Introduction to Applied Optimization
Diwekar, Urmila.
Introduction to Applied Optimization [recurso electrónico] / by Urmila Diwekar. - XXVI, 292p. 100 illus. online resource. - Springer Optimization and Its Applications, 22 1931-6828 ; . - Springer Optimization and Its Applications, 22 .
Linear Programming -- Nonlinear Programming -- Discrete Optimization -- Optimization Under Uncertainty -- Multiobjective Optimization -- Optimal Control and Dynamic Optimization.
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.
9780387766355 99780387766355
10.1007/978-0-387-76635-5 doi
MATHEMATICS.
CHEMICAL ENGINEERING.
SYSTEMS THEORY.
MATHEMATICAL OPTIMIZATION.
ENGINEERING MATHEMATICS.
ECONOMICS.
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.
Introduction to Applied Optimization [recurso electrónico] / by Urmila Diwekar. - XXVI, 292p. 100 illus. online resource. - Springer Optimization and Its Applications, 22 1931-6828 ; . - Springer Optimization and Its Applications, 22 .
Linear Programming -- Nonlinear Programming -- Discrete Optimization -- Optimization Under Uncertainty -- Multiobjective Optimization -- Optimal Control and Dynamic Optimization.
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.
9780387766355 99780387766355
10.1007/978-0-387-76635-5 doi
MATHEMATICS.
CHEMICAL ENGINEERING.
SYSTEMS THEORY.
MATHEMATICAL OPTIMIZATION.
ENGINEERING MATHEMATICS.
ECONOMICS.
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.