99 Best Linear Algebra Books of All Time

We've ranked the best linear algebra books using expert recommendations, sales data, and millions of reader ratings. At Shortform, we know books. Our book guides are the best in the world. Learn why.

The Structure of Scientific Revolutions book cover1

The Structure of Scientific Revolutions

Thomas S. Kuhn

5.0
A good book may have the power to change the way we see the world, but a great book actually becomes part of our daily consciousness, pervading our thinking to the point that we take it for granted, and we forget how provocative and challenging its ideas once were—and still are. The Structure of Scientific Revolutions is that kind of book. When it was first published in 1962, it was a landmark eve
2

Introduction to Linear Algebra

Gilbert Strang

4.8
Linear algebra is something all mathematics undergraduates and many other students, in subjects ranging from engineering to economics, have to learn. The fifth edition of this hugely successful textbook retains all the qualities of earlier editions while at the same time seeing numerous minor improvements and major additions. The latter include: - A new chapter on singular values and singular vect
Linear Algebra Done Right book cover3

Linear Algebra Done Right

Sheldon Axler

4.7
This text for a second course in linear algebra is aimed at math majors and graduate students. The novel approach taken here banishes determinants to the end of the book and focuses on the central goal of linear algebra: understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents - w
No bullshit guide to linear algebra book cover4

No bullshit guide to linear algebra

Ivan Savov

4.7
Linear algebra is the foundation of science and engineering. Knowledge of linear algebra is a prerequisite for studying statistics, machine learning, computer graphics, signal processing, chemistry, economics, and quantum mechanics. Indeed, linear algebra offers a powerful toolbox for modelling the real world.

The NO BULLSHIT guide to LINEAR ALGEBRA shows the connections between the computational t
Schaum's Outline of Linear Algebra book cover5

Schaum's Outline of Linear Algebra

Seymour Lipschutz and Marc Lipson

4.7
Tough Test Questions? Missed Lectures? Not Enough Time? Textbook too pricey?

Fortunately, there's Schaum's. This all-in-one-package includes more than 600 fully-solved problems, examples, and practice exercises to sharpen your problem-solving skills. Plus, you will have access to 25 detailed videos featuring math instructors who explain how to solve the most commonly tested problems--it's just like
Quantum Mechanics: The Theoretical Minimum book cover6

Quantum Mechanics: The Theoretical Minimum

Leonard Susskind

4.7
From the bestselling author of The Theoretical Minimum, a DIY introduction to the math and science of quantum mechanics.

First he taught you classical mechanics. Now, physicist Leonard Susskind has teamed up with data engineer Art Friedman to present the theory and associated mathematics of the strange world of quantum mechanics.

In this follow-up to the New York Times best-selling The Theoretical M
Linear Algebra book cover7

Linear Algebra

Georgi E. Shilov

4.7
In this volume in his exceptional series of translations of Russian mathematical texts, Richard Silverman has taken Shilov's course in linear algebra and has made it even more accessible and more useful for English language readers.
Georgi E. Shilov, Professor of Mathematics at the Moscow State University, covers determinants, linear spaces, systems of linear equations, linear functions of a vector
Linear Algebra: Step by Step book cover8

Linear Algebra: Step by Step

Kuldeep Singh

4.6
Linear algebra is a fundamental area of mathematics, and is arguably the most powerful mathematical tool ever developed. It is a core topic of study within fields as diverse as: business, economics, engineering, physics, computer science, ecology, sociology, demography and genetics. For an example of linear algebra at work, one needs to look no further than the Google search engine, which relies u
Linear Algebra and Its Applications book cover9

Linear Algebra and Its Applications

David C. Lay

4.6
Linear algebra is relatively easy for students during the early stages of the course, when the material is presented in a familiar, concrete setting. But when abstract concepts are introduced, students often hit a brick wall. Instructors seem to agree that certain concepts (such as linear independence, spanning, subspace, vector space, and linear transformations), are not easily understood, and re
Graph Paper Notebook: Grid Paper Notebook, Grid Paper for Math and Science Students, Quad Ruled 5x5 ( 110 Pages, 8.5 x 11) book cover10

Graph Paper Notebook: Grid Paper Notebook, Grid Paper for Math and Science Students, Quad Ruled 5x5 ( 110 Pages, 8.5 x 11)

Ken Malone

4.6

Check my author profile, there you will find more information about my notebooks.Elegant and practical notebook with checkered paper, in blue colorThis notebook is a great choice if you are looking for a sturdy checkered notebook for math, note writing, sketching, writing ideas or keeping a personal journal.Perfect for all office, school and home applications.Elegant and timeless design makes the

