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Linear Algebra For Dummies (2009)

di Mary Jane Sterling

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Learn to: Solve linear algebra equations in several ways Put data in order with matrices Determine values with determinants Work with eigenvalues and eigenvectors Your hands-on guide to real-world applications of linear algebra Does linear algebra leave you feeling lost? No worries --this easy-to-follow guide explains the how and the why of solving linear algebra problems in plain English. From matrices to vector spaces to linear transformations, you'll understand the key concepts and see how they relate to everything from genetics to nutrition to spotted owl extinction. Line up the basics -- discover several different approaches to organizing numbers and equations, and solve systems of equations algebraically or with matrices Relate vectors and linear transformations -- link vectors and matrices with linear combinations and seek solutions of homogeneous systems Evaluate determinants -- see how to perform the determinant function on different sizes of matrices and take advantage of Cramer's rule Hone your skills with vector spaces -- determine the properties of vector spaces and their subspaces and see linear transformation in action Tackle eigenvalues and eigenvectors -- define and solve for eigenvalues and eigenvectors and understand how they interact with specific matrices Open the book and find: Theoretical and practical ways of solving linear algebra problems Definitions of terms throughout and in the glossary New ways of looking at operations How linear algebra ties together vectors, matrices, determinants, and linear transformations Ten common mathematical representations of Greek letters Real-world applications of matrices and determinants… (altro)
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I bought this book to read the summer before enrolling in Linear Algebra, as I had heard it was a hard subject even for the mathematically inclined. It's a good introduction, although it's not very comprehensive. It spends a lot of time covering matrix algebra operations that are--at least at my college--usually done by computer. Another downside is the lack of practice problems. Still, a clear and competent text, and not a bad way to start out. ( )
  Maiasaura | May 16, 2011 |
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I want to dedicate this book to friends and colleagues, past and present, at Bradley University. Without their friendship, counsel, and support over these past 30 years, my teaching experience wouldn't have been quite so special and my writing opportunities wouldn't have been quite the same. It's been an interesting journey, and I thank all who have made it so.
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Linear algebra is usually the fledgling mathematician's first introduction to the real world of mathematics.
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Learn to: Solve linear algebra equations in several ways Put data in order with matrices Determine values with determinants Work with eigenvalues and eigenvectors Your hands-on guide to real-world applications of linear algebra Does linear algebra leave you feeling lost? No worries --this easy-to-follow guide explains the how and the why of solving linear algebra problems in plain English. From matrices to vector spaces to linear transformations, you'll understand the key concepts and see how they relate to everything from genetics to nutrition to spotted owl extinction. Line up the basics -- discover several different approaches to organizing numbers and equations, and solve systems of equations algebraically or with matrices Relate vectors and linear transformations -- link vectors and matrices with linear combinations and seek solutions of homogeneous systems Evaluate determinants -- see how to perform the determinant function on different sizes of matrices and take advantage of Cramer's rule Hone your skills with vector spaces -- determine the properties of vector spaces and their subspaces and see linear transformation in action Tackle eigenvalues and eigenvectors -- define and solve for eigenvalues and eigenvectors and understand how they interact with specific matrices Open the book and find: Theoretical and practical ways of solving linear algebra problems Definitions of terms throughout and in the glossary New ways of looking at operations How linear algebra ties together vectors, matrices, determinants, and linear transformations Ten common mathematical representations of Greek letters Real-world applications of matrices and determinants

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