Optimum chain matrix product using dynamic programming.

My Data-Structures and Algorithms codes for CSE 203 Course.

Matrix chain multiplication (or Matrix Chain Ordering Problem, MCOP) is an optimization problem that can be solved using dynamic programming. Given a sequence of matrices, the goal is to find the most efficient way to multiply these matrices. The problem is not actually to perform the multiplications, but merely to decide the sequence of the mat…

Code samples that demonstrate the algorithms learnt during the course. Used as a preparation (not only ;)) for the exam.

C Program

This repository is all about various concepts related Dynamic Programming.It also contains solutions to problems from various online judges, organized by topic.

Dynamic Programming Practical Implementations.

Important Algorithms for coding interviews 📚

📈 Welcome to the Design and Analysis of Algorithms Repository! 📚✨ Immerse yourself in a meticulously curated knowledge pool on algorithmic design and analysis. 🌐💡 Explore the intricacies of crafting efficient algorithms and navigating problem-solving strategies. 🚀🔍 Master the art of algorithmic exploration in this dynamic space! 👨‍💻🧮

Assignments from Algorithms Course like - All pairs shortest path, Common Substrings, Huffman Coding, K-nary Heaps, KMP, Line Sweep, Matrix Chain Multiplication, Maximum Flow, Quick Sort, Strongly Connected Components

An OOP project which can simulate six different types of dynamic programming based problems

Java Solutions to some common DP problems

Implementations of most algorithms learnt in the course UE18CS311

Determining the optimum number of operations of a product of matrices using dynamic programming.

In this repository i am going to keep some of the important notes and programs which are most useful while Coding.

Contains the code of different DP problems. ie. 0/1 knapsack, unbounded-knapsack, Fibonacci, and different variations of similar problems.

Parallel Programming exercise

My DP Concepts

This repo consists codes of Aditya Verma - Dynamic Programming Playlist

Data structure and algorithms are two of the most important aspects of computer science. Data structures allow us to organize and store data, while algorithms allow us to process that data in a meaningful way.