JavaScript初学者需要领悟10个小技巧,LeetCode解题思路

JavaScript 面试中常见算法问题详解

2017/02/20 · JavaScript
· 1 评论 ·
算法

初稿出处:
王下邀月熊_Chevalier   

JavaScript
面试中常见算法问题详解 翻译自
Interview Algorithm Questions in Javascript()
{…}
从属于作者的 Web
前端入门与工程实施。下文提到的居多题材从算法角度并不一定要么困难,然则用
JavaScript 内置的 API 来形成或者需要一番勘验的。

1# Leetcode 367. Valid Perfect Square

Given a positive integer num, write a function which returns True if
num is a perfect square else False.

Note: Do not use any built-in library function such as sqrt.

Example 1:
Input: 16
Returns: True

Example 2:
Input: 14
Returns: False

思路:
以256举例
mid = 128 => 128 * 128 > 256 => end = mid = 128;
mid = 64 => 64 * 64 > 256 => end = mid = 64;
mid = 32 => 32 * 32 > 256 => end = mid = 32;
mid = 16 => 16 * 16 = 256 => return true;

以15举例
mid = 8 => 8 * 8 > 15 => end = mid = 8;
mid = 4 => 4 * 4 > 15 => end = mid = 4;
mid = 2 => 2 *JavaScript初学者需要领悟10个小技巧,LeetCode解题思路。 2 < 15 => start = mid = 2; end = 4;
mid = 3 => 3 * 3 < 15 => start = mid = 3; end = 4;
start + 1 = 3 + 1 = 4 = end, while loop end;
start = 3, 3 * 3 != 15 and end = 4, 4 * 4 != 15;
so return false;

public class Solution {
    public boolean isPerfectSquare(int num) {
        if (num < 1) {
            return false;
        }
        long start = 1;
        long end = num;
        while (start + 1 < end) {
            long mid = start + (end - start) / 2;
            if (mid * mid == num) {
                return true;
            } else if (mid * mid < num) {
                start = mid;
            } else {
                end = mid;
            }
        }
        if (start * start == num || end * end == num) {
            return true;
        }
        return false;
    }
}

做的一部分题的解题思路

因为多数的浏览器都和它分外,你可以在这多少个浏览器中采取它。JavaScript被接受的一对一快,因为它是这么的简练,而且使用范围相当普遍。许多程序员过去不时以为JavaScript是一门“玩具语言”,可是,AJAX进入市场后展现出了完全相反的一头,它让JavaScript彰显出了截然两样的能力和机能。
鉴于这些发明的产出,程序员现在早已得以创制带有桌面应用程序效果的Web应用程序了,这是很有益处的,因为数量可以更快地转移。这是有些精制技巧,它们可以帮忙初学者更好地动用JavaScript。JavaScript的选用范围分外常见,而且还有这么多的风格,所以它可以有很多的技能。此外,即便它很多的编程方法,不过自己只拔取了10个技巧,我觉着这么些技巧对初学者通晓JavaScript来说是很好的的起源。
1,在一个数组的末尾添加一个因素
本条技能可以让您利用Length属性在一个数组的最终添加一个元素,因为Length属性比数组的最终一个因素的下标多1。那一个艺术和“push”方法是平等的。例如:

JavaScript Specification

2# Leetcode 270 Closest Binary Search Tree Value

Product of Array Except Self

除本身之外的数组之积
Given an array of n integers where n > 1, nums, return an array
output such that output[i] is equal to the product of all the elements
of nums except nums[i].
Solve it without division and in O(n).
For example, given [1,2,3,4], return [24,12,8,6].

解题思路:拆分法
[A_234 , A_134 , A_124 , A_123 ]=
[1 , A_1 , A_12 , A_123 ]*
[A_234 , A_34 , A_4 , 1 ]

/**
 * Created by Administrator on 2017/5/8.
 */
public class LeetCode {

    public static void main(String[] args) {
        // int [] nums={5, 7, 1, 8,3, 10};  //测试
        int[] nums = {1, 3, 5, 6};
        int k = 5;
        int [] res = productExceptSelf(nums);
        for (int i=0;i<res.length;i++) {
            System.out.print(res[i]+" ");
        }
    }

    public static int[] productExceptSelf(int[] nums) {
        final int [] result = new int [nums.length];
        final int [] right = new int [nums.length];
        final int [] left = new int [nums.length];
        left[0]=1;
        for(int i=1;i<nums.length;i++){
            left[i]=left[i-1]*nums[i-1];
        }
        right[nums.length-1]=1;
        for(int i=nums.length-2;i>=0;i--){
            right[i]=right[i+1]*nums[i+1];
        }

        for (int i=0;i<nums.length;i++){
            result[i]=right[i]*left[i];
        }
        return  result;
    }
}

复制代码 代码如下:

阐释下 JavaScript 中的变量进步

所谓提高,顾名思义即是 JavaScript
会将具有的讲明提升到眼前功用域的顶部。这也就代表我们可以在某个变量讲明前就应用该变量,不过即便如此
JavaScript 会将宣示提高到顶部,然则并不会履行真的起头化过程。

3# Leetcode 167 Two Sum II – Input array is sorted

/** 
 *  Method one: Two points 一刷
 *    时间复杂度为O(n), 空间复杂度为O(1)。
 */
public int[] twoSum(int[] numbers, int target) {
    int start = 0;
    int end = numbers.length - 1;
    while (start < end) {
        if (numbers[start] + numbers[end] < target) {
            start ++;
        }
        else if(numbers[start] + numbers[end] > target) {
            end --;
        }
        else {
            break;
        }
    }
    return new int[]{start + 1, end + 1};
}

/**
 *     Method 2: Binary Search 一刷
 *     时间复杂度为O(logn), 空间复杂度为O(1)。
 */
public class Solution {
    public int[] twoSum(int[] numbers, int target) {
        int[] result = {0,0};
        int index1 = 0;
        int index2 = 0;

        for(int i = 0; i < numbers.length - 1; i++ ){
            index1 = i + 1;
            if(numbers[i] > target) {
                return result;
            }

            int gap = target - numbers[i];
            int start = i + 1;
            int end = numbers.length - 1;

            while(start + 1 < end){
                int mid = start + (end - start) / 2;
                if(numbers[mid] == gap) {
                    index2 = mid + 1;
                    result[0] = index1;
                    result[1] = index2;
                    return result;
                }
                if (numbers[mid] > gap) {
                    end = mid;
                }
                if (numbers[mid] < gap) {
                    start = mid;
                }
            }
            if (numbers[start] == gap) {
                result[0] = index1;
                result[1] = start + 1;
            }
            if (numbers[end] == gap) {
                result[0] = index1;
                result[1] = end + 1;
            }
        }
       return result;
    }
}

Increasing Triplet Subsequence

Given an unsorted array return whether an increasing subsequence of
length 3 exists or not in the array.

Formally the function should:
Return true if there exists i, j, k
such that arr[i] < arr[j] < arr[k] given 0 ≤ i < j < k
≤ n-1 else return false.
Your algorithm should run in O(n) time complexity and O(1) space
complexity.

Examples:
Given [1, 2, 3, 4, 5],
return true.

Given [5, 4, 3, 2, 1],
return false.
用整数最大值去比较,x1记录第一个数,x2记录第二大的数,当出现第三大的数,则return true。

public class Solution {
    public boolean increasingTriplet(int[] nums) {
        int x1=Integer.MAX_VALUE;
        int x2=Integer.MAX_VALUE;

        for(int x: nums){
            if(x<=x1) x1=x;
            else if(x<=x2) x2=x;
            else return true;
        }
        return false;
    }
}

var myArray = [];
myArray[myArray.length] = ‘New Element’;

阐述下 use strict; 的作用

use strict; 顾名思义也就是 JavaScript
会在所谓严谨情势下实施,其一个着重的优势在于可以强制开发者避免使用未表明的变量。对于老版本的浏览器依然执行引擎则会自行忽略该指令。

JavaScript

// Example of strict mode “use strict”; catchThemAll(); function
catchThemAll() { x = 3.14; // Error will be thrown return x * x; }

1
2
3
4
5
6
7
8
// Example of strict mode
"use strict";
 
catchThemAll();
function catchThemAll() {
  x = 3.14; // Error will be thrown
  return x * x;
}

4# Leetcode 441. Arranging Coins

You have a total of n coins that you want to form in a staircase
shape, where every k-th row must have exactly k coins.

