Applied Optimization with MATLAB Programming

Book Description

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.

Customer Reviews:

worst ever!!!.......2004-01-29

I've had Dr. Venkat as a professor for 3 classes at RIT and he is by far the worst I have ever had. DO NOT BUY HIS BOOK! It will only make you dumber! That is how I feel after coming out of his class. I believe the reviewer that says the website is a main resource, he points us to the class site all the time with no helpful information, and because he can't answer the questions himself on the spot. Are you buying a book or a website? I think that's all the helpful information I have for now.

How to learn and use MATLAB quickly!.......2002-11-03

Excellent source for all people who don't have time to study MATLAB in-depth. A lot of useful examples help anyone to create his/her own code in no time!

Great self teaching tool.......2002-01-03

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.

Data Structures and Algorithms with Object-Oriented Design Patterns in Java (Worldwide Series in Computer Science)

Average customer rating:

Terribly written
Average and TOO much mathematics
Not so much in quality
I used this book at school
decent for soft eng, bad for data structures

Data Structures and Algorithms with Object-Oriented Design Patterns in Java (Worldwide Series in Computer Science)
Bruno R. Preiss
Manufacturer: Wiley
ProductGroup: Book
Binding: Hardcover

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ASIN: 0471346136

Book Description

Create sound software designs with data structures that use modern object-oriented design patterns! Author Bruno Preiss presents the fundamentals of data structures and algorithms from a modern, object-oriented perspective. The text promotes object-oriented design using Java and illustrates the use of the latest object-oriented design patterns. Virtually all the data structures are discussed in the context of a single class hierarchy. This framework clearly shows the relationships between data structures and illustrates how polymorphism and inheritance can be used effectively. Key Features of the Text
* All data structures are presented using a common framework. This shows the relationship between the data structures and how they are implemented.
* Object-oriented design patterns are used to demonstrate how a good design fits together and transcends the problem at hand.
* A single Java software design is used throughout the text to provide a better understanding of the operation of complicated data structures.
* Just-in-time presentation of mathematical analysis techniques introduces students to mathematical concepts as needed.
Visit the Text's Web Site A comprehensive web site is available for users of the text at www.wiley.com/college/preiss. The site includes:
* The Web Book (a hypertext version of the complete book)
* Links to the Java Source Code (all the program examples from the text)
* Opus5 Package (a Java package comprised of all the source code from the text)
* Documentation (source code documentation)
* Demo Applets (various Java applets that illustrate data structures and algorithms from the text)
* Archive (JAR format archive of the source code from the text)
* Front Matter (table of contents and preface)
* Solutions Manual (password required)
* Errata

Customer Reviews:

Terribly written.......2005-01-30

I have taken several math and computer programming courses. This it the worst book I have ever been forced used. I had a hard time recalling some of the math that is used immediately, the explanations are terrible to say the least. I tried for hours to figure it out using just that book. When I got home I found a different reference and had it figure out in one minutes. So basically the problems I am assigned I have to learn from another source to do... that shouldn't be. Find another author that cares if he makes sense or not, one that doesn't assume you will understand it regardless of how it is explained.... "such is higher education these days" I wish I could slap that guy.

Average and TOO much mathematics.......2004-09-07

The initial sections of the book focus on too much mathematical formula without providing plain English examples especially in the asymptotic analysis sections. Isn't there a book out there which explains in plain simple English? It also uses misleading terms like "external nodes" and "internal nodes" when it comes to trees. I wouldn't recommend this book. (I'm only using it because it is the university text, now I wish I had my money back)

Not so much in quality.......2002-12-18

I know this book is used as a textbook in some computer engineering courses at my school. However, I do not belong to engineering, but I am a computer science undergraduate. :-) I've tried to help my friends who were having a lot of trouble implementing a binary tree. So to follow what they learned, I've looked at the book. Hmm. I sat there, and said "I'm lucky that my profs don't teach me algorithms like this." Some implementations did not make quite intuitive sense to me. Although I understood what the book was trying to illustrate, but I didn't see why such implementation would be intuitive and useful.

