Best Linear Algebra Book for Engineers

Best Linear Algebra Book for Engineers

Linear algebra is a subject that engineers, engineering students, and roboticists need to know in order to be successful in the field. In this post, we will share with you our list of the best linear algebra books for engineers.

If you are just starting out with linear algebra: I would recommend either “Introduction to Linear Algebra” by Gilbert Strang or “Linear Algebra and Its Applications” by David C Lay. Both of these books have clear explanations and exercises without requiring prior knowledge of calculus or abstract algebra.


Best Linear Algebra Book for Engineers

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Introduction to Linear Algebra (Gilbert Strang)
Linear Algebra and Its Applications
Linear Algebra: What you Need to Know
Linear Algebra and Its Applications
Linear Algebra: Theory, Intuition, Code
Linear Algebra and Optimization for Machine Learning



Best Linear Algebra Book for Engineers



Introduction to Linear Algebra (Gilbert Strang)

Gilbert Strang’s Introduction to Linear Algebra (Buy Online) has been used by thousands of people to learn linear algebra, with excellent reviews from instructors and students alike. And it is one of the best linear algebra books for engineers available today.

This book offers a better approach to teaching linear algebra by focusing on applications instead of just formulas and abstractions. And It’s written by Gilbert Strang, one of the world’s leading experts in the linear algebra field with over 50 years of teaching experience as a professor at MIT.

This textbook covers everything from vector algebra and geometry, systems of linear equations, vector spaces and subspaces, orthogonality, determinants, eigenvalues, and eigenvectors.

The later chapters are devoted to singular value decomposition (SVD), linear transformations, complex numbers, and complex matrices.

It also has new sections that cover machine learning and cryptography, which means it’s a good reference if you’re looking to pursue a career in robotics or computer security. And these advanced concepts are accompanied by code examples in MATLAB®, Julia, and Python.

Plus, Gilbert Strang’s course lectures that follow this book are available on MIT’s OpenCourseWare site for free (Click Here)



Linear Algebra and Its Applications

Linear Algebra and Its Applications by Gilbert Strang (Buy Online) is a great linear algebra book for engineers. This text has an excellent balance of theory and application, making it perfect to use as the main textbook in a course on linear algebra.

It is geared towards undergraduate students in engineering majors or mathematics minors who want to expand their understanding of linear algebra beyond what they learned in calculus courses but without using heavy notation (so it’s easy even for those with a limited math background).

This text provides a complete introduction to the subject, from basic concepts like matrices and Gaussian elimination to more advanced topics such as eigenvalues, determinants, orthogonality, and matrix computations.

In addition to helping you understand what linear algebra entails, this text also provides plenty of examples throughout its chapters that will help solidify your understanding of how different concepts work together in real-world applications like matrix computations and game theory problems

If you’re looking for a great resource on linear algebra without having to wade through dense mathematical notation or confusing explanations, then we recommend picking up a copy of Linear Algebra and Its Applications



Linear Algebra and Its Applications 5th Edition

Linear Algebra and Its Applications by Steven Lay (Buy Online) is one of the best linear algebra books for engineers. The text covers all of the major linear algebra topics in a clear, concise manner with plenty of exercises to help you practice what you’ve learned. Best of all, this book is available at an affordable price that won’t break your budget.

Linear Algebra and Its Applications covers linear equations, matrix algebra, determinants, vector spaces, eigenvalues and eigenvectors, orthogonality, and least-squares symmetric matrices. And the chapters on finite-state Markov chains are especially helpful to those who work in machine learning or data analysis fields that require knowledge of dynamic systems with time-varying parameters.

If this sounds like just the book you need to get started on an engineering degree, click here today. You can read more about it or purchase it from Amazon right now, and if you act fast there are usually some great deals available too.



Linear Algebra: What you Need to Know

The book Linear Algebra: What you Need to Know (Buy Online) is a great guide for engineers who need an introduction and review of linear algebra. It covers everything from matrices, vectors, matrix algebra all the way to eigenvectors. This one-stop resource will help anyone keep up with the latest ideas in this field without having to cobble together all of this information from free content online.

This comprehensive reference gives a detailed description of the most important concepts in linear algebra and offers exercises with solutions at the end of each chapter, making it an ideal textbook for use as a course text or self-study guide.

Whether you’re looking for help understanding matrices, vectors, determinants, vector spaces, linear transformations, or eigenvectors (or many other topics), this book has everything you need to know to get started learning linear algebra.



