Global Optimization in Action

- List of figures

- List of tables

- Preface

Part One: Global optimization: a brief review

1.1. General problem statement and special model forms

1.2. Solution approaches

Part Two: Partition strategies in global optimization: the continuous and the Lipschitzian case

2.1. An introduction to partition algorithms

2.2. Convergence properties of adaptive partition algorithms

2.3. Partition algorithms on intervals

2.4. Partition algorithms on multidimensional intervals

2.5. Simplex partition strategies

2.6. Partition models on general convex and star sets

2.7. Partition strategies in general Lipschitz optimization

Part Three: Implementation aspects, algorithm modifications and stochastic extensions

3.1. Diagonally extended univariate algorithms for multidimensional global optimization

3.2. Estimations of Lipschitzian problem characteristics in global optimization

3.3. General Lipschitz optimization applying penalty multipliers

3.4. An implementation of a Lipschitzian global optimization procedure

3.5. Decision making under uncertainty: stochastic model forms

3.6. Adaptive stochastic optimization procedures

3.7. Estimation of noise-perturbed function values

Part Four: Applications

- Introductory notes

4.1. Nonlinear approximations: systems of equations and inequalities

4.2. Data classification (clustering) and related problems

4.3. Aggregation of negotiated expert opinions

4.4. Product (mixture) design

4.5. Globally optimized calibration of complex system models

4.6. Calibration model versions, illustrated by examples

4.7. Dynamic modelling of phosphorus release from sediments

4.8. Aquifer model calibration

4.9. Industrial wastewater management

4.10. Multiple source river pollution management

4.11. Lake eutrophication management

4.12. Risk management of accidental water pollution

- Some further research perspectives

- References

- Indexprocedures

3.7.

`Pinter's book can be recommended to each reader who needs a far-reaching survey of continuous and Lipschitz optimization. The book is distinguished by its vivid and informative style, the large number of areas that are touched, the lack of longwinded and overly sophisticated expositions, and the optimum balance between theory and practical applications.' Optima, 51 (1996)