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{ "item_title" : "Principles of Optimal Design", "item_author" : [" Panos Y. Papalambros", "Douglass J. Wilde "], "item_description" : "Design optimization is a standard concept in engineering design, and in other disciplines which utilize mathematical decision-making methods. This textbook focuses on the close relationship between a design problem's mathematical model and the solution-driven methods which optimize it. Along with extensive material on modeling problems, this book also features useful techniques for checking whether a model is suitable for computational treatment. Throughout, key concepts are discussed in the context of why and when a particular algorithm may be successful, and a large number of examples demonstrate the theory or method right after it is presented. This book also contains step-by-step instructions for executing a design optimization project - from building the problem statement to interpreting the computer results. All chapters contain exercises from which instructors can easily build quizzes, and a chapter on 'principles and practice' offers the reader tips and guidance based on the authors' vast research and instruction experience.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/10/713/267/1107132673_b.jpg", "price_data" : { "retail_price" : "95.00", "online_price" : "95.00", "our_price" : "95.00", "club_price" : "95.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Principles of Optimal Design|Panos Y. Papalambros

Principles of Optimal Design

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Overview

Design optimization is a standard concept in engineering design, and in other disciplines which utilize mathematical decision-making methods. This textbook focuses on the close relationship between a design problem's mathematical model and the solution-driven methods which optimize it. Along with extensive material on modeling problems, this book also features useful techniques for checking whether a model is suitable for computational treatment. Throughout, key concepts are discussed in the context of why and when a particular algorithm may be successful, and a large number of examples demonstrate the theory or method right after it is presented. This book also contains step-by-step instructions for executing a design optimization project - from building the problem statement to interpreting the computer results. All chapters contain exercises from which instructors can easily build quizzes, and a chapter on 'principles and practice' offers the reader tips and guidance based on the authors' vast research and instruction experience.

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Details

  • ISBN-13: 9781107132672
  • ISBN-10: 1107132673
  • Publisher: Cambridge University Press
  • Publish Date: January 2017
  • Dimensions: 10.14 x 7.59 x 1.19 inches
  • Shipping Weight: 2.78 pounds
  • Page Count: 504

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