What do the following—planning an airline hub, political gerrymandering, and a museum renovation—have in common? They’re all problems that can be tackled by mathematicians using a process called ...

Looking at today's papers, I feel that progress in AI research is no longer just about "making models even larger."Using mathematics to find unnecessary weights. Constructing optimization problems ...

In Part 1 of this series on optimization and recovery, we considered two limitations of optimization processes and the light they shed on pseudo-recovery. Let’s now think more about what the ...

Combinatorial optimization and integer programming form the backbone of decision-making models in which discrete choices must be made under constraints. At its core, integer programming specialises in ...

Polynomial optimization concerns the problem of finding global minima or maxima of multivariate polynomial functions subject to polynomial constraints. Such problems are inherently nonconvex and often ...

LG CNS said on Sept. 20 it held the global mathematical optimization competition "Optimization Grand Challenge 2026". The ...

LG CNS said Tuesday it will host a contest that targets talented individuals in the field of mathematical optimization for bundle deliveries. Co-organized with the Korean Institute of Industrial ...

Researchers at the Department of Energy's (DOE) Oak Ridge National Laboratory (ORNL) have developed a computational method ...