Amazon.com: Computational Methods for Modeling of Nonlinear Systems, Volume 112 (Mathematics in Science and Engineering) (9780122695605): Anatoli Torokhti, Phil Howlett: Books

Buy Used
Used - Acceptable See details
$11.41 & eligible for FREE Super Saver Shipping on orders over $25. Details

or
Sign in to turn on 1-Click ordering.
 
   
Have one to sell? Sell yours here
Computational Methods for Modeling of Nonlinear Systems, Volume 112 (Mathematics in Science and Engineering)
 
 
Tell the Publisher!
I'd like to read this book on Kindle

Don't have a Kindle? Get your Kindle here, or download a FREE Kindle Reading App.

Computational Methods for Modeling of Nonlinear Systems, Volume 112 (Mathematics in Science and Engineering) [Hardcover]

Anatoli Torokhti (Author), Phil Howlett (Author)


Available from these sellers.


Textbook Student FREE Two-Day Shipping for students on millions of items. Learn more


Book Description

February 11, 1974 0122695607 978-0122695605 1
In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;
methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and
methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.

As a result, the book represents a blend of new methods in general computational analysis,
and specific, but also generic, techniques for study of systems theory ant its particular
branches, such as optimal filtering and information compression.

- Best operator approximation,
- Non-Lagrange interpolation,
- Generic Karhunen-Loeve transform
- Generalised low-rank matrix approximation
- Optimal data compression
- Optimal nonlinear filtering

Product Details

  • Hardcover: 322 pages
  • Publisher: Elsevier Science; 1 edition (February 11, 1974)
  • Language: English
  • ISBN-10: 0122695607
  • ISBN-13: 978-0122695605
  • Product Dimensions: 9 x 6 x 1 inches
  • Shipping Weight: 1.4 pounds
  • Amazon Best Sellers Rank: #6,420,780 in Books (See Top 100 in Books)

More About the Authors

Discover books, learn about writers, read author blogs, and more.

Customer Reviews


There are no customer reviews yet.
Video reviews
Video reviews
Amazon now allows customers to upload product video reviews. Use a webcam or video camera to record and upload reviews to Amazon.



Inside This Book (learn more)
Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
Search Inside This Book:

Tags Customers Associate with This Product

 (What's this?)
Click on a tag to find related items, discussions, and people.
 

Your tags: Add your first tag
 

Sell a Digital Version of This Book in the Kindle Store

If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store. Learn more

Customer Discussions

This product's forum
Discussion Replies Latest Post
No discussions yet

Ask questions, Share opinions, Gain insight
Start a new discussion
Topic:
First post:
Prompts for sign-in
 


Active discussions in related forums
Search Customer Discussions
Search all Amazon discussions
   
Related forums


Listmania!


Create a Listmania! list

So You'd Like to...


Create a guide


Look for Similar Items by Category


Look for Similar Items by Subject