In line with this observation, we propose a class of adaptive algorithms to find effective sampling strategies that control the length of sampled trajectories.
People also ask
What is an adaptive sampling method?
Adaptive sampling is a technique used in computational molecular biology to efficiently simulate protein folding when coupled with molecular dynamics simulations.
What is an example of adaptive cluster sampling?
An example is given in which the initial sample of trees is selected with probability proportional to tree basal area. If a characteristic of interest is observed on a sample tree, additional trees within a fixed distance of the sample tree are also included in the sample.
What is the adaptive sampling rate?
Whereas the sample rate is the configured number of egress or ingress packets out of which one packet is sampled, the adaptive sample rate is the maximum number of samples that should be generated per line card, that is, it's the limit given to adaptive sampling.
What is adaptive sampling of functions?
We introduce an adaptive sampling strategy that balances exploration and exploitation, allowing high-efficiency searching of the global optimum during the optimization process. The adaptive sampling strategy substantially reduces the number of evaluations of the true functions required to find the optimal solutions.
Dec 11, 2023 · Adaptive sampling methods are focused on accelerating the sampling of state transitions and the convergence of thermodynamic and kinetic models ...
Missing: dynamical systems.
Duration: 29:35
Posted: Aug 30, 2022
Posted: Aug 30, 2022
Feb 1, 2023 · We perform dynamic selection of critical samples and develop an adaptive sampling-learning method for dynamical systems based on the ...
Jul 18, 2023 · We begin our treatment with an overview of theoretically transparent methods where we discuss principles and guidelines for adaptive sampling.
Missing: dynamical | Show results with:dynamical
Jul 18, 2023 · Molecular Dynamics (MD) simulations are fundamental computational tools for the study of proteins and their free energy landscapes.
Duration: 2:16:13
Posted: Feb 7, 2023
Posted: Feb 7, 2023
Jul 18, 2023 · We begin our treatment with an overview of theoretically transparent methods where we discuss principles and guidelines for adaptive sampling.
Nov 5, 2021 · In this contribution, we propose a novel methodology to adaptively sample rigorous dynamic process models to generate a dataset for building ...
Adaptive sampling is a strategic approach employed during the training of PINNs to dynamically select or reallocate sample points, aiming to boost the network's ...