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Numerical Linear Algebra and Optimization Jason Mittell Time and again she offersNumerical Linear Algebra and Optimization covers the fundamentals of closely related topics: linear systems (linear equations and least squares) and linear programming (optimizing a linear function subject to linear constraints). For each problem class, stable and efficient numerical algorithms intended for a finite precision environment are derived and analyzed. In 1991, when the book first appeared, these topics were rarely taught with a unified
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