Solution: Find the Most Competitive Subsequence

Leetcode Solutions (161 Part Series)

1 Solution: Next Permutation
2 Solution: Trim a Binary Search Tree
… 157 more parts…
3 Leetcode Solutions Index
4 Solution: Minimize Deviation in Array
5 Solution: Vertical Order Traversal of a Binary Tree
6 Solution: Count Ways to Make Array With Product
7 Solution: Smallest String With A Given Numeric Value
8 Solution: Linked List Cycle
9 Solution: Path With Minimum Effort
10 Solution: Concatenation of Consecutive Binary Numbers
11 Solution: Minimum Operations to Make a Subsequence
12 Solution: Longest Harmonious Subsequence
13 Solution: Simplify Path
14 Solution: Building Boxes
15 Solution: Decode XORed Permutation
16 Solution: Binary Tree Right Side View
17 Solution: Find Kth Largest XOR Coordinate Value
18 Solution: Change Minimum Characters to Satisfy One of Three Conditions
19 Solution: Shortest Distance to a Character
20 Solution: Peeking Iterator
21 Solution: Convert BST to Greater Tree
22 Solution: Copy List with Random Pointer
23 Solution: Valid Anagram
24 Solution: Number of Steps to Reduce a Number to Zero
25 Solution: Shortest Path in Binary Matrix
26 Solution: Is Graph Bipartite?
27 Solution: Maximum Score From Removing Substrings (ver. 1)
28 Solution: Maximum Score From Removing Substrings (ver. 2)
29 Solution: Sort the Matrix Diagonally
30 Solution: The K Weakest Rows in a Matrix (ver. 1)
31 Solution: The K Weakest Rows in a Matrix (ver. 2)
32 Solution: Letter Case Permutation
33 Solution: Container With Most Water
34 Solution: Arithmetic Slices
35 Solution: Minimum Remove to Make Valid Parentheses
36 Solution: Roman to Integer
37 Solution: Broken Calculator
38 Solution: Find the Most Competitive Subsequence
39 Solution: Longest Word in Dictionary through Deleting
40 Solution: Search a 2D Matrix II
41 Solution: Score of Parentheses
42 Solution: Shortest Unsorted Continuous Subarray
43 Solution: Validate Stack Sequences
44 Solution: Divide Two Integers (ver. 1)
45 Solution: Divide Two Integers (ver. 2)
46 Solution: Maximum Frequency Stack
47 Solution: Distribute Candies
48 Solution: Set Mismatch (ver. 1)
49 Solution: Set Mismatch (ver. 2)
50 Solution: Missing Number
51 Solution: Intersection of Two Linked Lists
52 Solution: Average of Levels in Binary Tree
53 Solution: Short Encoding of Words (ver. 1)
54 Solution: Design HashMap (ver. 1)
55 Solution: Short Encoding of Words (ver. 2)
56 Solution: Design HashMap (ver. 2)
57 Solution: Remove Palindromic Subsequences
58 Solution: Add One Row to Tree
59 Solution: Integer to Roman
60 Solution: Coin Change
61 Solution: Check If a String Contains All Binary Codes of Size K
62 Solution: Binary Trees With Factors
63 Solution: Swapping Nodes in a Linked List
64 Solution: Encode and Decode TinyURL
65 Solution: Best Time to Buy and Sell Stock with Transaction Fee
66 Solution: Generate Random Point in a Circle
67 Solution: Wiggle Subsequence
68 Solution: Keys and Rooms
69 Solution: Design Underground System
70 Solution: Reordered Power of 2
71 Solution: Vowel Spellchecker
72 Solution: 3Sum With Multiplicity
73 Solution: Advantage Shuffle
74 Solution: Pacific Atlantic Water Flow
75 Solution: Word Subsets
76 Solution: Palindromic Substrings
77 Solution: Reconstruct Original Digits from English
78 Solution: Flip Binary Tree To Match Preorder Traversal
