Linear Algebra Volume 1: Logic, Number Theory, Matrix Algebra, and Applications in Data Science and Optimization (Bachelor’s Degree in Physics)
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Linear Algebra Volume 1: Logic, Number Theory, Matrix Algebra, and Applications in Data Science and Optimization (Bachelor’s Degree in Physics)

by Helbert Justo Luque Zevallos

Data Science Linear Algebra number theory Optimization Mathematical Physics
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Designed for bachelor’s degree students in physics, this volume introduces linear algebra alongside logic, number theory, and matrix algebra. It also connects these mathematical subjects with applications in data science and optimization, offering a focused academic resource for studying foundational concepts and their broader uses.

About This Book

This volume presents linear algebra in the context of undergraduate study.

Its stated topics include logic, number theory, and matrix algebra.

The book also addresses applications connected with data science and optimization.

It is intended for students pursuing a bachelor’s degree in physics.

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