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 ...
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 ...
A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...
A new technical paper titled “Analog optical computer for AI inference and combinatorial optimization” was published by ...
Proper market segmentation schemes should address not only how to develop feasible schemes of homogeneous market segments within designated managerial, institutional, and environmental restrictions, ...
Tech Xplore on MSN
Can Microsoft's analog optical computer be the answer to more energy-efficient AI and optimization tasks?
The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid due to its intensive energy consumption. Digital computing's energy and ...
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 ...
Recently, a research team from the Rudolf Technology Center in Slovenia proposed a new method to optimize the sparse subgraph problem, which has wide applications in fields such as network analysis ...
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 ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback