Results 251 to 260 of about 2,215,169 (319)
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Applied Mathematics and Computation, 2020
The authors propose a numerical iterative algorithm based on a combination of the successive approximations method and the bilinear spline interpolation.
S. Alipour, Farshid Mirzaee
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The authors propose a numerical iterative algorithm based on a combination of the successive approximations method and the bilinear spline interpolation.
S. Alipour, Farshid Mirzaee
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A wavelet-based computational method for solving stochastic Itô-Volterra integral equations
Journal of Computational Physics, 2015F. Mohammadi
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Numerical solution of stochastic integral equations by using Bernoulli operational matrix
Mathematics and Computers in Simulation, 2019In this paper, a new computational method based on stochastic operational matrix for integration of Bernoulli polynomials is proposed for solving nonlinear Volterra–Fredholm–Hammerstein stochastic integral equations.
Rebiha Zeghdane
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Engineering analysis with boundary elements, 2019
In this paper, a meshfree method based on radial basis functions (RBFs) is applied to solve two-dimensional weakly singular stochastic integral equations on non-rectangular domains.
Nasrin Samadyar, Farshid Mirzaee
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In this paper, a meshfree method based on radial basis functions (RBFs) is applied to solve two-dimensional weakly singular stochastic integral equations on non-rectangular domains.
Nasrin Samadyar, Farshid Mirzaee
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International journal of numerical modelling, 2019
In this paper, orthonormal Bernoulli collocation method has been developed to obtain the approximate solution of linear singular stochastic Itô‐Volterra integral equations.
Nasrin Samadyar, Farshid Mirzaee
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In this paper, orthonormal Bernoulli collocation method has been developed to obtain the approximate solution of linear singular stochastic Itô‐Volterra integral equations.
Nasrin Samadyar, Farshid Mirzaee
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International Conference on Learning Representations
Discrete diffusion models have gained increasing attention for their ability to model complex distributions with tractable sampling and inference. However, the error analysis for discrete diffusion models remains less well-understood.
Yinuo Ren +3 more
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Discrete diffusion models have gained increasing attention for their ability to model complex distributions with tractable sampling and inference. However, the error analysis for discrete diffusion models remains less well-understood.
Yinuo Ren +3 more
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Systems & control letters (Print), 2019
This paper introduces stability conditions in the form of linear matrix inequalities (LMIs) for general linear retarded systems with a delay term described by Stieltjes integral.
E. Fridman, L. Shaikhet
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This paper introduces stability conditions in the form of linear matrix inequalities (LMIs) for general linear retarded systems with a delay term described by Stieltjes integral.
E. Fridman, L. Shaikhet
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Inversions of Infinitely Divisible Distributions and Conjugates of Stochastic Integral Mappings
, 2012The dual of an infinitely divisible distribution on ℝd without Gaussian part defined in Sato (ALEA Lat. Am. J. Probab. Math. Statist. 3:67–110, 2007) is renamed to the inversion. Properties and characterization of the inversion are given.
Ken-iti Sato
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