Don’t miss outtag icon
Are you tracking AI visibility, or guessing? Get clarity with Similarweb’s AEO ToolkitTry it nowbanner icon

Matrix Solver Step by Step analisi dell'app per 11 gennaio

Matrix Solver Step by Step

Matrix Solver Step by Step

  • Yuri Morozov
  • App Store di Apple
  • Gratis
  • Istruzione
“Matrix Solver Step by Step” Linear Algebra learning tool and a Matrix Calculator: * Performs most commonly used matrix calculations and decompositions (see list below). * Demonstrates and explains algorithm steps for almost all the functions. * Draws interactive geometric references when appropriate. * Provides tutorials (explanations and proofs) for most Linear Algebra concepts. The tutorial topics have links to all other relevant topics, making them understandable for users with minimal prior knowledge of Linear Algebra. Every effort is being made to ensure user friendly interface and factual accuracy. The app is, so far, free of charge and free of ads. It is being continuously updated with new functions, graphs, and proofs. Suggestions and corrections are welcome! Write to us at graphmath@aol.com. List of functions (matrix size up to 8x8): 1. Solution for linear systems, real and complex. 2. Geometric solutions for 3 equation linear systems. 3. Matrix multiplication. 4. Matrix inverse, real and complex. 5. Determinant (row reduction, recursive and permutations methods). 6. Eigenvectors and eigenvalues, both real and complex. 7. Diagonalization. 8. Rotation-scaling similarity transformation. 9. Block-diagonalization transformation. 10. PLU factorization for square matrices. 11. LD(L transposed) factorization for symmetric matrices. 12. Column-Row factorization. 13. QR factorization by 3 existing methods: Gram-Schmidt, Givens rotations and Householder reflections. 14. Singular Value Decomposition (SVD), including using of SVD for Image compression. 15. Polar factorization. 16. Interactive graphs for transformation by 2x2 and 3x3 matrices, with derivation of specific matrix types, such as rotation or reflection. 17. Raising a Matrix to power n, where n is any integer between -10 and 10. 18. Matrix exponentials, x = exp(A*t) * x0. 19. Markov chain calculator. 20. Calculation of Correlation matrices and Principal Component Analysis (PCA). UI features: Most recent matrix entry for particular operation and size is saved between program runs. Input or output matrices can be saved to clipboard and pasted into other input screens in the app, text files and spreadsheets. Matrix and Linear Equations entries can be saved into table and are available after application is closed and re opened. Matrix entries can be filled with random numbers, different options for range are provided. Solutions as fractions are available for many functions. Eigenvalues and eigenvectors are shown as fractions and radicals for 2x2 matrices. Tutorial items can be saved into "My Tutorial Chapters" list. Comments can be added to most tutorial chapters and saved into "My Comments" list.
Matrix Solver Step by Step

Classifica degli store

La classifica del store si basa su diversi parametri stabiliti da Google e Apple.

Tutte le categorie in
Stati Uniti--
Istruzione in
Stati Uniti--
Crea un account per visualizzare il numero mensile medio di downloadContattaci

Matrix Solver Step by StepStatistiche di ranking nel tempo

Classifica di Utilizzo di Similarweb e Classifica App Store di Apple per Matrix Solver Step by Step

Rank

Nessun dato disponibile

Matrix Solver Step by Step Classifica per paese

Paesi in cui Matrix Solver Step by Step ha la posizione più alta nelle sue categorie principali

Nessun dato da visualizzare

Principali concorrenti e app alternative

App con un'alta probabilità di essere utilizzate dagli stessi utenti, provenienti dallo stesso store.

Linear Algebra - Matrix Solver

Linear Algebra - Matrix Solver

ALG Software Lab SIA

Matrix Calculator Solver

Matrix Calculator Solver

talha rehman

Equation-Solver

Equation-Solver

Om Prakash Chapagain

Matrix-Analysis

Matrix-Analysis

Om Prakash Chapagain

Matrix Solver Step by Step VS.

gennaio 11, 2026