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Algebraic Graph Theory: 207 (Graduate Texts in Mathematics, 207)
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The authors' goal has been to present and illustrate the main tools and ideas of algebraic graph theory, with an emphasis on current rather than classical topics.
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- Algebraic graph theory is a combination of two strands. The first is the study of algebraic objects associated with graphs. The second is the use of tools from algebra to derive properties of graphs. The authors' goal has been to present and illustrate the main tools and ideas of algebraic graph theory, with an emphasis on current rather than classical topics. While placing a strong emphasis on concrete examples, the authors tried to keep the treatment self-contained.
| Publisher | Springer |
| Publication date | 20 April 2001 |
| Edition | 2001st |
| Language | English |
| Print length | 462 pages |
| ISBN-10 | 0387952209 |
| ISBN-13 | 978-0387952208 |
| Item weight | 738 g |
| Dimensions | 15.49 x 2.67 x 23.5 cm |
| Part of series | Graduate Texts in Mathematics |
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Algebra Editorial Review
Algebraic Graph Theory: 207 (Graduate Texts In Mathematics, 207) offers a comprehensive exploration of the intersection of algebra and graph theory. This academic text is published by Springer and spans 462 pages, making it a substantial resource for graduate students and researchers looking to deepen their understanding. The book, published on April 20, 2001, is in English and includes a wealth of mathematical concepts presented in a clear manner. Readers appreciate the thoroughness of the material, making it a valuable addition to any mathematician's library.
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Pros
- Comprehensive coverage of algebraic graph theory
- Ideal for graduate-level studies
- Well-organized content enhances learning
- Clear explanations aid understanding of complex topics
- Part of a respected series in mathematics
Cons
- Some readers may find it quite dense
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Features & Benefits
- Focus on current topics in algebraic graph theory.
- Combination of algebraic objects and graph properties.
- Concrete examples for clear understanding.
- Self-contained approach for easy learning.
- Ideal for graduate-level study and research.
- Tools from algebra are used to explore graph properties.
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