This audiobook is narrated by a digital voice.
"Combinatorial Problems: Minimum Spanning Tree" is a beginner-friendly introduction to the concept of Minimum Spanning Trees (MST), a fundamental tool in computer science and engineering. This book provides clear explanations and practical examples to demystify MST algorithms, which are essential for efficiently connecting nodes in various networks while minimizing costs. Aimed at absolute beginners, it covers the basic principles, step-by-step algorithms, and real-world applications of MST in telecommunications, transportation, and more. Whether you're a student, aspiring engineer, or curious reader, this accessible guide equips you with the foundational knowledge to understand and apply MST effectively in solving connectivity challenges across different fields.
This audiobook is narrated by a digital voice.
"Combinatorial Problems: Minimum Spanning Tree" is a beginner-friendly introduction to the concept of Minimum Spanning Trees (MST), a fundamental tool in computer science and engineering. This book provides clear explanations and practical examples to demystify MST algorithms, which are essential for efficiently connecting nodes in various networks while minimizing costs. Aimed at absolute beginners, it covers the basic principles, step-by-step algorithms, and real-world applications of MST in telecommunications, transportation, and more. Whether you're a student, aspiring engineer, or curious reader, this accessible guide equips you with the foundational knowledge to understand and apply MST effectively in solving connectivity challenges across different fields.
![Combinatorial Problems: Minimum Spanning Tree](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.10.4)
Combinatorial Problems: Minimum Spanning Tree
![Combinatorial Problems: Minimum Spanning Tree](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.10.4)
Combinatorial Problems: Minimum Spanning Tree
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Product Details
BN ID: | 2940192293492 |
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Publisher: | N.B. Singh |
Publication date: | 06/21/2024 |
Series: | Graph Theory , #2 |
Edition description: | Unabridged |
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