Author: Leon S. Lasdon Publisher: Courier Corporation ISBN: 0486143694 Category : Mathematics Languages : en Pages : 566
Book Description
Important text examines most significant algorithms for optimizing large systems and clarifying relations between optimization procedures. Much data appear as charts and graphs and will be highly valuable to readers in selecting a method and estimating computer time and cost in problem-solving. Initial chapter on linear and nonlinear programming presents all necessary background for subjects covered in rest of book. Second chapter illustrates how large-scale mathematical programs arise from real-world problems. Appendixes. List of Symbols.
Author: David M. Young Publisher: Courier Corporation ISBN: 0486153339 Category : Mathematics Languages : en Pages : 612
Book Description
Includes a review of matrix theory and iterative methods; successive overrelaxation (SOR) method and stationary modified SOR method for consistently ordered matrices; nonstationary methods; generalizations of SOR theory and variants of method; more. 1971 edition.
Author: Jagath Chandana Rajapakse Publisher: Springer ISBN: 3540399356 Category : Technology & Engineering Languages : en Pages : 487
Book Description
The field of neural information processing has two main objects: investigation into the functioning of biological neural networks and use of artificial neural networks to sol ve real world problems. Even before the reincarnation of the field of artificial neural networks in mid nineteen eighties, researchers have attempted to explore the engineering of human brain function. After the reincarnation, we have seen an emergence of a large number of neural network models and their successful applications to solve real world problems. This volume presents a collection of recent research and developments in the field of neural information processing. The book is organized in three Parts, i.e., (1) architectures, (2) learning algorithms, and (3) applications. Artificial neural networks consist of simple processing elements called neurons, which are connected by weights. The number of neurons and how they are connected to each other defines the architecture of a particular neural network. Part 1 of the book has nine chapters, demonstrating some of recent neural network architectures derived either to mimic aspects of human brain function or applied in some real world problems. Muresan provides a simple neural network model, based on spiking neurons that make use of shunting inhibition, which is capable of resisting small scale changes of stimulus. Hoshino and Zheng simulate a neural network of the auditory cortex to investigate neural basis for encoding and perception of vowel sounds.
Author: Leon S. Lasdon![Optimization Theory for Large Systems [by] Leon S. Lasdon PDF](https://books.google.com/books/content/images/frontcover/t9_eAQAACAAJ?fife=w80-h100)
Author: Leon S. Lasdon
Author: David M. Young
Author: Jagath Chandana Rajapakse
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Author: Michael Francis Sheehan