This introduction to linear algebra offers a balance between abstraction/theory and computational skills. KEY TOPICS: Linear Equations and Matrices. Real Vector Spaces. Inner Product Spaces. Linear Transformations and Matrices. Determinants. Eigenvalues and Eigenvectors. Differential Equations. MATLAB for Linear Algebra. MATLAB Exercises. For anyone needing a basic understanding of matrix theory or computational skills involving linear algebra.
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This text has been highly successful through five previous editions for one clear reason--it presents basic ideas in a manner that students can readily understand. Coverage begins with linear systems of equations, easing students into mathematical thought processes from the outset. Kolman gradually introduces abstract ideas next, carefully supporting discussion with worked examples that illustrate the theories under review. The Sixth Edition reflects improvements in the teaching...
Linear algebra continues to be an important course for a diverse number of students for at least two reasons. First, few subjects can claim to have such widespread applications in other areas of mathematics—multivariable calculus, differential equations, and probability, for example—as well as in physics, biology, chemistry, economics, finance, psychology, sociology, and all fields of engineering. Second, the subject presents the...
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