Search results for "Graph isomorphism"

showing 5 items of 5 documents

Pattern Matching and Pattern Discovery Algorithms for Protein Topologies

2001

We describe algorithms for pattern-matching and pattern-learning in TOPS diagrams (formal descriptions of protein topologies). These problems can be reduced to checking for subgraph isomorphism and finding maximal common subgraphs in a restricted class of ordered graphs. We have developed a subgraph isomorphism algorithm for ordered graphs, which performs well on the given set of data. The maximal common subgraph problem then is solved by repeated subgraph extension and checking for isomorphisms. Despite its apparent inefficiency, this approach yields an algorithm with time complexity proportional to the number of graphs in the input set and is still practical on the given set of data. As a…

CombinatoricsDiscrete mathematicsSubgraph isomorphism problemMaximal independent setInduced subgraph isomorphism problemPattern matchingFast methodsNetwork topologyTime complexityAlgorithmMaximum common subgraph isomorphism problemMathematicsofComputing_DISCRETEMATHEMATICSMathematics
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A Polynomial Quantum Query Lower Bound for the Set Equality Problem

2004

The set equality problem is to tell whether two sets A and B are equal or disjoint under the promise that one of these is the case. This problem is related to the Graph Isomorphism problem. It was an open problem to find any ω(1) query lower bound when sets A and B are given by quantum oracles. We will show that any error-bounded quantum query algorithm that solves the set equality problem must evaluate oracles \(\Omega(\sqrt[5]{\frac{n}{\ln n}})\) times, where n=|A|=|B|.

Discrete mathematicsPolynomial (hyperelastic model)CombinatoricsOpen problemGraph isomorphism problemTheoryofComputation_GENERALCollision problemQuantum algorithmDisjoint setsIsomorphismUpper and lower boundsMathematics
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Symmetry-assisted adversaries for quantum state generation

2011

We introduce a new quantum adversary method to prove lower bounds on the query complexity of the quantum state generation problem. This problem encompasses both, the computation of partial or total functions and the preparation of target quantum states. There has been hope for quite some time that quantum state generation might be a route to tackle the $backslash$sc Graph Isomorphism problem. We show that for the related problem of $backslash$sc Index Erasure our method leads to a lower bound of $backslash Omega(backslash sqrt N)$ which matches an upper bound obtained via reduction to quantum search on $N$ elements. This closes an open problem first raised by Shi [FOCS'02]. Our approach is …

Discrete mathematicsQuantum PhysicsReduction (recursion theory)Informatique généraleOpen problemMultiplicative function0102 computer and information sciences01 natural sciencesUpper and lower boundsComputer Science - Computational ComplexityRepresentation theory of the symmetric group010201 computation theory & mathematicsQuantum state0103 physical sciencesGraph isomorphism010306 general physicsQuantumMathematics
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About Graph Mappings

2019

Summary In this articles adjacency-preserving mappings from a graph to another are formalized in the Mizar system [7], [2]. The generality of the approach seems to be largely unpreceeded in the literature to the best of the author’s knowledge. However, the most important property defined in the article is that of two graphs being isomorphic, which has been extensively studied. Another graph decorator is introduced as well.

Discrete mathematicsgraph isomorphism05c60Applied Mathematics020207 software engineering0102 computer and information sciences02 engineering and technology68t9901 natural sciencesComputational Mathematicsgraph homomorphism03b35010201 computation theory & mathematics0202 electrical engineering electronic engineering information engineeringQA1-939Graph (abstract data type)Graph homomorphismGraph isomorphismMathematicsMathematicsFormalized Mathematics
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About Vertex Mappings

2019

Summary In [6] partial graph mappings were formalized in the Mizar system [3]. Such mappings map some vertices and edges of a graph to another while preserving adjacency. While this general approach is appropriate for the general form of (multidi)graphs as introduced in [7], a more specialized version for graphs without parallel edges seems convenient. As such, partial vertex mappings preserving adjacency between the mapped verticed are formalized here.

graph isomorphismVertex (graph theory)05c60Applied Mathematics68t99CombinatoricsComputational Mathematicsgraph homomorphism03b35QA1-939Graph homomorphismGraph isomorphismMathematicsMathematicsofComputing_DISCRETEMATHEMATICSMathematicsFormalized Mathematics
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