Linear Algebra Done Right (Undergraduate Texts in Mathematics) book cover11

Linear Algebra Done Right (Undergraduate Texts in Mathematics)

Sheldon Axler

4.5

Now available in Open Access, this best-selling textbook for a second course in linear algebra is aimed at undergraduate math majors and graduate students. The fourth edition gives an expanded treatment of the singular value decomposition and its consequences. It includes a new chapter on multilinear algebra, treating bilinear forms, quadratic forms, tensor products, and an approach to determinant

Linear Algebra Problem Book book cover12

Linear Algebra Problem Book

Paul R. Halmos

4.5
Can one learn linear algebra solely by solving problems? Paul Halmos thinks so, and you will too once you read this book. The Linear Algebra Problem Book is an ideal text for a course in linear algebra. It takes the student step by step from the basic axioms of a field through the notion of vector spaces, on to advanced concepts such as inner product spaces and normality. All of this occurs by way
13

Linear Algebra

Kenneth Hoffman

4.5
This introduction to linear algebra features intuitive introductions and examples to motivate important ideas and to illustrate the use of results of theorems.
The Manga Guide to Linear Algebra book cover14

The Manga Guide to Linear Algebra

Shin Takahashi, Iroha Inoue, et al.

4.5
Reiji wants two things in life: a black belt in karate and Misa, the girl of his dreams. Luckily, Misa's big brother is the captain of the university karate club and is ready to strike a deal: Reiji can join the club if he tutors Misa in linear algebra.

Follow along in The Manga Guide to Linear Algebra as Reiji takes Misa from the absolute basics of this tricky subject through mind-bending operatio
Calculus, Volume 1: One-Variable Calculus with an Introduction to Linear Algebra book cover15

Calculus, Volume 1: One-Variable Calculus with an Introduction to Linear Algebra

Tom M. Apostol

4.5
An introduction to the Calculus, with an excellent balance between theory and technique. Integration is treated before differentiation--this is a departure from most modern texts, but it is historically correct, and it is the best way to establish the true connection between the integral and the derivative. Proofs of all the important theorems are given, generally preceded by geometric or intuitiv
16

Finite-Dimensional Vector Spaces

Paul R. Halmos

4.5
Master expositor Paul Halmos presents Linear Algebra in the pure axiomatic spirit. He writes "My purpose in this book is to treat linear transformations on finite dimensional vector spaces by the methods of more general theories. The idea is to emphasize the simple geometric notions common to many parts of mathematics and its applications, and to do so in a language that gives away the trade secre
The Linear Algebra a Beginning Graduate Student Ought to Know book cover17

The Linear Algebra a Beginning Graduate Student Ought to Know

Jonathan S. Golan

4.5
Linear algebra is a living, active branch of mathematics which is central to almost all other areas of mathematics, both pure and applied, as well as to computer science, to the physical, biological, and social sciences, and to engineering. It encompasses an extensive corpus of theoretical results as well as a large and rapidly-growing body of computational techniques. Unfortunately, in the past d
The Cartoon Guide to Algebra book cover18

The Cartoon Guide to Algebra

Larry Gonick

4.5
In this latest edition of the successful Cartoon Guide series, master cartoonist and former Harvard instructor Larry Gonick offers a complete and up-to-date illustrated course to help students understand and learn this core mathematical course taught in American schools.

Using engaging graphics and lively humor, Gonick covers all of the algebra essentials, including linear equations, polynomials, q
Machine Learning: A Probabilistic Perspective book cover19

Machine Learning: A Probabilistic Perspective

Kevin P. Murphy

4.5
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.

Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehen
20

Numerical Linear Algebra

Lloyd N. Trefethen and David Bau III

4.5
This is a concise, insightful introduction to the field of numerical linear algebra. The clarity and eloquence of the presentation make it popular with teachers and students alike. The text aims to expand the reader's view of the field and to present standard material in a novel way. All of the most important topics in the field are covered with a fresh perspective, including iterative methods for
Linear Algebra: QuickStudy Laminated Reference Guide (Quick Study Academic) book cover21

Linear Algebra: QuickStudy Laminated Reference Guide (Quick Study Academic)

S B Kizlik

4.5

A complete quick reference guide for all aspects of Linear Algebra.