Given n, find the total number of full staircase rows that can be
formed.

n is a non-negative integer and fits within the range of a 32-bit
signed integer.

Example 1: n = 5
The coins can form the following rows:
¤
¤ ¤
¤ ¤
Because the 3rd row is incomplete, we return 2.

Example 2: n = 8
The coins can form the following rows:
¤
¤ ¤
¤ ¤ ¤
¤ ¤
Because the 4th row is incomplete, we return 3.

思路:

1 + 2 + 3 + … + k <= n
=>
(k * ( k + 1)) / 2 <= n

public class Solution {
    public int arrangeCoins(int n) {
        int start = 0;
        int end = n;
        int mid = 0;
        while (start <= end){
            mid = start + (end - start) / 2 ;
            if ((0.5 * mid * mid + 0.5 * mid ) <= n){
                start = mid + 1;
            }else{
                end = mid - 1;
            }
        }
        return start - 1;
    }
}

Contains Duplicate II

Given an array of integers and an integer k, find out whether there are
two distinct indices i and j in the array such that nums[i] =
nums[j] and the absolute difference between i and j is at most k.

维护一个HashMap,key为整数,value为下标,将数组中的元素不断添加到这个Hashmap中,遇到重复时,计算下标距离;
用Integer.MAX_VALUE 设置为比较的初始值;
学会用HashMap是非常关键的。

public class LeetCode {
    public static void main(String[] args) {
        int[] nums = {1, 3, 5, 1,6};
        int k=3;
        System.out.print(containsNearbyDuplicate(nums,k));
    }

    public static boolean containsNearbyDuplicate(int[] nums, int k) {
        final Map<Integer,Integer> map = new HashMap<>();
        int min=Integer.MAX_VALUE;

        for(int i=0;i<nums.length;i++){
            if(map.containsKey(nums[i])){
                final int preIndex=map.get(nums[i]);
                final int gap = i-preIndex;
                min = Math.min(min,gap);
            }
            map.put(nums[i],i);
        }
        return min<=k;
    }
}

2,调整一个数组的长短
Length属性不是只读的,所以你可以设置Length属性的值。而且,你可以运用它增大或缩短数组的长度。例如:

分解下怎么是 伊夫nt Bubbling 以及咋样避免

伊夫nt Bubbling
即指某个事件不仅会触发当前元素,还会以嵌套顺序传递到父元素中。直观而言就是对于某个子元素的点击事件相同会被父元素的点击事件处理器捕获。防止伊芙(Eve)nt Bubbling 的不二法门得以采纳event.stopPropagation() 或者 IE 9
以下使用event.cancelBubble

5# Leetcode 35. Search Insert Position

Given a sorted array and a target value, return the index if the
target is found. If not, return the index where it would be if it were
inserted in order.

You may assume no duplicates in the array.

Here are few examples.
[1,3,5,6], 5 → 2
[1,3,5,6], 2 → 1
[1,3,5,6], 7 → 4
[1,3,5,6], 0 → 0

public class Solution {
    public int searchInsert(int[] nums, int target) {
        if (nums.length == 0 || nums == null) {
            return 0;
        }
        int start = 0;
        int end = nums.length - 1;
        while (start + 1 < end) {
            int mid = start + (end - start) / 2;
            if (nums[mid] == target) {
                return mid;
            }
            else if (nums[mid] < target) {
                start = mid;
            }
            else {
                end = mid;
            }
        }
        if (nums[start] >= target) {
            return start;
        }
        else if (nums[end] >= target) {
            return end;
        }
        else {
            return end + 1;
        }
    }
}

Add Two Numbers

You are given two non-empty linked lists representing two non-negative
integers. The digits are stored in reverse order and each of their nodes
contain a single digit. Add the two numbers and return it as a linked
list.

You may assume the two numbers do not contain any leading zero, except
the number 0 itself.

Input: (2 -> 4 -> 3) + (5 -> 6 -> 4)
Output: 7 -> 0 -> 8
主要学习怎么创建链表,怎么定义链表

public class LeetCode {
    public static void main(String[] args) {
        int[] inputl1=new int[]{2,4,3};
        int[] inputl2=new int[]{5,6,4};
        ListNode l1=buildListNode(inputl1);
        ListNode l2=buildListNode(inputl2);
        ListNode listNode =addTwoNumbers(l1,l2);
        while(listNode!=null){
            System.out.println("val "+listNode.val);
            listNode=listNode.next;
        }
    }
    //定义链表
   public static class ListNode{
        int val;
        ListNode next;
        ListNode(int val){
            this.val=val;
            this.next=null;
        }
    }
    //创建链表
    private static ListNode buildListNode(int[] input){
        ListNode first = null,last = null,newNode;
        int num;
        if(input.length>0){
            for(int i=0;i<input.length;i++){
                newNode=new ListNode(input[i]);
                newNode.next=null;
                if(first==null){
                    first=newNode;
                    last=newNode;
                }
                else{
                    last.next=newNode;
                    last=newNode;
                }
            }
        }
        return first;
    }

    /**
     * Definition for singly-linked list.
     * public class ListNode {
     *     int val;
     *     ListNode next;
     *     ListNode(int x) { val = x; }
     * }
     */
        public static ListNode addTwoNumbers(ListNode l1, ListNode l2) {
           ListNode dummy =new ListNode(-1);
           int carry = 0;
           ListNode prev = dummy;
           for(ListNode pa=l1 ,  pb=l2 ; pa!=null || pb!=null ;
            pa=pa==null?null : pa.next,
            pb=pb==null ? null : pb.next,
            prev=prev.next){
               final int ai=pa==null?0:pa.val;
               final int bi=pb==null?0:pb.val;
               final int value=(ai+bi+carry)%10;
               carry=(ai+bi+carry)/10;
               prev.next=new ListNode (value);
            }

            if(carry>0)
                prev.next=new ListNode (carry);
            return dummy.next;
    }
}

复制代码 代码如下:

== 与 === 的区分是哪些

=== 也就是所谓的严酷相比较,关键的界别在于===
会同时相比类型与值,而不是仅相比较值。

JavaScript

// Example of comparators 0 == false; // true 0 === false; // false 2 ==
‘2’; // true 2 === ‘2’; // false

1
2
3
4
5
6
// Example of comparators
0 == false; // true
0 === false; // false
 
2 == ‘2’; // true
2 === ‘2’; // false

6# Leetcode 374. Guess Number Higher or Lower

We are playing the Guess Game. The game is as follows:

I pick a number from 1 to n. You have to guess which number I picked.

Every time you guess wrong, I’ll tell you whether the number is higher
or lower.

You call a pre-defined API guess(int num) which returns 3 possible
results (-1, 1, or 0):

-1 : My number is lower
1 : My number is higher
0 : Congrats! You got it!

Example:
n = 10, I pick 6.
Return 6.

/* The guess API is defined in the parent class GuessGame.
   @param num, your guess
   @return -1 if my number is lower, 1 if my number is higher, otherwise return 0
      int guess(int num); */

public class Solution extends GuessGame {
    public int guessNumber(int n) {
        int start = 1, end = n;
        while(start + 1 < end) {
            int mid = start + (end - start) / 2;
            if(guess(mid) == 0) {
                return mid;
            } else if(guess(mid) == 1) {
                start = mid;
            } else {
                end = mid;
            }
        }
        if(guess(start) == 1) {
            return end;
        }
        return start;
    }
}

Evaluate Reverse Polish Notation

算算逆波兰表明式(又叫后缀表达式)的值

” 2 ”,” 1 ”,” + ”, ”3”, ”* ” –>(2+1)*3–>9

用堆栈遭逢运算符则把后边多个拿出去运算

public class Main {
    public static void main(String[] args) {
       String []tokens={"2", "1", "+", "3", "*"};
        System.out.print(evalRPN(tokens));
    }

    public static int evalRPN(String [] tokens){
        Stack<String> s = new Stack<>();
        if(tokens.length==1){
            return Integer.parseInt(tokens[0]);
        }
        for(String token:tokens){
            if(!isOperator(token)){
                s.push(token);
            }else {
                int y=Integer.parseInt(s.pop());
                int x=Integer.parseInt(s.pop());
                switch (token.charAt(0)){
                    case '+':x+=y;break;
                    case '-':x-=y;break;
                    case '*':x*=y;break;
                    case '/':x/=y;break;
                }
                s.push(String.valueOf(x));
            }
        }
        return Integer.parseInt(s.peek());
    }

    private static boolean isOperator(final String op){
        return op.length() == 1 && OPS.indexOf(op)!=-1;
    }

    private static String OPS = new String("+-*/");
}

var myArray = [1,2,3];
myArray.length // 3
myArray.length = 2; //Delete the last element
myArray.length = 20 // add 18 elements to the array; the elements have
the undefined value.

