husainhakim / Java

# Java Dynamic Programming Repository Welcome to the Java Dynamic Programming Repository! This repository contains Java programs demonstrating various dynamic programming techniques. These programs cover a range of problems and illustrate how dynamic programming optimizes solutions by storing and reusing previously computed results.

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Java Dynamic Programming Repository

Welcome to the Java Dynamic Programming Repository! This repository contains a collection of Java programs demonstrating various dynamic programming techniques. These programs cover a range of problems and illustrate how dynamic programming can be used to optimize solutions by storing and reusing previously computed results.

Table of Contents

Dynamic programming

Dynamic programming is a powerful technique for solving complex problems by breaking them down into simpler subproblems and storing the solutions to these subproblems to avoid redundant computations. This repository aims to provide clear and well-documented examples of dynamic programming solutions implemented in Java.

Download and Open in Visual Studio Code

  1. Clone this repository to your local machine using the following command:

    git clone https://github.com/your-username/java-dynamic-programming.git
  2. Navigate to the cloned directory:

    cd java-dynamic-programming
  3. Open the directory in Visual Studio Code:

    code .

    If you don't have VS Code installed, you can download it from the official website.

Usage

Each program is contained within its own directory. To run a specific program, navigate to the corresponding directory and compile the Java file using the following command:

javac ProgramName.java

Contact

If you have any questions, suggestions, or just want to connect, feel free to reach out:


Thank you for visiting my LeetCode Sync repository. Happy coding!

About

# Java Dynamic Programming Repository Welcome to the Java Dynamic Programming Repository! This repository contains Java programs demonstrating various dynamic programming techniques. These programs cover a range of problems and illustrate how dynamic programming optimizes solutions by storing and reusing previously computed results.


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