Results 71 to 80 of about 22,103,434 (252)
On the Convergence Results for Gradient Descent Systems
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT This paper aims to advance the theoretical understanding of gradient flow and gradient descent optimization methods by establishing rigorous convergence results for continuous‐time gradient flow equations and discrete gradient descent processes.
Arzu Ahmadova
wiley +1 more source
Nonsmooth analysis of doubly nonlinear evolution equations [PDF]
Calculus of Variations and Partial Differential Equations, 2012 45 ...
Mielke Alexander +2 more
openaire +7 more sources
Biodiversity–food trade‐offs when agricultural land is spared from production
American Journal of Agricultural Economics, EarlyView.Abstract Biodiversity conservation in agricultural landscapes, the world's predominant land use, could involve sparing, or setting aside, agricultural land from production, implying biodiversity–food trade‐offs. Employing bird species and agricultural data in two panel data sets, we evaluate the extent of set‐aside's trade‐offs in England between 1992 ...
Charles Palmer +3 more
wiley +1 more source
Semiactive Nonsmooth Control for Building Structure with Deep Learning
Complexity, 2017 Aiming at suppressing harmful effect for building structure by surface motion, semiactive nonsmooth control algorithm with Deep Learning is proposed. By finite-time stable theory, the building structure closed-loop system’s stability is discussed under ...
Qing Wang +3 more
doaj +1 more source
Stochastic Block Mirror Descent Methods for Nonsmooth and Stochastic Optimization [PDF]
, 2013 In this paper, we present a new stochastic algorithm, namely the stochastic block mirror descent (SBMD) method for solving large-scale nonsmooth and stochastic optimization problems. The basic idea of this algorithm is to incorporate the block-coordinate
Dang, Cong D., Lan, Guanghui
core
International Transactions in Operational Research, EarlyView.Abstract We propose the novel p‐branch‐and‐bound method for solving two‐stage stochastic programming problems whose deterministic equivalents are represented by non‐convex mixed‐integer quadratically constrained quadratic programming (MIQCQP) models. The precision of the solution generated by the p‐branch‐and‐bound method can be arbitrarily adjusted by
Nikita Belyak, Fabricio Oliveira
wiley +1 more source
Compactifications of strata of differentials
Bulletin of the London Mathematical Society, EarlyView.Abstract In this informal expository note, we quickly introduce and survey compactifications of strata of holomorphic 1‐forms on Riemann surfaces, that is, spaces of translation surfaces. In the last decade, several of these have been constructed, studied, and successfully applied to problems.
Benjamin Dozier
wiley +1 more source
Introduction to Nonsmooth Analysis and Optimization
, 2020 This book aims to give an introduction to generalized derivative concepts useful in deriving necessary optimality conditions and numerical algorithms for infinite-dimensional nondifferentiable optimization problems that arise in inverse problems, imaging, and PDE-constrained optimization.
Clason, Christian, Valkonen, Tuomo
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Analysis of a nonsmooth optimization approach to robust estimation [PDF]
Automatica, 2016 In this paper, we consider the problem of identifying a linear map from measurements which are subject to intermittent and arbitarily large errors. This is a fundamental problem in many estimation-related applications such as fault detection, state estimation in lossy networks, hybrid system identification, robust estimation, etc.
Bako, Laurent, Ohlsson, Henrik
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Communications on Pure and Applied Mathematics, Volume 78, Issue 9, Page 1656-1702, September 2025.Abstract Let (Mn,g)$(M^n,g)$ be a complete Riemannian manifold which is not isometric to Rn$\mathbb {R}^n$, has nonnegative Ricci curvature, Euclidean volume growth, and quadratic Riemann curvature decay. We prove that there exists a set G⊂(0,∞)$\mathcal {G}\subset (0,\infty)$ with density 1 at infinity such that for every V∈G$V\in \mathcal {G}$ there ...
Gioacchino Antonelli +2 more
wiley +1 more source