搜索结果: 1-15 共查到“数学 smoothing”相关记录19条 . 查询时间(0.106 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Analytic smoothing effect of a class of ultra-parabolic equations
一类超抛物型方程 解析 光滑效应
2023/11/29
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Smoothing invariant is equivalent to harmonic
平滑不变 等价 谐波 调和函数
2023/4/23
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:A Squared Smoothing Newton Method for Semidefinite Programming
半定规划 平方平滑 牛顿方法
2023/4/14
Classical statistical theory ignores model selection in assessing estimation accuracy. Here we consider
bootstrap methods for computing standard errors and condence intervals that take model selecti...
On a Generalization of Blaschke’s Rolling Theorem and the Smoothing of Surfaces
Blaschke’s Rolling Theorem generalized convexity
2015/8/20
A generalization of Blaschke’s Rolling Theorem for not necessarily convex sets is proved that exhibits an
intimate connection between a generalized notion of convexity, various concepts in mathematic...
GRANULOMETRIC SMOOTHING
SMOOTHING GRANULOMETRIC
2015/8/20
A new method for smoothing a multivariate data set is introduced
that is based on a simple geometric operation. This method is applied to
the problem of estimating level sets of a density and minimu...
Marginal Likelihood Computation for Hidden Markov Models via Generalized Two-Filter Smoothing
MarginalLikelihood Sequential MonteCarlo Generalized Two-Filter Smoothing
2012/11/21
In this note we introduce an estimate for the marginal likelihood associated to hidden Markov models (HMMs) using sequential Monte Carlo (SMC) approximations of the generalized two-filter smoothing de...
E±cient Algorithm for Time-optimal Feedrate Planning and Smoothing with Conˉned Chord Error and Acceleration
Time-optimal feedrate planning chord error conˉned acceleration discrete velocity searching feedrate smoothing
2013/9/9
In this paper, an e±cient algorithm is proposed to generate a smooth near-timeoptimal feedrate function along a parametric tool path for 3-axis CNC machining under a feedrate bound, an acceleration bo...
Heavy tailed solutions of multivariate smoothing transforms
Heavy tailed solutions multivariate smoothing transforms Probability
2012/6/29
Let $N > 1$ be a fixed integer and $(C_1,..., C_N,Q)$ a random element of $GL(d, \R)^N x \R^d$. We consider solutions of multivariate smoothing transforms, i.e. random variables $R$ satisfying $$R \eq...
A Stochastic Smoothing Algorithm for Semidefinite Programming
Semidefinite programming Gaussian smoothing eigenvalue problems
2012/4/18
We use a rank one Gaussian perturbation to derive a smooth stochastic approximation of the maximum eigenvalue function. We then combine this smoothing result with an optimal smooth stochastic optimiza...
The global existence of the smoothing solution for the Navier-Stokes equations
smoothing solution Poisson’s equation heat-conduct equation the Schauder fixed-point theorem
2011/8/24
Abstract: This paper discussed the global existence of the smoothing solution for the Navier-Stokes equations. At first, we construct the theory of the linear equations which is about the unknown four...
On sub-ideal causal smoothing filters
smoothing filters casual filters sub-ideal filters Hardy spaces
2011/3/1
Smoothing filters are studied for continuous time processes. The consideration is restricted by the linear causal filters represented as convolution integrals over the historical data. This filters ar...
High-dimensional ARMA model identification and its application to healthcare picture smoothing using a forgetting factor
N-dimensional ARMA Model Forgetting factor
2010/9/21
In this paper a set of formulations of an N-dimensional (ND) autoregressive-moving average (ARMA) model identification method, and a two-dimensional (2D) forgetting factor approach in time-series mode...
Sequential Monte Carlo (SMC) methods are a widely used set of computational tools for inference in non-linear non-Gaussian state-space models. We propose a new SMC algorithm to compute the expectation...
Fixed points of the smoothing transform: Two-sided solutions
Branching random walk characteristic function general branching processes
2010/12/6
Given a sequence (C, T) = (C, T1, T2, . . .) of real-valued random variables with Tj ≥ 0 for all j ≥ 1 and almost surely finite N = sup{j ≥1 : Tj > 0}, the smoothing transform associated with (C, T), ...