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A First Course in Linear Algebra by Ken Kuttler




A First Course in Linear Algebra - Table of Contents

1. Systems of Equations 2. Matrices 3. Determinants 4. Rn 5. Linear Transformations 6. Complex Numbers 7. Spectral Theory 8. Some Curvilinear Coordinate Systems 9. Vector Spaces A. Some Prerequisite Topics B. Selected Exercise Answers

What You Will Learn in A First Course in Linear Algebra

This is a well-written textbook designed for beginners that helps students learn the basics of linear algebra. The text is designed as a first course in linear algebra for students who have a reasonable understanding of basic algebra. Major topics of linear algebra are presented in detail, with proofs of important theorems provided. This text intends to transform students from passive observers of mathematics to participants in it. It covers all the essential topics like matrices, systems of equations, vector spaces, and eigenvalues, with a good mix of theory and practical examples. It also has many examples and exercises to help students practice. This book is useful for anyone studying math, science, engineering, or computers. The book explains important ideas like solving equations, matrices, vectors, and eigenvalues. It helps students learn both the theory and how to use it.

Book Details & Specifications

Title: A First Course in Linear Algebra by Ken Kuttler
Publisher: Lyryx
Year: 2017
Pages: 608
Type: PDF
Language: English
ISBN-10 #: 1542895529
ISBN-13 #: 978-1542895521
License: CC BY 4.0
Amazon: Amazon

About the Author: Ken Kuttler

The author Ken Kuttler is a professor in the Mathematics department at Brigham Young University. He is well knwon for his work in Linear Algebra.

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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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