Results 11 to 20 of about 36,338,648 (351)
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 +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 +2 more
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Variational Inference: A Review for Statisticians [PDF]
arXiv.org, 2016 One of the core problems of modern statistics is to approximate difficult-to-compute probability densities. This problem is especially important in Bayesian statistics, which frames all inference about unknown quantities as a calculation involving the ...
D. Blei, A. Kucukelbir, Jon D. McAuliffe
semanticscholar +1 more source
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 +4 more
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, 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
Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets [PDF]
Nature, 2017 Quantum computers can be used to address electronic-structure problems and problems in materials science and condensed matter physics that can be formulated as interacting fermionic problems, problems which stretch the limits of existing high-performance
A. Kandala +6 more
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Variational benchmarks for quantum many-body problems [PDF]
Science, 2023 The continued development of computational approaches to many-body ground-state problems in physics and chemistry calls for a consistent way to assess its overall progress.
Dian Wu +32 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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Variational Methods for Nonsmooth Mechanics [PDF]
, 2003 In this thesis we investigate nonsmooth classical and continuum mechanics and its discretizations by means of variational numerical and geometric methods.
Fetecau, Razvan Constantin
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