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  1. MATLAB - MathWorks

    MATLAB is a computing platform that is used for engineering and scientific applications like data analysis, signal and image processing, control systems, wireless communications, and robotics.

  2. matlib package - RDocumentation

    matlib: Matrix Functions for Teaching and Learning Linear Algebra and Multivariate Statistics.

  3. GitHub - friendly/matlib: Matrix Functions for Teaching and Learning ...

    Matrix Functions for Teaching and Learning Linear Algebra and Multivariate Statistics, http://friendly.github.io/matlib/ Version 1.0.1. These functions were originally designed for tutorial …

  4. Getting Started — MatLib 0.9 documentation - Read the Docs

    Material library, as it is called, is the main window where you create, store and import materials to your scene.

  5. Matlib Material Library

    Material Library MATLIB Digital Materials Library LOGIN

  6. matlib · PyPI

    Solves a system of linear equations using the Gaussian Elimination method. The program responds whether the answer to the system exists, does not exist or is an infinite amount of answers.

  7. matlib: Matrix Functions for Teaching and Learning Linear Algebra and Multivariate Statistics. In some cases, functions are provided for concepts available elsewhere in R, but where the function call or …

  8. CRAN: Package matlib

    A collection of matrix functions for teaching and learning matrix linear algebra as used in multivariate statistical methods. Many of these functions are designed for tutorial purposes in learning matrix …

  9. matlib-package: matlib: Matrix Functions for Teaching and Learning ...

    Nov 5, 2025 · matlib: Matrix Functions for Teaching and Learning Linear Algebra and Multivariate Statistics. These functions are designed mainly for tutorial purposes in teaching & learning matrix …

  10. MATLAB Online - MATLAB & Simulink - MathWorks

    MATLAB Online extends the capabilities of MATLAB and Simulink to the cloud. You can connect to cloud storage solutions and collaborate on projects through a web browser without installing software.