Python solutions of problems from various competitive programming platforms.
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Aug 9, 2022 - Python
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Python solutions of problems from various competitive programming platforms.
mysql count sql leetcode sum cycle competitive-programming python3 mysql-database leetcode-solutions kattis leetcode-python algorithms-and-data-structures kattis-solutions maximum-subarray sort-array cycle-finding-algorithm
Step is a C++17, header-only library of STL-like algorithms and data structures
graphviz edit-distance kahan-summation longest-common-subsequence suffix-tree longest-increasing-subsequence suffix-array longest-common-substring maximum-subarray
My solution of divide and conquer method problems in hackerrank. This includes quick short, merge short, MaximmumSubArrayBruit, and a few more.
This repository contain all the codes thoroughly implemented by me in 30-Day LeetCoding Challenge.
leetcode 30-days-of-code happy-number maximum-subarray best-time-to-buy-and-sell-stock single-number 30-day-leetcoding-challenge leetcode-30days-challenge move-zeros group-anagrams backspace-string-compare middle-of-the-linked-list diameter-of-binary-tree last-stone-weight counting-elements contiguous-array perform-string-shifts product-of-array-ecxept-self valid-parenthesis-string may-leetcoding-challenge
Maximum subarray problem. Brute Force, Divide and Conquer, Kadane's Algorithm
brute-force time-complexity divide-and-conquer maximum-subarray largest-sum-contiguous-subarray kadanes-algorithm
Solutions to mostly used and asked questions in Tech Interviews. Java.
java algorithms quicksort technical-coding-interview heapsort merge-sort counting-sort maximum-subarray matrix-rotation minimum-swaps randomised-quicksort hoarse-partition tail-recursive-quicksort
All solutions to the problems in "Dynamic Programming I", the LeetCode dynamic programming study plan - I.
algorithms leetcode edit-distance stock-market binary-search-tree leetcode-solutions dynamic-programming longest-common-subsequence pascals-triangle coin-change leetcode-java leetcode-cpp longest-increasing-subsequence maximum-subarray longest-palindromic-substring longest-palindromic-subsequence coin-change-2 ultimate-dp-study ultimate-dp-i house-robber
Most common algorithms for Programmers
convex-hull dynamic-programming binary-heap rmq radix-sort graham-scan-algorithm 3sum maximum-subarray
This project designed to analyze historical OHLC (Open-High-Low-Close) data of financial markets and predict potential breakout patterns. It utilizes the Maximum Subarray algorithm with Depth-First Search (DFS) to identify periods of significant price movement.
Controlled empirical study of the maximum subarray problem, from O(n³) to O(n), in 1D and 2D. Five 1D and five 2D algorithms in C++, 740,091 correctness checks, bootstrap-timed benchmarks. Preprint code and data.
benchmarking algorithms cpp reproducible-research time-complexity dynamic-programming algorithm-analysis complexity-analysis divide-and-conquer maximum-subarray empirical-analysis kadane-algorithm
Solution to CLRS problems
Find the sub-array that has the greatest value when all of its elements are summed together.
Largest Sum Contiguous Subarray Problem
Divide and conquer solution to the "Maximum Product Subarray" problem on LeetCode.
Maximum subarray and subsequence using dynamic programming, divide and conquer and Kadane's algorithm.
cpp hackerrank dynamic-programming hackerrank-solutions maximum-subarray kadanes-algorithm maximum-subsequence max-subsequence
Implemented algorithms from CLRS "Introduction to algorithms" book (the development is in process, so not all the algorithms are implemented, yet)
algorithms insertion-sort clrs introduction-to-algorithms cormen-algorithms merge-sort maximum-subarray
A simple program that implements four algorithms to compute the Maximum Subarray Problem
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