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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简明扼要的小书，讲了特征值和特殊矩阵，矩阵分解，适合线性代数一的人读，其中里面的很多问题，都是给的非常的清楚
评分简明扼要的小书，讲了特征值和特殊矩阵，矩阵分解，适合线性代数一的人读，其中里面的很多问题，都是给的非常的清楚
评分简明扼要的小书，讲了特征值和特殊矩阵，矩阵分解，适合线性代数一的人读，其中里面的很多问题，都是给的非常的清楚
评分简明扼要的小书，讲了特征值和特殊矩阵，矩阵分解，适合线性代数一的人读，其中里面的很多问题，都是给的非常的清楚
评分简明扼要的小书，讲了特征值和特殊矩阵，矩阵分解，适合线性代数一的人读，其中里面的很多问题，都是给的非常的清楚
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