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Mathematics - Introduction to Linear Algebra (Gilbert Strang, 5)

Description

Book Synopsis: Linear algebra now rivals or surpasses calculus in importance for people working in quantitative fields of all kinds: engineers, scientists, economists and business people. Gilbert Strang has taught linear algebra at MIT for more than 50 years and the course he developed has become a model for teaching around the world. His video lectures on MIT OpenCourseWare have been viewed over ten million times and his twelve textbooks are popular with readers worldwide. This sixth edition of Professor Strang's most popular book, Introduction to Linear Algebra, introduces the ideas of independent columns and the rank and column space of a matrix early on for a more active start. Then the book moves directly to the classical topics of linear equations, fundamental subspaces, least squares, eigenvalues and singular values – in each case expressing the key idea as a matrix factorization. The final chapters of this edition treat optimization and learning from data: the most active application of linear algebra today. Everything is explained thoroughly in Professor Strang's characteristic clear style. It is sure to delight and inspire the next generation of learners.

Details

Are you looking to enhance your quantitative skills? Look no further than Gilbert Strang's Introduction to Linear Algebra. This book is a must-have for engineers, scientists, economists, and business people. With over 50 years of teaching experience at MIT, Professor Strang has created a comprehensive guide that has become a global standard in linear algebra education. The popularity of this book is evident from its millions of views on MIT OpenCourseWare and its readership worldwide.

What sets this sixth edition apart is its approach to introducing key concepts early on. Professor Strang starts by diving into independent columns and the rank and column space of a matrix. This active start sets a solid foundation for understanding linear equations, fundamental subspaces, least squares, eigenvalues, and singular values - all of which are explained through matrix factorization.

In addition to the classical topics, this edition also covers optimization and learning from data. Linear algebra's application in data analysis is one of the most dynamic fields today, and this book equips you with the necessary knowledge to excel in this area. Professor Strang explains these concepts in his trademark clear and engaging style, making learning a delightful and inspiring experience.

Don't miss out on the opportunity to master linear algebra and unlock endless possibilities in your professional journey. Get your copy of Introduction to Linear Algebra by Gilbert Strang today and take your quantitative skills to new heights!

Click here to order Introduction to Linear Algebra now!

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