22

Algebra - Part 2 (Quick Study) (Quickstudy: Academic)

S. B. Kizlik

4.5
Algebra 2 is the advanced QuickStudy guide specially designed for students who are already familiar with Algebra 1.

6-page laminated guide includes:

- real number lines

- graphing & lines

- types of functions

- sequences & series

- conic sections

- problems & solutions

- and much more
23

Summit Math Algebra 1 Book 6: Systems of Linear Equations and Inequalities

Alex Joujan

4.4
Special Relativity and Classical Field Theory: The Theoretical Minimum book cover24

Special Relativity and Classical Field Theory: The Theoretical Minimum

Leonard Susskind

4.4
A funny, insightful, and self-contained guide to Einstein's relativity theory and classical field theories--including electromagnetism

Physicist Leonard Susskind and data engineer Art Friedman are back. This time, they introduce readers to Einstein's special relativity and Maxwell's classical field theory. Using their typical brand of real math, enlightening drawings, and humor, Susskind and Friedm
Coding the Matrix: Linear Algebra Through Computer Science Applications book cover25

Coding the Matrix: Linear Algebra Through Computer Science Applications

Philip N. Klein

4.4
An engaging introduction to vectors and matrices and the algorithms that operate on them, intended for the student who knows how to program. Mathematical concepts and computational problems are motivated by applications in computer science. The reader learns by "doing," writing programs to implement the mathematical concepts and using them to carry out tasks and explore the applications. Examples
26

University Math and Statistics: Quick Web Links to FREE 260+ Textbooks, 800+ Lecture notes, 1000+ Worked examples, past exams papers with solutions, Dictionaries,Software and tools, and Many more...

Dr. Web Links

4.4
Essential Math for Data Science book cover27

Essential Math for Data Science

Thomas Nield

4.4
28

3,000 Solved Problems in Linear Algebra

Seymour Lipschutz

4.4
Master linear algebra with Schaum's--the high-performance solved-problem guide.

It will help you cut study time, hone problem-solving skills, and achieve your personal best on exams!

Students love Schaum's Solved Problem Guides because they produce results. Each year, thousands of students improve their test scores and final grades with these indispensable guides. Get the edge on your classmates. Us
29

Advanced Linear Algebra

Steven Roman

4.4
This graduate level textbook covers an especially broad range of topics. The book first offers a careful discussion of the basics of linear algebra. It then proceeds to a discussion of modules, emphasizing a comparison with vector spaces, and presents a thorough discussion of inner product spaces, eigenvalues, eigenvectors, and finite dimensional spectral theory, culminating in the finite dimensio
Linear Algebra: Theory, Intuition, Code book cover30

Linear Algebra: Theory, Intuition, Code

Mike X Cohen

4.4
No-Nonsense Algebra: Part of the Mastering Essential Math Skills Series book cover31

No-Nonsense Algebra: Part of the Mastering Essential Math Skills Series

Richard W. Fisher

4.4
CHECK OUT THE NEW, IMPROVED SECOND EDITION OF THIS BOOK. COMPLETELY EDITED WITH EXTRA QUIZZES FOR EACH CHAPTER.

No More Tears Algebra... Written by an author who believes that all students can succeed in Algebra. This includes those who have struggled with math in the past. A video tutorial for each lesson taught by the author is included. Super Algebra Book + Video Tutorials = Super Success in Al
Math Practice Workbook: ALGEBRA 1: 2000+ Questions You Need to Kill in High School by Brain Hunter Prep (Algebra 1 Workbooks Series) book cover32

Math Practice Workbook: ALGEBRA 1: 2000+ Questions You Need to Kill in High School by Brain Hunter Prep (Algebra 1 Workbooks Series)

Brain Hunter Prep

4.4
33

Linear Algebra

Sterling K. Berberian

4.4
A thorough first course in linear algebra, this two-part treatment begins with the basic theory of vector spaces and linear maps, including dimension, determinants, eigenvalues, and eigenvectors. The second section addresses more advanced topics such as the study of canonical forms for matrices.
The treatment can be tailored to satisfy the requirements of both introductory and advanced courses. In
34

Tensors: Geometry and Applications

J. M. Landsberg

4.4
Matrices and Linear Algebra book cover35

Matrices and Linear Algebra

Hans Schneider and George Phillip Barker

4.4
Linear algebra is one of the central disciplines in mathematics. A student of pure mathematics must know linear algebra if he is to continue with modern algebra or functional analysis. Much of the mathematics now taught to engineers and physicists requires it.
This well-known and highly regarded text makes the subject accessible to undergraduates with little mathematical experience. Written mainly
Matrix Computations book cover36

Matrix Computations

Gene H. Golub

4.4
This revised edition provides the mathematical background and algorithmic skills required for the production of numerical software. It includes rewritten and clarified proofs and derivations, as well as new topics such as Arnoldi iteration, and domain decomposition methods.
37

Matrix Analysis and Applied Linear Algebra Book and Solutions Manual

Carl D. Meyer

4.4
Linear Algebra, Signal Processing, and Wavelets - A Unified Approach: Python Version (Springer Undergraduate Texts in Mathematics and Technology) book cover38