解释下 null 与 undefined 的区别

JavaScript 中,null 是一个足以被分配的值,设置为 null
的变量意味着其无值。而 undefined
则意味着着某个变量即使声称了然而从未开展过其他赋值。

7# Leetcode 69. Sqrt(x)

Implement int sqrt(int x).
Compute and return the square root of x.

public class Solution {
    public int mySqrt(int x) {
        long start = 1;
        long end = x;
        while (start + 1 < end) {
            long mid = start + (end - start) / 2;
            if(mid * mid <= x) {
                start = mid;
            }
            else {
                end = mid;
            }
        }
        if(end * end <= x) {
            return (int)end;
        }
        return (int)start;
    }
}

3,使用“!!”把自由数据类型转换成Boolean
其一技能能够让你选择“!!”把自由数据类型(比如string,
number或integer)转换成Boolean。例如:

解释下 Prototypal Inheritance 与 Classical Inheritance 的区别

在类继承中,类是不可变的,不同的言语中对于多延续的支撑也不一致,有些语言中还扶助接口、final、abstract
的概念。而原型继承则更加灵活,原型本身是可以可变的,并且对象可能继承自五个原型。

8# Leetcode 278. First Bad Version

You are a product manager and currently leading a team to develop a
new product. Unfortunately, the latest version of your product fails
the quality check. Since each version is developed based on the
previous version, all the versions after a bad version are also bad.

Suppose you have n versions [1, 2, …, n] and you want to find out
the first bad one, which causes all the following ones to be bad.

You are given an API bool isBadVersion(version) which will return
whether version is bad. Implement a function to find the first bad
version. You should minimize the number of calls to the API.

/* The isBadVersion API is defined in the parent class VersionControl.
      boolean isBadVersion(int version); */

public class Solution extends VersionControl {
    public int firstBadVersion(int n) {
        int start = 1;
        int end = n;
        while (start + 1 < end) {
            int mid = start + (end - start) / 2;
            if (isBadVersion(mid)) {
                end = mid;
            }
            else {
                start = mid;
            }
        }
        if(isBadVersion(start)) {
            return start;
        }
        return end;
    }
}

复制代码 代码如下:

数组

9# Leetcode 475. Heaters

Winter is coming! Your first job during the contest is to design a
standard heater with fixed warm radius to warm all the houses.

Now, you are given positions of houses and heaters on a horizontal
line, find out the minimum radius of heaters so that all houses could
be covered by those heaters.

So, your input will be the positions of houses and heaters separately,
and your expected output will be the minimum radius standard of
heaters.

Note:
Numbers of houses and heaters you are given are non-negative and will
not exceed 25000.

Positions of houses and heaters you are given are non-negative and
will not exceed 10^9.

As long as a house is in the heaters’ warm radius range, it can be
warmed.

All the heaters follow your radius standard and the warm radius will
the same.

Example 1:
Input: [1,2,3],[2]
Output: 1
Explanation: The only heater was placed in the position 2, and if we
use the radius 1 standard, then all the houses can be warmed.

Example 2:
Input: [1,2,3,4],[1,4]
Output: 1
Explanation: The two heater was placed in the position 1 and 4. We
need to use radius 1 standard, then all the houses can be warmed.

升序排列加热器的坐标heaters
遍历房屋houses,记当前房子坐标为house:
使用二分查找,分别找到不超出house的最大加热器坐标left,以及不低于house的矮小加热器坐标right(即左右以来的heater),
则当前房子所需的小不点儿加热器半径radius = min(house – left, right –
house)。利用radius更新最终答案。

public class Solution {
    public int findRadius(int[] houses, int[] heaters) {
        //sort
        Arrays.sort(houses);
        Arrays.sort(heaters);

        int radius = 0;
        for( int house: houses) {
            int local = binarySearch(heaters, house);
            radius = Math.max(radius, local);
        }
        return radius;
    }

    private int binarySearch(int[] heaters, int target) {
        int start = 0;
        int end = heaters.length - 1;
        while (start + 1 < end) {
            int mid = start + (end - start) / 2;
            if (heaters[mid] == target) {
                return 0;
            } else if (heaters[mid] < target) {
                start = mid;
            } else {
                end = mid;
            }
        }
        return Math.min (Math.abs(target - heaters[start]),
                        Math.abs(target - heaters[end]));
    }
}

var myString = ‘23255’;
typeof myString; //String
myString = !!myString;
typeof myString //Boolean

找出整型数组中乘积最大的六个数

给定一个涵盖整数的无序数组,要求找出乘积最大的多少个数。

JavaScript

var unsorted_array = [-10, 7, 29, 30, 5, -10, -70];
computeProduct(unsorted_array); // 21000 function sortIntegers(a, b) {
return a – b; } // greatest product is either (min1 * min2 * max1 ||
max1 * max2 * max3) function computeProduct(unsorted) { var
sorted_array = unsorted.sort(sortIntegers), product1 = 1, product2 = 1,
array_n_element = sorted_array.length – 1; // Get the product of
three largest integers in sorted array for (var x = array_n_element; x
> array_n_element – 3; x–) { product1 = product1 *
sorted_array[x]; } product2 = sorted_array[0] *
sorted_array[1] * sorted_array[array_n_element]; if (product1
> product2) return product1; return product2 };

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var unsorted_array = [-10, 7, 29, 30, 5, -10, -70];
 
computeProduct(unsorted_array); // 21000
 
function sortIntegers(a, b) {
  return a – b;
}
 
// greatest product is either (min1 * min2 * max1 || max1 * max2 * max3)
function computeProduct(unsorted) {
  var sorted_array = unsorted.sort(sortIntegers),
    product1 = 1,
    product2 = 1,
    array_n_element = sorted_array.length – 1;
 
  // Get the product of three largest integers in sorted array
  for (var x = array_n_element; x > array_n_element – 3; x–) {
      product1 = product1 * sorted_array[x];
  }
  product2 = sorted_array[0] * sorted_array[1] * sorted_array[array_n_element];
 
  if (product1 > product2) return product1;
 
  return product2
};

10# Leetcode 349. Intersection of Two Arrays

Given two arrays, write a function to compute their intersection.

Example:
Given nums1 = [1, 2, 2, 1], nums2 = [2, 2], return [2].

Note:
Each element in the result must be unique.
The result can be in any order.

public class Solution {
    public int[] intersection(int[] nums1, int[] nums2) {
        if(nums1 == null || nums2 == null) {
            return null;
        }

        HashSet<Integer> set = new HashSet<>();
        Arrays.sort(nums1);

        for (int i = 0; i < nums2.length; i++) {
            if(set.contains(nums2[i])){
                continue;
            }
            if(binarySearch(num1, nums2[i])) {
                set.add(nums2[i]);
            }
        }

        int[] result = new int[set.size()];
        int index = 0;
        for (Integer num : set) {
            result[index++] = num;
        }
        return result;
    }

    private boolean binarySearch(int[] nums, int target) {
        if (nums == null || nums.length == 0) {
            return false;
        }
        int start = 0;
        int end = nums.length - 1;
        while (start + 1 < end) {
            int mid = start + (end - start) / 2;
            if (nums[mid] == target) {
                return true;
            }
            else if (nums[mid] < target) {
                start = mid;
            }
            else {
                end = mid;
            }
        }

        if(nums[start] == target || nums[end] == target) {
            return true;
        }
        return false;
    }
}

4,把Number转换成String
以此技术可以让你在number的末段添加一个空的string来把number转换成string,例如:

