Deterministic Operations Research: Models and Methods in Linear Optimization
Optimization modeling and algorithms are key components to problem-solving across various fields of research
Deterministic Operations Research: Models and Methods in Linear Optimization
Mahsulot #: 48170585

Deterministic Operations Research: Models and Methods in Linear Optimization

Mahsulot #: 48170585

UZS 1400730

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What Stands Out

Comprehensive Models
Covers a wide range of linear optimization models, providing in-depth insights and applications to real-world problems, making it an essential resource for both students and professionals in operations research.
Practical Methodologies
Offers proven methodologies for solving linear optimization problems, equipping readers with effective tools and techniques that enhance decision-making processes in various industries.
Academic Rigor
Developed with a focus on academic excellence, this text serves as a robust educational resource, ensuring a strong theoretical foundation in operations research principles for aspiring analysts and researchers.

Mahsulot tafsilotlari

Discover the best deals for Deterministic Operations Research: Models and Methods in Linear Optimization 1st Edition at Ubuy Oʻzbekiston. Shop now to enhance your knowledge and skills in linear optimization.
  • Blends mathematical theory and algorithm design for real-world problem-solving
  • Focuses on designing solution methods for continuous and discrete linear optimization problems
  • Covers algorithm design for continuous linear optimization problems, such as convexity and the Simplex Method
  • Addresses linear programming duality theory, the Dual Simplex Method, Dantzig-Wolfe decomposition, and primal-dual interior point algorithm
  • Presents network optimization and integer programming problems, including label-correcting algorithms and branch and cut algorithms
  • Suitable for operations research of linear optimization courses at upper-undergraduate and graduate levels, as well as a reference for professionals in mathematics, engineering, computer science, and operations research
Publisher Wiley
Publication date September 7, 2010
Edition 1st
Language English
Print length 632 pages
ISBN-10 0470484519
ISBN-13 978-0470484517
Item Weight 2.17 pounds (980 grams)
Dimensions 6.5 x 1.5 x 9.4 inches (16.5 x 3.8 x 23.9 cm)

Who Should Buy?

Suitable For
  • Students of Operations Research

    Ideal for students pursuing degrees in operations research, providing essential models and methods for linear optimization.

  • Practicing Analysts

    Useful for analysts engaged in optimization problems, offering practical insights and real-world applications to enhance decision-making.

  • Academic Researchers

    Supports researchers in operations research by covering foundational theories and advanced methodologies for further study.

Not Suitable For
  • Casual Learners

    Not suitable for individuals seeking a basic understanding of optimization without the need for deep theoretical knowledge.

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Deterministic Operations Research: Models and Methods in Linear Optimization

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Linear Programming Editorial Review

Deterministic Operations Research: Models and Methods in Linear Optimization is a comprehensive guide published by Wiley on September 7, 2010. With a print length of 632 pages, it offers a decent coverage of constrained optimization concepts and techniques, making it a good choice for beginners looking to grasp modeling basics. While many readers find the explanations straightforward and the flow natural, some have noted the lack of solutions for end-of-chapter problems, which may hinder the learning process for students. Overall, this book provides a solid foundation, though there are criticisms regarding inaccuracies and insufficient examples.

Customer Reviews & Ratings

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Pros

  • Easy to understand explanations for beginners
  • Natural and intuitive content flow
  • Decent coverage of constrained optimization
  • Good quality for a used textbook
  • Helpful for initial modeling concepts

Kamchiliklari

  • Lacks solutions for end-of-chapter questions

Product Price History

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