This second edition provides an enhanced exposition of the long-overlooked Hadamard semidifferential calculus, first introduced in the 1920s by mathematicians Jacques Hadamard and Maurice René Fréchet. Hadamard semidifferential calculus is possibly the largest family of nondifferentiable functions that retains all the features of classical differential calculus, including the chain rule, making it a natural framework for initiating a large audience of undergraduates and non-mathematicians into the world of nondifferentiable optimization.
Introduction to Optimization and Hadamard Semidifferential Calculus, Second Edition:
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Michel C. Delfour is a professor of mathematics and statistics at the University of Montreal and is the author or coauthor of 13 books and about 200 papers. Delfour’s areas of research include shape and topological optimal design, analysis and control of delay and distributed parameter systems, control and stabilization of large flexible space structures, numerical methods in differential equations and optimization, and transfinite interpolation. He is a Fellow of SIAM, the Canadian Mathematical Society, the Academy of Science at the Royal Society of Canada, and, formerly, the Guggenheim Foundation.
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Hardback. Condición: New. Second Edition. This second edition provides an enhanced exposition of the long-overlooked Hadamard semidifferential calculus, first introduced in the 1920s by mathematicians Jacques Hadamard and Maurice René Fréchet. Hadamard semidifferential calculus is possibly the largest family of nondifferentiable functions that retains all the features of classical differential calculus, including the chain rule, making it a natural framework for initiating a large audience of undergraduates and non-mathematicians into the world of nondifferentiable optimization.Introduction to Optimization and Hadamard Semidifferential Calculus, Second Edition:builds upon its prior edition's foundations in Hadamard semidifferential calculus, showcasing new material linked to convex analysi¬¬s and nonsmooth optimization;presents a modern treatment of optimization and Hadamard semidifferential calculus while remaining at a level that is accessible to undergraduate students; andchallenges students with exercises related to problems in such fields as engineering, mechanics, medicine, physics, and economics and supplies answers in Appendix B. Nº de ref. del artículo: LU-9781611975956
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