检索连续数组中的缺失数

给定某无序数组,其蕴含了 n 个连续数字中的 n – 1
个,已知上下面界,要求以O(n)的复杂度找出缺失的数字。

JavaScript

// The output of the function should be 8 var array_of_integers = [2,
5, 1, 4, 9, 6, 3, 7]; var upper_bound = 9; var lower_bound = 1;
findMissingNumber(array_of_integers, upper_bound, lower_bound); //8
function findMissingNumber(array_of_integers, upper_bound,
lower_bound) { // Iterate through array to find the sum of the numbers
var sum_of_integers = 0; for (var i = 0; i <
array_of_integers.length; i++) { sum_of_integers +=
array_of_integers[i]; } // 以高斯求和公式总结理论上的数组和 //
Formula: [(N * (N + 1)) / 2] – [(M * (M – 1)) / 2]; // N is the
upper bound and M is the lower bound upper_limit_sum = (upper_bound
* (upper_bound + 1)) / 2; lower_limit_sum = (lower_bound *
(lower_bound – 1)) / 2; theoretical_sum = upper_limit_sum –
lower_limit_sum; // return (theoretical_sum – sum_of_integers) }

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// The output of the function should be 8
var array_of_integers = [2, 5, 1, 4, 9, 6, 3, 7];
var upper_bound = 9;
var lower_bound = 1;
 
findMissingNumber(array_of_integers, upper_bound, lower_bound); //8
 
function findMissingNumber(array_of_integers, upper_bound, lower_bound) {
 
  // Iterate through array to find the sum of the numbers
  var sum_of_integers = 0;
  for (var i = 0; i < array_of_integers.length; i++) {
    sum_of_integers += array_of_integers[i];
  }
 
  // 以高斯求和公式计算理论上的数组和
  // Formula: [(N * (N + 1)) / 2] – [(M * (M – 1)) / 2];
  // N is the upper bound and M is the lower bound
 
  upper_limit_sum = (upper_bound * (upper_bound + 1)) / 2;
  lower_limit_sum = (lower_bound * (lower_bound – 1)) / 2;
 
  theoretical_sum = upper_limit_sum – lower_limit_sum;
 
  //
  return (theoretical_sum – sum_of_integers)
}

11# Leetcode 350. Intersection of Two Arrays II

Given two arrays, write a function to compute their intersection.

Example:
Given nums1 = [1, 2, 2, 1], nums2 = [2, 2], return [2, 2].

Note:
Each element in the result should appear as many times as it shows in
both arrays.
The result can be in any order.
Follow up:
What if the given array is already sorted? How would you optimize your
algorithm?
What if nums1’s size is small compared to nums2’s size? Which
algorithm is better?
What if elements of nums2 are stored on disk, and the memory is
limited such that you cannot load all elements into the memory at
once?

public class Solution {
    public int[] intersect(int[] nums1, int[] nums2) {
        Arrays.sort(nums1);
        Arrays.sort(nums2);
        int index1 = 0;
        int index2 = 0;
        List<Integer> list = new ArrayList<>();
        while(index1 < nums1.length && index2 < nums2.length) {
            if (nums1[index1] == nums2[index2]) {
                list.add(nums1[index1]);
                index1++;
                index2++;
            } else if (nums1[index1] < nums2[index2]) {
                index1++;
            } else if (nums1[index1] > nums2[index2]) {
                index2++;
            }
        }
        int[] result = new int[list.size()];
        int index = 0;
        for (int element: list) {
            result[index++] = element;
        }
        return result;
    }
}

复制代码 代码如下:

数组去重

给定某无序数组,要求删减数组中的重复数字并且重临新的无重复数组。

JavaScript

// ES6 Implementation var array = [1, 2, 3, 5, 1, 5, 9, 1, 2, 8];
Array.from(new Set(array)); // [1, 2, 3, 5, 9, 8] // ES5
Implementation var array = [1, 2, 3, 5, 1, 5, 9, 1, 2, 8];
uniqueArray(array); // [1, 2, 3, 5, 9, 8] function uniqueArray(array)
{ var hashmap = {}; var unique = []; for(var i = 0; i <
array.length; i++) { // If key returns null (unique), it is evaluated as
false. if(!hashmap.hasOwnProperty([array[i]])) {
hashmap[array[i]] = 1; unique.push(array[i]); } } return unique; }

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// ES6 Implementation
var array = [1, 2, 3, 5, 1, 5, 9, 1, 2, 8];
 
Array.from(new Set(array)); // [1, 2, 3, 5, 9, 8]
 
 
// ES5 Implementation
var array = [1, 2, 3, 5, 1, 5, 9, 1, 2, 8];
 
uniqueArray(array); // [1, 2, 3, 5, 9, 8]
 
function uniqueArray(array) {
  var hashmap = {};
  var unique = [];
  for(var i = 0; i < array.length; i++) {
    // If key returns null (unique), it is evaluated as false.
    if(!hashmap.hasOwnProperty([array[i]])) {
      hashmap[array[i]] = 1;
      unique.push(array[i]);
    }
  }
  return unique;
}

12# Leetcode 153. Find Minimum in Rotated Sorted Array

Suppose an array sorted in ascending order is rotated at some pivot
unknown to you beforehand. (i.e., 0 1 2 4 5 6 7 might become 4 5 6 7 0
1 2).

Find the minimum element.

You may assume no duplicate exists in the array.

public class Solution {
    public int findMin(int[] nums) {
        if (nums == null || nums.length == 0) {
            return -1;
        }
        int start = 0;
        int end = nums.length - 1;
        int target = nums[nums.length - 1];

        while (start + 1 < end) {
            int mid = start + (end - start) / 2;
            if (nums[mid] <= target) {
                end = mid;
            }
            else {
                start = mid;
            }
        }
        if (nums[start] <= target) {
            return nums[start];
        } else {
            return nums[end];
        }
    }
}

var mynumber = 234;
typeof mynumber; //Number
mynumber += ”;
typeof mynumber; //String

数组中元素最大差值总括

给定某无序数组,求取任意四个因素之间的最大差值,注意,这里要求差值总结中较小的元素下标必须低于较大因素的下标。譬如[7, 8, 4, 9, 9, 15, 3, 1, 10]本条数组的总计值是
11( 15 – 4 ) 而不是 14(15 – 1),因为 15 的下标小于 1。

JavaScript

var array = [7, 8, 4, 9, 9, 15, 3, 1, 10]; // [7, 8, 4, 9, 9, 15, 3,
1, 10] would return `11` based on the difference between `4` and
`15` // Notice: It is not `14` from the difference between `15`
and `1` because 15 comes before 1. findLargestDifference(array);
function findLargestDifference(array) { //
即使数组仅有一个元素,则平昔重返 -1 if (array.length <= 1) return -1;
// current_min 指向当前的小小值 var current_min = array[0]; var
current_max_difference = 0; //
遍历整个数组以求取当前最大差值,假若发现某个最大差值,则将新的值覆盖
current_max_澳门葡京 ,difference // 同时也会追踪当前数组中的最小值,从而确保
`largest value in future` – `smallest value before it` for (var i =
1; i < array.length; i++) { if (array[i] > current_min &&
(array[i] – current_min > current_max_difference)) {
current_max_difference = array[i] – current_min; } else if
(array[i] <= current_min) { current_min = array[i]; } } // If
negative or 0, there is no largest difference if
(current_max_difference <= 0) return -1; return
current_max_difference; }

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var array = [7, 8, 4, 9, 9, 15, 3, 1, 10];
// [7, 8, 4, 9, 9, 15, 3, 1, 10] would return `11` based on the difference between `4` and `15`
// Notice: It is not `14` from the difference between `15` and `1` because 15 comes before 1.
 
findLargestDifference(array);
 
function findLargestDifference(array) {
 
  // 如果数组仅有一个元素,则直接返回 -1
 
  if (array.length <= 1) return -1;
 
  // current_min 指向当前的最小值
 
  var current_min = array[0];
  var current_max_difference = 0;
  
  // 遍历整个数组以求取当前最大差值,如果发现某个最大差值,则将新的值覆盖 current_max_difference
  // 同时也会追踪当前数组中的最小值,从而保证 `largest value in future` – `smallest value before it`
 
  for (var i = 1; i < array.length; i++) {
    if (array[i] > current_min && (array[i] – current_min > current_max_difference)) {
      current_max_difference = array[i] – current_min;
    } else if (array[i] <= current_min) {
      current_min = array[i];
    }
  }
 
