This repo contains the solution to assignment on Coursera described below.
Matrix inversion is usually a costly computation and there may be some benefit to caching the inverse of a matrix rather than computing it repeatedly (there are also alternatives to matrix inversion that we will not discuss here). Your assignment is to write a pair of functions that cache the inverse of a matrix.
Write the following functions:
makeCacheMatrix
: This function creates a special "matrix" object that can cache its inverse.cacheSolve
: This function computes the inverse of the special "matrix" returned bymakeCacheMatrix
above. If the inverse has already been calculated (and the matrix has not changed), thencacheSolve
should retrieve the inverse from the cache.
Computing the inverse of a square matrix can be done with the solve
function in R. For example, if X
is a square invertible matrix, then
solve(X)
returns its inverse.
For this assignment, assume that the matrix supplied is always invertible.
In order to complete this assignment, you must do the following:
- Fork the GitHub repository containing the stub R files at https://github.com/rdpeng/ProgrammingAssignment2 to create a copy under your own account.
- Clone your forked GitHub repository to your computer so that you can edit the files locally on your own machine.
- Edit the R file contained in the git repository and place your solution in that file (please do not rename the file).
- Commit your completed R file into YOUR git repository and push your git branch to the GitHub repository under your account.
- Submit to Coursera the URL to your GitHub repository that contains the completed R code for the assignment.
- R
- R
- R Studio
To install, clone the GitHub repo:
git clone https://github.com/vignesh-pagadala/cache-matrix.git
Open the required project directory through R Studio and run the code.
See the open issues for a list of proposed features (and known issues).
- Top Feature Requests (Add your votes using the 👍 reaction)
- Top Bugs (Add your votes using the 👍 reaction)
- Newest Bugs
Reach out to the maintainer at one of the following places:
- GitHub issues
- The email which is located in GitHub profile
If you want to say thank you or/and support active development of Cache Matrix:
- Add a GitHub Star to the project.
- Tweet about the Cache Matrix on your Twitter.
- Write interesting articles about the project on Dev.to, Medium or personal blog.
Together, we can make Cache Matrix better!
First off, thanks for taking the time to contribute! Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make will benefit everybody else and are greatly appreciated.
We have set up a separate document containing our contribution guidelines.
Thank you for being involved!
The original setup of this repository is by Vignesh Pagadala.
For a full list of all authors and contributors, check the contributor's page.
Cache Matrix follows good practices of security, but 100% security can't be granted in software. Cache Matrix is provided "as is" without any warranty. Use at your own risk.
For more info, please refer to the security.
This project is licensed under the MIT license.
See LICENSE for more information.