Graph theory.
Overview
| Works: | 239 works in 78 publications in 78 languages | |
|---|---|---|
Titles
Quo vadis, graph theory? : = a source book for challenges and directions /
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(Language materials, printed)
Graph theory, combinatorics and algorithms : = interdisciplinary applications /
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(Language materials, printed)
Scale-isometric polytopal graphs in hypercubes and cubic lattices = polytopes in hypercubes and Z鰒 /
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(Electronic resources)
Graph Theory, Combinatorics and Algorithms = Interdisciplinary Applications /
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(Language materials, printed)
Introduction to the network approximation method for materials modeling /
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(Language materials, printed)
From domination to coloring = Stephen Hedetniemi's graph theory and beyond /
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(Electronic resources)
Estimating functional connectivity and topology in large-scale neuronal assemblies = statistical and computational methods /
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(Electronic resources)
Biological network analysis = trends, approaches, graph theory, and algorithms /
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(Electronic resources)
Independence theory in combinatorics : = an introductory account with applications to graphs and transversals /
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Spectral generalizations of line graphs : = on graphs with least negative eigenvalue -2 /
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Graph directed Markov systems : = geometry and dynamics of limit sets /
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Handbook of graphs and networks : = from the genome to the internet /
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(Language materials, printed)
Laplacian eigenvectors of graphs : = Perron-Frobenius and Faber-Krahn type theorems /
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(Language materials, printed)
The logic system of concept graphs with negation = and its relationship to predicate logic /
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(Language materials, printed)
Probability on graphs : = random processes on graphs and lattices /
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(Language materials, printed)
Factors and factorizations of graphs : = proof techniques in factor theory /
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(Language materials, printed)
Graph theory for operations research and management = applications in industrial engineering /
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(Electronic resources)
Operator Calculus on Graphs = Theory and Applications in Computer Science.
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(Electronic resources)
Coarse geometry and randomness : = École d'Été de Probabilitiés de Saint-Flour XLI - 2011 /
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(Language materials, printed)
Spectral clustering and biclustering : = learning large graphs and contingency tables /
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(Language materials, printed)
Spectral clustering and biclustering = learning large graphs and contingency tables /
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(Electronic resources)
Problems from the discrete to the continuous = probability, number theory, graph theory, and combinatorics /
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(Electronic resources)
Mathematical foundations of complex networked information systems = Politecnico di Torino, Verres, Italy 2009 /
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(Electronic resources)
Handbook of graph theory, combinatorial optimization, and algorithms /
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(Language materials, printed)
Spectral analysis of growing graphs = a quantum probability point of view /
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(Electronic resources)
Combinatorial optimization and graph algorithms = communications of NII Shonan Meetings /
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(Electronic resources)
A primer for undergraduate research = from groups and tiles to frames and vaccines /
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Graph transformation, specifications, and nets = in memory of Hartmut Ehrig /
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(Electronic resources)
Systems analysis and synthesis = bridging computer science and information technology.
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(Electronic resources)
Fixed point theory and graph theory : = foundations and integrative approaches /
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(Electronic resources)
The zeroth book of graph theory = an annotated translation of Les Reseaux (ou Graphes) : Andre Sainte-Lague (1926) /
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(Electronic resources)
Information retrieval and natural language processing = a graph theory approach /
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(Electronic resources)
Homogeneous ordered graphs, metrically homogeneous graphs, and beyond.. Volume I,. Ordered graphs and distanced graphs
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(Electronic resources)
The mathematics of finite networks = an introduction to operator graph theory /
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(Electronic resources)
Peeling random planar maps = École d'Été de Probabilités de Saint-Flour XLIX - 2019 /
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(Electronic resources)
Graph theory and additive combinatorics = exploring structure and randomness /
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(Electronic resources)
Applied graph theory : = an introduction with graph optimization and algebraic graph theory /
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(Language materials, printed)
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