Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Kim, Youngdae"'
We consider a two-stage stochastic decision problem where the decision-maker has the opportunity to obtain information about the distribution of the random variables $\xi$ that appear in the problem through a set of discrete actions that we refer to
Externí odkaz:
http://arxiv.org/abs/2407.10669
When faced with a limited budget of function evaluations, state-of-the-art black-box optimization (BBO) solvers struggle to obtain globally, or sometimes even locally, optimal solutions. In such cases, one may pursue solution polishing, i.e., a compu
Externí odkaz:
http://arxiv.org/abs/2402.12283
We consider the unit commitment (UC) problem that employs the alternating current optimal power flow (ACOPF) constraints, which is formulated as a mixed-integer nonlinear programming problem and thus challenging to solve in practice. We develop a new
Externí odkaz:
http://arxiv.org/abs/2310.13145
This paper explores strategies to transform an existing CPU-based high-performance computational fluid dynamics solver, HyPar, for compressible flow simulations on emerging exascale heterogeneous (CPU+GPU) computing platforms. The scientific motivati
Externí odkaz:
http://arxiv.org/abs/2211.16718
Federated learning (FL) enables training models at different sites and updating the weights from the training instead of transferring data to a central location and training as in classical machine learning. The FL capability is especially important
Externí odkaz:
http://arxiv.org/abs/2202.03672
Motivated by the increasing availability of high-performance parallel computing, we design a distributed parallel algorithm for linearly-coupled block-structured nonconvex constrained optimization problems. Our algorithm performs Jacobi-type proximal
Externí odkaz:
http://arxiv.org/abs/2112.09027
Autor:
Kim, Youngdae, Kim, Kibaek
We present a mixed complementarity problem (MCP) approach for a steady-state stability analysis of voltage and frequency of electrical grids. We perform a theoretical analysis providing conditions for the global convergence and local quadratic conver
Externí odkaz:
http://arxiv.org/abs/2112.08308
With the increasing penetration of distributed energy resources, distributed optimization algorithms have attracted significant attention for power systems applications due to their potential for superior scalability, privacy, and robustness to a sin
Externí odkaz:
http://arxiv.org/abs/2110.11991
Autor:
Kim, Youngdae, Kim, Kibaek
We present a scalable solution method based on an alternating direction method of multipliers and graphics processing units (GPUs) for rapidly computing and tracking a solution of alternating current optimal power flow (ACOPF) problem. Such a fast co
Externí odkaz:
http://arxiv.org/abs/2110.06879
We present the implementation of a trust-region Newton algorithm ExaTron for bound-constrained nonlinear programming problems, fully running on multiple GPUs. Without data transfers between CPU and GPU, our implementation has achieved the elimination
Externí odkaz:
http://arxiv.org/abs/2106.14995