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Applied Optimization: Formulation and Algorithms for Engineering Systems, by Ross Baldick
PDF Download Applied Optimization: Formulation and Algorithms for Engineering Systems, by Ross Baldick
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The starting point in the formulation of any numerical problem is to take an intuitive idea about the problem in question and to translate it into precise mathematical language. This book provides step-by-step descriptions of how to formulate numerical problems so that they can be solved by existing software. It examines various types of numerical problems and develops techniques for solving them. A number of engineering case studies are used to illustrate in detail the formulation process. The case studies motivate the development of efficient algorithms that involve, in some cases, transformation of the problem from its initial formulation into a more tractable form.
- Sales Rank: #1484029 in Books
- Published on: 2009-01-18
- Original language: English
- Number of items: 1
- Dimensions: 9.61" h x 1.57" w x 6.69" l, 2.21 pounds
- Binding: Paperback
- 792 pages
Review
'Applied Optimization is an excellent text for rigourously introducing graduate and advanced undergraduate engineers to non stochastic optimization. I also think it serves as an excellent reference for engineers in the field who need a clear introduction to this area of mathematics/operations research.' IEEE Control Systems Magazine
About the Author
ROSS BALDICK is a professor of electrical and computer engineering at the University of Texas at Austin. His current research involves optimization and economic theory applied to electric power system operations and the public policy and technical issues associated with electric transmission under deregulation. He is an associate editor of IEEE Transactions on Power Systems and the chairman of the System Economics Sub-Committee of the IEEE Power Engineering
Most helpful customer reviews
8 of 8 people found the following review helpful.
Helps you understand...
By Devendra Canchi
I came across this book recently when I was researching pricing mechanisms in deregulated electricity markets. Most of the books on optimization and numerical methods that I have studied focused on constructing algorithms for arbitrarily defined problems. Most of the time, the logic and the rationale are buried beneath the intimidating mathematical equations. This is one of such books where the authors do not shy from using elementary examples and simple English language to clarify fundamental concepts. Nowhere did I come across such easy-to-follow explanations supported by case-studies and examples as it was done in this book.
It would not take a genius to realize that in the real world constrained by time and computational power the perfect method is most often beyond the reach. Our world revolves around the so called "second best solutions". The "art" in optimization are formulation and approximation. For those of you, who intend to formulate, construct and solve optimization problems presented by the world around you (not just understand the theory), this book is a great asset. I know I benefited from it greatly.
5 of 5 people found the following review helpful.
"Optimization" and "Art of Optimization"
By Keyu Li
The book covers the most important topics in applied optimization. The main focus of this book is how to formulate and transform optimization problems so that they can be solved by well-developed software. This aim has been achieved magnificently and skillfully.
The most important problem in applied optimization, I believe, is problem formulation, that is to translate the intuitive ideas into rigorous mathematics. The book has done an excellent job in explaining the process of formulating an optimization problem. It provides step-by-step descriptions that are very helpful and useful. A lot of good examples and exercises are illustrated, which can be used as templates to formulate many real engineering problems with minor revisions.
The second major issue in applied optimization is to reformulate an original optimization problem to its standard form, so that it can be directly solved by known software. This part is tough because it involves a lot of mathematics. But the author succeeds to solve it in a magic way. Many abstract and complicated definitions and algorithms are visualized by beautiful and meaningful figures. The author also tries to avoid the unnecessary mathematics. Many theorems and proofs are deliberately rewritten to ease the understanding of this part.
Applied optimization has two sides: science and art. Most of the books in this field focus on the science side, but not so satisfactory in the art side. The book has done a very good job in balancing both sides. You can expect to obtain both "optimization" and "the art of optimization" from this book.
(Written by Chengtao Wen)
5 of 5 people found the following review helpful.
Does exactly what the title says
By Energy_Researcher
About me: I am a grad student (economics) and I model optimization problems regularly. This is an excellent book for anyone who wants to learn about Optimization and it's applications or for someone who is familiar with the theory of optimization, but wants to know more about particular algorithms. The theory is nicely built and problem formulation is excellent. The text itself is widely spaced and crisp to look at. Another advantage of this book is the extra material you can download from the author's website. It helps us to actually understand how to convert these formulations into code that can be solved by popular optimization software. All in all a 5/5
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