Parallelization of a ray tracer using the SANEG algorithm.
Parallelization of artificial immune systems using a massive parallel approach via modern GPUs
Parallelization is one of possible approaches for obtaining better results in terms of algorithm performance and overcome the limits of the sequential computation. In this paper, we present a study of parallelization of the opt-aiNet algorithm which comes from Artificial Immune Systems, one part of large family of population based algorithms inspired by nature. The opt-aiNet algorithm is based on an immune network theory which incorporates knowledge about mammalian immune systems in order to create...
Parallelization of Random Number Generators and Long-Range Correlations.
Parameter estimation for partial differential equations by collage-based numerical approximation.
Parameter estimation in non-linear mixed effects models with SAEM algorithm: extension from ODE to PDE
Parameter estimation in non linear mixed effects models requires a large number of evaluations of the model to study. For ordinary differential equations, the overall computation time remains reasonable. However when the model itself is complex (for instance when it is a set of partial differential equations) it may be time consuming to evaluate it for a single set of parameters. The procedures of population parametrization (for instance using SAEM algorithms) are then very long and in some cases...
Parameter optimization in nonzero-sum differential games
Parameter Tuning and Repeated Application of the IMT-type Transformation in Numerical Quadrature.
Parameterization and R-peak error estimations of ECG signals using independent component analysis.
Parameter-uniform fitted mesh method for quasilinear differential equations with boundary layers.
Parameter-uniform fitted mesh method for singularly perturbed delay differential equations with layer behavior.
Parameter-uniform fitted operator B-spline collocation method for self-adjoint singularly perturbed two-point boundary value problems.
Parametric and nonparametric empirical regression models: case study of copper bromide laser generation.
Parametric inference for mixed models defined by stochastic differential equations
Non-linear mixed models defined by stochastic differential equations (SDEs) are considered: the parameters of the diffusion process are random variables and vary among the individuals. A maximum likelihood estimation method based on the Stochastic Approximation EM algorithm, is proposed. This estimation method uses the Euler-Maruyama approximation of the diffusion, achieved using latent auxiliary data introduced to complete the diffusion process between each pair of measurement instants. A tuned...
Parametric representation of quadric surfaces
Parametrically excited nonlinear systems: A comparison of two methods.
Paramétrixes pour une classe d'opérateurs hypoelliptiques
Parametrization via Secant Length and Application to Path Following.
Parareal operator splitting techniques for multi-scale reaction waves: Numerical analysis and strategies
In this paper, we investigate the coupling between operator splitting techniques and a time parallelization scheme, the parareal algorithm, as a numerical strategy for the simulation of reaction-diffusion equations modelling multi-scale reaction waves. This type of problems induces peculiar difficulties and potentially large stiffness which stem from the broad spectrum of temporal scales in the nonlinear chemical source term as well as from the presence of large spatial gradients in the reactive...
Parareal operator splitting techniques for multi-scale reaction waves: Numerical analysis and strategies
In this paper, we investigate the coupling between operator splitting techniques and a time parallelization scheme, the parareal algorithm, as a numerical strategy for the simulation of reaction-diffusion equations modelling multi-scale reaction waves. This type of problems induces peculiar difficulties and potentially large stiffness which stem from the broad spectrum of temporal scales in the nonlinear chemical source term as well as from the presence of large spatial gradients in the reactive...
Partial convergence and sign convergence of matrix powers via eigen c-ads.