Mathematical Statistics with Resampling and R
Laura M. Chihara, Tim C. Hesterberg
909,00 kr.
Nypris 1.643,00 kr.
Convex optimization is a cornerstone in many scientific and engineering disciplines. In this comprehensive volume, Stephen Boyd and Lieven Vandenberghe introduce the fundamental elements of convex sets and functions, systematically exploring various classes of convex optimization problems. The book meticulously develops numerical techniques for solving these problems with exceptional efficiency, turning theory into practical application. The text delves into duality, approximation strategies, and statistical estimation methods, and also examines both geometrical challenges and minimization techniques - both unconstrained and constrained - including interior-point methods. Rich with worked examples and exercises, this volume serves as an indispensable resource for students, researchers, and professionals in fields such as engineering, computer science, mathematics, statistics, finance, and economics.
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