Optimization Theory


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Optimization—Theory and Practice


Optimization—Theory and Practice

Author: Wilhelm Forst

language: en

Publisher: Springer Science & Business Media

Release Date: 2010-07-26


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Optimization is a field important in its own right but is also integral to numerous applied sciences, including operations research, management science, economics, finance and all branches of mathematics-oriented engineering. Constrained optimization models are one of the most widely used mathematical models in operations research and management science. This book gives a modern and well-balanced presentation of the subject, focusing on theory but also including algorithims and examples from various real-world applications. Detailed examples and counter-examples are provided--as are exercises, solutions and helpful hints, and Matlab/Maple supplements.

Optimization Theory for Large Systems


Optimization Theory for Large Systems

Author: Leon S. Lasdon

language: en

Publisher: Courier Corporation

Release Date: 2013-01-17


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Important text examines most significant algorithms for optimizing large systems and clarifying relations between optimization procedures. Much data appear as charts and graphs and will be highly valuable to readers in selecting a method and estimating computer time and cost in problem-solving. Initial chapter on linear and nonlinear programming presents all necessary background for subjects covered in rest of book. Second chapter illustrates how large-scale mathematical programs arise from real-world problems. Appendixes. List of Symbols.

Optimization Theory with Applications


Optimization Theory with Applications

Author: Donald A. Pierre

language: en

Publisher: Courier Corporation

Release Date: 2012-07-12


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Broad-spectrum approach to important topic. Explores the classic theory of minima and maxima, classical calculus of variations, simplex technique and linear programming, optimality and dynamic programming, more. 1969 edition.