The author makes use of a novel approach in writing this book which tackles the determinants in the latter half to ensure readers fully understand the central goal of the subjects covered first, as well as how they can be applied in the real world.įurthermore, Linear Algebra Done Right takes extra steps to offer well broken-down explanations and make proofs simpler, rendering the book a valuable tool even for novices.Įach chapter ends with linear algebra problems that the student is required to solve in order to self-evaluate how well they understand the material covered. It’s a bestseller and is highly recommended by both students and faculty alike. Linear Algebra Done Right is a book designed for undergraduates in mathematics as well as those in graduate school. Readers report that using this book exposes you to several concepts surrounding linear algebra which allow you to understand it better.Īside from the quality of knowledge relayed to the reader, buyers have commented that the book is also light-hearted and fun to read, so it’s no surprise that the No bullshit guide to linear algebra has been rated as one of the best guides when it comes to teaching yourself the intricacies of the subject. To cement the reader’s understanding, there are math problems to solve after each module that encourage students to boost not only their linear algebra skills but their appreciation of the potential applications to real-life situations. Definitions, diagrams, formulas, explanations, and real-world examples are used to educate the reader in an accessible and clear way we’re sure readers will love. One of the strengths of this book is the way it presents the subject in a concise and precise manner. The book attempts to create a geometric interpretation of linear algebra and its theoretical foundations, making it the perfect tool to supplement the studies of university students in particular. The author of the No Bullshit Guide to Linear Algebra, Ivan Savov, utilizes his 15-year experience as a lecturer to paint linear algebra as a cornerstone of engineering and science that is key to the development of computer graphics, machine learning, and quantum mechanics. Publisher: OUP Oxford 1 edition (October 31, 2013).Readers don’t have a bad word to say about the book and love the interesting facts they learn as they read. Each chapter opens with a short biography of a leading player in the field of linear algebra who relates to the context being discussed within, and these-coupled with interviews with leading experts-ensure your understanding expands from the math to the state of the field as a whole. Linear Algebra is one of the most dynamic mathematics textbooks ever. The exercises themselves are designed to test your understanding of each section, drawn from past questions in college examinations, and geared towards boosting your confidence with the wording and style used ahead of the real deal. The major strength of this book is in the number of examples it presents step-by-step to make the operations as easy to follow as possible, and the fact that the solutions to problems are all available online, making it the perfect companion for self-guided study or distance learners. Linear Algebra by Kuldeep Singh is arguably one of the best texts on linear algebra out there, with the author offering a broad outlook covering its applications in many fields, including business, computer science, and engineering, with some interesting exposition on how Google makes use of linear algebra to rank search results.
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