Home  /  Education Apps  / Matrix Calculator
Matrix Calculator Application icon

Matrix Calculator 1.1

2.1 MB / 10+ Downloads / Rating 5.0 - 1 reviews


See previous versions

Matrix Calculator, developed and published by Manas Sharma, has released its latest version, 1.1, on 2017-07-22. This app falls under the Education category on the Google Play Store and has achieved over 1000 installs. It currently holds an overall rating of 5.0, based on 1 reviews.

Matrix Calculator APK available on this page is compatible with all Android devices that meet the required specifications (Android 4.0+). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

Read More

App Screenshot

App Screenshot

App Details

Package name: com.bragitoff.matrixcalculator

Updated: 8 years ago

Developer Name: Manas Sharma

Category: Education

Installation Instructions

This article outlines two straightforward methods for installing Matrix Calculator on PC Windows and Mac.

Using BlueStacks

  1. Download the APK/XAPK file from this page.
  2. Install BlueStacks by visiting http://bluestacks.com.
  3. Open the APK/XAPK file by double-clicking it. This action will launch BlueStacks and begin the application's installation. If the APK file does not automatically open with BlueStacks, right-click on it and select 'Open with...', then navigate to BlueStacks. Alternatively, you can drag-and-drop the APK file onto the BlueStacks home screen.
  4. Wait a few seconds for the installation to complete. Once done, the installed app will appear on the BlueStacks home screen. Click its icon to start using the application.

Using LDPlayer

  1. Download and install LDPlayer from https://www.ldplayer.net.
  2. Drag the APK/XAPK file directly into LDPlayer.

If you have any questions, please don't hesitate to contact us.

Reviews

5 ★, on 2018-08-30
It calculates in fractions of seconds

Previous Versions

Matrix Calculator 1.1
2017-07-22 / 2.1 MB / Android 4.0+

About this app

Matrix Operations:
->Addition/Subtraction of Matrices
-> Multiplication of Matrices
-> (P)LU Decomposition
-> Rank
-> Row Echelon Form
-> Trace
-> Determinant
-> Transpose

Matrix Operations:

->Addition/Subtraction:

As the name suggests, this tool let’s the user add and subtract matrices. User needs to give the size(dimension/order) of the matrices first, then enter the elements of the matrices in the fields provided.
User can choose to click on ‘Add’ or ‘Subtract’ to perform the respective operation.

->Multiplication:

As the name suggests, this tool let’s the user multiply matrices. User needs to give the size(dimension/order) of the matrices first, then enter the elements of the matrices in the fields provided.
User can choose to click on ‘Multiply’ to perform the respective operation.

->Rank:

This tool let’s the user find out the rank of any given matrix. Rank of a matrix is equal to the number of linearly independent rows in a matrix. This feature has been implemented using the Gaussian Elimination technique with Partial Pivoting. I have tried to write the algorithm in a way that guarantees numerical stability.
This tool can also be used to find out if a given set of vectors is Linearly Independent or not.
Rank is equal to the number of vectors, if all the vectors are linearly independent.

->Row Echelon Form:

This tool gives the Row Echelon form of any given matrix. This has been implemented using Gaussian Elimination with Partial Pivoting.

->Transpose:
This tools evaluates the transpose of a given matrix.

->Trace:

This tools evaluates the trace of a given matrix. Trace is the sum of the diagonal elements of a matrix. Therefore, the matrix needs to be square.

->Determinant:
This tool calculates the determinant of a square matrix. This has been implemented using Gaussian Elimination with Partial Pivoting.

->LU Decomposition:
This tool gives the PLU factorization of a given matrix.
Although, generally, LU decomposition(factorization) is discussed for square matrices, I noticed that many popular applications like MATLAB, SCILAB, MAPLE, etc. have extended the definition to rectangular matrices.
Therefore, I have also provided the support for rectangular matrices. Although the result may be different than MATLAB or other applications. But the factorization is correct as multiplying PLU gives back the original matrix.