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Theory for Cubic Graphs (SpringerBriefs in Operations Research) ,Ed. :1

EGP 854.00

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Product details

Genetic Theory for Cubic Graphs is an essential academic resource that provides insights into operations research and graph theory. Authored by Pouya Baniasadi and Vladimir Ejov, this book presents advanced theories and applications relevant to cubic graphs.

Key Features

  • Authors: Pouya Baniasadi, Vladimir Ejov
  • Publisher: Springer
  • Copyright: 2016
  • ISBN: 9783319196794
  • Edition: 1
  • Field: Operations Research

Why Choose This Book?

This book serves as a vital reference for researchers and students interested in graph theory and its applications in operations research. It combines theoretical insights with practical examples, making it suitable for both academic and professional use.

FAQ

  • Q: What topics are covered in this book?
    A: It covers a range of topics related to cubic graphs, including theoretical frameworks and practical applications.
  • Q: Is it suitable for beginners?
    A: While it offers advanced insights, it is also suitable for those familiar with basic concepts of graph theory.
  • Q: Can this book be used for academic courses?
    A: Yes, it is a valuable resource for academic courses in operations research and mathematics.

Specifications

Key Features

Genetic Theory for Cubic Graphs (SpringerBriefs in Operations Research) ,Ed. :1 By Pouya Baniasadi - Vladimir Ejov - Publisher: Springer - Copyright: 2016 - ISBN: 9783319196794

Specifications

  • SKU: GE810BM0X6OC6NAFAMZ
  • Color: original

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Theory for Cubic Graphs (SpringerBriefs in Operations Research) ,Ed. :1

Theory for Cubic Graphs (SpringerBriefs in Operations Research) ,Ed. :1

EGP 854.00

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