Industrial-Sized Deals Shop all Back to School Shop Women's Handbags Learn more nav_sap_plcc_6M_fly_beacon Deradoorian $5 Off Fire TV Stick Grocery Shop Popular Services pivdl pivdl pivdl  Amazon Echo Starting at $99 Kindle Voyage Nintendo Digital Games Gear Up for Football Baby Sale
  • List Price: $145.00
  • Save: $102.28 (71%)
Rented from RentU
To Rent, select Shipping State from options above
Due Date: Dec 19, 2015
FREE return shipping at the end of the semester. Access codes and supplements are not guaranteed with rentals.
Condition: Used: Good
Comment: Fast shipping from Amazon! Qualifies for Prime Shipping and FREE standard shipping for orders over $35. Overnight, 2 day and International shipping available! Excellent Customer Service.. May not include supplements such as CD, access code or DVD.
Access codes and supplements are not guaranteed with used items.
Qty:1
  • List Price: $145.00
  • Save: $44.27 (31%)
In Stock.
Ships from and sold by Amazon.com.
Gift-wrap available.
Applied Optimization with... has been added to your Cart
Sell yours for a Gift Card
We'll buy it for $20.05
Learn More
Trade in now
Have one to sell? Sell on Amazon
Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more
See all 3 images

Applied Optimization with MATLAB Programming Hardcover – March 23, 2009

8 customer reviews
ISBN-13: 978-0470084885 ISBN-10: 047008488X Edition: 2nd

Buy New
Price: $100.73
Rent
Price: $42.72
39 New from $90.00 20 Used from $81.50
Rent from Amazon Price New from Used from
Hardcover
"Please retry"
$42.72
$100.73
$90.00 $81.50
Paperback
"Please retry"
Free Two-Day Shipping for College Students with Amazon Student Free%20Two-Day%20Shipping%20for%20College%20Students%20with%20Amazon%20Student


InterDesign Brand Store Awareness Rent Textbooks
$100.73 FREE Shipping. In Stock. Ships from and sold by Amazon.com. Gift-wrap available.

Frequently Bought Together

Applied Optimization with MATLAB Programming + Engineering Optimization: Theory and Practice
Price for both: $236.19

Buy the selected items together

Editorial Reviews

From the Back Cover

A new approach to learning classical optimization methods–numerical techniques modeled and illustrated via MATLAB

This unique and timely volume combines a formal presentation of classical methods of design optimization with detailed instruction in the application of these methods using MATLAB. It introduces readers to the symbolic, numerical, and graphic features of MATLAB and integrates this powerful combination in the translation of many algorithms into applied optimization techniques with animation.

Applied Optimization with MATLAB® Programming develops all necessary mathematical concepts, illustrates abstract mathematical ideas of optimization using MATLAB’s rich graphics features, and introduces new programming skills incrementally as optimization concepts are presented. This valuable learning tool:

  • Focuses on real-world optimization techniques
  • Covers all areas of optimization, including linear, nonlinear, discrete, and global
  • Includes creative examples from many disciplines
  • Presents a number of practical, open-ended design problems
  • Features an accompanying Web site with MATLAB code for all the numerical techniques and examples in the book

This one-of-a-kind resource enables senior-undergraduate and graduate students in engineering and other design disciplines to develop practical programming skills as they master the concepts of optimization. It is also an excellent self-teaching guide for design engineers in all fields of endeavor.

--This text refers to an alternate Hardcover edition.

About the Author

P. Venkataraman, PhD, is an associate professor in the Mechanical Engineering Department, Rochester Institute of Technology, Rochester, New York.

NO_CONTENT_IN_FEATURE

China
Engineering & Transportation Books
Discover books for all types of engineers, auto enthusiasts, and much more. Learn more

Product Details

  • Hardcover: 544 pages
  • Publisher: Wiley; 2 edition (March 23, 2009)
  • Language: English
  • ISBN-10: 047008488X
  • ISBN-13: 978-0470084885
  • Product Dimensions: 6.4 x 1.3 x 9.5 inches
  • Shipping Weight: 1.9 pounds (View shipping rates and policies)
  • Average Customer Review: 3.6 out of 5 stars  See all reviews (8 customer reviews)
  • Amazon Best Sellers Rank: #982,232 in Books (See Top 100 in Books)

More About the Author

P. Venkataraman graduated from the Indian Institute of Technology at Kanpur in India in 1974. He worked for several years at the Hindustan Aeronautics Limited in the Helicopter Division. He continued graduate studies at Rice University and obtained his PhD in 1984.

