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Catalogue Description:By working with vectors and matrices, linear algebra provides the structure for solving problems that arise in practical applications ranging from Markov processes to optimization and from Fourier series to statistics. To understand how, we develop thorough treatments of: euclidean spaces, including their bases, dimensions and geometry; and linear transformation of such spaces, including their determinants, eigenvalues, and eigenvectors. These concepts will be applied to solve dynamical systems, including both ordinary and partial differential equations.To read any PDF files that are posted, make sure that you have Adobe Acrobat Reader URL: http://www.courses.fas.harvard.edu/~math21b/index.html
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