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This undergraduate textbook provides an introduction to graph theory, which has numerous applications in modeling problems in science and technology, and has become a vital component to computer science, computer science and engineering, and mathematics curricula of universities all over the world. The author follows a methodical and easy to understand approach. Beginning with the historical background, motivation and applications of graph theory, the author first explains basic graph theoretic terminologies. From this firm foundation, the author goes on to present paths, cycles, connectivity, trees, matchings, coverings, planar graphs, graph coloring and digraphs as well as some special classes of graphs together with some research topics for advanced study. Filled with exercises and illustrations, Basic Graph Theory is a valuable resource for any undergraduate student to understand and gain confidence in graph theory and its applications to scientific research, algorithms and problem solving.

Computer science. --- Computer science --- Graph theory. --- Applied mathematics. --- Engineering mathematics. --- Computer Science. --- Discrete Mathematics in Computer Science. --- Graph Theory. --- Appl.Mathematics/Computational Methods of Engineering. --- Mathematics. --- Computational complexity. --- Mathematical and Computational Engineering. --- Engineering --- Engineering analysis --- Mathematical analysis --- Complexity, Computational --- Electronic data processing --- Machine theory --- Mathematics --- Computer science—Mathematics. --- Graph theory --- Graphs, Theory of --- Theory of graphs --- Combinatorial analysis --- Topology --- Extremal problems --- Computer mathematics --- Discrete mathematics. --- Mathematical and Computational Engineering Applications. --- Data processing. --- Discrete mathematical structures --- Mathematical structures, Discrete --- Structures, Discrete mathematical --- Numerical analysis

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This undergraduate textbook provides an introduction to graph theory, which has numerous applications in modeling problems in science and technology, and has become a vital component to computer science, computer science and engineering, and mathematics curricula of universities all over the world. The author follows a methodical and easy to understand approach. Beginning with the historical background, motivation and applications of graph theory, the author first explains basic graph theoretic terminologies. From this firm foundation, the author goes on to present paths, cycles, connectivity, trees, matchings, coverings, planar graphs, graph coloring and digraphs as well as some special classes of graphs together with some research topics for advanced study. Filled with exercises and illustrations, Basic Graph Theory is a valuable resource for any undergraduate student to understand and gain confidence in graph theory and its applications to scientific research, algorithms and problem solving.

Statistical science --- Discrete mathematics --- Mathematical statistics --- Mathematics --- Applied physical engineering --- Engineering sciences. Technology --- Computer science --- Computer. Automation --- grafieken --- ICT (informatie- en communicatietechnieken) --- complexiteit --- discrete wiskunde --- economie --- informatica --- statistiek --- wiskunde --- ingenieurswetenschappen

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This book constitutes the proceedings of the 16th International Conference on Algorithms and Computation, WALCOM 2022, which was held in Jember, Indonesia, during March 24-26, 2022. This proceedings volume contains 30 full papers which were carefully reviewed and selected from a total of 89 submissions and 3 invited papers. They cover diverse areas of algorithms and computation, such as approximation algorithms, computational complexity, computational geometry, graph algorithms, graph drawing and visualization, online algorithms, parameterized complexity and property testing.

Computer science. --- Computer science—Mathematics. --- Discrete mathematics. --- Data structures (Computer science). --- Information theory. --- Computer graphics. --- Computer engineering. --- Computer networks. --- Theory of Computation. --- Discrete Mathematics in Computer Science. --- Data Structures and Information Theory. --- Computer Graphics. --- Computer Engineering and Networks. --- Informatics --- Science --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Computers --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Engineering graphics --- Image processing --- Communication theory --- Communication --- Cybernetics --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- File organization (Computer science) --- Abstract data types (Computer science) --- Discrete mathematical structures --- Mathematical structures, Discrete --- Structures, Discrete mathematical --- Numerical analysis --- Distributed processing --- Design and construction --- Digital techniques --- Computer science --- Mathematics.

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Computer. Automation --- informatica

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Computer algorithms -- Congresses. --- Computer science -- Congresses. --- Electronic books. -- local. --- Computer algorithms --- Data structures (Computer science) --- Graph theory --- Computer Science --- Engineering & Applied Sciences --- Computer science --- Computer science. --- Algorithms. --- Bioinformatics. --- Computer Science. --- Algorithm Analysis and Problem Complexity. --- Discrete Mathematics in Computer Science. --- Math Applications in Computer Science. --- Symbolic and Algebraic Manipulation. --- Computational Biology/Bioinformatics. --- Mathematics. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Algorism --- Algebra --- Arithmetic --- Informatics --- Science --- Data processing --- Mathematics --- Foundations --- Computer software. --- Computational complexity. --- Data processing. --- Complexity, Computational --- Machine theory --- Software, Computer --- Computer systems --- Computer science—Mathematics. --- Discrete mathematics. --- Mathematical Applications in Computer Science. --- Computational and Systems Biology. --- Discrete mathematical structures --- Mathematical structures, Discrete --- Structures, Discrete mathematical --- Numerical analysis