Results 91 to 100 of about 330,664 (214)
Convex optimization for maximizing the degradation efficiency of chloroquine in a flow-by electrochemical reactor. [PDF]
J Solid State Electrochem, 2023 Regalado-Méndez A +3 more
europepmc +1 more source
Convex optimization of contour deformations
Physical Review DWe discuss various formal aspects of contour deformations used to alleviate sign problems; most importantly, relating these contour deformations to a certain convex optimization problem. As a consequence of this connection we describe a general method for proving upper bounds on the average phase achievable by the contour deformation method. Using this
Scott Lawrence, Yukari Yamauchi
openaire +2 more sources
A Convex Optimization Approach to Multi-Robot Task Allocation and Path Planning. [PDF]
Sensors (Basel), 2023 Lei T, Chintam P, Luo C, Liu L, Jan GE.
europepmc +1 more source
On the connections between algorithmic regularization and penalization for convex losses [PDF]
arXiv, 2019 In this work we establish the equivalence of algorithmic regularization and explicit convex penalization for generic convex losses. We introduce a geometric condition for the optimization path of a convex function, and show that if such a condition is satisfied, the optimization path of an iterative algorithm on the unregularized optimization problem ...
arxiv
Energy Reports, 2020 This paper presents the development of a new hybrid optimization technique termed as Immune-Commensal-Evolutionary Programming (ICEP) and its implementation to solve non-smooth/ non-convex Economic Dispatch (ED) problem.
Mohd Helmi Mansor +5 more
doaj
First-Order Methods for Convex Optimization
EURO Journal on Computational Optimization, 2021 First-order methods for solving convex optimization problems have been at the forefront of mathematical optimization in the last 20 years. The rapid development of this important class of algorithms is motivated by the success stories reported in various
Pavel Dvurechensky +2 more
doaj
Disciplined Geodesically Convex Programming [PDF]
arXivConvex programming plays a fundamental role in machine learning, data science, and engineering. Testing convexity structure in nonlinear programs relies on verifying the convexity of objectives and constraints. \citet{grant2006disciplined} introduced a framework, Disciplined Convex Programming (DCP), for automating this verification task for a wide ...
arxiv
Implementing Convex Optimization in R: Two Econometric Examples [PDF]
arXiv, 2018 Economists specify high-dimensional models to address heterogeneity in empirical studies with complex big data. Estimation of these models calls for optimization techniques to handle a large number of parameters. Convex problems can be effectively executed in modern statistical programming languages.
arxiv
An innovative inertial extra-proximal gradient algorithm for solving convex optimization problems with application to image and signal processing. [PDF]
Heliyon, 2023 Olilima J +5 more
europepmc +1 more source
Tongxin xuebao, 2021 For the channel uncertainty and security problems in wireless powered backscatter communication (WPBC) system, a robust chance-constrained optimization algorithm was proposed.Firstly, an optimization problem was established to maximize the minimum ...
Wanming HAO +4 more
doaj