Linear Algebra, Signal Processing, and Wavelets - A Unified Approach: Python Version (Springer Undergraduate Texts in Mathematics and Technology)

Øyvind Ryan

4.4
Linear and Geometric Algebra book cover39

Linear and Geometric Algebra

Alan Macdonald

4.4
This textbook for the first undergraduate linear algebra course presents a unified treatment of linear algebra and geometric algebra, while covering most of the usual linear algebra topics. Geometric algebra is an extension of linear algebra. It enhances the treatment of many linear algebra topics. And geometric algebra does much more. Geometric algebra and its extension to geometric calculus unif
Algebra Essentials Practice Workbook with Answers: Linear & Quadratic Equations, Cross Multiplying, and Systems of Equations (Improve Your Math Fluency Series) book cover40

Algebra Essentials Practice Workbook with Answers: Linear & Quadratic Equations, Cross Multiplying, and Systems of Equations (Improve Your Math Fluency Series)

Chris McMullen

4.4
This "Algebra Essentials Practice Workbook with Answers" provides ample practice for developing fluency in very fundamental algebra skills - in particular, how to solve standard equations for one or more unknowns. These algebra 1 practice exercises are relevant for students of all levels - from grade 7 thru college algebra. This workbook is conveniently divided up into seven chapters so that stude
Linear Algebra For Dummies book cover41

Linear Algebra For Dummies

Mary Jane Sterling

4.3
Your hands-on guide to real-world applications of linear algebra

Does linear algebra leave you feeling lost? No worries --this easy-to-follow guide explains the how and the why of solving linear algebra problems in plain English. From matrices to vector spaces to linear transformations, you'll understand the key concepts and see how they relate to everything from genetics to nutrition to spotted ow
42

Problems and Theorems in Linear Algebra

V. V. Prasolov

4.3
There are a number of very good books available on linear algebra. From this one might deduce that the existing books contain all that one needs to know in the best possible form and that any new book would just repeat material in the old ones. However, new results in linear algebra appear constantly, as do new, simpler, and better proofs of old results. Many linear algebra results obtained in the
43

Topoi: The Categorial Analysis of Logic

Robert Goldblatt

4.3
A classic introduction to mathematical logic from the perspective of category theory, this text is suitable for advanced undergraduates and graduate students and accessible to both philosophically and mathematically oriented readers. Its approach moves always from the particular to the general, following through the steps of the abstraction process until the abstract concept emerges naturally.
Begi
Matrix Analysis book cover44

Matrix Analysis

Roger A Horn

4.3
Linear algebra and matrix theory are fundamental tools in mathematical and physical science, as well as fertile fields for research. This new edition of the acclaimed text presents results of both classic and recent matrix analysis using canonical forms as a unifying theme, and demonstrates their importance in a variety of applications. The authors have thoroughly revised, updated, and expanded on
Linear Algebra for Data Science, Machine Learning, and Signal Processing book cover45

Linear Algebra for Data Science, Machine Learning, and Signal Processing

Jeffrey A. Fessler, Raj Rao Nadakuditi

4.3

Maximise student engagement and understanding of matrix methods in data-driven applications with this modern teaching package. Students are introduced to matrices in two preliminary chapters, before progressing to advanced topics such as the nuclear norm, proximal operators and convex optimization. Highlighted applications include low-rank approximation, matrix completion, subspace learning, logis

Categories for the Working Mathematician book cover46

Categories for the Working Mathematician

Saunders Mac Lane

4.3
Categories for the Working Mathematician provides an array of general ideas useful in a wide variety of fields. Starting from the foundations, this book illuminates the concepts of category, functor, natural transformation, and duality. The book then turns to adjoint functors, which provide a description of universal constructions, an analysis of the representations of functors by sets of morphism
The Dark Art of Linear Algebra: An Intuitive Geometric Approach book cover47

The Dark Art of Linear Algebra: An Intuitive Geometric Approach

Seth Braver

4.3

Most introductory linear algebra textbooks follow one of two paths into the subject: abstract and arcane (beginning with the vector space axioms), or computational and colorless (beginning with systems of linear equations).The Dark Art of Linear Algebra takes a little-known third path that winds through a fascinating geometric landscape. Guided along it, readers encounter linear algebra's central

Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python book cover48

Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python

Mike X Cohen

4.3
49

Linear Algebra: A Modern Introduction (with CD-ROM)

David Poole

4.3
In this innovative new Linear Algebra text, award-winning educator David Poole covers vectors and vector geometry first to enable students to visualize the mathematics while they are doing matrix operations. Rather than merely doing the calculations with no understanding of the mathematics, students will be able to visualize and understand the meaning of the calculations. By seeing the mathematics
50

The Miracle of Natural Hormones: With Over 40 Actual Case Studies

David Brownstein

4.3
Introduction to Tensor Analysis and the Calculus of Moving Surfaces book cover51

Introduction to Tensor Analysis and the Calculus of Moving Surfaces

Pavel Grinfeld

4.3
This textbook is distinguished from other texts on the subject by the depth of the presentation and the discussion of the calculus of moving surfaces, which is an extension of tensor calculus to deforming manifolds.



