Results 21 to 30 of about 563,519 (262)
Simple Statically Indeterminate Truss (Linear, Nonlinear and Stochastic Approach) [PDF]
Transactions of the VŠB-Technical University of Ostrava, Mechanical Series, 2016 This contribution deals with simple planar and statically indeterminate pin-connected truss. This truss contains 3 members. The ways and methods of derivations and solutions according to theories of 1st and 2nd order are shown.
Karel FRYDRÝŠEK
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The estimation of truncation error by τ-estimation revisited [PDF]
Journal of Computational Physics, 2012 The aim of this paper was to accurately estimate the local truncation error of partial differential equations, that are numerically solved using a finite difference or finite volume approach on structured and unstructured meshes. In this work, we approximated the local truncation error using the @t-estimation procedure, which aims to compare the ...
Fraysse, François +2 more
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Remote Sensing, 2022 The emergence of a photogrammetry-based 3D reconstruction technique enables rapid 3D modeling at a low cost and uncovers many applications in documenting the geometric dimensions of the environment.
Hong Huang +5 more
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Lower bounds for the low-rank matrix approximation
Journal of Inequalities and Applications, 2017 Low-rank matrix recovery is an active topic drawing the attention of many researchers. It addresses the problem of approximating the observed data matrix by an unknown low-rank matrix. Suppose that A is a low-rank matrix approximation of D, where D and A
Jicheng Li, Zisheng Liu, Guo Li
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Accurate error estimation in CG [PDF]
Numerical Algorithms, 2021 In practical computations, the (preconditioned) conjugate gradient (P)CG method is the iterative method of choice for solving systems of linear algebraic equations $Ax=b$ with a real symmetric positive definite matrix $A$. During the iterations it is important to monitor the quality of the approximate solution $x_k$ so that the process could be stopped
Gérard Meurant, Jan Papez, Petr Tichý
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Energies, 2023 This study aims to focus on using the Volterra series and machine learning for forecasting random and chaotic wind speed regimes, since calm weather is mostly noticed at the local site, making dataset selection difficult.
Amir Abdul Majid
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Interpolation of the Function of Two Variables with Large Gradients in the Boundary Layers [PDF]
Учёные записки Казанского университета: Серия Физико-математические науки, 2015 The problem of interpolation for the function of two variables with large gradients in the boundary layers is investigated. It is suggested that the function can be represented as a sum of a regular component with bounded derivatives up to some order and
A.I. Zadorin
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Applied Mathematics in Science and EngineeringDissipative and constrained dynamical systems model various physical phenomena comprising damping and constraining forces. These forces give rise to specific geometric properties of the dynamical system's governing equations. In this paper, we reduce and
Vidushi Sachan, Ashish Bhatt
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Mathematical and Computational Applications, 2021 This paper deals with a non-standard implicit finite difference scheme that is defined on a quasi-uniform mesh for approximate solutions of the Magneto-Hydro Dynamics (MHD) boundary layer flow of an incompressible fluid past a flat plate for a wide range
Riccardo Fazio, Alessandra Jannelli
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AxiomsIn Chuanming Zong’s program to attack Hadwiger’s covering conjecture, which is a longstanding open problem from Convex and Discrete Geometry, it is essential to estimate covering functionals of convex bodies effectively. Recently, He et al. and Yu et al.
Xiangyang Han, Senlin Wu, Longzhen Zhang
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