One Global Optimization: A Brief Review. - 1. 1 General Problem Statement and Special Model Forms. - 1. 2 Solution Approaches. - 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 Methods on General Convex and Star Sets. - 2. 7 Partition Strategies in General Lipschitz Optimization. - Three Implementation Aspects Algorithm Modifications and Stochastic Extensions. - 3. 1 Diagonally Extended Univariate Algorithms for Multidimensional Global Optimization. - 3. 2 Estimation 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. - Four Applications. - 4. 1 Nonlinear Approximation: 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. - Afterword. - Some Further Research Perspectives. - References. Language: English