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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.
Updated
Mar 27, 2024
JavaScript
All solutions to the problems in "Dynamic Programming I", the LeetCode dynamic programming study plan - I.
Solutions to the problems in "Dynamic Programming I", part of the Dynamic Programming Study Plan on LeetCode.
Python solutions of problems from various competitive programming platforms.
Updated
Aug 9, 2022
Python
Divide and conquer solution to the "Maximum Product Subarray" problem on LeetCode.
Updated
Jun 22, 2022
Java
Updated
Jun 18, 2022
Java
Maximum subarray and subsequence using dynamic programming, divide and conquer and Kadane's algorithm.
Find the sub-array that has the greatest value when all of its elements are summed together.
This repository contain all the codes thoroughly implemented by me in 30-Day LeetCoding Challenge.
My solution of divide and conquer method problems in hackerrank. This includes quick short, merge short, MaximmumSubArrayBruit, and a few more.
Step is a C++17, header-only library of STL-like algorithms and data structures
Largest Sum Contiguous Subarray Problem
Most common algorithms for Programmers
A simple program that implements four algorithms to compute the Maximum Subarray Problem
Implemented algorithms from CLRS "Introduction to algorithms" book (the development is in process, so not all the algorithms are implemented, yet)
Solutions to mostly used and asked questions in Tech Interviews. Java.
Updated
Dec 28, 2018
Java
Solution to CLRS problems
Updated
May 19, 2018
Java
Maximum subarray problem. Brute Force, Divide and Conquer, Kadane's Algorithm
Updated
May 15, 2018
Java
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