Abstract: Stochastic programming provides mathematical models and algorithms for optimizing decisions under uncertainty. In formulating a stochastic program we typically assume that the probability ...

Abstract: In this paper, we present a unit commitment problem with uncertain wind power output. The problem is formulated as a chance-constrained two-stage (CCTS) stochastic program. Our model ensures ...

A Stochastic Volatility (SV) model is a mathematical framework used in finance to describe the evolution of asset prices where volatility is treated as a latent, stochastic process. This contrasts ...

【更新・値上げ中】好評につき再度 値上げしました。 仕事や研究において、非線形の見える化・可視化を求めてt-distributed Stochastic Neighbor Embedding (tSNE) をする方もいらっしゃると思います。tSNEの実用的かつ実践的な方法はこちらに書きました。 しかし、tSNE ...

The optimization of short sequences of loop-free, fixed-point assembly code sequences is an important problem in high-performance computing. However, the competing constraints of transformation ...

All solve times are with cuPDLPx solver. Unified shows solution time if SP solved using single model. Distributed shows solution time that would have been achieved if enough GPUs were available (sum ...

The Stochastic Project Evaluation & Review Technique program, SPERT, supports Critical Path Method project planning, including generation of text-based GANTT charts ...