Results 51 to 60 of about 31,536,622 (369)

‎Exact analytical solution of tempered fractional heat-like (diffusion) equations by the modified variational iteration method [PDF]

open access: yesJournal of Mahani Mathematical Research
‎    This paper introduces a modified version of the Variational Iteration Method, incorporating $\mathbb{P}$-transformation. We propose a novel semi-analytical technique named the modified variational iteration method   for addressing fractional ...
Mohammad Hossein Akrami   +2 more
doaj   +1 more source

Variational Information Distillation for Knowledge Transfer [PDF]

open access: yesComputer Vision and Pattern Recognition, 2019
Transferring knowledge from a teacher neural network pretrained on the same or a similar task to a student neural network can significantly improve the performance of the student neural network.
Sungsoo Ahn   +4 more
semanticscholar   +1 more source

A field theoretic approach to master equations and a variational method beyond the Poisson ansatz

open access: yes, 2007
We develop a variational scheme in a field theoretic approach to a stochastic process. While various stochastic processes can be expressed using master equations, in general it is difficult to solve the master equations exactly, and it is also hard to ...
Dickman R   +10 more
core   +1 more source

Variational Homotopy Perturbation Method for Solving Fractional Initial Boundary Value Problems

open access: yesAbstract and Applied Analysis, 2012
A variational homotopy perturbation method (VHPM) which is based on variational iteration method and homotopy perturbation method is applied to solve the approximate solution of the fractional initial boundary value problems.
Yanqin Liu
doaj   +1 more source

Long-Run Accuracy of Variational Integrators in the Stochastic Context [PDF]

open access: yes, 2010
This paper presents a Lie-Trotter splitting for inertial Langevin equations (Geometric Langevin Algorithm) and analyzes its long-time statistical properties. The splitting is defined as a composition of a variational integrator with an Ornstein-Uhlenbeck
Bou-Rabee N.   +3 more
core   +3 more sources

Multivariate Variational Mode Decomposition [PDF]

open access: yesIEEE Transactions on Signal Processing, 2019
We present a generic extension of variational mode decomposition (VMD) algorithm to multivariate or multichannel data. The proposed method utilizes a model for multivariate modulated oscillations that is based on the presence of a joint or common ...
N. Rehman, Hania Aftab
semanticscholar   +1 more source

Size-consistent variational approaches to non-local pseudopotentials: standard and lattice regularized diffusion Monte Carlo methods revisited [PDF]

open access: yes, 2010
We propose improved versions of the standard diffusion Monte Carlo (DMC) and the lattice regularized diffusion Monte Carlo (LRDMC) algorithms. For the DMC method, we refine a scheme recently devised to treat non-local pseudopotential in a variational way.
Casula, Michele   +3 more
core   +5 more sources

Moving in the Dark: Enlightening the Spatial Population Ecology of European Cave Salamanders

open access: yesPopulation Ecology, EarlyView.
We assessed individual interactions, movement ecology and activity patterns of a subterranean population of Speleomantes strinatii, applying spatial capture–recapture modeling to a photographic dataset of 104 individuals. ABSTRACT Space use and movement are fundamental aspects of organisms' ecology, mirroring individual fitness, behavior, and life ...
Giacomo Rosa   +2 more
wiley   +1 more source

A variation equation for the wave forcing of floating thin plates [PDF]

open access: yes, 2000
A variational equation is derived for a floating thin plate subject to wave forcing. This variational equation is derived from the thin plate equations of motion by including the forcing due to the wave through the integral equation derived using the ...
Meylan, Michael H.
core  

Necessary conditions for variational regularization schemes

open access: yes, 2013
We study variational regularization methods in a general framework, more precisely those methods that use a discrepancy and a regularization functional.
Bakushinskii˘ A B   +25 more
core   +1 more source

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