Abstract: Task-based programming Task-based programming models such as OpenMP, Intel TBB and OmpSs are widely used to extract high level of parallelism of applications executed on multi-core and ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

Thus HiGHS can solve linear programming (LP) problems, convex quadratic programming (QP) problems, and mixed integer programming (MIP) problems. It is mainly written in C++, but also has some C. It ...

We observe strong agreement between experimental data and numerical predictions, indicating that our model can serve to predict directionality and speed of a particle prior to fabrication. Shape ...

The Chinese startup DeepSeek said Thursday that its upgraded artificial-intelligence model can perform mathematics, programming, and general logic better than the previous version, while ...

The trained model is able to make accurate predictions based on limited real-time sensor data. This ability to deliver fast, authentic insights supports better planning for how reactors will respond ...

Abstract: This paper investigates natural conditions for the existence of optimal policies for a Markov decision process with incomplete information (MDPII) and with expected total costs. MDPII is the ...