Best Linear Algebra Books
Here you will get Best Linear Algebra Books For you.This is an up-to-date list of recommended books.
1. Graph Paper Composition Notebook: Grid Paper Notebook, Quad Ruled, 100 Sheets (Large, 8.5 x 11) (Graph Paper Notebooks)
Author: by Joyful Journals
Published at: CreateSpace Independent Publishing Platform (August 2, 2018)
For a subject that is a challenge at all levels of education, this chart covers principles for basic algebra, intermediate algebra and college algebra courses.
3. Linear Algebra Done Right (Undergraduate Texts in Mathematics)
Author: by Sheldon Axler
Published at: Springer; 3rd ed. 2015 edition (December 18, 2014)
This best-selling textbook for a second course in linear algebra is aimed at undergrad math majors and graduate students. The novel approach taken here banishes determinants to the end of the book. The text focuses on the central goal of linear algebra: understanding the structure of linear operators on finite-dimensional vector spaces.
The author has taken unusual care to motivate concepts and to simplify proofs. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. The third edition contains major improvements and revisions throughout the book.
More than 300 new exercises have been added since the previous edition. Many new examples have been added to illustrate the key ideas of linear algebra. New topics covered in the book include product spaces, quotient spaces, and dual spaces. Beautiful new formatting creates pages with an unusually pleasant appearance in both print and electronic versions.
No prerequisites are assumed other than the usual demand for suitable mathematical maturity. Thus the text starts by discussing vector spaces, linear independence, span, basis, and dimension. The book then deals with linear maps, eigenvalues, and eigenvectors. Inner-product spaces are introduced, leading to the finite-dimensional spectral theorem and its consequences.
4. Algebra, Part 2 (Quick Study)
Author: by S. B. Kizlik
Published at: Barcharts Inc; Lam Crds edition (April 1, 2002)
Algebra 2 is the advanced QuickStudy guide specially designed for students who are already familiar with Algebra 1.
5. Quantum Mechanics: The Theoretical Minimum
Author: by Leonard Susskind
Published at: Basic Books; Illustrated edition (May 12, 2015)
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 Minimum, Susskind and Friedman provide a lively introduction to this famously difficult field, which attempts to understand the behavior of sub-atomic objects through mathematical abstractions.
Unlike other popularizations that shy away from quantum mechanics’ weirdness, Quantum Mechanics embraces the utter strangeness of quantum logic. The authors offer crystal-clear explanations of the principles of quantum states, uncertainty and time dependence, entanglement, and particle and wave states, among other topics, and each chapter includes exercises to ensure mastery of each area.
Like The Theoretical Minimum, this volume runs parallel to Susskind’s eponymous Stanford University-hosted continuing education course. An approachable yet rigorous introduction to a famously difficult topic, Quantum Mechanics provides a tool kit for amateur scientists to learn physics at their own pace.
6. Introduction to Linear Algebra (Gilbert Strang)
Author: by Gilbert Strang
Published at: Wellesley-Cambridge Press; 5th edition (May 1, 2016)
Gilbert Strang’s textbooks have changed the entire approach to learning linear algebra – away from abstract vector spaces to specific examples of the four fundamental subspaces: the column space and nullspace of A and A’. This new fifth edition has become more than a textbook for the basic linear algebra course.
That is its first purpose and always will be. The new chapters about applications of the SVD, probability and statistics, and Principal Component Analysis in finance and genetics, make it also a textbook for a second course, plus a resource at work.
Linear algebra has become central in modern applied mathematics. This book supports the value of understanding linear algebra. Introduction to Linear Algebra, Fifth Edition includes challenge problems to complement the review problems that have been highly praised in previous editions.
The basic course is followed by eight applications: differential equations in engineering, graphs and networks, statistics, Fourier methods and the FFT, linear programming, computer graphics, cryptography, Principal Component Analysis, and singular values. Audience: Thousands of teachers in colleges and universities and now high schools are using this book, which truly explains this crucial subject.
7. Linear Algebra: Step by Step
Author: by Kuldeep Singh
Published at: Oxford University Press; 1st edition (December 31, 2013)
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 upon linear algebra to rank the results of a search with respect to relevance. The strength of the text is in the large number of examples and the step by step explanation of each topic as it is introduced.
It is compiled in a way that allows distance learning, with explicit solutions to set problems freely available online. The miscellaneous exercises at the end of each chapter comprise questions from past exam papers from various universities, helping to reinforce the reader’s confidence.
Also included, generally at the beginning of sections, are short historical biographies of the leading players in the field of linear algebra to provide context for the topics covered. The dynamic and engaging style of the book includes frequent question and answer sections to test the reader’s understanding of the methods introduced, rather than requiring rote learning.
8. No bullshit guide to linear algebra
Author: by Ivan Savov
Published at: Minireference Co.; 2nd edition (April 2, 2017)
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, quantum mechanics, and countless other applications. 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 techniques of linear algebra, their geometric interpretations, and the theoretical foundations. This university-level textbook contains lessons on linear algebra written in a style that is precise and concise.
Each concept is illustrated through definitions, formulas, diagrams, explanations, and examples of real-world applications. Readers build their math superpowers by solving practice problems and learning to use the computer algebra system SymPy to speed up tedious matrix arithmetic tasks. The book explains the concepts in a way that gives a strong intuitive understanding.
9. Math for Programmers: 3D graphics, machine learning, and simulations with Python
Author: by Paul Orland
Published at: Manning Publications; 1st edition (January 12, 2021)
To score a job in data science, machine learning, computer graphics, or cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer.
