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Graphs, Dioids and Semirings : New Models and Algorithms /

By: Gondran, Michel [author.].
Contributor(s): Minoux, Michel [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Operations Research/Computer Science Interfaces: 41Publisher: Boston, MA : Springer US, 2008.Description: XX, 388 p. 26 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9780387754505.Subject(s): Mathematics | Operations research | Decision making | Computer organization | Computer science -- Mathematics | Mathematical models | Management science | Combinatorics | Mathematics | Operations Research, Management Science | Computer Systems Organization and Communication Networks | Combinatorics | Operation Research/Decision Theory | Discrete Mathematics in Computer Science | Mathematical Modeling and Industrial MathematicsDDC classification: 519.6 Online resources: Click here to access online
Contents:
Pre-Semirings, Semirings and Dioids -- Combinatorial Properties of (Pre)-Semirings -- Topology on Ordered Sets: Topological Dioids -- Solving Linear Systems in Dioids -- Linear Dependence and Independence in Semi-Modules and Moduloids -- Eigenvalues and Eigenvectors of Endomorphisms -- Dioids and Nonlinear Analysis -- Collected Examples of Monoids, (Pre)-Semirings and Dioids.
In: Springer eBooksSummary: The origins of Graph Theory date back to Euler (1736) with the solution of the celebrated 'Koenigsberg Bridges Problem'; and to Hamilton with the famous 'Trip around the World' game (1859), stating for the first time a problem which, in its most recent version – the 'Traveling Salesman Problem' -, is still the subject of active research. Yet, it has been during the last fifty years or so—with the rise of the electronic computers—that Graph theory has become an indispensable discipline in terms of the number and importance of its applications across the Applied Sciences. Graph theory has been especially central to Theoretical and Algorithmic Computer Science, and Automatic Control, Systems Optimization, Economy and Operations Research, Data Analysis in the Engineering Sciences. Close connections between graphs and algebraic structures have been widely used in the analysis and implementation of efficient algorithms for many problems, for example: transportation network optimization, telecommunication network optimization and planning, optimization in scheduling and production systems, etc. The primary objectives of GRAPHS, DIOÏDS AND SEMIRINGS: New Models and Algorithms are to emphasize the deep relations existing between the semiring and dioïd structures with graphs and their combinatorial properties, while demonstrating the modeling and problem-solving capability and flexibility of these structures. In addition the book provides an extensive overview of the mathematical properties employed by "nonclassical" algebraic structures, which either extend usual algebra (i.e., semirings), or correspond to a new branch of algebra (i.e., dioïds), apart from the classical structures of groups, rings, and fields.
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Item type Current location Call number Status Date due Barcode Item holds
E books E books PK Kelkar Library, IIT Kanpur
Available EBK10255
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Pre-Semirings, Semirings and Dioids -- Combinatorial Properties of (Pre)-Semirings -- Topology on Ordered Sets: Topological Dioids -- Solving Linear Systems in Dioids -- Linear Dependence and Independence in Semi-Modules and Moduloids -- Eigenvalues and Eigenvectors of Endomorphisms -- Dioids and Nonlinear Analysis -- Collected Examples of Monoids, (Pre)-Semirings and Dioids.

The origins of Graph Theory date back to Euler (1736) with the solution of the celebrated 'Koenigsberg Bridges Problem'; and to Hamilton with the famous 'Trip around the World' game (1859), stating for the first time a problem which, in its most recent version – the 'Traveling Salesman Problem' -, is still the subject of active research. Yet, it has been during the last fifty years or so—with the rise of the electronic computers—that Graph theory has become an indispensable discipline in terms of the number and importance of its applications across the Applied Sciences. Graph theory has been especially central to Theoretical and Algorithmic Computer Science, and Automatic Control, Systems Optimization, Economy and Operations Research, Data Analysis in the Engineering Sciences. Close connections between graphs and algebraic structures have been widely used in the analysis and implementation of efficient algorithms for many problems, for example: transportation network optimization, telecommunication network optimization and planning, optimization in scheduling and production systems, etc. The primary objectives of GRAPHS, DIOÏDS AND SEMIRINGS: New Models and Algorithms are to emphasize the deep relations existing between the semiring and dioïd structures with graphs and their combinatorial properties, while demonstrating the modeling and problem-solving capability and flexibility of these structures. In addition the book provides an extensive overview of the mathematical properties employed by "nonclassical" algebraic structures, which either extend usual algebra (i.e., semirings), or correspond to a new branch of algebra (i.e., dioïds), apart from the classical structures of groups, rings, and fields.

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