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collocation technique

Structural and statistical properties of the collocation technique for error characterization

Structural and statistical properties of the collocation technique for error characterization

... The collocation technique has become a widely applied tool for analyzing the error structure of different data sources. Previous studies have mostly concentrated on the comparison of three data sets as this ...

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An effective collocation technique to solve the singular Fredholm integral equations with Cauchy kernel

An effective collocation technique to solve the singular Fredholm integral equations with Cauchy kernel

... In this paper, an effective numerical method to solve the Cauchy type singular Fredholm integral equations (CSFIEs) of the first kind is proposed. The collocation technique based on Bernstein polynomials is ...

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A cartesian-grid collocation technique with integrated radial basis functions for mixed boundary value problems

A cartesian-grid collocation technique with integrated radial basis functions for mixed boundary value problems

... direct collocation, fictitious points, regular grids, and dense nodes in the derivative boundaries [10]; Hermite-type collocation [11, ...Least-squares collocation meshless method which can improve ...

33

A fourth order non polynomial quintic spline collocation technique for solving time fractional superdiffusion equations

A fourth order non polynomial quintic spline collocation technique for solving time fractional superdiffusion equations

... Fourth order time fractional partial differential equations (PDEs) arise in mathemati- cal modeling of several plate-like objects [2]. Most of the analytical techniques for solv- ing fractional order PDEs are based on ...

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Numerical Solution of Volterra-Fredholm Integral
 Equations with The Help of Inverse and Direct
 Discrete Fuzzy Transforms and Collocation
 Technique

Numerical Solution of Volterra-Fredholm Integral Equations with The Help of Inverse and Direct Discrete Fuzzy Transforms and Collocation Technique

... In this paper, a new approach to the numerical solution of Volterra- Fredholm integral equations by using expansion method based on the composition of the inverse and direct discrete fuzzy transforms (shortly ...

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SOME GENERALIZED TWO-STEP BLOCK HYBRID NUMEROV METHOD FOR SOLVING GENERAL SECOND ORDER ORDINARY DIFFERENTIAL EQUATIONS WITHOUT PREDICTORS

SOME GENERALIZED TWO-STEP BLOCK HYBRID NUMEROV METHOD FOR SOLVING GENERAL SECOND ORDER ORDINARY DIFFERENTIAL EQUATIONS WITHOUT PREDICTORS

... In this paper, a direct numerical solution to the general second order ODE’s of the form (1.1) is proposed without recourse to the conventional way of reducing it to a system of first order ODE (Chan et al., 2004). We ...

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Numerical solution of Troesch's problem using Christov rational functions

Numerical solution of Troesch's problem using Christov rational functions

... In the current investigation, we construct the solution of Troesch’s problem using a different approach. This approach is based on the collocation technique. Our method consists of reducing the problem to ...

11

Numerical solution of the forced Duffing equations‎ ‎ using Legendre multiwavelets

Numerical solution of the forced Duffing equations‎ ‎ using Legendre multiwavelets

... Abstract A numerical technique based on the collocation method using Legendre multiwavelets are presented for the solution of forced Duffing equation. The operational matrix of integration for Legendre ...

13

A new family of high-order difference schemes for the solution of second order boundary value problems

A new family of high-order difference schemes for the solution of second order boundary value problems

... sinc collocation method [4, 5], compact finite difference method [6], non-standard finite difference method [7, 8] and rational finite difference method [9, ...

13

Pseudo Spectral Method for Space Fractional Diffusion Equation

Pseudo Spectral Method for Space Fractional Diffusion Equation

... In this section, we consider the space fractional diffusion equations for different source terms and the values of  utilizing the collocation method. Here, the fourth order Runge-Kutta method is used for all the ...

8

[13] . In the present paper, the collocation based

[13] . In the present paper, the collocation based

... the collocation method based improved moving least squares scheme consumed less time at the same number of collocation points compared with collocation based moving least squares, this is because, ...

6

Second Kind Shifted Chebyshev Polynomials for Solving the Model Nonlinear ODEs

Second Kind Shifted Chebyshev Polynomials for Solving the Model Nonlinear ODEs

... In this paper, the Chebyshev polynomials of the second kind has been successfully applied to study the model nonlinear ODEs. The results show that Chebyshev polynomials of the second kind is an efficient and easy-to-use ...

11

An approach based on statistical spline model for Volterra-Fredholm integral equations

An approach based on statistical spline model for Volterra-Fredholm integral equations

... In this section, we consider three examples as given in [10] to present the priority and efficiency of SSM with respect to Lagrange collocation method (LCM) and Taylor collocation method (TCM). 3-criterion ...

13

Sentence Analysis and Collocation Identification

Sentence Analysis and Collocation Identification

... The lexicon of the parser was kept constant, which is to say that both versions used the same lexicon (which contains slightly more than 7500 English collocation entries), only the parsing mo- dule handling ...

9

COLLOCATION OF RASA DRAVYAS – AN EXPLORATION .......

COLLOCATION OF RASA DRAVYAS – AN EXPLORATION .......

... Vagbhatacharya, Rasaratnasamuchaya, edited by Siddhi Nandan Mishra with Siddhiprada commen- tary. Vagbhatacharya, Rasaratnasamuchaya, edited by[r] ...

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Block preconditioners for linear systems arising from multiscale collocation with compactly supported RBFs

Block preconditioners for linear systems arising from multiscale collocation with compactly supported RBFs

... multiscale collocation methods with radial basis functions allow approximation of the solution of a partial differential equation, even if the right-hand side is only known at scattered data points, without ...

19

Learning Probabilistic Subcategorization Preference by Identifying Case Dependencies and Optimal Noun Class Generalization Level

Learning Probabilistic Subcategorization Preference by Identifying Case Dependencies and Optimal Noun Class Generalization Level

... A Model of Generating Verb-Noun Collocation When observing each verb-noun collocation e, as we described in the previous two sections, the ambiguities of case dependencies and noun class[r] ...

8

Synonymous Collocation Extraction Using Translation Information

Synonymous Collocation Extraction Using Translation Information

... The synonymous candidates of a collocation are obtained by expanding a collocation <Head, Rela- tion Type, Modifier> using the synonyms of Head and Modifier. The synonyms of a word are obtained from ...

8

The Impact of Corpus Based Collocation Instruction on Iranian EFL Learners' Collocation Learning

The Impact of Corpus Based Collocation Instruction on Iranian EFL Learners' Collocation Learning

... corpus-based collocation instruction on Iranian EFL learners’ knowledge of collocation to prove that teaching corpus-based collocation can assist learners in learning and using collocations better in ...

10

Large Scale Collocation Data and Their Application to Japanese Word Processor Technology

Large Scale Collocation Data and Their Application to Japanese Word Processor Technology

... Large Scale Collocation Data and Their Application to Japanese Word Processor Technology Large Scale Collocation Data and Their Application to Japanese Word Processor Technology Yasuo Koyama, Masako Y[.] ...

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