Results 11 to 20 of about 1,344,268 (333)

A finite difference method for piecewise deterministic processes with memory

open access: yesMathematical Modelling and Analysis, 2007
In this paper the numerical approximation of solutions of Liouville‐Master Equation for time‐dependent distribution functions of Piecewise Deterministic Processes with memory is considered.
Mario Annunziato
doaj   +5 more sources

Data‐driven performance metrics for neural network learning

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri   +2 more
wiley   +1 more source

Efficient finite-difference method for computing sensitivities of biochemical reactions [PDF]

open access: yesProc Math Phys Eng Sci, 2018
Sensitivity analysis of biochemical reactions aims at quantifying the dependence of the reaction dynamics on the reaction rates. The computation of the parameter sensitivities, however, poses many computational challenges when taking stochastic noise ...
Thanh V, Zunino R, Priami C.
europepmc   +2 more sources

Hybrid finite difference/finite element immersed boundary method [PDF]

open access: yes, 2017
The immersed boundary method is an approach to fluid-structure interaction that uses a Lagrangian description of the structural deformations, stresses, and forces along with an Eulerian description of the momentum, viscosity, and incompressibility of ...
Griffith, Boyce E., Luo, Xiaoyu
core   +3 more sources

Real space finite difference method for conductance calculations [PDF]

open access: yes, 2004
We present a general method for calculating coherent electronic transport in quantum wires and tunnel junctions. It is based upon a real space high order finite difference representation of the single particle Hamiltonian and wave functions.
A. Levy Yeyati   +11 more
core   +4 more sources

Uncertainty Analyses in the Finite-Difference Time-Domain Method [PDF]

open access: yes, 2010
Providing estimates of the uncertainty in results obtained by Computational Electromagnetic (CEM) simulations is essential when determining the acceptability of the results.
Edwards, R.S.   +2 more
core   +1 more source

Computer Analysis of Dielectric Waveguides: A Finite-Difference Method [PDF]

open access: yes, 1984
A method for computing the modes of dielectric guiding structures based on finite differences is described. The numerical computation program is efficient and can be applied to a wide range of problems.
Bridges, William B., Schweig, Edgard
core   +1 more source

A parameter uniform method for two-parameter singularly perturbed boundary value problems with discontinuous data

open access: yesMethodsX, 2023
We consider two-parameter singularly perturbed problems of reaction-convection-diffusion type in one dimension. The convection coefficient and source term are discontinuous at a point in the domain.
Nirmali Roy, Anuradha Jha
doaj  

Finite Difference Method for Intuitionistic Fuzzy Partial Differential Equations

open access: yesComputer Sciences & Mathematics Forum, 2023
In this paper, we investigate an intuitionistic fuzzy Poisson equation with uncertain parameters, considering the parameters as intuitionistic fuzzy numbers. We apply a finite difference method to solve the ‘Intuitionistic fuzzy Poisson equation’.
Sushanta Man   +3 more
doaj   +1 more source

Comparison Study on the Performances of Finite Volume Method and Finite Difference Method

open access: yesJournal of Applied Mathematics, 2013
Vorticity-stream function method and MAC algorithm are adopted to systemically compare the finite volume method (FVM) and finite difference method (FDM) in this paper.
Renwei Liu   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy