Fading Coder

One Final Commit for the Last Sprint

Efficient Problem Solutions for Programming Contests

Contest Preparation Algorithm This solution handles two special cases before applying the general formulla: #include <iostream> using namespace std; int main() { int n, m; cin >> n >> m; if (n == 0) { cout << 0 << endl; } else if (n <= m) { cout << 2 << e...

Dynamic Programming Patterns: Linear DP, Knapsack Variants and Optimization Techniques

Longest Monotonic Subsequence via Greedy Array Core Concept The "pseudo-monotonic stack" approach for finding longest monotonic subsequences uses a dynamic array that maintains potential candidates for optimal sequence construction. This method efficiently builds the solution in O(n log n)...

Algorithmic Solutions for the YsOI2023 Contest

Task 1: Bitwise Manipulation Strategy The objective involves transforming an integer based on specific bitwise properties. The core logic requires isolating the odd component of the input value by shifting out trailing zeros. Once the odd base is identified, it is shifted left by a count derived fro...

Solving Inversion Counting, Permutation Optimization, and Other Competitive Programming Challenges

Interval Inversion Count Given an array of length n with elements bounded by a small constant (≤ 50), we need to answer m queries of the form: count the number of inversions inside subarray [l, r]. A naive O(n2) per query is too slow, and a Mo’s algorithm solution, while feasible for moderate constr...

Implementing Sliding Window Algorithms for String Manipulation

Sliding Window Algorithm Paterns Core Implementation Template const slidingWindowSolution = (inputString) => { // Initialize tracking variables let [primaryVar, secondaryVar] = [initialValue1, initialValue2]; // Set window boundaries let windowStart = 0; const results = []; for (let windowEnd = 0...

Maximizing Stock Trading Profits Through Incremental Gains

Given an integer array prices where prices[i] represents the stock price on day i, determine the maximum profit achievable. You may engage in multiple transactions (buy one and/or sell one share of the stock each day) but can hold at most one share at any time. Buying and selling on the same day is...

Bomb Chain Reaction Optimization with Monotonic Stack and SCC

Problem Analysis Given a set of bombs positioned on a number line with coordinates and explosion radii, we need to compute the total effect of chain reactions. Each bomb can detonate others within its range, and the propagation continues through connected bombs. Initial Graph Construction We first m...

Dynamically Invoking Interface Methods Using Java Reflection

Reflection enables runtime examination and dynamic invocation of class members. This technique can be applied to invoke methods defined by an interface through a concrete implementation class. Core Implementation Steps The process involves several distinct stages. Step Action 1 Define the interface....

Efficient Prefix Sum Maintenance and Modular Subset Selection Techniques

Optimizing Prefix Sum Calculations When determining the height configuration of vertical light beams (forming a non-increasing sequence), the state of horizontal beams can be uniquely determined. By incrementally adding horizontal light beams, the dynamic programming recurrence takes the form of a p...

Dynamic Programming: Tree Traversals, Stock Trading, and Subsequence Problems

1. House Robber III (Binary Tree) Given a binary tree representing houses where each node has a value. Adjacent houses (parent and child) cannot both be robbed on the same night. Determine the maximum amount that can be robbed without triggering an alarm. State Definition: For each node, we track tw...