79 Solution: Russian Doll Envelopes
80 Solution: Stamping The Sequence
81 Solution: Palindrome Linked List
82 Solution: Ones and Zeroes
83 Solution: Longest Valid Parentheses
84 Solution: Design Circular Queue
85 Solution: Global and Local Inversions
86 Solution: Minimum Operations to Make Array Equal
87 Solution: Determine if String Halves Are Alike
88 Solution: Letter Combinations of a Phone Number
89 Solution: Verifying an Alien Dictionary
90 Solution: Longest Increasing Path in a Matrix
91 Solution: Deepest Leaves Sum
92 Solution: Beautiful Arrangement II
93 Solution: Flatten Nested List Iterator
94 Solution: Partition List
95 Solution: Fibonacci Number
96 Solution: Remove All Adjacent Duplicates in String II
97 Solution: Number of Submatrices That Sum to Target
98 Solution: Remove Nth Node From End of List
99 Solution: Combination Sum IV
100 Solution: N-ary Tree Preorder Traversal
101 Solution: Triangle
102 Solution: Brick Wall
103 Solution: Count Binary Substrings
104 Solution: Critical Connections in a Network
105 Solution: Rotate Image
106 Solution: Furthest Building You Can Reach
107 Solution: Power of Three
108 Solution: Unique Paths II
109 Solution: Find First and Last Position of Element in Sorted Array
110 Solution: Powerful Integers
111 Solution: Prefix and Suffix Search
112 Solution: Course Schedule III
113 Solution: Running Sum of 1d Array
114 Solution: Non-decreasing Array
115 Solution: Jump Game II
116 Solution: Convert Sorted List to Binary Search Tree
117 Solution: Delete Operation for Two Strings
118 Solution: Super Palindromes
119 Solution: Construct Target Array With Multiple Sums
120 Solution: Count Primes
121 Solution: Maximum Points You Can Obtain from Cards
122 Solution: Range Sum Query 2D – Immutable
123 Solution: Ambiguous Coordinates
124 Solution: Flatten Binary Tree to Linked List
125 Solution: Valid Number
126 Solution: Binary Tree Cameras
127 Solution: Longest String Chain
128 Solution: Find Duplicate File in System
129 Solution: Minimum Moves to Equal Array Elements II
130 Solution: Binary Tree Level Order Traversal
131 Solution: Find and Replace Pattern
132 Solution: N-Queens
133 Solution: To Lower Case
134 Solution: Evaluate Reverse Polish Notation
135 Solution: Partitioning Into Minimum Number Of Deci-Binary Numbers
136 Solution: Maximum Product of Word Lengths
137 Solution: Maximum Erasure Value
138 Solution: N-Queens II
139 Solution: Maximum Gap
140 Solution: Search Suggestions System
141 Solution: Max Area of Island
142 Solution: Interleaving String
143 Solution: Maximum Area of a Piece of Cake After Horizontal and Vertical Cuts
144 Solution: Open the Lock
145 Solution: Maximum Performance of a Team
146 Solution: Longest Consecutive Sequence
147 Solution: Min Cost Climbing Stairs
148 Solution: Construct Binary Tree from Preorder and Inorder Traversal
149 Solution: Jump Game VI
150 Solution: My Calendar I
151 Solution: Stone Game VII
152 Solution: Minimum Number of Refueling Stops
153 Solution: Palindrome Pairs
154 Solution: Maximum Units on a Truck
155 Solution: Matchsticks to Square
156 Solution: Generate Parentheses
157 Solution: Number of Subarrays with Bounded Maximum
158 Solution: Swim in Rising Water
159 Solution: Pascal’s Triangle
160 Solution: Out of Boundary Paths
161 Solution: Redundant Connection

