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Linear Algebra by Jim Hefferon




Linear Algebra - Table of Contents

1. Linear Systems 2. Vector Spaces 3. Maps Between Spaces 4. Determinants 5. Similarity

What You Will Learn in Linear Algebra

This is an undergraduate level textbook that balances intuitive motivation with full mathematical rigor. It teaches essential topics like solving systems of equations, vector spaces, matrices, determinants, and eigenvalues. The book starts with easy ideas and builds up to full proofs, using lots of examples and exercises to guide students. At the end of each chapter, there are small real-world applications or mini-projects. It includes complete solutions, slides for teachers, a Sage based lab manual, and video lessons to help you learn better. It even won a teaching award in 2020 for being clear, helpful, and widely used.

Book Details & Specifications

Title: Linear Algebra by Jim Hefferon
Publisher: Saint Michael's College
Year: 2017
Pages: 507
Type: PDF
Language: English
ISBN-10 #: 1944325034
ISBN-13 #: 978-1944325039
License: CC
Amazon: Amazon

About the Author: Jim Hefferon

The author Jim Hefferon is a Professor of Mathematics at St. Michael's College in Colchester, Vermont. B.S., M.S., Ph.D. University of Connecticut..

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Mathematics Book Categories

Algebra & Trig. / Precalculus
Basic Algebra
Trigonometry
Calculus
Calculus with Analytical Geometry
Single Variable Calculus
Differential Calculus
Integral Calculus
Multivariable Calculus
Advanced Calculus
Calculus of Variation
Geometry
Elementary Geometry
Analytic Geometry
Differential Geometry
Algebraic Geometry
Non Euclidean Geometry
Computational Geometry
Topology
Discrete Mathematics
Probability & Statistics
Introductory Statistics
Probability & Stochastic
Mathematical Statistics
Statistical Learning
Bayesian Statistics
Applied Statistics
Mathematical Analysis
Real Analysis
Complex Analysis
Fourier Analysis
Functional Analysis
Abstract Algebra
Number Theory
Applied Mathematics
Mathematical Methods
Differential Equations
Computational Mathematics
Numerical Analysis
Mathematical Modeling
Mathematical Physics
Engineering Mathematics
History of Mathematics

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