My first deep-dive into linear algebra and numerical analysis. An article describing how to write a C library that performs most of the "academical" algorithms for matrices (Row Echelon, Reduced Row Echelon, LU(P) Factorization, Inverse, Determinants, etc.)

This page summarizes the projects mentioned and recommended in the original post on /r/math

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  • andreinc-site

    My personal blog

  • The article sources are here: https://github.com/nomemory/andreinc-site/blob/main/_posts/2021-01-20-writing-your-own-linear-algebra-matrix-library-in-c.md

  • neat-matrix-library

    nml is a "simple" matrix/numerical analysis library written in pure C. The scope of the library is to highlight various algorithm implementations related to matrices. Code readability was a major concern.

  • And the resulting code corresponding to the article can be found here: https://github.com/nomemory/neat-matrix-library

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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