{"product_id":"derivative-free-and-blackbox-optimization-9783319689128","title":"Derivative-Free and Blackbox Optimization","description":"\u003cp\u003e • Author(s): Charles Audet\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Applied\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book is designed as a textbook, suitable for self-learning or for teaching an upper-year university course on derivative-free and blackbox optimization. \u003c\/p\u003e\u003cp\u003eThe book is split into 5 parts and is designed to be modular; any individual part depends only on the material in Part I. Part I of the book discusses what is meant by Derivative-Free and Blackbox Optimization, provides background material, and early basics while Part II focuses on heuristic methods (Genetic Algorithms and Nelder-Mead). Part III presents direct search methods (Generalized Pattern Search and Mesh Adaptive Direct Search) and Part IV focuses on model-based methods (Simplex Gradient and Trust Region). Part V discusses dealing with constraints, using surrogates, and bi-objective optimization.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eEnd of chapter exercises are included throughout as well as 15 end of chapter projects and over 40 figures. Benchmarking techniques are also presented in the appendix.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45276126904471,"sku":"9783319689128","price":6549.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783319689128.webp?v=1769284789","url":"https:\/\/atlanticbooks.com\/products\/derivative-free-and-blackbox-optimization-9783319689128","provider":"Atlantic Books","version":"1.0","type":"link"}