Since then he has been at the Rochester Institute of Technology in the department of mechanical engineering, insisting his students use MATLAB, whatever the course maybe.

His current interests include optimization, Bezier curves, Carnatic music, and mathematics inspired digital art. You can learn more by visiting his site at:

people.rit.edu/pnveme

Customer Reviews

Most Helpful Customer Reviews

5 of 5 people found the following review helpful By A. N. Bajwa on January 18, 2012
Format: Hardcover Verified Purchase
I have used this book for my graduate course on NLP. One thing should be clear that this book is not an extensive text on optimization but it covers a lot of aspects of optimization. The main contribution of this book is that it teaches you how to use MATLAB for optimization, and it does an excellent job. For those of you who need to develop codes for solving NLP, it will make your life a lot easier. One of the review gives example of a 'bad code'. It is true and I would agree to this, however the codes are working well and are explained very well in the text. I have picked up quite a few of these and have fine tuned them for my applications. the modular structure of the codes is helpful and you can pick sub routines and use them in your coding. While using these codes I learned a lot on using matlab for optimization. simply put its worth it !
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
4 of 4 people found the following review helpful By ShadabK on March 4, 2013
Format: Hardcover Verified Purchase
I used this book for a course and the breadth of coverage of Applied Optimization topics is pretty good. The book talks about majority of algorithms and even provides MATLAB code.

Please keep in mind that this is an 'Applied' Optimization text, so if you're expecting rigorous bound proofs, look elsewhere, for example Linear Programming by Bertsekas or Nonlinear Programming by Bertsimas.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
16 of 22 people found the following review helpful By A Customer on January 3, 2002
Format: Hardcover
In this text the author chooses MATLAB as the tool in running computer-based optimization problems. This approach clearly covers all levels of optimization, and the book further supports this coverage through many helpful examples that balance theory with the application. The open-ended problems that are provided are a helpful mechanism for reinforcing the lessons of the text. The website that is a companion to the book, helped me access the reference links to the MATLAB software and the author's own personal site. This web site is a true lifeline to the book.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again
6 of 8 people found the following review helpful By Eric on December 23, 2010
Format: Hardcover
This book skips on some key details. For example, the linesearch methods for unconstrained minimization problems is left to a couple poorly-documented Matlab functions. Some discussion of linesearch methods should be considered in the text.

Secondly, the Matlab code is terrible. Consider lines 48-52 of UpperBound_nVar.m:

48: for i = 1:ntrials;
49: j = 0; dela = j*das; a00 = a0 + dela;
50: dx0 = a00*s; x0 = x + dx0; f0 = feval(functname,x0);
51: j = j+1; dela = j*das; a01 = a0 + dela;
52: dx1 = a01*s; x1 = x + dx1; f1 = feval(functname,x1);

Each iteration through the loop, j is initialized to 0. So dela is 0 and a00 = a0. These variables are not used elsewhere. So lines 49-52 could be simply replaced by

x0 = x + a0*s;
x1 = x + (a0 + das)*s
f0 = feval(functname, x + x0);
f1 = feval(functname, x + x1);

This is considerably easier to read than the author's code (4 assignment operations compared to 12). The variables j, dela, a00, dx0, a01, and dx1 never need to be created. Creating these variables makes the algorithm, which is not documented in the text, nearly intractable to read without converting to decent code. My guess is the author translated some ancient Fortran code into Matlab without taking the time to clean it up.

So to summarize:
1. This book skimps on details pertaining to the algorithms it has code for.
2. The code is hard to follow because of the author's programming style.

This book might be useful if you're looking for canned algorithms, but I would first check the Matlab File Exchange. This book is not useful for learning the details of how to implement these algorithms.
Comment Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback. If this review is inappropriate, please let us know.
Sorry, we failed to record your vote. Please try again

Set up an Amazon Giveaway

Amazon Giveaway allows you to run promotional giveaways in order to create buzz, reward your audience, and attract new followers and customers. Learn more
Applied Optimization with MATLAB Programming
This item: Applied Optimization with MATLAB Programming
Price: $100.73
Ships from and sold by Amazon.com

Want to discover more products? Check out this page to see more: machine learning