Engineering Design Optimization
- Textbook
Description
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…
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Key features
- Hands on and applied applications related to aerospace, civil, mechanical, electrical, and chemical engineering.
- Multidisciplinary approach.
- Discusses the OpenMDAO framework an open-source high-performance computing platform for efficient optimization.
- Covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty.
- Includes over 400 high-quality visualizations and numerous examples.
- Provides numerous end-of-chapter homework problems, progressing from easier problems through to open-ended problems, with a solutions manual online for instructors.
About the book
- DOI https://doi.org/10.1017/9781108980647
- Subjects Aerospace Engineering,Control Systems and Optimisation,Engineering
- Format: Hardback
- Publication date: 20 January 2022
- ISBN: 9781108833417
- Dimensions (mm): 246 x 189 mm
- Weight: 1.55kg
- Page extent: 650 pages
- Availability: Temporarily unavailable - available from
- Format: Digital
- Publication date: 05 January 2022
- ISBN: 9781108980647
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