Results 41 to 50 of about 24,909,697 (184)
Numerical simulation of fuzzy differential equations using general linear method and B-series
In this article, numerical simulation of fuzzy differential equations using general linear method is proposed. The significance of general linear method is derivation of algebraic order conditions of method using technique of rooted trees and B-series ...
Faranak Rabiei +3 more
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Stanford Linear Accelerator Center Annual Environmental Monitoring Report, January--December 1989
This progress report discusses environmental monitoring activities at the Stanford Linear Accelerator Center for 1989. Topics include climate, site geology, site water usage, land use, demography, unusual events or releases, radioactive and ...
Stanford Linear Accelerator Center
core +1 more source
General Runge–Kutta–Nyström Methods for Linear Inhomogeneous Second-Order Initial Value Problems
In this paper, general Runge–Kutta–Nyström (GRKN) methods are developed and analyzed, tailored for second-order initial value problems of the form y″=Ly′+My+g(t), where L,M∈Rn×n are constant matrices with n≥1. The construction of embedded pairs of orders
Nadiyah Hussain Alharthi +3 more
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(α)-Stable Multi-Derivative GLM
This paper considers multi-derivative general linear methods and thus presents some second and third derivative general linear methods of orders 5, 7 and 10 in its output methods for computing the solution of stiff initial value problems in ordinary ...
R. I. Okuonghae, M. N. O. Ikhile
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Parametric Statistics and the General Linear Model [PDF]
Too many students acquire statistical knowledge and techniques independent of each other. The purpose of this paper is to illustrate the many connections mathematically between parametric statistics and the General Linear Model.
John A Rochowicz Jr
core
The Generalized Linear Sampling Method for Limited Aperture Measurements [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Audibert, Lorenzo, Haddar, Houssem
openaire +3 more sources
Functional near-infrared spectroscopy (fNIRS) research articles show a large heterogeneity in the analysis approaches and pre-processing procedures. Additionally, there is often a lack of a complete description of the methods applied, necessary for study
Paola Pinti +5 more
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Classification of structural MRI images in Alzheimer's disease from the perspective of ill-posed problems. [PDF]
BACKGROUND:Machine learning neuroimaging researchers have often relied on regularization techniques when classifying MRI images. Although these were originally introduced to deal with "ill-posed" problems it is rare to find studies that evaluate the ill ...
Ramon Casanova +3 more
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This work is aimed to develop a parameterized time–frequency analysis method combined with vibration and acoustic measurements for gear fault diagnosis.
Dennis Hartono +2 more
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Numerical approximations of McKean anticipative backward stochastic differential equations arising in initial margin requirements* [PDF]
We introduce a new class of anticipative backward stochastic differential equations with a dependence of McKean type on the law of the solution, that we name MKABSDE.
Agarwal A. +5 more
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