Results 31 to 40 of about 655,974 (311)

Validation of Earth Observation Time-Series: A Review for Large-Area and Temporally Dense Land Surface Products

open access: yesRemote Sensing, 2019
Large-area remote sensing time-series offer unique features for the extensive investigation of our environment. Since various error sources in the acquisition chain of datasets exist, only properly validated results can be of value for research and ...
Stefan Mayr   +4 more
doaj   +1 more source

Application of Regularized Meshless Method with Error Estimation Technique for Water–Wave Scattering by Multiple Cylinders

open access: yesJournal of Marine Science and Engineering
In this manuscript, we will apply the regularized meshless method, coupled with an error estimation technique, to tackle the challenge of modeling oblique incident waves interacting with multiple cylinders.
Kue-Hong Chen, Jeng-Hong Kao, Yi-Hui Hsu
doaj   +1 more source

A Perturbed Milne’s Quadrature Rule for n-Times Differentiable Functions with Lp-Error Estimates

open access: yesAxioms, 2023
In this work, a perturbed Milne’s quadrature rule for n-times differentiable functions with Lp-error estimates is derived. One of the most important advantages of our result is that it is verified for p-variation and Lipschitz functions.
Ayman Hazaymeh   +4 more
doaj   +1 more source

Fast rates for estimation error and oracle inequalities for model section [PDF]

open access: yes, 2008
We consider complexity penalization methods for model selection. These methods aim to choose a model to optimally trade off estimation and approximation errors by minimizing the sum of an empirical risk term and a complexity penalty.
Bartlett, Peter L.
core   +1 more source

Model Reduction of Parametric Differential-Algebraic Systems by Balanced Truncation

open access: yesMathematical and Computer Modelling of Dynamical Systems
We deduce a procedure to apply balanced truncation to parameter-dependent differential-algebraic systems. For that we solve multiple projected Lyapunov equations for different parameter values to compute the Gramians that are required for the truncation ...
Jennifer Przybilla, Matthias Voigt
doaj   +1 more source

A Computational Technique for Solving Three-Dimensional Mixed Volterra–Fredholm Integral Equations

open access: yesFractal and Fractional, 2023
In this article, a novel and efficient approach based on Lucas polynomials is introduced for solving three-dimensional mixed Volterra–Fredholm integral equations for the two types (3D-MVFIEK2).
Amr M. S. Mahdy   +3 more
doaj   +1 more source

Reliable Eigenspace Error Estimation Using Source Error Estimators

open access: yesComputational Methods in Applied Mathematics
Abstract We introduce a framework for repurposing error estimators for source problems to compute an estimator for the gap between eigenspaces and their discretizations. Of interest are eigenspaces of finite clusters of eigenvalues of unbounded nonselfadjoint linear operators with compact resolvent.
Jay Gopalakrishnan   +1 more
openaire   +2 more sources

Mesh-Free MLS-Based Error-Recovery Technique for Finite Element Incompressible Elastic Computations

open access: yesApplied Sciences, 2023
The finite element error and adaptive analysis are implemented in finite element procedures to increase the reliability of numerical analyses. In this paper, the mesh-free error-recovery technique based on moving least squares (MLS) interpolation is ...
Nabil Ben Kahla   +2 more
doaj   +1 more source

Error Propagation in Monocular Navigation for Zinf Compared to Eightpoint Algorithm [PDF]

open access: yes, 2013
Efficient visual pose estimation plays an important role for a variety of applications. To improve the quality, the measurements from different sensors can be fused.
Elmar Mair   +5 more
core   +1 more source

Global error estimation of linear multistep methods through the Runge-Kutta methods [PDF]

open access: yesIranian Journal of Numerical Analysis and Optimization, 2016
In this paper, we study the global truncation error of the linear multistep methods (LMM) in terms of local truncation error of the corresponding Runge-Kutta schemes. The key idea is the representation of LMM with a corresponding Runge-Kutta method.
Javad Farzi
doaj   +1 more source

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