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"Graph Labelings of Extended Duplicate Snake Graphs" by P. Indira is an insightful study that focuses on graph theory and combinatorics. The book explores the concept of graph labelings and their applications to extended duplicate snake graphs, including the triangular snake graph and quadrilateral snake graph. The author presents a comprehensive overview of various graph labeling algorithms and their efficiency in solving problems related to snake graphs. The book delves into various types of graph labelings, including vertex labeling, edge labeling, total labeling, harmonious labeling,…mehr

Produktbeschreibung
"Graph Labelings of Extended Duplicate Snake Graphs" by P. Indira is an insightful study that focuses on graph theory and combinatorics. The book explores the concept of graph labelings and their applications to extended duplicate snake graphs, including the triangular snake graph and quadrilateral snake graph. The author presents a comprehensive overview of various graph labeling algorithms and their efficiency in solving problems related to snake graphs. The book delves into various types of graph labelings, including vertex labeling, edge labeling, total labeling, harmonious labeling, graceful labeling, and super edge magic labeling. It also discusses the use of adjacency matrix and other graph representation techniques in labeling snake graphs. The study covers a range of topics related to graph theory and discrete mathematics, including graph coloring, edge coloring, total coloring, distance labeling, topological indices, optimization, graph homomorphism, graph isomorphism, spectral graph theory, network analysis, graph embedding, graph traversal, data structure, computational complexity, NP-hardness, chromatic polynomial, spanning tree, Eulerian graph, Hamiltonian graph, dominating set, and heuristics. The book is a valuable resource for researchers and students interested in the applications of graph theory in computer science, engineering, and other related fields. The author's expertise in the subject matter is evident, as she provides clear explanations of complex concepts and presents novel ideas that could lead to further research and development in the field of graph labelings. . .