Linear Algebra (Cambridge Mathematical Textbooks) 1st Edition

Linear Algebra – Cambridge University Press (Buy Online) is designed for undergraduate engineering students who are required to take a course on Linear Algebra. It provides clear explanations of fundamental concepts such as vectors, matrices, determinants, eigenvalues, and eigenvectors, etc.,

This text is perfect for beginners as it provides clear explanations of key linear algebra concepts with detailed examples to help cement understanding and retention.

From linear systems to determinants, this book has something for everyone looking to get their feet wet or brush up on old skills.

This book also covers more advanced topics including Linear Systems and Vector spaces, Linear Maps and Matrices, Linear Independence, and Inner Products among others making it an excellent resource for any engineer looking to add to their mathematics skillset.



Linear Algebra Pearson 5th Edition

Linear Algebra Pearson 5th Edition (Buy Online) covers a variety of topics including vector spaces, linear transformations, matrix operations, diagonalization, and more. Whether you are an engineer or not, this textbook will help you understand some of the most important concepts in mathematics today at an advanced level.

The authors have written this book to help engineers better understand linear algebra in order to apply it usefully in their future careers. By carefully explaining topics like determinants and eigenvalues/vectors they hope that readers will be able to make sense of other texts or classes that may seem overly abstract at first glance. They also believe that understanding these concepts will give readers a deeper appreciation of mathematics itself which is often taken for granted by non-mathematicians (engineers included).



Linear Algebra and Optimization for Machine Learning

Linear Algebra and Optimization for Machine Learning (Buy Online) provides an accessible introduction to these topics by emphasizing their role in modern data science applications such as deep neural networks, support vector machines (SVMs), random forests, gradient boosting machines (GBMs), k-means clustering, etc.

Linear algebra and optimization are two of the most important concepts in machine learning. However, there aren’t many good entry-level textbooks that explain these topics in a way that is accessible to robotics engineers.

This textbook was written for engineers who want to learn linear algebra and optimization as it relates to machine learning. It’s not too technical, but it does go into more detail than other books on this topic. Plus, there are even exercises at the end of each chapter with solutions available for instructors who wish to use this book as a teaching aid.



Linear Algebra: Theory, Intuition, Code

Linear Algebra: Theory, Intuition, Code (Buy Online) uses a different approach to teaching linear algebra that focuses more on intuition and code implementations in MATLAB and Python. It provides several distinct explanations and real-world examples, which helps you understand complex linear algebra concepts better than a single explanation can do alone. It also explains these ideas using graphs to help strengthen your geometric intuition about linear algebra. Finally, it includes code examples and assignments in MATLAB or Python so that you can put your knowledge into practice immediately.



Linear Algebra and Its Applications with R

Linear Algebra and Its Applications with R (Buy Online) covers most topics related to linear algebra such as vector spaces, matrices, determinants, eigenvalues/eigenvectors, multilinear maps, etc., but focuses on their applications rather than proofs or theorems. All chapters are accompanied by R code segments which illustrate the implementation of these concepts using simple examples from biology & medicine; computer vision, and image processing.



Linear Algebra and Learning from Data First Edition

Linear Algebra and Learning from Data (Buy Online) offers an integrated treatment of these two subjects that will be of interest to undergraduate engineering students who want to learn about machine learning methods, but also need a solid foundation in linear algebra before they can enter this field. This book covers all the material you’ll need to know if you want to learn how neural networks work, or apply them to real-world data sets like speech recognition systems, robotics motion planning systems, etc.

This book also has an accompanying Course on MIT’s OpenCourseWare that you can take for FREE (Click Here)



Linear Algebra for Everyone (The Gilbert Strang Series)

Linear Algebra for Everyone (Buy Online) is a book that breaks linear algebra down into bite-sized pieces, making it easy to understand and remember.

This book starts by teaching you important concepts such as how to find a matrix’s rank and column space. From there, more topics are covered with plenty of examples and exercises including solving linear equations, orthogonality, linear transformations, and subspaces which all contain detailed explanations.

Finally, eigenvalues are discussed in detail along with singular value decomposition illustrated through real-world applications in computer science and engineering.

If you’re looking for an excellent resource on linear algebra from beginning to end then I highly recommend Linear Algebra for Everyone (The Gilbert Strang Series).



Linear Algebra: Step by Step 1st Edition

Linear Algebra: Step by Step (Buy Online) covers a wealth of topics that will be useful for engineering students. The first chapter goes over linear equations and the next two covers Euclidean space followed by general vector spaces. This textbook also goes over inner product spaces, linear transformations, determinants, and inverse matrices as well as eigenvalues and eigenvectors.

Linear Algebra: Step by Step also contains a wide range of different types of exercises included throughout each of the chapters, which will allow engineers with varying levels of experience with mathematics to test their understanding before moving on to more complex topics.