£118.99

Introduction to Graph and Hypergraph Theory - Nova Science

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£119 today · 30-day average £123 · all-time low £100

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£128.61 £96.66 £103.63 £110.60 £117.57 £124.54 £131.52 08 July 2026 30 July 2026 22 August 2026 13 September 2026 06 October 2026

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49 days 10 days 5 days · current 16 days 11 days 0 12 25 37 49 £100 £117 £119 £128 £129 Days at Price

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Most common price: £100 (49 days, 53.8%)

Price range: £100 - £129

Price levels: 5 different prices over 91 days

Description

Introduction to Graph and Hypergraph Theory is a comprehensive textbook designed for mathematics and computer science majors, as well as students in bioinformatics and related disciplines studying graph theory, discrete mathematics, data structures, and algorithms. This book welcomes beginners with no prior knowledge of graph theory or advanced mathematics, requiring only basic familiarity with set theory, proof techniques, and algorithms - all of which are explained throughout the text. The structured approach builds foundational understanding systematically, making it accessible to anyone curious about graph theory fundamentals. Whether you're pursuing formal coursework or self-study, this Nova Science Publishers title provides clear explanations and rigorous content suitable for academic and professional development in computational disciplines.

Key Features

Introduction to Graph and Hypergraph Theory is written for mathematics and computer science majors taking courses in discrete mathematics, data structures, and algorithms.

This Nova Science textbook requires no previous graph theory knowledge, starting with essential set theory and proof techniques explained within the text.

The book covers bioinformatics applications and serves students from multiple disciplines seeking foundational understanding of graph structures.

Structured content builds systematically from basic concepts, making graph theory accessible to self-taught learners and curious students.

This comprehensive text balances mathematical rigour with clear explanations suitable for academic coursework and professional reference.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
13 May 2009
Listed Since
17 November 2008

Barcode

No barcode data available

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