Nonlinear Programming
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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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Detalji o proizvodu
| Item Weight | 2.5 lbs (1.13 kg) |
Who Should Buy?
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Students in Academia
Ideal for students seeking a foundational understanding of nonlinear programming concepts and techniques in academic settings.
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Practicing Engineers
Useful for engineers who need practical applications of nonlinear programming in optimization problems within various industries.
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Research Analysts
Suitable for analysts involved in advanced research requiring methodologies for solving complex optimization challenges.
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Beginners in Math
Not suitable for those without a strong mathematical background, as concepts might be too complex to grasp without prior knowledge.
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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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5 zvijezda
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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
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Karakteristike i prednosti
- Nonlinear Programming: 3rd Edition is a rewritten version of the 1999 2nd edition.
- The book provides a comprehensive and accessible presentation of algorithms for solving continuous optimization problems.
- It covers iterative algorithms, interior point methods, and duality theory.
- The book includes new materials on large-scale optimization, signal processing, machine learning, and optimal control.
- There are numerous examples and exercises with detailed solutions available online.
- The book was developed through instruction at MIT.
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