{"product_id":"9781394245819","title":"Surrogate Modeling and Optimization Theories, Applications, and Limitations","description":"\u003ch1\u003eSurrogate Modeling and Optimization\u003c\/h1\u003e\u003ch2\u003eTheories, Applications, and Limitations\u003c\/h2\u003e\u003ch3\u003eNam-Ho Kim\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eTechnology \u0026amp; Engineering \/ Structural\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eAn expert reference on building surrogate models, using them for optimization, their associated prediction uncertainty, and potential failures, with practical implementation in MATLAB\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eSurrogate Modeling and Optimization\u003c\/i\u003e explains the meaning of different surrogate models and provides an in-depth understanding of such surrogates, emphasizing how much uncertainty is associated with them, and when and how a surrogate model can fail in approximating complex functions, helping readers understand theory through practical implementation in MATLAB. This book enables readers to obtain an accurate approximate function using as few samples as possible, thereby allowing them to replace expensive computer simulations and experiments during design optimization, sensitivity analysis, and\/or uncertainty quantification. \u003c\/p\u003e\n\u003cp\u003eThe book is organized into three parts. Part I introduces the basics of surrogate modeling. Part II reviews various theories and algorithms of design optimization. Part III presents advanced topics in surrogate modeling, including the Kriging surrogate, neural network models, multi-fidelity surrogates, and efficient global optimization using Kriging surrogates. \u003c\/p\u003e\n\u003cp\u003eEach chapter contains a multitude of examples and exercise problems. Lecture slides and a solution manual for exercise problems are available for instructors on a companion website. \u003c\/p\u003e\n\u003cp\u003eTopics discussed in \u003ci\u003eSurrogate Modeling and Optimization\u003c\/i\u003e include: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e Various designs of experiments, such as those developed for linear and quadratic polynomial response surfaces (PRS) in a boxlike design space\u003c\/li\u003e\n\u003cli\u003e Criteria for constrained and unconstrained optimization and the most important optimization theories\u003c\/li\u003e\n\u003cli\u003e Various numerical algorithms for gradient-based optimization\u003c\/li\u003e\n\u003cli\u003e Gradient-free optimization algorithms, often referred to as global search algorithms, which do not require gradient or Hessian information\u003c\/li\u003e\n\u003cli\u003e Detailed explanations and implementation on Kriging surrogates, often referred to as Gaussian Process, especially when samples include noise\u003c\/li\u003e\n\u003cli\u003e The combination of a small number of high-fidelity samples with many low-fidelity samples to improve prediction accuracy\u003c\/li\u003e\n\u003cli\u003e Neural network models, focusing on training uncertainty and its effect on prediction uncertainty\u003c\/li\u003e\n\u003cli\u003e Efficient global optimization using either polynomial response surfaces or Kriging surrogates\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eSurrogate Modeling and Optimization\u003c\/i\u003e is an essential learning companion for senior-level undergraduate and graduate students in all engineering disciplines, including mechanical, aerospace, civil, biomedical, and electrical engineering. The book is also valuable for industrial practitioners who apply surrogate models to solve their optimization problems.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eNam-Ho Kim\u003c\/b\u003e is a Professor in the Department of Mechanical and Aerospace Engineering at the University of Florida. His research interests include design under uncertainty, prognostics and health management, verification validation and uncertainty quantification, and nonlinear structural mechanics. He has more than twenty years of experience teaching materials in these fields to graduate students. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e27 January 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781394245819\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e464\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e40.96\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44508722200716,"sku":"9781394245819","price":125.06,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781394245819_f452399d-8ef9-4cc5-9bb0-0c337f42d697.jpg?v=1780283823","url":"https:\/\/lateknightbooks.com\/products\/9781394245819","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}