Zobrazeno 1 - 10
of 189
pro vyhledávání: '"Cosmin, G"'
We present a scalable approach to solve a class of elliptic partial differential equation (PDE)-constrained optimization problems with bound constraints. This approach utilizes a robust full-space interior-point (IP)-Gauss-Newton optimization method.
Externí odkaz:
http://arxiv.org/abs/2410.14918
Design optimization problems, e.g., shape optimization, that involve deformable bodies in unilateral contact are challenging as they require robust contact solvers, complex optimization methods that are typically gradient-based, and sensitivity deriv
Externí odkaz:
http://arxiv.org/abs/2405.03081
Autor:
Wang, Jingyi, Petra, Cosmin G.
A sequential quadratic programming (SQP) algorithm is designed for nonsmooth optimization problems with upper-C^2 objective functions. Upper-C^2 functions are locally equivalent to difference-of-convex (DC) functions with smooth convex parts. They ar
Externí odkaz:
http://arxiv.org/abs/2310.19286
Publikováno v:
Computational Optimization and Applications 80:55-88 (2021)
For general large-scale optimization problems compact representations exist in which recursive quasi-Newton update formulas are represented as compact matrix factorizations. For problems in which the objective function contains additional structure,
Externí odkaz:
http://arxiv.org/abs/2208.00057
Autor:
Aravena, Ignacio, Molzahn, Daniel K., Zhang, Shixuan, Petra, Cosmin G., Curtis, Frank E., Tu, Shenyinying, Wächter, Andreas, Wei, Ermin, Wong, Elizabeth, Gholami, Amin, Sun, Kaizhao, Sun, Xu Andy, Elbert, Stephen T., Holzer, Jesse T., Veeramany, Arun
The optimal power flow problem is central to many tasks in the design and operation of electric power grids. This problem seeks the minimum cost operating point for an electric power grid while satisfying both engineering requirements and physical la
Externí odkaz:
http://arxiv.org/abs/2206.07843
Autor:
Wang, Jingyi, Petra, Cosmin G.
An optimization algorithm for nonsmooth nonconvex constrained optimization problems with upper-C2 objective functions is proposed and analyzed. Upper-C2 is a weakly concave property that exists in difference of convex (DC) functions and arises natura
Externí odkaz:
http://arxiv.org/abs/2204.09631
Autor:
Wang, Jingyi, Petra, Cosmin G.
An optimization algorithm for a group of nonsmooth nonconvex problems inspired by two-stage stochastic programming problems is proposed. The main challenges for these problems include (1) the problems lack the popular lower-type properties such as pr
Externí odkaz:
http://arxiv.org/abs/2203.17215
Autor:
Regev, Shaked, Chiang, Nai-Yuan, Darve, Eric, Petra, Cosmin G., Saunders, Michael A., Świrydowicz, Kasia, Peleš, Slaven
We propose a solution strategy for linear systems arising in interior method optimization, which is suitable for implementation on hardware accelerators such as graphical processing units (GPUs). The current gold standard for solving these systems is
Externí odkaz:
http://arxiv.org/abs/2110.03636
Autor:
Petra, Cosmin G., Aravena, Ignacio
We present a decomposition approach for obtaining good feasible solutions for the security-constrained alternating-current optimal power flow (SCACOPF) problem at an industrial scale and under real-world time and computational limits. The approach ai
Externí odkaz:
http://arxiv.org/abs/2110.01669