Zobrazeno 1 - 10
of 24 909
pro vyhledávání: '"Operator splitting"'
In this paper, we derive a three-operator splitting scheme for solving monotone inclusion and convex optimization problems from the three-block ADMM method on the dual problem. The proposed scheme can be regarded as an extension of the Douglas-Rachfo
Externí odkaz:
http://arxiv.org/abs/2411.00166
The aim of this paper is to study the weak convergence analysis of sequence of iterates generated by a three-operator splitting method of Davis and Yin incorporated with two-step inertial extrapolation for solving monotone inclusion problem involving
Externí odkaz:
http://arxiv.org/abs/2410.01099
Most robotics applications are typically accompanied with safety restrictions that need to be satisfied with a high degree of confidence even in environments under uncertainty. Controlling the state distribution of a system and enforcing such specifi
Externí odkaz:
http://arxiv.org/abs/2411.11211
Operator-splitting methods are widespread in the numerical solution of differential equations, especially the initial-value problems in ordinary differential equations that arise from a method-of-lines discretization of partial differential equations
Externí odkaz:
http://arxiv.org/abs/2407.05475
Autor:
Spiteri, Raymond J., Wei, Siqi
The use of operator-splitting methods to solve differential equations is widespread, but the methods are generally only defined for a given number of operators, most commonly two. Most operator-splitting methods are not generalizable to problems with
Externí odkaz:
http://arxiv.org/abs/2407.02677
Autor:
Wilhelm, Maite, Zwart, Simon Portegies
Publikováno v:
A&A 691, A71 (2024)
We present {\sc Venice}, an operator splitting algorithm to integrate a numerical model on a hierarchy of timescales. {\sc Venice} allows a wide variety of different physical processes operating a different scales to be coupled on individual and adap
Externí odkaz:
http://arxiv.org/abs/2407.20332
Autor:
Vu-Quoc, Loc, Humer, Alexander
Publikováno v:
International Journal for Numerical Methods in Engineering, 2024;e7586
Several forms for constructing novel physics-informed neural-networks (PINN) for the solution of partial-differential-algebraic equations based on derivative operator splitting are proposed, using the nonlinear Kirchhoff rod as a prototype for demons
Externí odkaz:
http://arxiv.org/abs/2408.01914
Operator splitting methods tailored to coupled linear port-Hamiltonian systems are developed. We present algorithms that are able to exploit scalar coupling, as well as multirate potential of these coupled systems. The obtained algorithms preserve th
Externí odkaz:
http://arxiv.org/abs/2406.17311
In this work, we address a class of nonconvex nonsmooth optimization problems where the objective function is the sum of two smooth functions (one of which is proximable) and two nonsmooth functions (one proper, closed and proximable, and the other c
Externí odkaz:
http://arxiv.org/abs/2406.16025