Title
Introduction To Linear Algebra (Gilbert Strang, 2)
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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 Vectors, Including Ways To Analyze A Matrix Of Data A Revised Chapter On Computing In Linear Algebra, With Professionallevel Algorithms And Code That Can Be Downloaded For A Variety Of Languages A New Section On Linear Algebra And Cryptography A New Chapter On Linear Algebra In Probability And Statistics. A Dedicated And Active Website Also Offers Solutions To Exercises As Well As New Exercises From Many Different Sources (Including Practice Problems, Exams, And Development Of Textbook Examples), Plus Codes In Matlab, Julia, And Python.
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This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: How many pages does the book have? A: This book has six hundred pages. It provides comprehensive coverage of linear algebra concepts, making it suitable for a full course.
- Q: What are the dimensions of the book? A: The book measures seven point eight inches in length, one point two two inches in width, and nine point three four inches in height. These dimensions make it a standard-sized textbook.
- Q: What type of binding does the book have? A: The book is bound in hardcover. This durable binding ensures longevity and usability for students who frequently reference it.
- Q: Who is the author of this book? A: The author of this book is Gilbert Strang. He is renowned for his expertise in linear algebra and has written several influential textbooks.
- Q: What topics are covered in this book? A: This book covers various topics including singular values, linear algebra in cryptography, and applications in probability and statistics. These additions enhance its relevance to modern applications.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It provides foundational concepts in linear algebra, making it accessible for undergraduate mathematics students.
- Q: How can I use this book effectively? A: To use this book effectively, read each chapter sequentially and practice the exercises provided. The book also includes an active website for additional resources and exercises.
- Q: Is this book appropriate for self-study? A: Yes, this book is appropriate for self-study. It contains clear explanations and exercises that allow learners to grasp linear algebra concepts independently.
- Q: Are there exercises included in the book? A: Yes, the book includes numerous exercises at the end of each chapter. These exercises range from basic to advanced, helping reinforce the material learned.
- Q: How should I store this book? A: Store this book upright in a cool, dry place to maintain its condition. Avoid exposing it to direct sunlight to prevent fading of the cover and pages.
- Q: Can I clean the book's cover? A: Yes, you can clean the book's cover. Use a soft, dry cloth to gently wipe the surface, avoiding any harsh chemicals that could damage the material.
- Q: What if the book arrives damaged? A: If the book arrives damaged, contact the retailer for a return or exchange. Most retailers have policies in place for damaged goods.
- Q: Does this book come with online resources? A: Yes, this book comes with access to an active website. The website offers solutions to exercises and additional practice problems for enhanced learning.
- Q: Is there a warranty for this book? A: No, there is typically no warranty for books. However, check with the retailer for their specific return policies.
- Q: Is this book suitable for advanced study? A: Yes, this book is also suitable for advanced study. It includes detailed discussions on complex topics, making it useful for graduate students in mathematics or related fields.