Designed for advanced undergraduate and graduate students, this text invites its audience to take a fresh look at previously learned material through the prism of tensor calculus. Once
52

Matrix Algebra: Theory, Computations and Applications in Statistics

James E. E. Gentle

4.3
Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. The first part of this book presents the relevant aspects of the theory of matrix algebra for applications in statistics. This part begins with the fundamental concepts of vectors and vector spaces, next covers the basic algebraic properties of matrices, then describes the analytic proper
53

Linear Algebra

Stephen H. Friedberg, Arnold J. Insel, Lawrence E. Spence

4.3
For courses in Advanced Linear Algebra. This top-selling, theorem-proof text presents a careful treatment of the principal topics of linear algebra, and illustrates the power of the subject through a variety of applications. It emphasizes the symbiotic relationship between linear transformations and matrices, but states theorems in the more general infinite-dimensional case where appropriate.
54

Numerical Linear Algebra

Holger Wendland

4.3
This self-contained introduction to numerical linear algebra provides a comprehensive, yet concise, overview of the subject. It includes standard material such as direct methods for solving linear systems and least-squares problems, error, stability and conditioning, basic iterative methods and the calculation of eigenvalues. Later chapters cover more advanced material, such as Krylov subspace met
CLEP College Algebra with Online Practice Tests book cover55

CLEP College Algebra with Online Practice Tests

Stu Schwartz

4.3
Earn College Credit with REA's Test Prep for CLEP* College Algebra

Everything you need to pass the exam and get the college credit you deserve.

CLEP* is the most popular credit-by-examination program in the country, accepted by more than 2,900 colleges and universities. For over 15 years, REA has helped students pass the CLEP* exam and earn college credit while reducing their tuition costs.

Our CL
56

Elementary Linear Algebra: Applications Version

Howard Anton

4.3
Elementary Linear Algebra 10th edition gives an elementary treatment of linear algebra that is suitable for a first course for undergraduate students. The aim is to present the fundamentals of linear algebra in the clearest possible way; pedagogy is the main consideration. Calculus is not a prerequisite, but there are clearly labeled exercises and examples (which can be omitted without loss of con
57

Quantum Computing from the Ground Up

Riley Tipton Perry

4.3
Lie Groups, Lie Algebras, and Representations: An Elementary Introduction book cover58

Lie Groups, Lie Algebras, and Representations: An Elementary Introduction

Brian Hall

4.3
This textbook treats Lie groups, Lie algebras and their representations in an elementary but fully rigorous fashion requiring minimal prerequisites. In particular, the theory of matrix Lie groups and their Lie algebras is developed using only linear algebra, and more motivation and intuition for proofs is provided than in most classic texts on the subject.

In addition to its accessible treatment of
MATLAB: A Practical Introduction to Programming and Problem Solving book cover59

MATLAB: A Practical Introduction to Programming and Problem Solving

Stormy Attaway Ph.D. Boston…

4.3
MATLAB: A Practical Introduction to Programming and Problem Solving, Fourth Edition, winner of a 2017 Textbook Excellence Award (Texty), has been updated to reflect the functionality of the current version of MATLAB, including the new H2 Graphics system. It features new and revised end-of-chapter exercises, more engineering applications to help the reader learn this software tool in context, and a
Algebra book cover60

Algebra

Serge Lang

4.3
"Lang's Algebra changed the way graduate algebra is taught, retaining classical topics but introducing language and ways of thinking from category theory and homological algebra. It has affected all subsequent graduate-level algebra books." NOTICES OF THE AMS

"The author has an impressive knack for presenting the important and interesting ideas of algebra in just the right way, and he never gets bo
Successful Coaching book cover61

Successful Coaching

Rainer Martens

4.3
Being a successful coach is not just about Xs and Os and winning games. It's about coaching young people to become successful athletes--and successful human beings. But unless you already have the teaching skills of an educator, the training expertise of a physiologist, the administrative leadership of a business executive, and the counseling wisdom of a psychologist, you will rely on this third e
62

Linear Algebra with Applications (Classic Version)

