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[PDF] Top 20 Numerical Approximation to Spherical Functions by Regularization method

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Numerical Approximation to Spherical Functions by Regularization method

Numerical Approximation to Spherical Functions by Regularization method

... P P is the linear space of spherical polynomial of degree ≤ L . Regularazation operator R L is a linear operator which can be chosen in different ways, and λ > 0 is a parameter. Many different approximations ... See full document

5

Application of the Meshless Local Petrov-Galerkin Method to Unsteady, Multi-Dimensional Fluid Dynamics with Interfaces.

Application of the Meshless Local Petrov-Galerkin Method to Unsteady, Multi-Dimensional Fluid Dynamics with Interfaces.

... (MLPG) method is a numerical framework for solving partial differential ...This method is unique in that it uses the governing equations in the local symmetric weak form and does not rely on a ... See full document

124

Numerical Methods for Fredholm Integral Equations of the First Kind

Numerical Methods for Fredholm Integral Equations of the First Kind

... approximations method to reduce the Fredholm integral equations to the solution of algebraic ...Galerkin method, to reduce the solution of Fredholm equations of the first kind to a system of algebraic ... See full document

6

Numerical methods for the interpolation and approximation of data by spline functions

Numerical methods for the interpolation and approximation of data by spline functions

... o purely arithm etic statements is freq u en tly a small percentage o f the t o t a l tim e. The bulk o f the time i s often spent in referen cin g (e it h e r fetch in g or sto rin g) array v a ria b le s, fo r - or DO- ... See full document

366

Measurable functions approach for approximate solutions of Linear space-time-fractional diffusion problems

Measurable functions approach for approximate solutions of Linear space-time-fractional diffusion problems

... developing numerical schemes for their ...the numerical solu- tions of such problems is their solutions, which often are represented in terms of Mittag–Leffler functions, where these functions ... See full document

24

A posteriori truncated regularization method for identifying unknown heat source on a spherical symmetric domain

A posteriori truncated regularization method for identifying unknown heat source on a spherical symmetric domain

... the method of fundamental solutions and radial ba- sis functions to identify the unknown heat ...truncation method and the wavelet dual least squares method to identify the spatial vari- able ... See full document

11

Reconstruction of multiplicative space- and time-dependent sources

Reconstruction of multiplicative space- and time-dependent sources

... a numerical regularization approach to the simultaneous deter- mination of multiplicative space- and time-dependent source functions in a nonlinear inverse heat conduction problem with homogeneous ... See full document

25

On numerical solutions of fuzzy differential equations

On numerical solutions of fuzzy differential equations

... Homotopy method is based on continuos mappings ( ) → ( ; ) and ( ) → ( ; ...the functions ( ; ) and ( ; ) varies from an initial approximation to the exact ... See full document

9

A Numerical Integration Method by Using
 Generalized Series of Functions

A Numerical Integration Method by Using Generalized Series of Functions

... In Section 2 we represent some basic concepts of our work and after that use them to approximate a definite integral in Section 3. By this method of approximation a definite integral can be computed by using ... See full document

11

A Computational Method with MAPLE for a Piecewise Polynomial Approximation to the Trigonometric Functions

A Computational Method with MAPLE for a Piecewise Polynomial Approximation to the Trigonometric Functions

... Algorithm 2 in [6] that is chosen here to be implemented with MAPLE (or any of Computer Algebra Systems (CAS), if possible) has the great advantage: only using arithmetic calculations on finite rational numbers and ... See full document

11

The truncation regularization method for identifying the initial value of heat equation on a spherical symmetric domain

The truncation regularization method for identifying the initial value of heat equation on a spherical symmetric domain

... a spherical symmetric domain is investigated. The truncation regularization method is a powerful technique for solving this inverse ...the regularization solution and the exact solution under ... See full document

12

Method for Integrating Tabular Functions that Considers Errors

Method for Integrating Tabular Functions that Considers Errors

... The numerical integration of signals given in tabular form is usually conducted using quadrature formulas, and experimental errors are not taken into ...new method for solving the problem of numerically ... See full document

5

First order Two-Scale Particle-in-Cell numerical method for the
          Vlasov equation

First order Two-Scale Particle-in-Cell numerical method for the Vlasov equation

... For the second step of the algorithm, we need to recover an approximation of the space derivatives of G thanks to the particle approximation of G. Therefore, a regularization of approximation ... See full document

13

Numerical solutions of second order matrix differential equations using basis splines

Numerical solutions of second order matrix differential equations using basis splines

... B-splines functions to develop a numerical method for obtaining approximation solution numerical solution of the matrix differential equations of second order with boundary ... See full document

11

A high accuracy numerical method based on spectral theory of compact operator for biharmonic eigenvalue equations

A high accuracy numerical method based on spectral theory of compact operator for biharmonic eigenvalue equations

... accuracy numerical method based on the spectral theory of compact operator for biharmonic eigenvalue equations on a spherical domain is ...orthogonal spherical polynomials approximation ... See full document

11

Application of Daubechies wavelets for solving Kuramoto-Sivashinsky‎ type equations

Application of Daubechies wavelets for solving Kuramoto-Sivashinsky‎ type equations

... the numerical solution of Kuramoto- Sivashinsky type equations by using Daubechies scaling functions as a spatial approximation for derivatives of ...three-step method based on a Taylor series ... See full document

10

Solving high order ordinary differential equations with radial basis function networks

Solving high order ordinary differential equations with radial basis function networks

... collocation method, the original function and its derivatives are all ex- pressed as linear combinations of basis functions, which are associated with the same set of network ...quadrics/Gaussian ... See full document

53

Applying Shannon Wavelet Basis Functions to the Method of Moments for Evaluating the Radar Cross Section of the Conducting and Resistive Surfaces

Applying Shannon Wavelet Basis Functions to the Method of Moments for Evaluating the Radar Cross Section of the Conducting and Resistive Surfaces

... several numerical approaches have been proposed [57, 58]. These numerical methods often use the basis functions and transform the integral equation to a linear system that can be solved by direct or ... See full document

36

Green Function Approach to the Calculation of the Local Density of States in the Graphitic Nanocone

Green Function Approach to the Calculation of the Local Density of States in the Graphitic Nanocone

... The numerical solution of the LDoS found in the last section is distorted by the uncertainties coming from the systematical errors of the used method of performing the ... See full document

6

Gelfand pairs and spherical functions

Gelfand pairs and spherical functions

... that many of the "special functions" introduced in Analysis since the eighteenth century are closely related to the theory of linear representations of Lie groups.. which "explains" many[r] ... See full document

10

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