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Multidisciplinary Design Optimization Supported By Knowledge Based Engineering
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Multidisciplinary Design Optimization Supported By Knowledge Based Engineering Supports Engineers Confronting This Daunting And New Design Paradigm. It Describes Methodology For Conducting A System Design In A Systematic And Rigorous Manner That Supports Human Creativity To Optimize The Design Objective(S) Subject To Constraints And Uncertainties. The Material Presented Builds On Decades Of Experience In Multidisciplinary Design Optimization (Mdo) Methods, Progress In Concurrent Computing, And Knowledge Based Engineering (Kbe) Tools.Key Features: Comprehensively Covers Mdo And Is The Only Book To Directly Link This With Kbe Methods Provides A Pathway Through Basic Optimization Methods To Mdo Methods Directly Links Design Optimization Methods To The Massively Concurrent Computing Technology Emphasizes Real World Engineering Design Practice In The Application Of Optimization Methodsmultidisciplinary Design Optimization Supported By Knowledge Based Engineering Is A Onestopshop Guide To The Stateoftheart Tools In The Mdo And Kbe Disciplines For Systems Design Engineers And Managers. Graduate Or Postgraduate Students Can Use It To Support Their Design Courses, And Researchers Or Developers Of Computeraided Design Methods Will Find It Useful As A Wideranging Reference.
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- Q: What is the page count of the book? A: This book contains four hundred pages. It provides a comprehensive overview of Multidisciplinary Design Optimization and Knowledge Based Engineering.
- Q: What are the dimensions of this book? A: The book measures six point eight one inches in length, one point one inches in width, and nine point eight inches in height. These dimensions make it a standard hardcover size.
- Q: Who is the author of the book? A: The author is Jaroslaw Sobieszczanski-Sobieski. He is well-known for his contributions to engineering and design optimization.
- Q: What is the binding type of this book? A: The book is a hardcover edition. This ensures durability and longevity for regular use.
- Q: What category does this book fall under? A: The book falls under the category of Drafting & Mechanical Drawing. It is targeted at engineers and design professionals.
- Q: How can I use this book for my studies? A: You can use this book as a reference for design courses. It covers essential methodologies for Multidisciplinary Design Optimization.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for both graduate and post-graduate students. It provides foundational knowledge as well as advanced techniques.
- Q: Can I use this book for research purposes? A: Yes, researchers will find this book useful as a comprehensive reference. It covers a wide range of topics related to design optimization.
- Q: How can I apply the principles from this book in practice? A: You can apply the principles by following the systematic methodologies outlined in the book. It emphasizes real-world engineering design practices.
- Q: What should I do if the book arrives damaged? A: If the book arrives damaged, contact the seller for return options. Most sellers will offer a replacement or refund.
- Q: What if I need assistance with the content of the book? A: If you need assistance, consider reaching out to academic forums or study groups focused on engineering design optimization. They can provide additional insights.
- Q: What is the warranty policy for this book? A: Typically, books do not come with a warranty. However, check with the seller for their return policy regarding damaged items.
- Q: Can I find other books by the same author? A: Yes, Jaroslaw Sobieszczanski-Sobieski has authored other works in the field of engineering. Look for his publications in engineering design optimization.
- Q: Are there any prerequisites to understand this book? A: Some familiarity with engineering concepts is beneficial. The book builds on existing knowledge in design optimization and engineering.
- Q: Does this book provide practical examples? A: Yes, the book includes practical examples that relate theory to real-world applications in design optimization. This helps reinforce learning.