Optimization problems often involve situations in which the user's goal is to minimize and/or maximize not a single objective function, but several, usually conflicting, functions simultaneously. Such ...

Repo for "Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR" Figure 1: We train Qwen2.5-32B-Instruct on the DAPO-17k dataset using our SVS strategy and standard RLVR. SvS ...

Derivative-free method to find zeros of analytic (holomorphic) functions / solve nonlinear (polynomial / generalized) eigenvalue problems using contour integration. (Block SS-Hankel method, Block ...

Alan Veliz-Cuba has received funding from the Simons Foundation and the American Mathematical Society for some of his research. You can probably think of a time when you’ve used math to solve an ...

Problems without initial conditions for evolution equations and variational inequalities appear in the modeling of different non-stationary processes within many fields of science, such as ecology, ...

Abstract: In this paper, an effective finite element method is developed and studied for the Maxwell eigenvalue problem with a radial inhomogeneous medium in a ball. The primary idea is to expand the ...

Optimization on quantum hardware is required in many applications, including Hamiltonian simulation to quantum machine learning; this entails interesting problems that must be addressed both for noisy ...

Which A.I. system writes the best computer code or generates the most realistic image? Right now, there’s no easy way to answer those questions. Credit...Davide Comai Supported by By Kevin Roose ...