Hakutulokset: Sarja APPLIED OPTIMIZATION
yhteensä 184 hakutulosta
Lagrange-type Functions in Constrained Non-Convex Optimization
Lagrange and penalty function methods provide a powerful approach, both as a theoretical tool and a computational vehicle, for the study of constrained optimization problems. …
Computational Complexity and Feasibility of Data Processing and Interval Computations
Targeted audience • Specialists in numerical computations, especially in numerical optimiza tion, who are interested in designing algorithms with automatie result ver ification, …
Design Considerations of Time in Fuzzy Systems
Fuzzy theory is an interesting name for a method that has been highly effective in a wide variety of significant, real-world applications. A few examples make this readily …
Modeling Languages in Mathematical Optimization
This book deals with the aspects of modeling and solving real-world optimiza- tion problems in a unique combination. It treats systematically the major mod- eling languages and …
Nonlinear Optimization and Related Topics
This volume contains the edited texts of the lectures presented at the Workshop on Nonlinear Optimization held in Erice, Sicily, at the "G. Stampacchia" School of Mathematics of …
Trends in Industrial and Applied Mathematics
An important objective of the study of mathematics is to analyze and visualize phenomena of nature and real world problems for its proper understanding. Gradually, it is also …
Large-scale Optimization
Decomposition methods aim to reduce large-scale problems to simpler problems. This monograph presents selected aspects of the dimension-reduction problem. Exact and approximate …
Aggregation in Large-Scale Optimization
When analyzing systems with a large number of parameters, the dimen sion of the original system may present insurmountable difficulties for the analysis. It may then be convenient …
Parallel Computing in Optimization
During the last three decades, breakthroughs in computer technology have made a tremendous impact on optimization. In particular, parallel computing has made it possible to solve …
Filter Design With Time Domain Mask Constraints: Theory and Applications
Optimum envelope-constrained filter design is concerned with time-domain synthesis of a filter such that its response to a specific input signal stays within prescribed upper and …
Quasiconvex Optimization and Location Theory
grams of which the objective is given by the ratio of a convex by a positive (over a convex domain) concave function. As observed by Sniedovich (Ref. [102, 103]) most of the …
Multi-Criteria Decision Analysis via Ratio and Difference Judgement
The point of departure in the present book is that the decision makers, involved in the evaluation of alternatives under conflicting criteria, express their preferential judgement …