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Optimization Methods in Finance (Mathematics, Finance and Risk)
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Optimization Methods in Finance (Mathematics, Finance and Risk) Hardcover - 2007

by Gerard Cornuejols


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Optimization models play an increasingly important role in financial decisions. This is the first textbook devoted to explaining how recent advances in optimization models, methods and software can be applied to solve problems in computational finance more efficiently and accurately. Chapters discussing the theory and efficient solution methods for all major classes of optimization problems alternate with chapters illustrating their use in modeling problems of mathematical finance. The reader is guided through topics such as volatility estimation, portfolio optimization problems and constructing an index fund, using techniques such as nonlinear optimization models, quadratic programming formulations and integer programming models respectively. The book is based on Master's courses in financial engineering and comes with worked examples, exercises and case studies. It will be welcomed by applied mathematicians, operational researchers and others who work in mathematical and computational finance and who are seeking a text for self-learning or for use with courses.

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  • Title Optimization Methods in Finance (Mathematics, Finance and Risk)
  • Author Gerard Cornuejols
  • Binding Hardcover
  • Edition [ Edition: First
  • Pages 254 x 178mm 358 pages
  • Language ENG
  • Publisher Cambridge University Press
  • Date January 8, 2007
  • ISBN 9780521861700
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Optimization Methods in Finance
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Optimization Methods in Finance

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Optimization Methods in Finance (Mathematics, Finance and Risk)
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Optimization Methods in Finance (Mathematics, Finance and Risk)
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Optimization Methods in Finance (Mathematics, Finance and Risk)

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ISBN: 9780521861700
Cambridge University press, 31 January 2007
Hard Cover, 358 pages
Optimization models play an increasingly important role in financial decisions. This is the first textbook devoted to explaining how recent advances in optimization models, methods and software can be applied to solve problems in computational finance more efficiently and accurately. Chapters discussing the theory and efficient solution methods for all major classes of optimization problems alternate with chapters illustrating their use in modeling problems of mathematical finance. The reader is guided through topics such as volatility estimation, portfolio optimization problems and constructing an index fund, using techniques such as nonlinear optimization models, quadratic programming formulations and integer programming models respectively. The book is based on Master's courses in financial engineering and comes with worked examples, exercises and case studies. It will be welcomed by applied mathematicians,… Read More
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