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martins j ning engineering design optimization 2022

Type:: E-books
Files:: 1
Size:: 13.8 MB
Uploaded On:: Feb. 13, 2023, 1:36 p.m.
Added By:: andryold1
Seeders:: 10
Leechers:: 1
Info Hash:: D31EB2BB1FF67AD7DB2821BD4F47B996BFC15EF6

Textbook in PDF format 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

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Martins J., Ning A. Engineering Design Optimization 2022.pdf 13.8 MB

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martins j ning engineering design optimization 2022

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