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 proposed algorithm combines variational scheduling with post-processing to achieve near-optimal solutions to combinatorial optimization problems with constraints within the operation time of ...
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, ...
We develop a novel framework, the implicit hitting set approach, for solving a class of combinatorial optimization problems. The explicit hitting set problem is as follows: given a set U and a family ...
Proper market segmentation schemes should address not only how to develop feasible schemes of homogeneous market segments within designated managerial, institutional, and environmental restrictions, ...
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 ...
The AQT Quantum HYBRID algorithms mix quantum techniques with high-performance classical computation to solve integer-based ...
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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