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This text presents a multi-disciplined view of optimization, providing students and researchers with a thorough examination of algorithms, methods, and tools from diverse areas of optimization without introducing excessive theoretical detail. This second edition includes additional topics, including global optimization and a real-world case study using important concepts from each chapter. Key Features: Provides well-written self-contained chapters, including problem sets and exercises, making it ideal for the classroom setting; Introduces applied optimization to the hazardous waste blending problem; Explores linear programming, nonlinear programming, discrete optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control and stochastic optimal control; Includes an extensive bibliography at the end of each chapter and an index; GAMS files of case studies for Chapters 2, 3, 4, 5, and 7 are linked to http://www.springer.com/math/book/978-0-387-76634-8; Solutions manual available upon adoptions. Introduction to Applied Optimization is intended for advanced undergraduate and graduate students and will benefit scientists from diverse areas, including engineers.

Mathematics. --- Calculus of Variations and Optimal Control; Optimization. --- Industrial Chemistry/Chemical Engineering. --- Appl.Mathematics/Computational Methods of Engineering. --- Systems Theory, Control. --- Business/Management Science, general. --- Chemical engineering. --- Systems theory. --- Mathematical optimization. --- Engineering mathematics. --- Economics. --- Mathématiques --- Génie chimique --- Optimisation mathématique --- Mathématiques de l'ingénieur --- Economie politique --- Convex programming. --- Finance -- Mathematical models. --- Finite element method. --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Operations Research --- Programming (Mathematics) --- Mathematical programming --- Goal programming --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Business. --- Management science. --- System theory. --- Calculus of variations. --- Applied mathematics. --- Optimization. --- Business and Management, general. --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Algorithms --- Functional equations --- Mathematical optimization --- Mathematical and Computational Engineering. --- Trade --- Economics --- Management --- Commerce --- Industrial management --- Engineering --- Engineering analysis --- Chemistry, Industrial --- Engineering, Chemical --- Industrial chemistry --- Chemistry, Technical --- Metallurgy --- Systems, Theory of --- Systems science --- Science --- Mathematics --- Philosophy --- Mathematical models. --- Isoperimetrical problems --- Variations, Calculus of --- Quantitative business analysis --- Problem solving --- Statistical decision