A Java Library of Graph Algorithms and Optimization by Hang T. Lau

By Hang T. Lau

as a result of its portability and platform-independence, Java is definitely the right machine programming language to take advantage of while engaged on graph algorithms and different mathematical programming difficulties. gathering essentially the most renowned graph algorithms and optimization tactics, A Java Library of Graph Algorithms and Optimization presents the resource code for a library of Java courses that may be used to unravel difficulties in graph thought and combinatorial optimization. Self-contained and principally self sufficient, each one subject starts off with an issue description and an summary of the answer technique, by way of its parameter record specification, resource code, and a try out instance that illustrates the use of the code.

The booklet starts with a bankruptcy on random graph iteration that examines bipartite, ordinary, attached, Hamilton, and isomorphic graphs in addition to spanning, categorised, and unlabeled rooted timber. It then discusses connectivity methods, by way of a paths and cycles bankruptcy that comprises the chinese language postman and touring salesman difficulties, Euler and Hamilton cycles, and shortest paths. the writer proceeds to explain attempt systems related to planarity and graph isomorphism. next chapters care for graph coloring, graph matching, community movement, and packing and masking, together with the project, bottleneck task, quadratic project, a number of knapsack, set overlaying, and set partitioning difficulties. the ultimate chapters discover linear, integer, and quadratic programming. The appendices offer references that provide extra info of the algorithms and comprise the definitions of many graph concept phrases utilized in the book.

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