- We will send in 10–14 business days.
/images/books/3469292/9780444517883.jpg)
- Author: Enrique Castillo
- Publisher: Elsevier Science
- ISBN-10: 044451788X
- ISBN-13: 9780444517883
- Format: 16.7 x 23.5 x 2.1 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
The book provides the reader with the different types of functional equations that s/he can find in practice, showing, step by step, how they can be solved.
A general methodology for solving functional equations is provided in Chapter 2. The different types of functional equations are described and solved in Chapters 3 to 8. Many examples, coming from different fields, as geometry, science, engineering, economics, probability, statistics, etc, help the reader to change his/her mind in order to state problems as functional equations as an alternative to differential equations, and to state new problems in terms of functional equations or systems.
An interesting feature of the book is that it deals with functional networks, a powerful generalization of neural networks that allows solving many practical problems. The second part of the book, Chapters 9 to 13, is devoted to the applications of this important paradigm.
The book contains many examples and end of chapter exercises, that facilitates the understanding of the concepts and applications.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 22d.09:11:32
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Enrique Castillo
- Publisher: Elsevier Science
- ISBN-10: 044451788X
- ISBN-13: 9780444517883
- Format: 16.7 x 23.5 x 2.1 cm, kieti viršeliai
- Language: English English
The book provides the reader with the different types of functional equations that s/he can find in practice, showing, step by step, how they can be solved.
A general methodology for solving functional equations is provided in Chapter 2. The different types of functional equations are described and solved in Chapters 3 to 8. Many examples, coming from different fields, as geometry, science, engineering, economics, probability, statistics, etc, help the reader to change his/her mind in order to state problems as functional equations as an alternative to differential equations, and to state new problems in terms of functional equations or systems.
An interesting feature of the book is that it deals with functional networks, a powerful generalization of neural networks that allows solving many practical problems. The second part of the book, Chapters 9 to 13, is devoted to the applications of this important paradigm.
The book contains many examples and end of chapter exercises, that facilitates the understanding of the concepts and applications.
Reviews