Synopsis
Unlock practical methods for solving complex design problems with a clear, integrated approach.
The book presents a framework that combines graph representations, knowledge-based systems, and optimization techniques to help designers decompose, simplify, and solve parametric design problems. It uses a concrete automotive design example to show how to organize data, handle discrete and continuous decisions, and implement interactive workflows that streamline computation and analysis.
- Learn how to decompose large problems into manageable parts using graph-based problem simplification.
- See how knowledge-based systems can guide discrete choices and support later nonlinear programming.
- Understand the role of nonlinear programming and mixed integer programming in real-world design tasks.
- Explore practical implementation details, from modeling languages to solver workflows and interactive tooling.
Ideal for engineers and designers who want a practical, tool-leaning guide to parametric design and optimization.
Solving Parametric Design Problems: Requiring Configuration Choices can help readers of engineering design, systems optimization, and software-assisted problem solving apply these methods to real-world challenges.
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Solving Parametric Design Problems: Requiring Configuration Choices
Print on DemandSeller: Forgotten Books, London, United Kingdom
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Paperback. Condition: New. Print on Demand. This book explores innovative methods for solving complex engineering design challenges. It debuts novel frameworks that combine mathematical programming, knowledge-based systems and graph theory to help designers generate multiple high-quality solutions rapidly. The author demonstrates the problems caused by the high number of discrete and continuous variables that must be optimized, and the nonlinear and integer constraints that are often encountered in design tasks. The author presents algorithms that can be used to simplify complex design problems, as well as knowledge-based systems that can be used to determine the values of discrete variables. The book also discusses the use of mixed integer nonlinear programming to solve problems involving both discrete and continuous variables. By integrating these different algorithms, the author argues that design systems can be created that are more flexible, efficient, and user-friendly than traditional systems. These new systems can help designers to explore a wider range of design options and to make better decisions, leading to improved product designs. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781332282203_0
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Solving Parametric Design Problems Requiring Configuration Choices Classic Reprint
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781332282203
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Solving Parametric Design Problems Requiring Configuration Choices Classic Reprint
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781332282203
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Solving Parametric Design Problems: Requiring Configuration Choices (Classic Reprint)
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Paperback. Condition: Brand New. 33 pages. 9.00x6.00x0.08 inches. This item is printed on demand. Seller Inventory # zk1332282202
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