Results 31 to 40 of about 637 (140)
On the Novak number of a hyperspace [PDF]
summary:An estimate for the Novak number of a hyperspace with the Vietoris topology is given.
Costantini, Camillo, Bella, Angelo
core
Application of a Selection Theorem to Hyperspace Contractibility
For X a metric continuum, 2X denotes the hyper space of all nonempty subcompacta, with the topology induced by the Hausdorff metric H, and C(X) ⊂ 2X the hyperspace of subcontinua. These hyperspaces are continua, in fact are arcwise-connected, since there
D. W. Curtis
core +1 more source
Integration of Physics‐Based and Data‐Driven Approaches for Landslide Susceptibility Assessment
ABSTRACT Rainfall‐triggered landslides pose a significant threat to communities and infrastructure around the world. Various data‐driven and machine learning (ML) based algorithms have been applied to assess landslide susceptibility. However, purely data‐driven methods are affected by issues such as uncertainty in the selection of landslide ...
Yi Han, Shabnam J. Semnani
wiley +1 more source
Dendrites with unique hyperspace C2(X)
Let Y be a metric continuum. Let Cn(Y) be the hyperspace of nonempty closed subsets of Y with at most n components. In this paper we show that if X is a dendrite with closed set of end points and C2(X) is homeomorphic to C2(Y), for some dendrite Y, then ...
Illanes, Alejandro +3 more
core +1 more source
Augury and Forerunner: Real‐Time Feedback Via Predictive Numerical Optimization and Input Prediction
Transient information generated by solver steps can inform future objective function minimization. In Augury, we explore the impact of predictive numerical optimization by using solver history to predict future minimization solutions, reducing computational resources needed to arrive at convergent states for a broad class of gradient‐based optimization
J. Graus, Y. Gingold
wiley +1 more source
ABSTRACT Construction planning is a critical and complex phase in the deployment of large‐scale renewable energy infrastructure. This study applies artificial intelligence techniques to a domain‐specific problem that has traditionally relied on expert judgement: the generation of detailed construction schedules for photovoltaic power plants.
Manuel Ángel López Ferreiro +3 more
wiley +1 more source
Compactifications of [0,∞) with unique hyperspace Fn(X)
Given a metric continuum X, Fn(X) denotes the hyperspace of nonempty subsets of X with at most n elements. In this paper we show the following result. Suppose that X is a metric compactification of [0,∞), Y is a continuum and Fn(X) is homemorphic to Fn(Y)
Alejandro Illanes +3 more
core +1 more source
Abstract Physical hazards pose risks to many critical systems. Designing adaptive measures to mitigate these risks is challenging due to large uncertainties in modeling future hazards and the associated sectoral responses. Here, we help address this challenge in a hydrologic context by examining the combined role of meteorological forcing and ...
David C. Lafferty +6 more
wiley +1 more source
Physics‐Based Inverse Modeling of Battery Degradation with Bayesian Methods
Active parameterization of physics‐based models is essential to drive battery science. However, due to the model's complexity, parameterization is an ill‐posed problem with uncertainties in models and data. In this article, Bayesian methods are applied to physical degradation models to show sample‐efficient parameterization with uncertainty ...
Micha C. J. Philipp +3 more
wiley +1 more source
Induced maps on n-fold hyperspaces
For a given map between continua we study the induced maps between n-fold hyperspaces and between n-fold hyperspace suspensions. Our results on n-fold hyperspaces extend some results that are known for the induced maps between the hyperspace of ...
López, MDJ, Macias, S
core

