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Introduction to Mathematical Optimization
90% of respondents would recommend this to a friend
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- This book is intended to be a teaching aid for students of the courses in Operations Research and Mathematical Optimization for scientific faculties. Some of the basic topics of Operations Research and Optimization are considered: Linear Programming, Integer Linear Programming, Computational Complexity, and Graph Theory. Particular emphasis is given to Integer Linear Programming, with an exposition of the most recent resolution techniques, and in particular of the branch-and-cut method. The work is accompanied by numerous examples and exercises.
| Publisher | Independently published |
| Publication date | September 12, 2019 |
| Language | English |
| Print length | 232 pages |
| ISBN-10 | 1692792024 |
| ISBN-13 | 978-1692792022 |
| Item Weight | 1.06 pounds (480 grams) |
| Dimensions | 6.69 x 0.53 x 9.61 inches (17 x 1.3 x 24.4 cm) |
Who Should Buy?
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Students in Mathematics
Ideal for undergraduate and graduate students seeking foundational knowledge in mathematical optimization principles and techniques.
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Data Scientists
Beneficial for data scientists looking to improve their skills in optimization for machine learning models and algorithms.
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Engineers and Analysts
Useful for engineers and analysts who need to apply optimization methods for problem-solving in their respective fields.
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Beginners in Math
Not suitable for individuals with little to no background in mathematics, as concepts may be too advanced.
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Linear Programming Editorial Review
The Introduction to Mathematical Optimization is a comprehensive textbook that covers the fundamentals of optimization theory. It provides a clear and concise introduction to the subject, making it suitable for beginners. The book is well-structured, organized, and easy to follow, with relevant examples and exercises to reinforce the concepts. The authors provide insightful explanations and present the material in a logical manner. However, some readers have found the book to be lacking in depth and detail, particularly when it comes to advanced topics in optimization. Overall, the Introduction to Mathematical Optimization is a valuable resource for those looking to understand the basics of optimization theory.
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Pros
- Comprehensive coverage of optimization theory
- Clear and concise explanations
- Well-structured and organized
- Relevant examples and exercises
Cons
- Lacks in-depth coverage of advanced topics
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