Engineering Optimization: An Introduction with Metaheuristic Applications
Product ID: 803647754
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Engineering Optimization: An Introduction with Metaheuristic Applications eBook : Yang, Xin-She: desertcart.co.uk: Books Review: This is a good introduction to optimization for those who have not been exposed to the material before. The author makes the material enjoyable, but it lacks proofs and other in-depth descriptions that students of optimization theory would need. Nevertheless, there are plenty of examples to help undestand the concept. The problem I had is with the Kindle version. The are several chapters in which the formulas are located at the incorrect places. You can figure it out, but this makes it very painful to read. This is the second time I have problems with a book in Kindle format. The oter issue I hade with this book is its index: It is very siple and makes it difficult to fine a particular subject. The kindle version has the advantage that you can search, but again, its format is defective. Overall, I recommend this book as a fairly good introduction for engineers to optimization. Review: I am very happy to have this "optimally designed" book for a learner. It describes the optmization theories and formulas with few steps and supported by easy to understand worked examples. One does not have to sift through pages after pages of this book only to understand the core matters. As an optimization instructor i am attracted by the style of writing and how easy it is to communicate students through such texts with minimum number of pages delivering maximum amount of knowledge.
| ASIN | B005C73ZOE |
| Accessibility | Learn more |
| Customer reviews | 4.4 4.4 out of 5 stars (3) |
| Edition | 1st |
| Enhanced typesetting | Enabled |
| File size | 8.3 MB |
| ISBN-13 | 978-1118125724 |
| Language | English |
| Page Flip | Enabled |
| Print length | 479 pages |
| Publication date | 10 Jun. 2011 |
| Publisher | Wiley |
| Screen Reader | Supported |
| Word Wise | Not Enabled |
| X-Ray | Not Enabled |
T**Y
This is a good introduction to optimization for those who have not been exposed to the material before. The author makes the material enjoyable, but it lacks proofs and other in-depth descriptions that students of optimization theory would need. Nevertheless, there are plenty of examples to help undestand the concept. The problem I had is with the Kindle version. The are several chapters in which the formulas are located at the incorrect places. You can figure it out, but this makes it very painful to read. This is the second time I have problems with a book in Kindle format. The oter issue I hade with this book is its index: It is very siple and makes it difficult to fine a particular subject. The kindle version has the advantage that you can search, but again, its format is defective. Overall, I recommend this book as a fairly good introduction for engineers to optimization.
M**S
I am very happy to have this "optimally designed" book for a learner. It describes the optmization theories and formulas with few steps and supported by easy to understand worked examples. One does not have to sift through pages after pages of this book only to understand the core matters. As an optimization instructor i am attracted by the style of writing and how easy it is to communicate students through such texts with minimum number of pages delivering maximum amount of knowledge.
A**S
Just what I expected.
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