Otto Bretscher

4.3
This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearsonhighered.com/math-classics... for a complete list of titles.
Offering the most geometric presentation available, Linear Algebra with Applications, Fifth Edition emphasizes linear transformations as a unifying theme. This elegant textbook combines a user-f
63

Algebra Unplugged

Kenn Amdahl

4.3
A lighthearted, sometimes irreverent introduction to the concepts, vocabulary and strategies of first year algebra. Designed for people who learn best by reading, it includes no exercises. Beginning with some pre algebra concepts, like working with fractions, it explains linear equations, quadratic equations and graphing in easy to understand, non frightening language. Ideal for people who think t
64

E-Z Algebra 2

Meg Clemens

4.3
Always study with the most up-to-date prep! Look for Barron's Algebra 2: The Easy Way, ISBN 9781438012148, Second Edition, on sale September 3, 2019.

Publisher's Note: Products purchased from third-party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitles included with the product.
65

Topos Theory (Dover Books on Mathematics)

P.T. Johnstone

4.3
66

HOW TO ADD A KINDLE TO MY AMAZON ACCOUNT: Simple Step By Step Guide On How To Register And Remove Kindle Device (With Screenshots). A 2019 Quick Guide

ALEX HAMPTON

4.3
67

Linear Algebra

Jim Hefferon

4.3
The approach is developmental. Although it covers the requisite material by proving things, it does not assume that students are already able at abstract work. Instead, it proceeds with a great deal of motivation, many computational examples, and exercises that range from routine verifications to (a few) challenges. The goal is, in the context of developing the usual material of an undergraduate l
Somatic Exercises for Nervous System Regulation: 90+ Simple Techniques to Release Trauma, Reduce Tension, and Alleviate Anxiety and Stress in Just 10 Minutes a Day book cover68

Somatic Exercises for Nervous System Regulation: 90+ Simple Techniques to Release Trauma, Reduce Tension, and Alleviate Anxiety and Stress in Just 10 Minutes a Day

Lara Namaskar

4.3

90+ STEP-BY-STEP EXERCISES WITH FULL ILLUSTRATIONSAre you sick and tired of feeling anxious, disconnected, and tense all the time?Do you dread waking up to another day of stiffness and stress, knowing you just don’t have hours to spend on complicated wellness routines?Maybe you've tried yoga, meditation, or other exercises, but you end up more frustrated because they take too long and deliver too

Matrices and Linear Transformations book cover69

Matrices and Linear Transformations

Charles G. Cullen

4.3

Undergraduate-level introduction to linear algebra and matrix theory deals with matrices and linear systems, vector spaces, determinants, linear transformations, similarity, polynomials, and polynomial matrices. Also spectral decomposition, Jordan canonical form, solution of the matrix equation AX=XB, and over 375 problems, many with answers. "Comprehensive." — Electronic Engineer's Design Magazin

Iterative Methods for Sparse Linear Systems book cover70

Iterative Methods for Sparse Linear Systems

Yousef Saad

4.3
This book can be used to teach graduate-level courses on iterative methods for linear systems. Engineers and mathematicians will find its contents easily accessible, and practitioners and educators will value it as a helpful resource. The preface includes syllabi that can be used for either a semester- or quarter-length course in both mathematics and computer science.
71

Linear Algebra and Geometry

Igor R. Shafarevich, Alexey O. Remizov, David P Kramer, Lena Nekludova

4.2
Opening with the theory of linear algebraic equations and basic elements of matrix theory, this book includes topics not usually covered: exterior algebras, non-Euclidean geometry, theory of quadrics and more. Offers examples from various mathematical fields.
Algebra 1 Workbook: The Self-Teaching Guide and Practice Workbook with Exercises and Related Explained Solution. You Will Get and Improve Your Algebra 1 Skills and Knowledge from A to Z book cover72

Algebra 1 Workbook: The Self-Teaching Guide and Practice Workbook with Exercises and Related Explained Solution. You Will Get and Improve Your Algebra 1 Skills and Knowledge from A to Z

Richard Carter

4.2
73

Introduction to Linear Algebra (Undergraduate Texts in Mathematics) 2nd edition

Serge Lang

4.2
This is a short text in linear algebra, intended for a one-term course. In the first chapter, Lang discusses the relation between the geometry and the algebra underlying the subject, and gives concrete examples of the notions which appear later in the book. He then starts with a discussion of linear equations, matrices and Gaussian elimination, and proceeds to discuss vector spaces, linear maps, s
Applications of Lie Groups to Differential Equations book cover74