Filled with lots of helpful graphics and more than 300 exercises and mini-projects, this book unlocks the door to interesting-and lucrative! Careers in some of today’s hottest programming fields. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
10. Linear Algebra and Optimization for Machine Learning: A Textbook
Author: by Charu C. Aggarwal
Published at: Springer; 1st ed. 2020 edition (May 13, 2020)
This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout the book. A solution manual for the exercises at the end of each chapter is available to teaching instructors. This textbook targets graduate level students and professors in computer science, mathematics and data science.
Advanced undergraduate students can also use this textbook. The chapters for this textbook are organized as follows:1. Linear algebra and its applications: The chapters focus on the basics of linear algebra together with their common applications to singular value decomposition, matrix factorization, similarity matrices (kernel methods), and graph analysis.
Numerous machine learning applications have been used as examples, such as spectral clustering, kernel-based classification, and outlier detection. The tight integration of linear algebra methods with examples from machine learning differentiates this book from generic volumes on linear algebra. The focus is clearly on the most relevant aspects of linear algebra for machine learning and to teach readers how to apply these concepts.2.
11. Linear Algebra and Its Applications
Author: by David Lay
Published at: Pearson; 5th edition (December 24, 2014)
NOTE: Before purchasing, check with your instructor to ensure you select the correct ISBN. Several versions of Pearson’s MyLab & Mastering products exist for each title, and registrations are not transferable. To register for and use Pearson’s MyLab & Mastering products, you may also need a Course ID, which your instructor will provide.
Used books, rentals, and purchases made outside of Pearson If purchasing or renting from companies other than Pearson, the access codes for Pearson’s MyLab & Mastering products may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase.
Note: You are purchasing a standalone product; MyMathLab does not come packaged with this content. MyMathLab is not a self-paced technology and should only be purchased when required by an instructor. If you would like to purchase both the physical text and MyMathLab, search for: 9780134022697 / 0134022696 Linear Algebra and Its Applications plus New MyMathLab with Pearson eText – Access Card Package, 5/e With traditional linear algebra texts, the course is relatively easy for students during the early stages as material is presented in a familiar, concrete setting.
12. Learn Math Fast System Volume III (Volume 3)
Author: by J K Mergens
Published at: CreateSpace Independent Publishing Platform; Fourth edition (May 16, 2015)
Volume III of the Learn Math Fast System teaches Pre-algebra in just a few months. The older you are the faster you’ll learn. Topics include Order of Operations, Solving for x, Solving for x in Terms of Y, Ratios, Proportions, Combining Like Terms, Exponents, Square Root, Distributive Property, Slopes, Graphing, Y-Intercept, Linear Equations.
The Learn Math Fast System is being used in all 50 States and a dozen other countries with TREMENDOUS success! Read the reviews it’s the one math program that REALLY WORKS! Everything is included; lessons, worksheets, tests, and answers with full solutions.
13. Graph Paper Composition: 8.5 x 11 Inch Notebook With 100 Pages
Author: by TMB
Published at: Independently published (January 9, 2021)
Grab Yours Today!Special LaunchAbout this notebook:100 graph ruled pagesGrid ruled on both sides with thin blue linesPerfect for architects, artists, and any drawing activitiesHigh-quality matte cover for a professional finishPerfect size at 8.5 x 11 in / 21.59 x 27. 94 cm – Larger than mostClick buy to get yours today!
14. Quantum Physics for Beginners: Discover the Science of Quantum Mechanics and Learn the Basic Concepts from Interference to Entanglement by Analyzing the Most Famous Quantum Experiments
Author: by Daniel Golding
Published at: Independently published (August 16, 2020)
B&W Edition Is it possible for two objects to be in two places at once? Can cause and effect happen in reverse? Is time travel possible? Believe it or not, it is possible: welcome to the Quantum World! Unlike other arguments, however, the real difficulty is not in understanding, but in accepting something completely senseless, precisely in the right meaning of the term: not sensible, that is, contrary to the perception of our senses.
You will notice that quantum mechanics is much “easier” than the theory of relativity. In fact, you could get a child to help you digest certain concepts. The great difficulty does not lie in their complexity, but their absurdity in terms of logic acquired after many years of existence in a world that constantly follows certain rules.
The more the brain is free of preconceptions and ingrained notions, the better it is. You will learn: What is interference;The Double-Slit Experiment;Quantum wave function;Feynman’s works;The relation between waves and particles;The Heisenberg Uncertainty Principle;How particles can be in multiple places at once;Quantum entanglement;The Schrdinger’s cat thought experiment;The Copenhagen interpretation and need for an observer;and much more!
15. Special Relativity and Classical Field Theory: The Theoretical Minimum
Author: by Leonard Susskind
Published at: Basic Books; Reprint edition (May 7, 2019)
The third volume in the bestselling physics series cracks open Einstein’s special relativity and field theory 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 Friedman walk us through the complexities of waves, forces, and particles by exploring special relativity and electromagnetism. It’s a must-read for both devotees of the series and any armchair physicist who wants to improve their knowledge of physics’ deepest truths.
16. Linear Algebra (Dover Books on Mathematics)
Author: by Georgi E. Shilov
Published at: Dover Publications; Dover Books on Mathematics edition (June 1, 1977)
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 argument, coordinate transformations, the canonical form of the matrix of a linear operator, bilinear and quadratic forms, Euclidean spaces, unitary spaces, quadratic forms in Euclidean and unitary spaces, finite-dimensional algebras and their representations, with an appendix on categories of finite-dimensional spaces.
The author begins with elementary material and goes easily into the advanced areas, covering all the standard topics of an advanced undergraduate or beginning graduate course. The material is presented in a consistently clear style. Problems are included, with a full section of hints and answers in the back.