Numerical Methods Calculators

Manas Sharma
Aug 1, 2017
  • 6.3 MB

    Rozmiar Pliku

  • Android 4.0+

    Android OS

O Numerical Methods Calculators

Służy jako towarzysza do tekstu-książek na Numerical Analysis.

It is extremely useful for the students taking a course on Numerical Analysis, as it will help them to compare and analyse the data given in their text-books.

It will also serve as an helping hand for classroom lectures, as students and instructors can verify their results right away, without needing to write their own algorithms, or buying expensive softwares like MATLAB.

I have taken utmost care to make sure that the algorithms used are stable, and consistent. A lot of equations and data was used to test the app and the results were compared with all the leading softwares available. The results were in very satisfactory.

However, I still encourage users to report any bug or strange crash.

Numerical Methods Calculators- contains the following tools and calculators:

Matrix Operations:

->Addition/Subtraction of Matrices

-> Multiplication of Matrices

-> (P)LU Decomposition

-> Rank

-> Row Echelon Form

-> Trace

-> Determinant

-> Transpose

Numerical Integration:

-> Trapezoidal Method

-> Simpson’s 1/3 Rule

-> Simpson’s 3/8 Rule

Curve Fitting(using least squares)

-> Linear Fitting

-> Exponential Fitting

-> Polynomial Fitting

Root Finding:

-> Bisection Method

-> Secant Method

-> Newton-Raphson Method

Upcoming features:

I will keep on adding new tools and calculators regularly. So users can expect it to be a vary powerful tool in some time.

Here is the list of features that I am working on:

Linear System Solver

Polynomial Root Finder(All the roots)

QR Factorization

Cholesky Decomposition

Eigenvalue and Eigenvector

Gauss Seidel Method

Forward and Backward Difference Tables

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What's new in the latest 1.2

Last updated on 2017-08-02
Added the following tools to Matrix Operations:
1. Inverse Calculator
2. Matrix Power
3. Dominant(Largest) Real Eigenvalue and Eigenvector Calculator using Power Method

**Fixed a few bugs in the Curve Fitting Module***
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