Let G be a properly colored bipartite graph. A rainbow matching of G is such a matching in which no two edges have the same color. Let G be a properly colored bipartite graph with bipartition (X,Y) ...
The optimal semi-matching problem is one relaxing form of the maximum cardinality matching problems in bipartite graphs, and finds its applications in load balancing. Ordered binary decision diagram ...
Commutative algebra and graph theory are two vibrant areas of mathematics that have grown increasingly interrelated. At this interface, algebraic methods are applied to study combinatorial structures, ...
All seminars (unless otherwise stated) will take place on Tuesdays at 5.00pm in Room 707 in the Mathematics Department (25 Gordon Street). There will be tea afterwards in Room 606 in the Mathematics ...
Introduction, Statements, and Notation, Connectives, Well-formed formulas, Tautology, Duality law, Equivalence, Implication, Normal Forms, Functionally complete set ...
Graph algorithms and combinatorial optimisation form a pivotal area of research that underpins many modern computational applications. At their core, graph algorithms provide systematic methods for ...
This is the code of paper Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph. [Paper] We revise the official scip (version ...
This course is available on the MSc in Applicable Mathematics and MSc in Operations Research & Analytics. This course is available with permission as an outside option to students on other programmes ...
This course is available on the MSc in Applicable Mathematics and MSc in Management Science (Operational Research). This course is available as an outside option to students on other programmes where ...
Abstract: This paper investigates the stochastic bipartite consensus problem for discrete-time multi-agent systems in the presence of antagonistic interactions, noise and random link failure. First of ...
Abstract: Bipartite spectral graph partitioning (BSGP) method as a co-clustering method, has been widely used in document clustering, which simultaneously clusters documents and words by making full ...
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