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Julia Programming for Operations Research
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The Julia Language is as fast as C, as convenient as MATLAB, and as general as Python with a flexible algebraic modeling language for mathematical optimization problems.
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What Stands Out
Detalles de producto
| Publisher | Independently published |
| Publication date | March 3, 2019 |
| Language | English |
| Print length | 262 pages |
| ISBN-10 | 1798205475 |
| ISBN-13 | 978-1798205471 |
| Item Weight | 1.01 pounds (460 grams) |
| Dimensions | 7.5 x 0.6 x 9.25 inches (19.1 x 1.5 x 23.5 cm) |
Who Should Buy?
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Operations Researchers
Ideal for researchers in operations research seeking to implement robust optimization solutions using the Julia programming language.
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Data Scientists
Beneficial for data scientists who need efficient algorithms for data modeling and analysis using Julia's powerful tools.
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Academic Students
Great for students in academia wanting to learn optimization techniques and programming through practical examples and exercises.
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Beginners in Coding
Not suitable for complete programming novices, as prior knowledge of programming concepts is required to grasp the content.
DESCRIPCIÓN DEL PRODUCTO
Julia Programming for Operations Research
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Mathematical Analysis Editorial Review
** Julia Programming for Operations Research** "Julia Programming for Operations Research" positions itself as a practical guide tailored for those with a basic understanding of programming and operations research (OR). Readers have highlighted the book’s utility in applying Julia to real-world problems, making it a valuable resource for students and professionals eager to harness the power of this programming language in optimization contexts. The content is presented in a structured manner, starting from foundational concepts in Julia before delving into techniques for solving various types of optimization problems including linear programming, integer programming, and nonlinear programming. While the book successfully caters to its audience, several recurring critiques emerged from readers regarding its execution. They pointed out multiple typos and grammatical errors, though these distractions didn’t seem to detract significantly from the learning experience. Additionally, some found that the explanations became progressively terse as the book advanced, particularly beyond the initial chapters. This could pose challenges for readers who rely on detailed step-by-step instructions as they tackle more complex topics. A notable gap identified by readers is the omission of discussions on advanced features, such as the use of callbacks from integer programming solvers—a key enhancement that many practitioners value. This choice might reflect the author’s focus on specific interests, potentially leaving some vital aspects of the field unexplored. Despite these limitations, the Consensus among reviewers is that this book effectively fills a niche for researchers and practitioners in the field. It serves as a solid entry point for those already versed in programming and interested in applying Julia to their operations research endeavors. **
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ventajas
- Practical and relevant examples
- Good starting point for learners familiar with programming concepts
- Covers a niche in applying Julia to operations research
Contras
- Explanations can become terse in later chapters
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características y beneficios
- Julia programming book for Operations Research based on Julia v1.3+ and JuMP v0.21+
- Great support from Julia developers, especially the developers of JuMP package
- Ideal tool for students and professionals in operations research, industrial engineering, management science, etc.
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