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Nonlinear Programming
A comprehensive and accessible presentation of algorithms for solving continuous optimization problems with extensive coverage of iterative optimization methods and a detailed treatment of interior point methods.
Nonlinear Programming
Artikal br.: 20963037

Nonlinear Programming

Artikal br.: 20963037

BAM 228

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A comprehensive and accessible presentation of algorithms for solving continuous optimization problems with extensive coverage of iterative optimization methods and a detailed treatment of interior point methods.
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What Stands Out

Comprehensive Resource
This edition offers an extensive coverage of nonlinear programming topics, making it an invaluable resource for students and professionals seeking in-depth understanding and application of advanced optimization techniques.
Practical Applications
The book includes numerous real-world examples and case studies, helping learners connect theoretical concepts with practical applications in various fields such as engineering, economics, and data science.
Updated Content
With new chapters and revised material, the third edition reflects the latest advancements in nonlinear programming, ensuring that readers are equipped with current methodologies and insights crucial for effective problem-solving.

Detalji o proizvodu

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Item Weight2.5 lbs (1.13 kg)

Who Should Buy?

Suitable For
  • Students in Academia

    Ideal for students seeking a foundational understanding of nonlinear programming concepts and techniques in academic settings.

  • Practicing Engineers

    Useful for engineers who need practical applications of nonlinear programming in optimization problems within various industries.

  • Research Analysts

    Suitable for analysts involved in advanced research requiring methodologies for solving complex optimization challenges.

Not Suitable For
  • Beginners in Math

    Not suitable for those without a strong mathematical background, as concepts might be too complex to grasp without prior knowledge.

OPIS PROIZVODA

Nonlinear Programming

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Mathematics Editorial Review

The book "Nonlinear Programming" by Dimitri Bertsekas is highly recommended for anyone learning optimization theory. It covers useful theory and proposition, includes plenty of examples and meaningful exercises that help readers understand the concept. The appendix is also helpful for PhD research proofs. Though it is a mathematical book, readers must spend a lot of time with it to understand it better. Some reviewers mentioned that it is the book used to teach "Nonlinear Programming" at MIT. However, some readers new to the subject and not experienced in math may find it too strict and challenging to read. The book is nearly 800 pages of pure math, but it is excellent to own and understand concepts from.

Customer Reviews & Ratings

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Pros

  • Useful theory and proposition
  • Plenty of examples and meaningful exercises
  • Great for anyone learning optimization theory
  • Excellent reference
  • Helpful for PhD research proofs
  • Famous and widely used
  • Interesting and useful for machine learning

Cons

  • Strict and challenging to read for those not experienced in math

Product Price History

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