




A Beginner's Guide to Graph Theory
Concisely written, gentle introduction to graph theory suitable as a textbook or for selfstudy
Graphtheoretic applications from diverse fields (computer science, engineering, chemistry, management science)
2nd ed. includes new chapters on labeling and communications networks and small worlds, as well as expanded...     Discrete Mathematics with Graph Theory (2nd Edition)
Few people ever read a preface, and those who do often just glance at the first few lines. So we begin by answering the question most frequently asked by the readers of our manuscript: "What does [BB] mean?" Like most undergraduate texts in mathematics these days, answers to some of our exercises appear at the back of the book.... 

Reconstructing Evolution: New Mathematical and Computational AdvancesEvolution is a complex process, acting at multiple scales, from DNA sequences and proteins to populations of species. Understanding and reconstructing evolution is of major importance in numerous subfields of biology. For example, phylogenetics and sequence evolution is central to comparative genomics, attempts to decipher genomes, and molecular...   Quantum Circuit SimulationQuantum Circuit Simulation covers the fundamentals of linear algebra and introduces basic concepts of quantum physics needed to understand quantum circuits and algorithms. It requires only basic familiarity with algebra, graph algorithms and computer engineering. After introducing necessary background, the authors describe key simulation...   Graph Classification and Clustering Based on Vector Space Embedding
Due to the ability of graphs to represent properties of entities and binary relations at the same time, a growing interest in graph based object repre sentation can be observed in science and engineering. Yet, graphs are still not the common data structure in pattern recognition and related fields. The reason for this is twofold. First,... 



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