  // If negative or 0, there is no largest difference
  if (current_max_difference <= 0) return -1;
 
  return current_max_difference;
}

13# Leetcode 154. Find Minimum in Rotated Sorted Array II

// version 1: just for loop is enough
public class Solution {
    public int findMin(int[] nums) {
        //  这道题目在面试中不会让写完整的程序
        //  只需要知道最坏情况下 [1,1,1....,1] 里有一个0
        //  这种情况使得时间复杂度必须是 O(n)
        //  因此写一个for循环就好了。
        //  如果你觉得,不是每个情况都是最坏情况,你想用二分法解决不是最坏情况的情况,那你就写一个二分吧。
        //  反正面试考的不是你在这个题上会不会用二分法。这个题的考点是你想不想得到最坏情况。
        int min = nums[0];
        for (int i = 1; i < nums.length; i++) {
            if (nums[i] < min)
                min = nums[i];
        }
        return min;
    }
}

// version 2: use *fake* binary-search
public class Solution {
    /**
     * @param num: a rotated sorted array
     * @return: the minimum number in the array
     */
    public int findMin(int[] nums) {
        if (nums == null || nums.length == 0) {
            return -1;
        }

        int start = 0, end = nums.length - 1;
        while (start + 1 < end) {
            int mid = start + (end - start) / 2;
            if (nums[mid] == nums[end]) {
                // if mid equals to end, that means it's fine to remove end
                // the smallest element won't be removed
                end--;
            } else if (nums[mid] < nums[end]) {
                end = mid;
            } else {
                start = mid;
            }
        }

        if (nums[start] <= nums[end]) {
            return nums[start];
        }
        return nums[end];
    }
}

5,通晓一个函数需要有些个变量
这是一个伟大的技术,可以让您精确地掌握一个函数需要有些个变量。例如:

数组中元素乘积

给定某无序数组,要求重回新数组 output ,其中 output[i]
为原数组中除了下标为 i 的元素之外的元素乘积,要求以 O(n) 复杂度实现:

JavaScript

var firstArray = [2, 2, 4, 1]; var secondArray = [0, 0, 0, 2]; var
thirdArray = [-2, -2, -3, 2]; productExceptSelf(firstArray); // [8,
8, 4, 16] productExceptSelf(secondArray); // [0, 0, 0, 0]
productExceptSelf(thirdArray); // [12, 12, 8, -12] function
productExceptSelf(numArray) { var product = 1; var size =
numArray.length; var output = []; // From first array: [1, 2, 4, 16]
// The last number in this case is already in the right spot (allows for
us) // to just multiply by 1 in the next step. // This step essentially
gets the product to the left of the index at index + 1 for (var x = 0; x
< size; x++) { output.push(product); product = product *
numArray[x]; } // From the back, we multiply the current output
element (which represents the product // on the left of the index, and
multiplies it by the product on the right of the element) var product =
1; for (var i = size – 1; i > -1; i–) { output[i] = output[i] *
product; product = product * numArray[i]; } return output; }

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var firstArray = [2, 2, 4, 1];
var secondArray = [0, 0, 0, 2];
var thirdArray = [-2, -2, -3, 2];
 
productExceptSelf(firstArray); // [8, 8, 4, 16]
productExceptSelf(secondArray); // [0, 0, 0, 0]
productExceptSelf(thirdArray); // [12, 12, 8, -12]
 
function productExceptSelf(numArray) {
  var product = 1;
  var size = numArray.length;
  var output = [];
 
  // From first array: [1, 2, 4, 16]
  // The last number in this case is already in the right spot (allows for us)
  // to just multiply by 1 in the next step.
  // This step essentially gets the product to the left of the index at index + 1
  for (var x = 0; x < size; x++) {
      output.push(product);
      product = product * numArray[x];
  }
 
  // From the back, we multiply the current output element (which represents the product
  // on the left of the index, and multiplies it by the product on the right of the element)
  var product = 1;
  for (var i = size – 1; i > -1; i–) {
      output[i] = output[i] * product;
      product = product * numArray[i];
  }
 
  return output;
}

14# Leetcode 33. Search in Rotated Sorted Array

Suppose an array sorted in ascending order is rotated at some pivot
unknown to you beforehand.

(i.e., 0 1 2 4 5 6 7 might become 4 5 6 7 0 1 2).

You are given a target value to search. If found in the array return
its index, otherwise return -1.

You may assume no duplicate exists in the array.

public class Solution {
    public int search(int[] nums, int target) {
        if (nums == null || nums.length == 0) {
            return -1;
        }
        int start = 0;
        int end = nums.length - 1;
        while (start + 1 < end) {
            int mid = start + (end - start) / 2;
            if (nums[mid] == target) {
                return mid;
            }
            if (nums[start] < nums[mid]) {
                if (nums[start] <= target && target <= nums[mid]) {
                    end = mid;
                } else {
                    start = mid;
                } 
            }
            else {
                if (nums[mid] <= target && target <= nums[end]) {
                    start = mid;
                }
                else {
                    end = mid;
                }
            }
        }
        if (nums[start] == target) {
            return start;
        }
        if (nums[end] ==  target) {
            return end;
        }
        return -1;
    }
}

复制代码 代码如下:

数组交集

给定多少个数组,要求求出多少个数组的交集,注意,交集中的要素应该是绝无仅有的。

JavaScript

var firstArray = [2, 2, 4, 1]; var secondArray = [1, 2, 0, 2];
intersection(firstArray, secondArray); // [2, 1] function
intersection(firstArray, secondArray) { // The logic here is to create a
hashmap with the elements of the firstArray as the keys. // After that,
you can use the hashmap’s O(1) look up time to check if the element
exists in the hash // If it does exist, add that element to the new
array. var hashmap = {}; var intersectionArray = [];
firstArray.forEach(function(element) { hashmap[element] = 1; }); //
Since we only want to push unique elements in our case… we can
implement a counter to keep track of what we already added
secondArray.forEach(function(element) { if (hashmap[element] === 1) {
intersectionArray.push(element); hashmap[element]++; } }); return
intersectionArray; // Time complexity O(n), Space complexity O(n) }

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var firstArray = [2, 2, 4, 1];
var secondArray = [1, 2, 0, 2];
 
intersection(firstArray, secondArray); // [2, 1]
 
function intersection(firstArray, secondArray) {
  // The logic here is to create a hashmap with the elements of the firstArray as the keys.
  // After that, you can use the hashmap’s O(1) look up time to check if the element exists in the hash
  // If it does exist, add that element to the new array.
 
  var hashmap = {};
  var intersectionArray = [];
 
  firstArray.forEach(function(element) {
    hashmap[element] = 1;
  });
 
  // Since we only want to push unique elements in our case… we can implement a counter to keep track of what we already added
  secondArray.forEach(function(element) {
    if (hashmap[element] === 1) {
      intersectionArray.push(element);
      hashmap[element]++;
    }
  });
 
  return intersectionArray;
 
  // Time complexity O(n), Space complexity O(n)
}

15# Leetcode 81. Search in Rotated Sorted Array II

Follow up for “Search in Rotated Sorted Array”:
What if duplicates are allowed?

Would this affect the run-time complexity? How and why?
Suppose an array sorted in ascending order is rotated at some pivot
unknown to you beforehand. (i.e., 0 1 2 4 5 6 7 might become 4 5 6 7 0
1 2).

Write a function to determine if a given target is in the array.

The array may contain duplicates.

public class Solution {
    // 这个问题在面试中不会让实现完整程序
    // 只需要举出能够最坏情况的数据是 [1,1,1,1... 1] 里有一个0即可。
    // 在这种情况下是无法使用二分法的,复杂度是O(n)
    // 因此写个for循环最坏也是O(n),那就写个for循环就好了
    //  如果你觉得,不是每个情况都是最坏情况,你想用二分法解决不是最坏情况的情况,那你就写一个二分吧。
    //  反正面试考的不是你在这个题上会不会用二分法。这个题的考点是你想不想得到最坏情况。
    public boolean search(int[] nums, int target) {
        for (int i = 0; i < nums.length; i ++) {
            if (nums[i] == target) {
                return true;
            }
        }
        return false;
    }
}

function add_nums(num1, num2){
return num1 + num2;
}
add_nums.length // 2 is the amount of parameters expected by the
function add_nums

字符串

16# Leetcode 34. Search for a Range

Given an array of integers sorted in ascending order, find the
starting and ending position of a given target value.

Your algorithm’s runtime complexity must be in the order of O(log n).

If the target is not found in the array, return [-1, -1].

