搜索结果: 46-60 共查到“理学 convergence”相关记录264条 . 查询时间(0.174 秒)
Selecting fast folding proteins by their rate of convergence
Selecting fast folding proteins their rate of convergence Biological Physics
font style='font-size:12px;'>
2012/4/19
We propose a general method for predicting potentially good folders from a given number of amino acid sequences. Our approach is based on the calculation of the rate of convergence of each amino acid ...
Consensus and Products of Random Stochastic Matrices: Exact Rate for Convergence in Probability
Consensus consensus+innovations performance analysis random network convergence in probability exponential rate
font style='font-size:12px;'>
2012/3/1
Distributed consensus and other linear systems with system stochastic matrices $W_k$ emerge in various settings, like opinion formation in social networks, rendezvous of robots, and distributed infere...
Convergence analysis of a multigrid algorithm for the acoustic single layer equation
Convergence analysis multigrid algorithm acoustic single layer equation
font style='font-size:12px;'>
2012/2/29
We present and analyze a multigrid algorithm for the acoustic single layer equation in two dimensions. The boundary element formulation of the equation is based on piecewise constant test functions an...
Density Functional Resonance Theory: complex density functions, convergence, orbital energies, and functionals
Density Functional Resonance Theory complex density functions convergence orbital energies functionals
font style='font-size:12px;'>
2012/2/29
Aspects of Density Functional Resonance Theory (DFRT) [Phys. Rev. Lett. \textbf{107}, 163002 (2011)], a recently developed complex-scaled version of ground-state Density Functional Theory (DFT), are s...
Convergence of many-body wavefunction expansions using a plane wave basis: from the homogeneous electron gas to the solid state
Convergence many-body wavefunction expansions plane wave basis homogeneous electron gas solid state
font style='font-size:12px;'>
2012/2/29
Using the finite simulation-cell homogeneous electron gas (HEG) as a model, we investigate the convergence of the correlation energy to the complete basis set (CBS) limit in methods utilising plane-wa...
First Order Convergence Analysis for Sparse Grid Method in Stochastic Two-Stage Linear Optimization Problem
Convergence Analysis Stochastic Optimization Scenario Generation Convex Analysis Measure Theory
font style='font-size:12px;'>
2013/1/30
Stochastic two-stage linear optimization is an important and widely used optimization model. Efficiency of numerical integration of the second stage value function is critical. However, the second sta...
Convergence rate across the Nepal Himalaya and interseismic coupling on the Main Himalayan Thrust: Implications for seismic hazard
Convergence rate Nepal Himalaya interseismic coupling on the Main Himalayan Thrust: Implications for seismic hazard
font style='font-size:12px;'>
2014/4/15
We document geodetic strain across the Nepal Himalaya using GPS times series from 30 stations in Nepal and southern Tibet, in addition to previously published campaign GPS points and leveling data and...
A Unified Model of Neoarchean-Proterozoic Convergence and Rifting of Indian Cratons: Geophysical Constraints
Indian Shield Convergence Collision Triple Junction and Gravity Anomaly
font style='font-size:12px;'>
2013/3/7
Neoarchean and Proterozoic sutures and collision zones are identified in the Indian Peninsular Shield based on high seismic velocity; gravity highs and high conductivity in the upper crust due to thru...
Convergence of phase noise in DPSK transmission systems by novel phase noise averagers
font style='font-size:12px;'>
2011/11/23
This investigation proposes a novel all-optical phase noise averager to reduce residual phase noise in the differential phase-shift keying (DPSK) transmission system with phase-preserving amplitude re...
Convergence Analysis of Coefficient Regularized Classification Online Algorithms
Classification algorithm online learning coefficient regularization error analysis
font style='font-size:12px;'>
2011/11/9
The present paper considers online classification learning algorithms associated with convex loss functions, and gives the error analysis of coefficient regularized online classification algorithms. T...
Exponential convergence rates of second quantization semigroups and applications
Convergence rate tail norm entropy second quantization
font style='font-size:12px;'>
2011/11/4
Exponentialconvergence rates in the L2-tail norm and entropy are characterized forthe second quantization semigroups by using the corresponding baseDirichlet form. This supplements the well known resu...
On the rate of convergence to equilibrium for a non-isothermal viscous Cahn-Hilliard equation
Partial differential equation Cahn-Hilliard equation Maxwell-Cattaneo's law convergence rate
font style='font-size:12px;'>
2011/10/14
In this short note, a model describing non-isothermal fast phase separation processes taking place in a three-dimensional bounded domain is considered. The model consists of a viscous Cahn-Hilliard eq...
The extension and convergence of mean curvature flow in higher codimension
extension convergence mean curvature higher codimension
font style='font-size:12px;'>
2018/4/19
In this paper, we first investigate the integral curvature condition to extend the mean curvature flow of submanifolds in a Riemannian manifold with codimension d 1, which generalizes the extension t...
Uniform convergence analysis of an upwind finite difference approximations of an homogenous singularly perturbed boundary value problem using grid equidistribution
singular perturbation adaptive grid rate of convergence error estimate
font style='font-size:12px;'>
2011/10/13
We derive varepsilon-uniform error estimates for two first-order upwind discretizations of a model inhomogeneous, second-order, singularly perturbed boundary value problem on a non-uniform grid. Here,...
Convergence and Rate Analysis of Neural Networks for Sparse Approximation
Locally Competitive Algorithm sparse approximation global stability exponential convergence non-smooth objective
font style='font-size:12px;'>
2011/9/23
Abstract: We present an analysis of the Locally Competitive Algorithm (LCA), a Hopfield-style neural network that solves sparse approximation problems (e.g., approximating a vector from a dictionary u...