This is part of a series of Leetcode solution explanations (index). If you liked this solution or found it useful, please like this post and/or upvote my solution post on Leetcode’s forums.

Leetcode Problem #1673 (Medium): Find the Most Competitive Subsequence

Description:

(Jump to: Solution Idea || Code: JavaScript | Python | Java | C++)

Given an integer array nums and a positive integer k, return the most competitive subsequence of nums of size k.

An array’s subsequence is a resulting sequence obtained by erasing some (possibly zero) elements from the array.

We define that a subsequence a is more competitive than a subsequence b (of the same length) if in the first position where a and b differ, subsequence a has a number less than the corresponding number in b. For example, [1,3,4] is more competitive than [1,3,5] because the first position they differ is at the final number, and 4 is less than 5.

Examples:

Example 1:

Input: nums = [3,5,2,6], k = 2

Output: [2,6]

Explanation: Among the set of every possible subsequence: {[3,5], [3,2], [3,6], [5,2], [5,6], [2,6]}, [2,6] is the most competitive.

Example 2:

Input: nums = [2,4,3,3,5,4,9,6], k = 4

Output: [2,3,3,4]

Example 1:
Input:	nums = [3,5,2,6], k = 2
Output:	[2,6]
Explanation:	Among the set of every possible subsequence: {[3,5], [3,2], [3,6], [5,2], [5,6], [2,6]}, [2,6] is the most competitive.

Example 2:
Input:	nums = [2,4,3,3,5,4,9,6], k = 4
Output:	[2,3,3,4]

Constraints:

1 <= nums.length <= 10^5

0 <= nums[i] <= 10^9

1 <= k <= nums.length

Idea:

(Jump to: Problem Description || Code: JavaScript | Python | Java | C++)

The problem’s definition for “competitiveness” sounds just like a standard sort order, and just like a standard sort order, it can be improved by removing any larger number that comes before a lower number. Also, the further left in the input you make this removal, the larger its impact.

The trick here is to perform this operation as many times as you can while still making sure you have at least K elements left.

The standard solution here will resemble a stack, as we’ll iterate through our input (N) and push values to the answer stack. If the next value (N[i]) is lower than the top value of the stack, then we’ll pop numbers off the stack until it’s not. By doing this, our stack will always be sorted in ascending order.

If at any point the number of elements you can safely remove (moves) is reduced to 0, then we combine our stack with the remaining elements of N and return. If we reach the end of N and our stack is longer than K, just return the first K elements.

But as is often the case when we’re doing a one-time pass through an array and selectively removing elements, we can increase our efficiency by doing an in-place stack using a 2-pointer system by using the early positions of N as our answer stack.

Implementation:

Python, unlike the other three languages, actually prefers the normal stack solution rather than an in-place version.

C++ can drastically improve the speed up its solution of this particular problem via use of a custom lambda function designed to speed up I/O.

Javascript Code:

(Jump to: Problem Description || Solution Idea)

var mostCompetitive = function(N, K) {
    let len = N.length, moves = len - K
    for (let i = 0, j = 1; j < len;) {
        while (N[j] < N[i] && moves) i--, moves--
        if (!moves) return N.slice(0,i+1).concat(N.slice(j))
        N[++i] = N[j++]
    }
    return N.slice(0,K)
};

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Python Code:

(Jump to: Problem Description || Solution Idea)

class Solution:
    def mostCompetitive(self, N: List[int], K: int) -> List[int]:
        i, moves = 0, len(N) - K
        ans = []
        for x in N:
            while ans and moves and x < ans[-1]:
                ans.pop()
                moves -= 1
            ans.append(x)
        return ans[:K]

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Java Code:

(Jump to: Problem Description || Solution Idea)

class Solution {
    public int[] mostCompetitive(int[] N, int K) {
        int len = N.length;
        int moves = len - K;
        for (int i = 0, j = 1; j < len;) {
            while (moves > 0 && i >= 0 && N[j] < N[i]) {
                i--;
                moves--;
            }
            N[++i] = N[j++];
        }
        return Arrays.copyOfRange(N,0,K);
    }
}

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C++ Code:

(Jump to: Problem Description || Solution Idea)

class Solution {
public:
    vector<int> mostCompetitive(vector<int>& N, int K) {
        int len = N.size();
        int moves = len - K;
        for (int i = 0, j = 1; j < len;) {
            while (moves && i >= 0 && N[j] < N[i])
                i--, moves--;
            N[++i] = N[j++];
        }
        return vector<int>(N.begin(), N.begin() + K);
    }
};

static int fastIO = [] {
    ios_base::sync_with_stdio(false);
    cin.tie(0);
    cout.tie(0);
    return 0;
}();

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Leetcode Solutions (161 Part Series)

原文链接：Solution: Find the Most Competitive Subsequence

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