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 ...

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...

Caroline Uhler is an Andrew (1956) and Erna Viterbi Professor of Engineering at MIT; a professor of electrical engineering and computer science in the ...

Sparse matrices are fundamental to many computational problems, and their efficient representation in quantum computing is crucial for unlocking the potential of quantum algorithms. The core ...

Economists have developed different types of models describing the interaction of agents in markets. Early models in general equilibrium theory describe agents taking prices as given and do not ...

Combinatorial optimisation is a fundamental field in applied mathematics and computer science that focuses on finding an optimal object from a finite set of objects. In this context, problems are ...

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 ...

Abstract: In this talk, I will present a new combinatorial algorithm for maximum flow that is based on running the weighted push-relabel algorithm introduced in [BBST ...

Keter D, et al. Synovial fluid dual-biomarker algorithm accurately differentiates osteoarthritis from inflammatory arthritis. J Orthop Res. 2025;43(2):304-310. doi:10.1002/jor.26005 ...