Efficient Subarray Range Sum Calculation Using Monotonic Stacks

The objective is to evaluate the following double summation for a sequence $A$ of length $N$: $$ \sum_{L=0}^{N-1} \sum_{R=L}^{N-1} \left( \max_{k \in [L, R]} A[k] - \min_{k \in [L, R]} A[k] \right) $$ A brute-force enumeration of all contiguous segments results in quadratic or cubic complexity, which is insufficient for large inputs. Two linear ...

Posted on Sun, 09 Aug 2026 16:35:03 +0000 by jhlove

Advanced Algorithmic Strategies: Subtree DP Reconstruction and Prime-Power Modular Counting

Subtree Budget Allocation and Optimal Path Reconstruction The core challenge revolves around allocating a fixed budget across a binary tree structure to maximize a specific threshold value. The solution begins by analyzing the root's contribution and propagating constraints downward. We define a dynamic programming state dp_max[u][b] representi ...

Posted on Fri, 07 Aug 2026 16:35:09 +0000 by arun4444

Codeforces VP Contest Solutions

A. Omkar and Password Given a sequence of integres, we can merge adjacent disitnct elements into their sum. The goal is to minimize the final sequence length. If all elements are equal, no merges are possible and the result is the original length. Otherwise, we can always reduce the sequence to a single element by repeatedly merging with the ma ...

Posted on Fri, 07 Aug 2026 16:26:07 +0000 by Iceman512

Minimizing Inversion Pairs in Array Partitioning

Problem Description Given a permutation of length n and an integer k, partition the array in to k contiguous segments such that the sum of inversion counts within each segment is minimized. Constraints: n ≤ 25000, k ≤ 25 Solution Approach This problem can be solved using dynamic programming with decision monotonicity and divide-and-conquer opti ...

Posted on Thu, 06 Aug 2026 16:57:59 +0000 by IWS

Tree Problem Summary

Introduction During the summer vacation, I systematically studied various operations on trees through Teacher Tuo's sharing and discovered many useful techniques, which I now summarize. Teacher Tuo is amazing! One Problem Type: Batch processing queries of the form f(dep(lca(x,y))), where f(x) is a function of x. Approach: First perform tree ...

Posted on Sat, 01 Aug 2026 16:21:20 +0000 by D_tunisia

C++ Algorithm Solutions for Competitive Programming Challenges

1. Gymnastic Team Formation Given the small input constraints, a brute-force approach with backtracking and pruning is suitable. The solution uses depth-first search (DFS) to explore valid permutations while eliminating invalid paths early. #include <iostream> using namespace std; int constraints[11] = {0}; bool used[11] = {false}; int v ...

Posted on Fri, 31 Jul 2026 16:00:17 +0000 by rlalande

SGU 132 - Another Chocolate Maniac

Given an $n \times m$ grid where each cell is either empty (.) or blocked (*), place the minimum number of $1 \times 2$ or $2 \times 1$ dominoes such that no two adjacent empty cells remain — i.e., it's impossible to place any additional domino. Constraints: $1 \leq n \leq 70$, $1 \leq m \leq 7$. Due to the small value of $m$, a dynamic program ...

Posted on Tue, 28 Jul 2026 16:01:51 +0000 by ultrus

Dynamic Programming and Game Theory Problems with Optimization Techniques

Problem 1: Optimized Dynamic Programming with Prefix Sums This problem involves a basic dynamic programming approach where we process from the end to the beginning. The naive solution has a time complexity of O(n²), but we can optimize it using prefix sums and binary search. We maintain a prefix sum array and for each position, use binary searc ...

Posted on Fri, 24 Jul 2026 16:47:03 +0000 by lorri

Dynamic Programming Solutions for Competitive Programming Problems

Potion-making Solution This problem requires solving the equation i/(i+j) = k/100 to find the minimal total ingredients. The solution involves iterating through possiblle values of i and j. #include <iostream> #include <cmath> using namespace std; void solvePotion() { int target_percentage; cin >> target_percentage; ...

Posted on Mon, 20 Jul 2026 17:27:42 +0000 by pod2oo5

Longest Increasing Subsequence Algorithms

Longest Increasing Subsequence (LIS) The Longest Increasing Subsequence problem involves findinng the maximum length of a strictly increasing subsequence from a given sequence of length n. The subsequence elements need not be contiguous in the original sequence. Dynamic Programming Approach (O(n²)) State Representation DP array: Stores the len ...

Posted on Sat, 18 Jul 2026 16:18:30 +0000 by Rebel7284