For example,
Given [5, 7, 7, 8, 8, 10] and target value 8,
return [3, 4].

public class Solution {
    public int[] searchRange(int[] nums, int target) {
       if (nums.length == 0) {
            return new int[]{-1,-1};
        }
        int[] bound = new int[2];
        // search for left bound
        int start = 0;
        int end = nums.length - 1;
        while (start + 1 < end) {
            int mid = start + (end - start) / 2;
            if (nums[mid] == target) {
                end = mid;
            } else if (nums[mid] < target) {
                start = mid;
            } else {
                end = mid;
            }
        }
        if (nums[start] == target) {
            bound[0] = start;
        } else if (nums[end] == target) {
            bound[0] = end;
        } else {
            bound[0] = bound[1] = -1;
            return bound;
        }
        //search for right bound
        start = 0;
        end = nums.length - 1;
        while (start + 1 < end) {
            int mid = start + (end - start) / 2;
            if (nums[mid] == target) {
                start = mid;
            } else if (nums[mid] < target) {
                start = mid;
            } else {
                end = mid;
            }
        }
        if (nums[end] == target) {
            bound[1] = end;
        } else if (nums[start] == target) {
            bound[1] = start;
        } else {
            bound[0] = bound[1] = -1;
            return bound;
        }
        return bound;
    }
}

6,使用“arguments”对象来打听一个函数接收到了不怎么个参数
本条技术可以让你选用“arguments”对象来打探一个函数接收到了多少个参数。例如:

颠倒字符串

加以某个字符串,要求将里面单词倒转之后然后输出,譬如”Welcome to this
Javascript Guide!” 应该出口为 “emocleW ot siht tpircsavaJ !ediuG”。

JavaScript

var string = “Welcome to this Javascript Guide!”; // Output becomes
!ediuG tpircsavaJ siht ot emocleW var reverseEntireSentence =
reverseBySeparator(string, “”); // Output becomes emocleW ot siht
tpircsavaJ !ediuG var reverseEachWord =
reverseBySeparator(reverseEntireSentence, ” “); function
reverseBySeparator(string, separator) { return
string.split(separator).reverse().join(separator); }

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var string = "Welcome to this Javascript Guide!";
 
// Output becomes !ediuG tpircsavaJ siht ot emocleW
var reverseEntireSentence = reverseBySeparator(string, "");
 
// Output becomes emocleW ot siht tpircsavaJ !ediuG
var reverseEachWord = reverseBySeparator(reverseEntireSentence, " ");
 
function reverseBySeparator(string, separator) {
  return string.split(separator).reverse().join(separator);
}

17# Leetcode 74. Search a 2D Matrix

Write an efficient algorithm that searches for a value in an m x n
matrix. This matrix has the following properties:

Integers in each row are sorted from left to right.
The first integer of each row is greater than the last integer of the
previous row.

For example,
Consider the following matrix:
[
[1, 3, 5, 7],
[10, 11, 16, 20],
[23, 30, 34, 50]
]
Given target = 3, return true.

public class Solution {
    public boolean searchMatrix(int[][] matrix, int target) {
        if (matrix == null || matrix.length == 0 || matrix[0] == null || matrix[0].length == 0) {
            return false;
        }
        int row = matrix.length;
        int column = matrix[0].length;
        int start = 0;
        int end = row * column - 1;
        while (start + 1 < end) {
            int mid = start + (end - start) / 2;
            int number = matrix[mid / column][mid % column];
            if (number == target) {
                return true;
            } else if (number < target) {
                start = mid;
            } else {
                end = mid;
            }
        }
        if (matrix[start / column][start % column] == target) {
            return true;
        } else if (matrix[end / column][end % column] == target) {
            return true;
        }
        return false;
    }
}

复制代码 代码如下:

乱序同字母字符串

给定两个字符串,判断是否颠倒字母而成的字符串,譬如MaryArmy即使同字母而一一颠倒:

JavaScript

var firstWord = “Mary”; var secondWord = “Army”; isAnagram(firstWord,
secondWord); // true function isAnagram(first, second) { // For case
insensitivity, change both words to lowercase. var a =
first.toLowerCase(); var b = second.toLowerCase(); // Sort the strings,
and join the resulting array to a string. Compare the results a =
a.split(“”).sort().join(“”); b = b.split(“”).sort().join(“”); return a
=== b; }

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var firstWord = "Mary";
var secondWord = "Army";
 
isAnagram(firstWord, secondWord); // true
 
function isAnagram(first, second) {
  // For case insensitivity, change both words to lowercase.
  var a = first.toLowerCase();
  var b = second.toLowerCase();
 
  // Sort the strings, and join the resulting array to a string. Compare the results
  a = a.split("").sort().join("");
  b = b.split("").sort().join("");
 
  return a === b;
}

18# Leetcode 240. Search a 2D Matrix II

Write an efficient algorithm that searches for a value in an m x n
matrix. This matrix has the following properties:

Integers in each row are sorted in ascending from left to right.
Integers in each column are sorted in ascending from top to bottom.
For example,

Consider the following matrix:

[
[1, 4, 7, 11, 15],
[2, 5, 8, 12, 19],
[3, 6, 9, 16, 22],
[10, 13, 14, 17, 24],
[18, 21, 23, 26, 30]
]

Given target = 5, return true.
Given target = 20, return false.

public class Solution {
    public boolean searchMatrix(int[][] matrix, int target) {
        if (matrix == null || matrix.length == 0 || matrix[0].length == 0) {
            return false;
        }
        int row = 0;
        int col = matrix[0].length - 1;
        while (col >= 0 && row <= matrix.length - 1) {
            if (target == matrix[row][col]) {
                return true;
            } else if (target < matrix[row][col]) {
                col--;
            } else if (target > matrix[row][col]) {
                row ++;
            }
        }
        return false;
    }
}

function add_nums(){
return arguments.length;
}
add_nums(23,11,32,56,89,89,89,44,6); //this return the number 9

会问字符串

判断某个字符串是否为回文字符串,譬如racecarrace car都是回文字符串:

JavaScript

isPalindrome(“racecar”); // true isPalindrome(“race Car”); // true
function isPalindrome(word) { // Replace all non-letter chars with “”
and change to lowercase var lettersOnly =
word.toLowerCase().replace(/\s/g, “”); // Compare the string with the
reversed version of the string return lettersOnly ===
lettersOnly.split(“”).reverse().join(“”); }

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isPalindrome("racecar"); // true
isPalindrome("race Car"); // true
 
function isPalindrome(word) {
  // Replace all non-letter chars with "" and change to lowercase
  var lettersOnly = word.toLowerCase().replace(/\s/g, "");
 
  // Compare the string with the reversed version of the string
  return lettersOnly === lettersOnly.split("").reverse().join("");
}

19# Leetcode 230. Kth Smallest Element in a BST

当你需要检查参数个数的可行的时候,或者当你需要成立一个不确定参数个数的函数的时候,这多少个技术是很有用的。

栈与队列

20# Leetcode 378. Kth Smallest Element in a Sorted Matrix

复制代码 代码如下:

运用三个栈实现入队与出队

JavaScript

var inputStack = []; // First stack var outputStack = []; // Second
stack // For enqueue, just push the item into the first stack function
enqueue(stackInput, item) { return stackInput.push(item); } function
dequeue(stackInput, stackOutput) { // Reverse the stack such that the
first element of the output stack is the // last element of the input
stack. After that, pop the top of the output to // get the first element
that was ever pushed into the input stack if (stackOutput.length <=
0) { while(stackInput.length > 0) { var elementToOutput =
stackInput.pop(); stackOutput.push(elementToOutput); } } return
stackOutput.pop(); }

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var inputStack = []; // First stack
var outputStack = []; // Second stack
 
// For enqueue, just push the item into the first stack
function enqueue(stackInput, item) {
  return stackInput.push(item);
}
 
function dequeue(stackInput, stackOutput) {
  // Reverse the stack such that the first element of the output stack is the
  // last element of the input stack. After that, pop the top of the output to
  // get the first element that was ever pushed into the input stack
  if (stackOutput.length <= 0) {
    while(stackInput.length > 0) {
      var elementToOutput = stackInput.pop();
      stackOutput.push(elementToOutput);
    }
  }
 
  return stackOutput.pop();
}

21# Leetcode 162. Find Peak Element

function sum_three_nums( ){
if(arguments.length!=3) throw new Error(‘received ‘ + arguments.length +
‘ parameters and should work with 3’);
}
sum_three_nums(23,43); //Return the error message
function sum_num(){
var total = 0;
for(var i=0;i<arguments .length;i++){
total+=arguments[i];
}
return total;
}
sum_num(2,34,45,56,56);

