Zobrazeno 1 - 10
of 1 085 473
pro vyhledávání: '"Wolfe IN"'
Autor:
Gonen, Jay Y.
Publikováno v:
Journal of Psychohistory. Summer2024, Vol. 52 Issue 1, p3-32. 30p.
Autor:
Mark Canada, Nami Montgomery
A collection of reminiscences captures the private life of a great American writer. Thomas Wolfe's life may seem to be an open book. A life that, after all, was the source for his best-known works, including the novels Look Homeward, Angel and Of Tim
Autor:
Besançon, Mathieu, Kurtz, Jannis
We tackle robust optimization problems under objective uncertainty in the oracle model, i.e., when the deterministic problem is solved by an oracle. The oracle-based setup is favorable in many situations, e.g., when a compact formulation of the feasi
Externí odkaz:
http://arxiv.org/abs/2411.19848
Autor:
Fersztand, David, Sun, Xu Andy
The proximal bundle algorithm (PBA) is a fundamental and computationally effective algorithm for solving optimization problems with nonsmooth components. We investigate its convergence rate, focusing on composite settings where one function is smooth
Externí odkaz:
http://arxiv.org/abs/2411.15926
Column generation is used alongside Dantzig-Wolfe Decomposition, especially for linear programs having a decomposable pricing step requiring to solve numerous independent pricing subproblems. We propose a filtering method to detect which pricing subp
Externí odkaz:
http://arxiv.org/abs/2411.11338
Autor:
Steve Hawke
Meet the Brothers Wolfe. Elliot Wolfe: ambitious, ruthless and living for the thrill of the deal. Athol Wolfe: a young man trying to find a place outside his big brother's shadow.Include maiden aunt with a long memory, a mild-mannered father reluctan
Autor:
Fan, Zhuoxin, Tang, Liping
Recently the away-step Frank-Wolfe algoritm for constrained multiobjective optimization has been shown linear convergence rate over a polytope which is generated by finite points set. In this paper we design a decomposition-invariant pairwise frank-w
Externí odkaz:
http://arxiv.org/abs/2409.04671
We propose the pivoting meta algorithm (PM) to enhance optimization algorithms that generate iterates as convex combinations of vertices of a feasible region $C\subseteq \mathbb{R}^n$, including Frank-Wolfe (FW) variants. PM guarantees that the activ
Externí odkaz:
http://arxiv.org/abs/2407.11760
We discuss the problem of projecting a point onto an arbitrary hyperbolicity cone from both theoretical and numerical perspectives. While hyperbolicity cones are furnished with a generalization of the notion of eigenvalues, obtaining closed form expr
Externí odkaz:
http://arxiv.org/abs/2407.09213