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 ...
The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic research in the design, development, analysis, and scalability of randomized algorithms for ...
In this graduate-level course, we will be covering advanced topics in combinatorial optimization. We will start with matchings and cover many results, extending the fundamental results of matchings, ...
Shenzhen, May 14, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Announces Research on Quantum Information Recursive Optimization (QIRO) Algorithm, for Combinatorial Optimization Problems to Expand and Solve ...
The Journal of the Operational Research Society, Vol. 55, No. 7, Part Special Issue: Local Search (Jul., 2004), pp. 705-716 (12 pages) The Bin Packing Problem and the Cutting Stock Problem are two ...
Proper market segmentation schemes should address not only how to develop feasible schemes of homogeneous market segments within designated managerial, institutional, and environmental restrictions, ...
The financial world grows on managing risk, but the models used to calculate exposure—from market volatility to ...
I am a Professor in the Department of Computer Science at California State University, Sacramento (CSUS). I joined CSUS in 2015. I obtained my Ph.D in Computer Science from the University of ...
Xinyun Wu: Post-doctoral Fellow during 2017-2018. Currently works at Hubei University of Technology as Assistant Professor in Computer Science. His research interests include design and analysis of ...
Combinatorial optimisation algorithms are central to addressing problems in which the goal is to select an optimal solution from a finite set of alternatives. These algorithms have evolved ...
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