185,84 €
206,49 €
-10% with code: EXTRA
Practical Optimization
Practical Optimization
185,84
206,49 €
  • We will send in 10–14 business days.
Here is a hands-on treatment of the subject of optimization, recommended for use by industry professionals, scientists, and students interested in optimization algorithms and their various applications. It is a timely work, as advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation during the past three decades have led to a rapid growth in the theory, methods, and algorithms of numerical optimization. A comprehensive set of problems…
  • Publisher:
  • ISBN-10: 1441943838
  • ISBN-13: 9781441943835
  • Format: 15.6 x 23.4 x 3.5 cm, softcover
  • Language: English
  • SAVE -10% with code: EXTRA

Practical Optimization (e-book) (used book) | bookbook.eu

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Here is a hands-on treatment of the subject of optimization, recommended for use by industry professionals, scientists, and students interested in optimization algorithms and their various applications. It is a timely work, as advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation during the past three decades have led to a rapid growth in the theory, methods, and algorithms of numerical optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semester's worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable for practitioners in the field.

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  • Author: Andreas Antoniou
  • Publisher:
  • ISBN-10: 1441943838
  • ISBN-13: 9781441943835
  • Format: 15.6 x 23.4 x 3.5 cm, softcover
  • Language: English English

Here is a hands-on treatment of the subject of optimization, recommended for use by industry professionals, scientists, and students interested in optimization algorithms and their various applications. It is a timely work, as advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation during the past three decades have led to a rapid growth in the theory, methods, and algorithms of numerical optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semester's worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable for practitioners in the field.

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