Linear Algebra for Computer Scientists

Discover the essential linear algebra books for computer scientists, featuring curated algorithms, data science, and machine learning applications. Perfect for programmers mastering vectors, matrices, and computational math—your ultimate reading list for practical, career-boosting knowledge.

Introduction to Linear Algebra Cover
Book

Introduction to Linear Algebra

 

No summary available.
Linear algebra Cover
Book

Linear algebra

 

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Matrix Analysis Cover
Book

Matrix Analysis

 

No summary available.
Topics in Matrix Analysis Cover
Book

Topics in Matrix Analysis

 

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Matrix computations Cover
Book

Matrix computations

 

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Advanced linear algebra Cover
Book

Advanced linear algebra

 

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Finite-dimensional vector spaces Cover
Book

Finite-dimensional vector spaces

 

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Combinatorial matrix theory Cover
Book

Combinatorial matrix theory

 

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Combinatorial Matrix Classes Cover
Book

Combinatorial Matrix Classes

 

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Extremal Combinatorics Cover
Book

Extremal Combinatorics

 

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Matrices in combinatorics and graph theory Cover
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Matrices in combinatorics and graph theory

 

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Matroid Theory (Oxford Graduate Texts in Mathematics) Cover
Book

Matroid Theory (Oxford Graduate Texts in Mathematics)

 

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Greedoids Cover
Book

Greedoids

 

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Optimization by Vector Space Methods Cover
Book

Optimization by Vector Space Methods

 

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Introduction to Linear Optimization Cover
Book

Introduction to Linear Optimization

 

No summary available.
Random matrices Cover
Book

Random matrices

 

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Book Cover
Book

View Title

 

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