Books > Science & Mathematics > Mathematics > Optimization
|
Buy Now
Biologically Inspired Optimization Methods - An Introduction (Hardcover)
Loot Price: R3,483
Discovery Miles 34 830
|
|
Biologically Inspired Optimization Methods - An Introduction (Hardcover)
Expected to ship within 12 - 19 working days
|
The advent of rapid, reliable and cheap computing power over the
last decades has transformed many, if not most, fields of science
and engineering. The multidisciplinary field of optimization is no
exception. First of all, with fast computers, researchers and
engineers can apply classical optimization methods to problems of
larger and larger size. In addition, however, researchers have
developed a host of new optimization algorithms that operate in a
rather different way than the classical ones, and that allow
practitioners to attack optimization problems where the classical
methods are either not applicable or simply too costly (in terms of
time and other resources) to apply. This book is intended as a
course book for introductory courses in stochastic optimization
algorithms (in this book, the terms optimization method and
optimization algorithm will be used interchangeably), and it has
grown from a set of lectures notes used in courses, taught by the
author, at the international master programme Complex Adaptive
Systems at Chalmers University of Technology in Goteborg,
Sweden.Thus, a suitable audience for this book are third and
fourth-year engineering students, with a background in engineering
mathematics (analysis, algebra, and probability theory) as well as
some knowledge of computer programming.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
You might also like..
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.