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Nonlinear and Mixed-Integer Optimization: Fundamentals and Applications (Topics in Chemical Engineering)

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Filling a void in chemical engineering and optimization literature this book presents the theory and methods for nonlinear and mixed-integer optimization and their applications in the important area of process synthesis. Other topics include modeling issues in process synthesis and optimization-based approaches in the synthesis of heat recovery systems distillation-based systems and reactor-based systems. The basics of convex analysis and nonlinear optimization are also covered and the elementary concepts of mixed-integer linear optimization are introduced. All chapters have several illustrations and geometrical interpretations of the material as well as suggested problems. Nonlinear and Mixed-Integer Optimization will prove to be an invaluable source--either as a textbook or a reference--for researchers and graduate students interested in continuous and discrete nonlinear optimization issues in engineering design process synthesis process operations applied mathematics operations research industrial management and systems engineering.