I used this book at school.......2001-04-13

Hi, as an undergrad engineering student, I had this book for the coursebook in my algorithms course. Honestly speaking, it's good , very readable text. I never used any of the code examples fom the book in my assignments, yet they proved rather helpfull in understanding the material. Something, that I think is missing from this book is the answeres to the problems at the end of the chapter that are not programming projects. Ading them to the book could help students a lot ( no need to relay on TA's )

decent for soft eng, bad for data structures.......2001-03-21

As a second year student, the use of design patterns (see chapter 5) bothers me. It really detracts from what the author is trying to convey. It's extremely hard to ignore them because you have to backtrack to previous chapters frequently which creates more confusion.

This book may be useful to learn the basics of software engineering. But given complexity of the design patterns in this book, it could be glossed over in one lecture.

Book Description

Upper-level undergraduates and graduate students will benefit from this treatment of discrete optimization algorithms, which covers linear and integer programming. It offers ready-to-use computer programs, together with their derivation and performance characteristics. Subjects include packing and covering, optimization on networks, and coloring and scheduling. 1983 edition.

Learning and Generalization: With Applications to Neural Networks

Average customer rating:

Learning and Generalization: With Applications to Neural Networks
Mathukumalli Vidyasagar
Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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Pattern Recognition and Machine Learning (Information Science and Statistics)

ASIN: 1852333731

Book Description

Learning and Generalization provides a formal mathematical theory for addressing intuitive questions such as:

â€¢ How does a machine learn a new concept on the basis of examples?

â€¢ How can a neural network, after sufficient training, correctly predict the outcome of a previously unseen input?

â€¢ How much training is required to achieve a specified level of accuracy in the prediction?

â€¢ How can one identify the dynamical behaviour of a nonlinear control system by observing its input-output behaviour over a finite interval of time?

In its successful first edition, A Theory of Learning and Generalization was the first book to treat the problem of machine learning in conjunction with the theory of empirical processes, the latter being a well-established branch of probability theory. The treatment of both topics side-by-side leads to new insights, as well as to new results in both topics.

This second edition extends and improves upon this material, covering new areas including:

â€¢ Support vector machines.

â€¢ Fat-shattering dimensions and applications to neural network learning.

â€¢ Learning with dependent samples generated by a beta-mixing process.

â€¢ Connections between system identification and learning theory.

â€¢ Probabilistic solution of 'intractable problems' in robust control and matrix theory using randomized algorithm.

Reflecting advancements in the field, solutions to some of the open problems posed in the first edition are presented, while new open problems have been added.

Learning and Generalization (second edition) is essential reading for control and system theorists, neural network researchers, theoretical computer scientists and probabilist.

Coding for Channels with Feedback (The International Series in Engineering and Computer Science)

Average customer rating:

Amazing
Sure to be a family classic
Utterly brilliant! This book is sure to become a classic!
An outstanding, unifying theoretical exposition

Coding for Channels with Feedback (The International Series in Engineering and Computer Science)
James M. Ooi
Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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ASIN: 0792382072

Book Description

Coding for Channels with Feedback presents both algorithms for feedback coding and performance analyses of these algorithms, including analyses of perhaps the most important performance criterion: computational complexity. The algorithms are developed within a single framework, termed the compressed-error-cancellation framework, where data are sent via a sequence of messages: the first message contains the original data; each subsequent message contains a source-coded description of the channel distortions introduced on the message preceding it.
Coding for Channels with Feedback provides an easily understood and flexible framework for deriving low-complexity, practical solutions to a wide variety of feedback communication problems. It is shown that the compressed-error-cancellation framework leads to coding schemes with the lowest possible asymptotic order of growth of computations and can be applied to discrete memoryless channels, finite state channels, channels with memory, unknown channels, and multiple-access channels, all with complete noiseless feedback, as well as to channels with partial and noisy feedback. This framework leads to coding strategies that have linear complexity and are capacity achieving, and illustrates the intimate connection between source coding theory and channel coding theory.
Coding for Channels with Feedback is an excellent reference for researchers and communication engineers in the field of information theory, and can be used for advanced courses on the topic.

