Zobrazeno 1 - 10
of 2 455
pro vyhledávání: '"65k05"'
Autor:
Lara, Felipe, Vega, Cristian
We study non-convex delayed-noise online optimization problems by evaluating dynamic regret in the non-stationary setting when the loss functions are quasar-convex. In particular, we consider scenarios involving quasar-convex functions either with a
Externí odkaz:
http://arxiv.org/abs/2412.14506
Finding zeros of the sum of two maximally monotoneoperators involving a continuous linear operator is a central problem in optimization and monotone operator theory. We revisit the duality framework proposed by Eckstein, Ferris, Pennanen, and Robinso
Externí odkaz:
http://arxiv.org/abs/2412.11880
In this paper, we derive a Fast Reflected Forward-Backward (Fast RFB) algorithm to solve the problem of finding a zero of the sum of a maximally monotone operator and a monotone and Lipschitz continuous operator in a real Hilbert space. Our approach
Externí odkaz:
http://arxiv.org/abs/2412.11505
This work concerns the zeroth-order global minimization of continuous nonconvex functions with a unique global minimizer and possibly multiple local minimizers. We formulate a theoretical framework for inexact proximal point (IPP) methods for global
Externí odkaz:
http://arxiv.org/abs/2412.11485
A challenge in high-dimensional inverse problems is developing iterative solvers to find the accurate solution of regularized optimization problems with low computational cost. An important example is computed tomography (CT) where both image and dat
Externí odkaz:
http://arxiv.org/abs/2412.10249
This paper presents evS2CP, an optimization-based framework for simultaneous speed and charging planning designed for connected electric vehicles (EVs). With EVs emerging as competitive alternatives to internal combustion engine vehicles, overcoming
Externí odkaz:
http://arxiv.org/abs/2412.09109
In practice, non-specialized interior point algorithms often cannot utilize the massively parallel compute resources offered by modern many- and multi-core compute platforms. However, efficient distributed solution techniques are required, especially
Externí odkaz:
http://arxiv.org/abs/2412.07731
Algebraic methods applied to the reconstruction of Sparse-view Computed Tomography (CT) can provide both a high image quality and a decrease in the dose received by patients, although with an increased reconstruction time since their computational co
Externí odkaz:
http://arxiv.org/abs/2412.07631
Autor:
Yepes, Isabela M., Goyal, Manasvi
This study investigates the applicability of Singular Value Decomposition for the image classification of specific breeds of cats and dogs using fur color as the primary identifying feature. Sequential Quadratic Programming (SQP) is employed to const
Externí odkaz:
http://arxiv.org/abs/2412.07288
In this paper, we introduce an inexact approach to the Boosted Difference of Convex Functions Algorithm (BDCA) for solving nonconvex and nondifferentiable problems involving the difference of two convex functions (DC functions). Specifically, when th
Externí odkaz:
http://arxiv.org/abs/2412.05697