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Probability and Optimization for Engineers

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Probability and Optimization for Engineers Synopsis

Probability and Optimization for Engineers covers the fundamentals of probabilistic design and optimum design and methods for high performance design. It presents the principle of finite element method in probabilistic and optimum design with solved specific interactive problems of finite element analysis using ANSYS. It explains artificial intelligence for optimum design using AI algorithms including machine learning, deep learning, artificial neural networks, Bayesian optimum design, Bayesian machine learning optimization, and genetic algorithms.

  • Probabilistic and optimum design course with easy, visual, and applied methods.
  • Solved examples, assignments, problems and tutorials.
  • Educational resource for engineering students and for practicing engineers.

About This Edition

ISBN: 9783119143547
Publication date:
Author: Wael A Altabey
Publisher: De Gruyter
Format: Paperback
Pagination: 160 pages
Series: De Gruyter Textbook
Genres: Technology: general issues
Industrial chemistry and chemical engineering
Artificial intelligence
Applied mathematics

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