认清大括号是否关闭

成立一个函数来判断给定的表达式中的大括号是否关闭:

JavaScript

var expression = “{{}}{}{}” var expressionFalse = “{}{{}”;
isBalanced(expression); // true isBalanced(expressionFalse); // false
isBalanced(“”); // true function isBalanced(expression) { var
checkString = expression; var stack = []; // If empty, parentheses are
technically balanced if (checkString.length <= 0) return true; for
(var i = 0; i < checkString.length; i++) { if(checkString[i] ===
‘{‘) { stack.push(checkString[i]); } else if (checkString[i] ===
‘}’) { // Pop on an empty array is undefined if (stack.length > 0) {
stack.pop(); } else { return false; } } } // If the array is not empty,
it is not balanced if (stack.pop()) return false; return true; }

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var expression = "{{}}{}{}"
var expressionFalse = "{}{{}";
 
isBalanced(expression); // true
isBalanced(expressionFalse); // false
isBalanced(""); // true
 
function isBalanced(expression) {
  var checkString = expression;
  var stack = [];
 
  // If empty, parentheses are technically balanced
  if (checkString.length <= 0) return true;
 
  for (var i = 0; i < checkString.length; i++) {
    if(checkString[i] === ‘{‘) {
      stack.push(checkString[i]);
    } else if (checkString[i] === ‘}’) {
      // Pop on an empty array is undefined
      if (stack.length > 0) {
        stack.pop();
      } else {
        return false;
      }
    }
  }
 
  // If the array is not empty, it is not balanced
  if (stack.pop()) return false;
  return true;
}

22# Leetcode 454. 4Sum II

Given four lists A, B, C, D of integer values, compute how many tuples
(i, j, k, l) there are such that A[i] + B[j] + C[k] + D[l] is
zero.

To make problem a bit easier, all A, B, C, D have same length of N
where 0 ≤ N ≤ 500. All integers are in the range of -228 to 228 – 1
and the result is guaranteed to be at most 231 – 1.

Example:
Input:
A = [ 1, 2]
B = [-2,-1]
C = [-1, 2]
D = [ 0, 2]

Output:
2

Explanation:
The two tuples are:

  1. (0, 0, 0, 1) -> A[0] + B[0] + C[0] + D[1] = 1 + (-2) +
    (-1) + 2 = 0
  2. (1, 1, 0, 0) -> A[1] + B[1] + C[0] + D[0] = 2 + (-1) +
    (-1) + 0 = 0

7,把目的正是参数,来社团和革新函数
在现代Web开发中,对象最常见的一个用途是把它们正是函数的参数。要牢记函数参数的这多少个规则总是很不便的;然而,使用一个对象是丰盛有实益的,因为我们不必再担心参数的平整了。而且,它更有协会性,可以让用户更好的掌握大家要做什么样。这些主意可以让你把目标正是参数,来集团和改正函数。例如:

递归

23# Leetcode 436. Find Right Interval

Given a set of intervals, for each of the interval i, check if there
exists an interval j whose start point is bigger than or equal to the
end point of the interval i, which can be called that j is on the
“right” of i.

For any interval i, you need to store the minimum interval j’s index,
which means that the interval j has the minimum start point to build
the “right” relationship for interval i. If the interval j doesn’t
exist, store -1 for the interval i. Finally, you need output the
stored value of each interval as an array.

Note:
You may assume the interval’s end point is always bigger than its
start point.
You may assume none of these intervals have the same start point.
Example 1:
Input: [ [1,2] ]
Output: [-1]
Explanation: There is only one interval in the collection, so it
outputs -1.

Example 2:
Input: [ [3,4], [2,3], [1,2] ]
Output: [-1, 0, 1]
Explanation: There is no satisfied “right” interval for [3,4].
For [2,3], the interval [3,4] has minimum-“right” start point;
For [1,2], the interval [2,3] has minimum-“right” start point.

Example 3:
Input: [ [1,4], [2,3], [3,4] ]
Output: [-1, 2, -1]
Explanation: There is no satisfied “right” interval for [1,4] and
[3,4].
For [2,3], the interval [3,4] has minimum-“right” start point.

复制代码 代码如下:

二进制转换

通过某个递归函数将输入的数字转化为二进制字符串:

JavaScript

decimalToBinary(3); // 11 decimalToBinary(8); // 1000
decimalToBinary(1000); // 1111101000 function decimalToBinary(digit) {
if(digit >= 1) { // If digit is not divisible by 2 then recursively
return proceeding // binary of the digit minus 1, 1 is added for the
leftover 1 digit if (digit % 2) { return decimalToBinary((digit – 1) /
2) + 1; } else { // Recursively return proceeding binary digits return
decimalToBinary(digit / 2) + 0; } } else { // Exit condition return ”;
} }

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decimalToBinary(3); // 11
decimalToBinary(8); // 1000
decimalToBinary(1000); // 1111101000
 
function decimalToBinary(digit) {
  if(digit >= 1) {
    // If digit is not divisible by 2 then recursively return proceeding
    // binary of the digit minus 1, 1 is added for the leftover 1 digit
    if (digit % 2) {
      return decimalToBinary((digit – 1) / 2) + 1;
    } else {
      // Recursively return proceeding binary digits
      return decimalToBinary(digit / 2) + 0;
    }
  } else {
    // Exit condition
    return ”;
  }
}

24# Leetcode 300. Longest Increasing Subsequence

Given an unsorted array of integers, find the length of longest
increasing subsequence.

For example,
Given [10, 9, 2, 5, 3, 7, 101, 18],
The longest increasing subsequence is [2, 3, 7, 101], therefore the
length is 4. Note that there may be more than one LIS combination, it
is only necessary for you to return the length.

Your algorithm should run in O(n2) complexity.
Follow up: Could you improve it to O(n log n) time complexity?

function insertData(name,lastName,phone,address){
code here;
}

二分查找

JavaScript

function recursiveBinarySearch(array, value, leftPosition,
rightPosition) { // Value DNE if (leftPosition > rightPosition)
return -1; var middlePivot = Math.floor((leftPosition + rightPosition) /
2); if (array[middlePivot] === value) { return middlePivot; } else if
(array[middlePivot] > value) { return recursiveBinarySearch(array,
value, leftPosition, middlePivot – 1); } else { return
recursiveBinarySearch(array, value, middlePivot + 1, rightPosition); } }

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function recursiveBinarySearch(array, value, leftPosition, rightPosition) {
  // Value DNE
  if (leftPosition > rightPosition) return -1;
 
  var middlePivot = Math.floor((leftPosition + rightPosition) / 2);
  if (array[middlePivot] === value) {
    return middlePivot;
  } else if (array[middlePivot] > value) {
    return recursiveBinarySearch(array, value, leftPosition, middlePivot – 1);
  } else {
    return recursiveBinarySearch(array, value, middlePivot + 1, rightPosition);
  }
}

25# Leetcode 287. Find the Duplicate Number

重构将来的代码是这么的:

数字

26# Leetcode 275. H-Index II

复制代码 代码如下:

判断是否为 2 的指数值

JavaScript

isPowerOfTwo(4); // true isPowerOfTwo(64); // true isPowerOfTwo(1); //
true isPowerOfTwo(0); // false isPowerOfTwo(-1); // false // For the
non-zero case: function isPowerOfTwo(number) { // `&` uses the bitwise
n. // In the case of number = 4; the expression would be identical to:
// `return (4 & 3 === 0)` // In bitwise, 4 is 100, and 3 is 011. Using
&, if two values at the same // spot is 1, then result is 1, else 0. In
this case, it would return 000, // and thus, 4 satisfies are expression.
// In turn, if the expression is `return (5 & 4 === 0)`, it would be
false // since it returns 101 & 100 = 100 (NOT === 0) return number &
(number – 1) === 0; } // For zero-case: function
isPowerOfTwoZeroCase(number) { return (number !== 0) && ((number &
(number – 1)) === 0); }

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isPowerOfTwo(4); // true
isPowerOfTwo(64); // true
isPowerOfTwo(1); // true
isPowerOfTwo(0); // false
isPowerOfTwo(-1); // false
 
