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Julia Programming for Operations Research
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.
Julia Programming for Operations Research
Item #: 35227154

Julia Programming for Operations Research

Item #: 35227154

VND 1058967

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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

Efficiency Focus
Utilizes Julia's high-performance capabilities to solve complex optimization problems quickly, making it ideal for operations research professionals needing fast results in decision-making processes.
Comprehensive Frameworks
Integrates various advanced libraries and tools tailored for operations research, offering users a broad range of methods for modeling and solving intricate problems efficiently.
User-Friendly Syntax
Offers a clean and intuitive syntax, promoting ease of learning and application for both beginners and seasoned professionals in the field of operations research.

Product Details

Shop Julia Programming for Operations Research online at a best price in Vietnam. 1798205475
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?

Suitable For
  • Operations Researchers

    Ideal for researchers in operations research seeking to implement robust optimization solutions using the Julia programming language.

  • Data Scientists

    Beneficial for data scientists who need efficient algorithms for data modeling and analysis using Julia's powerful tools.

  • Academic Students

    Great for students in academia wanting to learn optimization techniques and programming through practical examples and exercises.

Not Suitable For
  • Beginners in Coding

    Not suitable for complete programming novices, as prior knowledge of programming concepts is required to grasp the content.

Product Description

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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Pros

  • Practical and relevant examples
  • Good starting point for learners familiar with programming concepts
  • Covers a niche in applying Julia to operations research

Cons

  • Explanations can become terse in later chapters

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