Customer Reviews:

Amazing.......2004-01-04

This book was an inspiration. Dr. Ooi is a genius. I would recommend this book to anyone, who would like to enlighten themselves with knowledge of channel with feedback. Every college campus should own one.

Sure to be a family classic.......1999-08-20

"The Bible of channel feedback!" Dr Ooi has a keen understanding of the human condition and how it related to error correction and compression. I believe "James" has mastered communication without actually using any words from the english language!

Utterly brilliant! This book is sure to become a classic!.......1998-12-29

With a crisp and cogent style, the author sets forth a new mathematical framework that can be used to develop and analyze coding schemes that use receiver feedback. We have already used certain concepts described in the text to design an improved version of our company's current microwave communication technology. This book is a must-buy for anyone involved in communication systems or in the practical application of information theoretic principles. This will surely place Dr. Ooi in a class with Shannon, Fano, Gallager, Wyner, Ziv, and the other intellectual giants in the field!

An outstanding, unifying theoretical exposition.......1998-10-08

Dr. Ooi (of The Cambridge Analytic Group) provides an inspiring framework for analyzing and designing coding methodoligies for channels with feedback. His technical writing is of the highest caliber and the generality of his approach naturally unifies topics which had previously been deemed unrelated. This is an essential text for any professional or student interested in practical or theoretical coding.

Average customer rating:

Discrete Mathematics With Algorithms
Michael O. Albertson , and Joan P. Hutchinson
Manufacturer: John Wiley & Sons
ProductGroup: Book
Binding: Hardcover

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ASIN: 0471849022

Book Description

This first-year course in discrete mathematics requires no calculus or computer programming experience. The approach stresses finding efficient algorithms, rather than existential results. Provides an introduction to constructing proofs (especially by induction), and an introduction to algorithmic problem-solving. All algorithms are presented in English, in a format compatible with the Pascal programming language. Contains many exercises, with answers at the back of the book (detailed solutions being supplied for difficult problems).

Fun with Algorithms: 4th International Conference, FUN 2007, Castiglioncello, Italy, June 3-5, 2007, Proceedings (Lecture Notes in Computer Science)

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Fun with Algorithms: 4th International Conference, FUN 2007, Castiglioncello, Italy, June 3-5, 2007, Proceedings (Lecture Notes in Computer Science)

Manufacturer: Springer
ProductGroup: Book
Binding: Paperback

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Book Description

This book constitutes the refereed proceedings of the 4th International Conference on Fun with Algorithms, FUN 2007, held in Castiglioncello, Italy in June 2007, co-located with the 14th International Colloquium on Structural Information and Communication Complexity (SIROCCO 2007).

The 20 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 41 submissions. The papers are dedicated to the use, design, and analysis of algorithms and data structures, focusing on results that provide amusing, witty but nonetheless original and scientifically profound contributions to the area.

Graph Separators, with Applications (Frontiers in Computer Science)

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Graph Separators, with Applications (Frontiers in Computer Science)
Arnold L. Rosenberg
Manufacturer: Plenum Press
ProductGroup: Book
Binding: Hardcover

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ASIN: 0306464640

Book Description

Graph Separators with Applications is devoted to techniques for obtaining upper and lower bounds on the sizes of graph separators - upper bounds being obtained via decomposition algorithms. The book surveys the main approaches to obtaining good graph separations, while the main focus of the book is on techniques for deriving lower bounds on the sizes of graph separators. This asymmetry in focus reflects our perception that the work on upper bounds, or algorithms, for graph separation is much better represented in the standard theory literature than is the work on lower bounds, which we perceive as being much more scattered throughout the literature on application areas. Given the multitude of notions of graph separator that have been developed and studied over the past (roughly) three decades, there is a need for a central, theory-oriented repository for the mass of results. The need is absolutely critical in the area of lower-bound techniques for graph separators, since these techniques have virtually never appeared in articles having the word `separator' or any of its near-synonyms in the title. Graph Separators with Applications fills this need.

Average customer rating:

Discrete Mathematics with Algorithms.

Manufacturer: 0
ProductGroup: Book
Binding: Hardcover
ASIN: B000IBHEM8

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