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This project provides a `Matrix` data structure for efficient storage and computation of numeric values in JavaScript. It offers an interface for accessing and modifying matrix elements, with support for various data types and common matrix operations. The library is designed for use in linear algebra, numerical analysis, image manipulation, machine learning, and data processing applications.

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compute-io/dtype
Determines the underlying data type of an input value.
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compute-io/indexspace
Generates a linearly spaced index array from a subsequence string.
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dstructs/cast-arrays
Casts an array to an array of a different data type.
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kgryte/utils-copy
Copy or deep clone a value to an arbitrary depth.
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validate-io/array
Validates if a value is an array.
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Validates if an array contains an input value.
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Validates if a value is a function.
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Validates if a value is a number primitive and an integer.
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Validates if a value is NaN.
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Validates if a value is a nonnegative integer.
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Validates if a value is a nonnegative integer array.
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Validates if a value is a number primitive, excluding NaN.
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Validates if a value is a string primitive.
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chaijs/chai
BDD/TDD assertion library for node.js and the browser. Test framework agnostic.
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codecov/codecov-node
Uploading report to Codecov: https://codecov.io
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gotwarlost/istanbul
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jshint/jshint
Static analysis tool for JavaScript
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mochajs/mocha
simple, flexible, fun test framework
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twada/type-name
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dstructs

dstructs/matrix

Matrices.

JavaScript
18
0
MIT License