// For the non-zero case:
function isPowerOfTwo(number) {
  // `&` uses the bitwise n.
  // In the case of number = 4; the expression would be identical to:
  // `return (4 & 3 === 0)`
  // In bitwise, 4 is 100, and 3 is 011. Using &, if two values at the same
  // spot is 1, then result is 1, else 0. In this case, it would return 000,
  // and thus, 4 satisfies are expression.
  // In turn, if the expression is `return (5 & 4 === 0)`, it would be false
  // since it returns 101 & 100 = 100 (NOT === 0)
 
  return number & (number – 1) === 0;
}
 
// For zero-case:
function isPowerOfTwoZeroCase(number) {
  return (number !== 0) && ((number & (number – 1)) === 0);
}

 

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评论

澳门葡京 1

27# Leetcode 50. Pow(x, n)

function insertData(parameters){
var name = parameters.name;
var lastName = parameters.lastName;
var phone = parameters.phone;
var address = parameters.address;
}

28# Leetcode 29. Divide Two Integers

当你要采取默认值的时候,它也是可怜灵光的。例如:

29# Leetcode 222. Count Complete Tree Nodes

复制代码 代码如下:

30# Leetcode 209. Minimum Size Subarray Sum

function insertData(parameters){
var name = parameters.name;
var lastName = parameters.lastName;
var phone = parameters.phone;
var address = parameters.address;
var status = parameters.status || ‘single’ //If status is not defined as
a property
//in the object the variable status take single as value
}

31# Leetcode 392. Is Subsequence

先天,要运用这一个函数卓殊的简便;我们可以用两种办法来发送数据:

32# Leetcode 4. Median of Two Sorted Arrays

There are two sorted arrays nums1 and nums2 of size m and n
respectively.

Find the median of the two sorted arrays. The overall run time
complexity should be O(log (m+n)).

Example 1:
nums1 = [1, 3], nums2 = [2]
The median is 2.0

Example 2:
nums1 = [1, 2], nums2 = [3, 4]
The median is (2 + 3)/2 = 2.5

复制代码 代码如下:

33# Leetcode 363. Max Sum of Rectangle No Larger Than K

//Example 1
insertData({name:’Mike’, lastName:’Rogers’,
phone:’555-555-5555′,address:’the address’, status:’married’});

34# Leetcode 354. Russian Doll Envelopes

//Example 2
var myData = { name:’Mike’,
lastName:’Rogers’,
phone:’555-555-5555′,
address:’the address’,
status:’married’
};
insertData(myData);

35# Leetcode 410. Split Array Largest Sum

Given an array which consists of non-negative integers and an integer
m, you can split the array into m non-empty continuous subarrays.
Write an algorithm to minimize the largest sum among these m
subarrays.

Note:
If n is the length of array, assume the following constraints are
satisfied:

1 ≤ n ≤ 1000

1 ≤ m ≤ min(50, n)
Examples:

Input:
nums = [7,2,5,10,8]
m = 2
Output:
18

Explanation:
There are four ways to split nums into two subarrays.
The best way is to split it into [7,2,5] and [10,8],
where the largest sum among the two subarrays is only 18.

8,函数就是多少
函数就是像strings或numbers这样的数量,我们可以把它们当成函数参数来传递它们,这足以创制丰富令人咋舌而又“威风凛凛”的Web应用程序。这些艺术是至极有效的,几乎所有的主流框架都施用了那么些方法。例如:

36# Leetcode 302.Smallest Rectangle Enclosing Black Pixels

复制代码 代码如下:

37# Leetcode 174. Dungeon Game

The demons had captured the princess (P) and imprisoned her in the
bottom-right corner of a dungeon. The dungeon consists of M x N rooms
laid out in a 2D grid. Our valiant knight (K) was initially positioned
in the top-left room and must fight his way through the dungeon to
rescue the princess.

The knight has an initial health point represented by a positive
integer. If at any point his health point drops to 0 or below, he dies
immediately.

Some of the rooms are guarded by demons, so the knight loses health
(negative integers) upon entering these rooms; other rooms are either
empty (0’s) or contain magic orbs that increase the knight’s health
(positive integers).

In order to reach the princess as quickly as possible, the knight
decides to move only rightward or downward in each step.

Write a function to determine the knight’s minimum initial health so
that he is able to rescue the princess.

For example, given the dungeon below, the initial health of the knight
must be at least 7 if he follows the optimal path RIGHT-> RIGHT
-> DOWN -> DOWN.

-2(K) -3 3
-5 -10 1
10 30 -5(P)

Notes:

The knight’s health has no upper bound.
Any room can contain threats or power-ups, even the first room the
knight enters and the bottom-right room where the princess is
imprisoned.

function byId(element, event, f){
Document.getElementById(element).[‘on’+event] = f; //f is the function
that we pass as parameter
}
byId(‘myBtn’,’click’,function(){alert(‘Hello World’)});
Another example of functions as data:
//Example 1
function msg(m){
Alert(m);
}
//Example 2
var msg = function(m){ alert(m);}
那么些函数几乎是完全相同的。唯一的分别是运用它们的措施。例如:第一个函数,在您表明它原先,你就可以使用它了;可是第二个函数只有评释将来才能应用:
//Example 1
msg(‘Hello world’); //This will work
function msg(m){
alert(m);
}
//Example 2
msg(‘Hello world’); //Does not work because JavaScript cannot find the
function msg because is used before is been declared.
var msg = function(m){ alert(m)}

38# Leetcode 483. Smallest Good Base

9,扩张本地对象
即使有的JavaScript的特首不引进那一个技能,可是它早已被一些框架使用了。它能够让您针对JavaScript
API来创建一些援助性的艺术。

39# LintCode: Last Position of Target

Find the last position of a target number in a sorted array. Return -1
if target does not exist.
Example
Given [1, 2, 2, 4, 5, 5].
For target = 2, return 2.
For target = 5, return 5.
For target = 6, return -1.

public int lastPosition(int[] nums, int target) {
    // Write your code here
    if (nums.length == 0 || nums == null) {
        return -1;
    }
    int start = 0;
    int end = nums.length - 1;
    while (start + 1 < end) {
        int mid = start + (end - start) / 2;
        if (nums[mid]==target) {
            start = mid;
        } else if (nums[mid] < target) {
            start = mid;
        } else {
            end = mid;
        }
    }
    if (nums[end] == target) {
        return end;
    }
    if (nums[start] == target) {
        return start;
    }
    return -1;
}

复制代码 代码如下:

40# LintCode: Maximum Number in Mountain Sequence

Given a mountain sequence of n integers which increase firstly and then
decrease, find the mountain top.

Example
Given nums = [1, 2, 4, 8, 6, 3] return 8
Given nums = [10, 9, 8, 7], return 10

public int mountainSequence(int[] nums) {
    if (nums.length == 0 || nums == null) {
        return -1;
    }
    int start = 0;
    int end = nums.length - 1;
    while (start + 1 < end) {
        int mid = start + (end - start) / 2;
        if (nums[mid] > nums[mid + 1]) {
            end = mid;
        } else {
            start = mid;
        }
    }
    return Math.max(nums[start], nums[end]);
}

//We create the method prototype for our arrays
//It only sums numeric elements
Array.prototype.sum = function(){
var len = this.length;
total = 0;
for(var i=0;i<len ;i++){
if(typeof this[i]!= ‘number’) continue;
total += this[i];
}
return total;
}
var myArray = [1,2,3,’hola’];
myArray.sum();

Array.prototype.max = function(){
return Math.max.apply(”,this);
}

10,Boolean
专注它们中间的分别,因为这会省去你调试脚本的时日。

复制代码 代码如下:

” == ‘0’ // false
0 == ” // true
0 == ‘0’ // true
false == ‘false’ // false
false == ‘0’ // true
false == undefined // false
false == null // false
null == undefined // true
true == 1 // true
” == null // false
false == ” // true

一旦您在其余地点看过这一个本子,那么那一个技巧可以帮忙您融会贯通。这些技术依旧还不及JavaScript所有功效的冰山一角,不过那是一个发轫!请不要客气,留下你的评价,问题,额外的技艺或疑虑吧,不过请记住,这是一篇针对初学者的篇章!!我愿意能接收部分开发者同行的来信!Enjoy!

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