The Truncated Local Induction Approximation Model
The Evolution of the Local Induction Approximation for a Regular Polygon *
... an approximation of the dynamics of a vortex filament under the Euler ...the local induction approximation (LIA), or the Vortex Filament Equation ...
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Truncated stochastic approximation with moving bounds: convergence
... step t, which is incorporated into the procedure through the truncation operator. Consider for example a parametric statistical model. Suppose that X 1 , . . . , X t are the i.i.d. r.v.’s. and f (x, θ) is the ...
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Analytical approximation of the transition density in a local volatility model
... Analytical approximation methods in option pricing have attracted an ever increasing interest in the last ...including local, stochastic volatility and/or jumps, that generally cannot be solved in ...
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Analytical approximation of the transition density in a local volatility model
... Analytical approximation methods in option pricing have attracted an ever increasing interest in the last ...including local, stochastic volatility and/or jumps, that generally cannot be solved in ...
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Numerical approximation of the fractional HIV model using the meshless local Petrov–Galerkin method
... HIV model; Meshless local Petrov–Galerkin method 1 Introduction There are currently many countries where people are infected by the human immunode- ficiency virus ...simple model for primary infection ...
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Bayesian Network Approximation from Local Structures
... There are numerous aspects of possible further research in the presented area. We finish with showing few of them. First of all, as we have pointed out it and gave the appropriate example just after the proof of ...
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Parallel Local Approximation MCMC for Expensive Models
... forward model are not available; instead we compute the gradients using finite ...with local approximations to fare any better and, indeed, Figure 8d shows that mixing is poor for an LA+mMALA ...
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Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction
... sparse model, DBM-0, as- sumes a uniform distribution for roots of incomplete inputs and reduces conditioning contexts of stopping probabilities, which works well with split ...
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An efficient truncated SVD of large matrices based on the low-rank approximation for inverse geophysical problems
... where ∠(A, B) = arccos(σ) with the smallest singular value σ of A ∗ B . The major appli
ation of the algorithm proposed is the geophysi
al inverse problem. It onsists in determining the physi
al hara
teristi
s of a ...
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SISI Metric: Image Quality Assessment from Edge Information based on Local Polynomial Approximation Model
... by Local Polynomial Approximation (LPA) model that define the local and global features of an ...proposed model achieves better explicability of an ...
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Polynomial spline-approximation of Clarke's model
... Clarke’s Model Yuriy ...spline approximation of stationary random processes on a uniform grid applied to Clarke’s model of time variations of path amplitudes in multipath fading channels with Doppler ...
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Platonic model of mind as an approximation to neurodynamics
... The model has three time ...space. Local feature spaces model complex fea- ture extraction at the level of topographical maps, providing even more complex components building higher-level ...
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Polynomial spline-approximation of Clarke's model
... Clarke’s Model Yuriy ...spline approximation of stationary random processes on a uniform grid applied to Clarke’s model of time variations of path amplitudes in multipath fading channels with Doppler ...
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One Dimensional Chemistry and the Generalised Local Density Approximation
... Until this point studying 1D molecules has been the domain of physicists, be- ing completely ignored by chemists since the early work of Loudon [69]. This is understandable given the conclusions he reached, where under ...
180
Image Local Features Description through Polynomial Approximation
... integrate the convex optimization objective function with the sparse low-rank regularizer to describe the local image segment. The VGG descriptor is not suitable for realtime application due to its computational ...
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Local likelihood estimation of truncated regression and its partial derivatives: theory and application
... the local linear likelihood estimator sug- gests that the true derivative is constant (as it is in ...The local quadratic likelihood estimator suggests that the true derivative is slightly diminishing, ...
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Local Likelihood Estimation of Truncated Regression and Its Partial Derivatives: Theory and Application
... regression model where the support of the continuous dependent variable is bounded at a known constant at one end and when many of the observations are observed near this ...the truncated regression ...
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Approximation of Second Order Moment Processes from Local Averages
... Since signals are often of random characters, random signals play an important role in signal processing, especially in the study of sampling theorems. For this purpose, one usually uses stochastic processes which are ...
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Recognizing and visualizing copulas : an approach using local Gaussian approximation
... to model nonlinear and non-Gaussian dependence between stochastic ...developed local dependence measure, the local Gaussian Correlation, and standard copula ...the local Gaussian ...
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Dynamical vertex approximation for the attractive Hubbard model
... well as CDW close enough to half-filling) fluctuations, that in DMFT were included only at the local level. Furthermore, the data at intermediate coupling show a very different temperature trend of the DMFT and ...
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