Introduction to Unconstrained Optimisation
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A01=D Meegan
A01=D Sprevak
A01=J McKeown
algorithmic problem solving
applied operational research
Author_D Meegan
Author_D Sprevak
Author_J McKeown
Bracketing Interval
Camel Back Function
Category=PBW
Category=UY
computational mathematics
DFP Method
Direct Search Methods
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eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fibonacci Search
Gauss Newton Algorithm
Generating Search Directions
Golden Section Search
Gradient Vector
Hessian Matrix
Inexact Line Searches
Initial Search Direction
Line Searches
Local Minimum
Modified Gauss Newton Method
Newton's Method
Newton’s Method
numerical optimization techniques
optimization algorithms for engineering
Quadratic Function
Quadratic Search
quantitative analysis methods
Rosenbrock's Function
Rosenbrock’s Function
Saddle Point
scientific computing exercises
Search Direction
Simplex Method
Steepest Descent
Steepest Descent Algorithm
Univariate Search
Product details
- ISBN 9780750300254
- Weight: 204g
- Dimensions: 148 x 210mm
- Publication Date: 01 Jan 1990
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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Integrating computer graphics and computer-based exercises with the text, An Introduction to Unconstrained Optimisation illustrates key methods with many examples and exercises using the computer. The book takes an elementary approach to this advanced topic, allowing readers to concentrate on learning and understanding the concepts of numerical optimization without unnecessary involvement in the intricacies of the subject. In addition, the modular approach of the software provides the opportunity to explore the algorithms used and to develop them further or try alternative approaches.
Most of the algorithms are based upon a "hill-climbing" concept which, in two dimensions, is illustrated dynamically on the computer screen in the form of contour plots and search directions. The text is not specific to any particular microcomputer. Software is available for the BBC series of machines (40/80 track disc formats) and PC-compatible machines. The software is not available from your local bookstore, but is easily obtainable using the order form in the book.
Keeping proofs and lists of methods to a minimum, the book is at a level suitable for a first course in numerical analysis, with a basic knowledge of calculus and vector algebra assumed. This book/software package will be of interest to professionals, teachers, and undergraduate students in mathematics, operational research, science, and engineering as well as economics and management courses that deal with quantitative methods.
J McKeown (Queen's University of Belfast, N. Ireland) (Author) , D Meegan (Queen's University of Belfast, N. Ireland) (Author) , D Sprevak (Queen's University of Belfast, N. Ireland) (Author)