Applications of Lie Groups to Differential Equations

Peter J. Olver

4.2
Symmetry methods have long been recognized to be of great importance for the study of the differential equations. This book provides a solid introduction to those applications of Lie groups to differential equations which have proved to be useful in practice. The computational methods are presented so that graduate students and researchers can readily learn to use them. Following an exposition of
75

Linear Algebra Through Geometry

Thomas Banchoff, John Wermer

4.2
This book introduces the concepts of linear algebra through the careful study of two and three-dimensional Euclidean geometry. This approach makes it possible to start with vectors, linear transformations, and matrices in the context of familiar plane geometry and to move directly to topics such as dot products, determinants, eigenvalues, and quadratic forms. The later chapters deal with n-dimensi
Functions of Matrices book cover76

Functions of Matrices

Nicholas J. Higham

4.2
A thorough and elegant treatment of the theory of matrix functions and numerical methods for computing them, including an overview of applications, new and unpublished research results, and improved algorithms. Key features include a detailed treatment of the matrix sign function and matrix roots; a development of the theory of conditioning and properties of the Frechet derivative; Schur decomposi
On Quaternions and Octonions book cover77

On Quaternions and Octonions

John Horton Conway

4.2
This book investigates the geometry of quaternion and octonion algebras. Following a comprehensive historical introduction, the book illuminates the special properties of 3- and 4-dimensional Euclidean spaces using quaternions, leading to enumerations of the corresponding finite groups of symmetries. The second half of the book discusses the less familiar octonion algebra, concentrating on its rem
Linear Algebra and Matrix Theory book cover78

Linear Algebra and Matrix Theory

E. D. Nering

4.2
This revision of a well-known text includes more sophisticated mathematical material. A new section on applications provides an introduction to the modern treatment of calculus of several variables, and the concept of duality receives expanded coverage. Notations have been changed to correspond to more current usage.
79

Linear Algebra

Serge Lang

4.2
"Linear Algebra" is intended for a one-term course at the junior or senior level. It begins with an exposition of the basic theory of vector spaces and proceeds to explain the fundamental structure theorem for linear maps, including eigenvectors and eigenvalues, quadratic and hermitian forms, diagnolization of symmetric, hermitian, and unitary linear maps and matrices, triangulation, and Jordan ca
80

Introduction to Combinatorial Mathematics (Computer Science Series)

Chung L. Liu

4.2
81

Linear Algebra

Steven A. Leduc

4.2
A comprehensive review guide to help you refresh your study. This guide is particularly useful for midterms and final exams, condensing a semester's worth of information into one concise volume.
Big Math: The Hidden Codes That Run Our World book cover82

Big Math: The Hidden Codes That Run Our World

Steven Strogatz, Alex Townsend

4.2

The epic story of how a handful of surprisingly simple mathematical ideas have sparked today’s technological breakthroughs—from Netflix’s recommendation algorithm to medical imaging to artificial intelligence and beyond—while also slipping further and further from our understanding, with potentially earth-shaking consequences. We live in a world fueled by math that we barely notice. It’s in every

83

Elementary Matrix Theory

Howard Eves

4.2
Concrete treatment of fundamental concepts and operations, equivalence, determinants, matrices with polynomial elements, and similarity and congruence. Each chapter has many excellent problems and optional related information. No previous course in abstract algebra required.
84

Hello Again, Linear Algebra: A Second Look at the Subject through a Collection of Exercises and Solutions

Pavel Grinfeld

4.1
85

A Concrete Approach to Abstract Algebra (Dover Books on Mathematics)

W. W. Sawyer

4.1

Brief, clear, and well written, this introduction to abstract algebra bridges the gap between the solid ground of traditional algebra and the abstract territory of modern algebra. The only prerequisite is high school–level algebra.
Author W. W. Sawyer begins with a very basic viewpoint of abstract algebra, using simple arithmetic and elementary algebra. He then proceeds to arithmetic and polynomial

Differential Equations and Linear Algebra book cover86

Differential Equations and Linear Algebra

Stephen W. Goode

4.1
87

The Four Pillars of Geometry

John Stillwell

4.1
Many people think there is only one "right" way to teach geometry. For two millennia, the "right" way was Euclid's way, and it is still good in many respects. But in the 1950s the cry "Down with triangles!" was heard in France and new geometry books appeared, packed with linear algebra but with no diagrams. Was this the new "right" way, or was the "right" way something else again, perhaps transfor
88

Linear Algebra: Concepts and Methods

Martin Anthony

4.1
Any student studying linear algebra will welcome this textbook, which provides a thorough, yet concise, treatment of key topics in university linear algebra courses. The authors, who have extensive teaching experience, provide hundreds of examples and exercises with a complete list of solutions, to enable students to practise and master the standard methods. Crucially, the authors also give clear
89

Advanced Linear Algebra for Engineers with MATLAB

Sohail A. Dianat

4.1
Arming readers with both theoretical and practical knowledge, Advanced Linear Algebra for Engineers with MATLAB(R) provides real-life problems that readers can use to model and solve engineering and scientific problems in fields ranging from signal processing and communications to electromagnetics and social and health sciences.



