Results 1 to 10 of about 52,593 (299)

Network element methods for linear elasticity

Comptes Rendus. Mécanique, 2023
We explain how to derive a network element for the linear elasticity problem. After presenting sufficient conditions on the network for the validity of a discrete Korn inequality, we also propose several variations of the presented method and in ...
Coatléven, Julien
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On three-step iterative schemes associated with general quasi-variational inclusions

Alexandria Engineering Journal, 2022
In this paper, we investigate new classes of general quasi-variational inclusions. In this regard, we prove that general quasi-variational inclusions and fixed point problems are equivalent.
Muhammad Aslam Noor, Khalida Inayat Noor, Savin Treanţă, Kamsing Nonlaopon   +3 more
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Variational Methods in Optical Quantum Machine Learning

IEEE Access, 2023
The computing world is rapidly evolving and advancing, with new ground-breaking technologies emerging. Quantum Computing and Quantum Machine Learning have opened up new possibilities, providing unprecedented computational power and problem-solving ...
Marco Simonetti, Damiano Perri, Osvaldo Gervasi   +2 more
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Variational Estimation Methods for Sturm–Liouville Problems

Mathematics, 2022
In this paper, we are concerned with approach solutions for Sturm–Liouville problems (SLP) using variational problem (VP) formulation of regular SLP.
Elena Corina Cipu, Cosmin Dănuţ Barbu
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Improved variational methods in statistical data assimilation [PDF]

Nonlinear Processes in Geophysics, 2015
Data assimilation transfers information from an observed system to a physically based model system with state variables x(t). The observations are typically noisy, the model has errors, and the initial state x(t0) is uncertain: the data assimilation ...
J. Ye, N. Kadakia, P. J. Rozdeba, H. D. I. Abarbanel, J. C. Quinn   +4 more
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Variational Methods [PDF]

, 2015
This contribution presents derivative-based methods for local sensitivity analysis, called Variational Sensitivity Analysis (VSA). If one defines an output called the response function, its sensitivity to inputs variations around a nominal value can be studied using derivative (gradient) information.
Nodet, Maelle, Vidard, Arthur
openaire   +3 more sources

Existence of solutions for a perturbed problem with logarithmic potential in $\mathbb{R}^2$

Mathematics in Engineering, 2020
We study a perturbed Schrödinger equation in the plane arising from the coupling of quantum physics with Newtonian gravitation. We obtain some existence results by means of a perturbation technique in Critical Point Theory.
Federico Bernini, Simone Secchi
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Inertial projection methods for solving general quasi-variational inequalities

AIMS Mathematics, 2021
In this paper, we consider a new class of quasi-variational inequalities, which is called the general quasi-variational inequality. Using the projection operator technique, we establish the equivalence between the general quasi-variational inequalities ...
Saudia Jabeen, Bandar Bin-Mohsin, Muhammad Aslam Noor, Khalida Inayat Noor   +3 more
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VARIATIONAL METHODS IN IMAGE RECOVERY

Pesquimat, 2014
We study the semicuadratic minimization problem of the formthis functional arises in image recovery problems, when aimage that describe a real scene, consider like a function f: ΩR2 → R, is observed and reproduced like a function p: Ω R2 → R.
Víctor Osorio Vidal
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Combined effects for a class of fractional variational inequalities [PDF]

Opuscula Mathematica
In this paper, we study the existence of a nonnegative weak solution to the following nonlocal variational inequality: \[\int_{\mathbb{R}^N}(-\Delta)^{\frac{s}{2}} u (-\Delta)^{{\frac{s}{2}}}(v-u)dx+\int_{\mathbb{R}^N}(1+\lambda M(x))u(v-u)dx \geq \int_{\
Shengbing Deng, Wenshan Luo, César E. Torres Ledesma   +2 more
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