نتایج جستجو برای Collocation

تعداد نتایج: 3526  

2007
Mladen Rogina,

A diierential equation of the form Dp(x)Du(x) = f(x; u(x)) is solved by collocation, using a class of spline functions of order 3. A restriction of each spline function to any subinterval of the partition is piecewisely in the kernel of the operator DDp(x)D. A coeecient p(x) may be singular. An algorithm is described by means of which a B-spline basis could be eeciently constructed. Some numeri...

2011
J. Rashidinia, E. Babolian, Z. Mahmoodi,

The collocation methods based on cubic B-spline, are developed to approximate solution of the second and first kind Fredholm integral equations.First we collocate the solution by B-spline and the Newton-Cotes formula is used to approximate integral. Convergence analysis has been investigated and proved that the quadratur rule is fourth order convergent. The presented methods are tested to the p...

2016
Mohammad Ali Fariborzi Araghi, Amir Fallahzadeh,

In this paper, the inherited collocation method is introduced to solve the fuzzy differential equations. For this purpose, the so-called inherited LU factorization of matrices and inherited polynomials are used to decompose the extended crisp matrix obtained from the proposed method easily. The examples show the efficiency and importance of this method.

Journal: :Int. J. Hum.-Comput. Stud. 2013
Nick Bryan-Kinns,

In this paper we explore the use of shared representations to support creative activities, focussing on collaborative music making. We examine the effect that user interface features of shared representations have on mutual engagement and show that providing shared awareness mechanisms increases mutual engagement. In particular, we show through an empirical study of 78 participants that providi...

Journal: :IJCLCLP 2005
Wanyin Li, Qin Lu, Ruifeng Xu,

Collocation extraction systems based on pure statistical methods suffer from two major problems. The first problem is their relatively low precision and recall rates. The second problem is their difficulty in dealing with sparse collocations. In order to improve performance, both statistical and lexicographic approaches should be considered. This paper presents a new method to extract synonymou...

2006
Pavel Pecina, Pavel Schlesinger,

We introduce the possibility of combining lexical association measures and present empirical results of several methods employed in automatic collocation extraction. First, we present a comprehensive summary overview of association measures and their performance on manually annotated data evaluated by precision-recall graphs and mean average precision. Second, we describe several classification...

1993
Young S. Han, Young Kyoon Han, Key-Sun Choi,

This paper introduces an algorithm for automatically acquiring the conceptual structure of each word from corpus. The concept of a word is defined within the probabilistic framework. A variation of Belief Net named as Collocation Map is used to compute the probabilities. The Belief Net captures the conditional independences of words, which is obtained from the cooccurrence relations. The comput...

Journal: :Computers & Mathematics with Applications 2015
Carla Manni, Alessandro Reali, Hendrik Speleers,

We introduce isogeometric collocation methods based on generalized B-splines and we analyze their performance through numerical examples for univariate and multivariate scalarand vector-valued problems. In particular, advection–diffusion and linear elasticity model problems are addressed. The resultingmethod combines the favorable properties of isogeometric collocation and the geometrical and a...

2009
Joshua Adam Taylor,

The next-generation all-electric ship represents a class of design and control problems in which the system is too large to approach analytically, and even with many conventional computational techniques. Additionally, numerous environmental interactions and inaccurate system model information make uncertainty a necessary consideration. Characterizing systems under uncertainty is essentially a ...

1997
Andrei Mikheev,

Maximum entropy framework proved to be expressive and powerful for the statistical language modelling, but it suffers from the computational expensiveness of the model building. The iterative scaling algorithm that is used for the parameter estimation is computationally expensive while the feature selection process requires to estimate parameters of the model for many candidate features many ti...

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