Facilitating a unique understanding of rapidly evolving linear algebra
90

Practical Linear Algebra: A Geometry Toolbox, Third Edition

Gerald Farin

4.1
Through many examples and real-world applications, Practical Linear Algebra: A Geometry Toolbox, Third Edition teaches undergraduate-level linear algebra in a comprehensive, geometric, and algorithmic way. Designed for a one-semester linear algebra course at the undergraduate level, the book gives instructors the option of tailoring the course for the primary interests: math, engineering, science,
91

Applied Linear Algebra and Optimization Using MATLAB

Rizwan Butt

4.1
Linear Algebra (Johns Hopkins Studies in the Mathematical Sciences) book cover92

Linear Algebra (Johns Hopkins Studies in the Mathematical Sciences)

Gene H Golub and Charles F Van Loa

4.1
93

Linear Algebra with Applications

Gareth Williams

4.1
Designed for an introductory course in linear algebra, this text combines theory, computational techniques, and applications. Topics covered include Gauss-Jordan elimination, matrix operations, vectors, dot product, linear transformation, matrix transformations, vector spaces, linear independence, b
Coordinate Plane Graph Paper with XY Axis and with Axis Labels / Scale Numbers: 14 x 18 Squares - 4 graphs per Page | 4x4 Quad Ruled | 4 Quadrant Grid ... with Table of Contents | 8.5 x 11 Inches book cover94

Coordinate Plane Graph Paper with XY Axis and with Axis Labels / Scale Numbers: 14 x 18 Squares - 4 graphs per Page | 4x4 Quad Ruled | 4 Quadrant Grid ... with Table of Contents | 8.5 x 11 Inches

Dominic Zëuëz

4.1

Plot, calculate, and reference easily — an 8.5×11 coordinate plane notebook featuring numbered X & Y axes, 4 graphs per page, and double-sided printing.Coordinate Plane Graph Paper with XY Axis and With Numbers — 4x4 Quad Ruled, 4 Quadrants per PageSCROLL DOWN for interior preview & details!Designed for precision and convenience, this graph notebook is perfect for math students, teachers, engineer

95

Linear Algebra Problem Solver

Research and Education Association

4.0
The Problem Solvers are an exceptional series of books that are thorough, unusually well-organized, and structured in such a way that they can be used with any text. No other series of study and solution guides has come close to the Problem Solvers in usefulness, quality, and effectiveness. Educators consider the Problem Solvers the most effective series of study aids on the market. Students regar
96

Student Solutions Manual for Linear Algebra with Applications

Otto Bretscher

4.0
This manual contains completely worked-out solutions for all the odd-numbered exercises in the text.
Linear Algebraic Groups (Graduate Texts in Mathematics, 21) book cover97

Linear Algebraic Groups (Graduate Texts in Mathematics, 21)

James E. Humphreys

4.0

James E. Humphreys is presently Professor of Mathematics at the University of Massachusetts at Amherst. Before this, he held the posts of Assistant Professor of Mathematics at the University of Oregon and Associate Professor of Mathematics at New York University. His main research interests include group theory and Lie algebras. He graduated from Oberlin College in 1961. He did graduate work in ph

98

Linear Systems and Operators in Hilbert Space

Paul A. Fuhrmann

4.0
Written by an internationally recognized authority in the field of systems theory, this monograph describes systems theory in the context of infinite dimensional spaces. The book offers engineers a powerful and elegant approach to the study of mathematical system theory using fairly advanced techniques of operator theory in Hilbert spaces, with an emphasis on the theory of invariant subspaces. In
Graph Paper Notebook: Grid Paper Notebook, Quad Ruled 5x5 | For School | Math and Science Composition Notebook for Students | 110 pages | 8.5" x 11" book cover99

Graph Paper Notebook: Grid Paper Notebook, Quad Ruled 5x5 | For School | Math and Science Composition Notebook for Students | 110 pages | 8.5" x 11"

CompositionNb

4.0

Great for math, science, engineering school/college students, home-schooling, or office tasks✏️**********************✏️Description:Dimensions: 8.5" x 11"Interior: Quad Ruled, 5 squares per inch.Pages: 110Cover: High Quality, Soft Matte Paperback CoverBinding: Paperback BindingPrinted on non-perforated white paperA great size to carry in your bagPlease be aware: Due to potential printing variations