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ISBN10: 1108833411, ISBN13: 9781108833417, [publisher: Cambridge University Press] Hardcover New Book. Shipped from UK. Established seller since 2000. [Fairford, GLOS, United Kingdom] [Publication Year: 2021]
Cambridge University Press 11/18/2021 12: 00: 00 AM Hardcover PLEASE NOTE, WE DO NOT SHIP TO DENMARK. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from the UK.
Cambridge University Press 11/18/2021 12: 00: 00 AM Hardcover PLEASE NOTE, WE DO NOT SHIP TO DENMARK. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from the UK.
Cambridge University Press 11/18/2021 12: 00: 00 AM Hardcover New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Please note we cannot offer an expedited shipping service from the UK.
ISBN10: 1108833411, ISBN13: 9781108833417, [publisher: Cambridge University Press] Hardcover New Book. Shipped from UK. Established seller since 2000. [Wood Dale, IL, U.S.A.] [Publication Year: 2021]
ISBN10: 1108833411, ISBN13: 9781108833417, [publisher: CAMBRIDGE] Hardcover A rigorous yet accessible textbook covering both fundamental and advanced optimization topics. Covering both gradient-based and gradient-free algorithms, derivative computation, and numerous visualizations, examples and problems, it is ideal for graduate co. [Greven, Germany] [Publication Year: 2021]
ISBN10: 1108833411, ISBN13: 9781108833417, [publisher: Cambridge University Press, Cambridge] Hardcover Hardcover. Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also provides an overview of models and how to prepare them for use with numerical optimization, including derivative computation. Over 400 high-quality visualizations and numerous examples facilitate understanding of the theory, and practical tips address common issues encountered in practical engineering design optimization and how to address them. Numerous end-of-chapter homework problems, progressing in difficulty, help put knowledge into practice. Accompanied online by a solutions manual for instructors and source code for problems, this is ideal for a one- or two-semester graduate course on optimization in aerospace, civil, mechanical, electrical, and chemical engineering departments. A rigorous yet accessible textbook covering both fundamental and advanced optimization topics. Covering both gradient-based and gradient-free algorithms, derivative computation, and numerous visualizations, examples and problems, it is ideal for graduate c ...
ISBN10: 1108833411, ISBN13: 9781108833417, [publisher: Cambridge University Press] Hardcover Buy with confidence! Book is in new, never-used condition 3.42 [Amherst, NY, U.S.A.] [Publication Year: 2022]
ISBN10: 1108833411, ISBN13: 9781108833417, [publisher: Cambridge University Press, Cambridge] Hardcover Hardcover. Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also provides an overview of models and how to prepare them for use with numerical optimization, including derivative computation. Over 400 high-quality visualizations and numerous examples facilitate understanding of the theory, and practical tips address common issues encountered in practical engineering design optimization and how to address them. Numerous end-of-chapter homework problems, progressing in difficulty, help put knowledge into practice. Accompanied online by a solutions manual for instructors and source code for problems, this is ideal for a one- or two-semester graduate course on optimization in aerospace, civil, mechanical, electrical, and chemical engineering departments. A rigorous yet accessible textbook covering both fundamental and advanced optimization topics. Covering both gradient-based and gradient-free algorithms, derivative computation, and numerous visualizations, examples and problems, it is ideal for graduate c ...
ISBN10: 1108833411, ISBN13: 9781108833417, [publisher: CAMBRIDGE] Hardcover A rigorous yet accessible textbook covering both fundamental and advanced optimization topics. Covering both gradient-based and gradient-free algorithms, derivative computation, and numerous visualizations, examples and problems, it is ideal for graduate co. [Greven, Germany] [Publication Year: 2021]
ISBN10: 1108833411, ISBN13: 9781108833417, [publisher: Cambridge University Press] Hardcover Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting. [Hawthorne, CA, U.S.A.] [Publication Year: 2022]
ISBN10: 1108833411, ISBN13: 9781108833417, [publisher: Cambridge University Press, Cambridge] Hardcover Hardcover. Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also provides an overview of models and how to prepare them for use with numerical optimization, including derivative computation. Over 400 high-quality visualizations and numerous examples facilitate understanding of the theory, and practical tips address common issues encountered in practical engineering design optimization and how to address them. Numerous end-of-chapter homework problems, progressing in difficulty, help put knowledge into practice. Accompanied online by a solutions manual for instructors and source code for problems, this is ideal for a one- or two-semester graduate course on optimization in aerospace, civil, mechanical, electrical, and chemical engineering departments. A rigorous yet accessible textbook covering both fundamental and advanced optimization topics. Covering both gradient-based and gradient-free algorithms, derivative computation, and numerous visualizations, examples and problems, it is ideal for graduate c ...
ISBN10: 1108833411, ISBN13: 9781108833417, [publisher: Cambridge University Press] Hardcover New. Fast Shipping and good customer service [Fayetteville, TX, U.S.A.] [Publication Year: 2022]
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