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Discretisation Of Sparse Linear Systems: An Optimisation Approach
(ELSEVIER SCIENCE BVAMSTERDAM, 2015)
Comparing non-stationary and irregularly spaced time series
(ELSEVIER SCIENCE BVAMSTERDAM, 2012)
In this paper, we present approximate distributions for the ratio of the cumulative wavelet periodograms considering stationary and non-stationary time series generated from independent Gaussian processes. We also adapt ...
Suitable approximations for the self-accelerating parameters in iterative methods with memory
Solving the nonlinear equation f(x)=0 is a common problem in several areas of Science and Engineering. Since exact solutions of the nonlinear equation are hardly available, scientists best rely on numerical solutions, such ...
APPROXIMATE CALCULATION OF SUMS II: GAUSSIAN TYPE QUADRATURE
(Siam Publications, 2016-01-01)
The present paper is a continuation of a recent article [SIAM T. Numer. Anal., 52 (2014), pp. 1867-1886], where we proposed an algorithmic approach for approximate calculation of sums of the form Sigma(N)(j=1) f (j). The ...
Slowly rotating curzon-chazy metricMétrica de curzon-chazy con rotación lenta
(Universidad de Costa Rica, Centro de Investigación en Matemática Pura y Aplicada (CIMPA), 2015)
A posteriori error estimates for non-conforming approximation of eigenvalue problems
(Elsevier Science, 2012-05)
We consider the approximation of eigenvalue problem for the Laplacian by the Crouzeix– Raviart non-conforming finite elements in two and three dimensions. Extending known techniques for source problems, we introduce a ...
Scattering of intersecting spherical particles in the Rayleigh-Gans approximation
(Elsevier, 2011-02-01)
In this work a novel semianalytical procedure to calculate the exact scattering behavior of complex particles made of intersecting spheres in the Rayleigh-Gans approximation is presented. Pickering emulsions, Janus ...
Bayesian approximations in randomized response model
(Elsevier B.V., 1997-06-05)
Practical Bayesian inference depends upon detailed examination of posterior distribution. When the prior and likelihood are conjugate, this is easily carried out; however, in general, one must resort to numerical approximation. ...
Bayesian approximations in randomized response model
(Elsevier B.V., 1997-06-05)
Practical Bayesian inference depends upon detailed examination of posterior distribution. When the prior and likelihood are conjugate, this is easily carried out; however, in general, one must resort to numerical approximation. ...