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Optimization in Engineering
Optimization in Engineering
Knygos.lt klubas Knygos.lt nariams
98,60 €
-35%
Įprastai
151,69 €
  • Išsiųsime per 12–18 d.d.
This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization techniques, with a clear engineering focus. It carefully describes classical optimization models and algorithms using an engineering problem-solving perspective, and emphasizes modeling issues using many real-world examples related to a variety of application areas. Providing an appropriate blend of practical applications and optimization theory makes the text usefu…
  • Leidėjas:
  • ISBN-10: 331985996X
  • ISBN-13: 9783319859965
  • Formatas: 15.6 x 23.4 x 2.2 cm, minkšti viršeliai
  • Kalba: Anglų

Optimization in Engineering (el. knyga) (skaityta knyga) | knygos.lt

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This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization techniques, with a clear engineering focus. It carefully describes classical optimization models and algorithms using an engineering problem-solving perspective, and emphasizes modeling issues using many real-world examples related to a variety of application areas. Providing an appropriate blend of practical applications and optimization theory makes the text useful to both practitioners and students, and gives the reader a good sense of the power of optimization and the potential difficulties in applying optimization to modeling real-world systems.

The book is intended for undergraduate and graduate-level teaching in industrial engineering and other engineering specialties. It is also of use to industry practitioners, due to the inclusion of real-world applications, opening the door to advanced courses on both modeling and algorithm development within the industrial engineering and operations research fields.

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  • Autorius: Ramteen Sioshansi
  • Leidėjas:
  • ISBN-10: 331985996X
  • ISBN-13: 9783319859965
  • Formatas: 15.6 x 23.4 x 2.2 cm, minkšti viršeliai
  • Kalba: Anglų

This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization techniques, with a clear engineering focus. It carefully describes classical optimization models and algorithms using an engineering problem-solving perspective, and emphasizes modeling issues using many real-world examples related to a variety of application areas. Providing an appropriate blend of practical applications and optimization theory makes the text useful to both practitioners and students, and gives the reader a good sense of the power of optimization and the potential difficulties in applying optimization to modeling real-world systems.

The book is intended for undergraduate and graduate-level teaching in industrial engineering and other engineering specialties. It is also of use to industry practitioners, due to the inclusion of real-world applications, opening the door to advanced courses on both modeling and algorithm development within the industrial engineering and operations research fields.

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