Results 21 to 30 of about 4,695 (250)

Discrete Mechanical Interpolation of Keyframes [PDF]

open access: yes, 2008
Advances in computer hardware and software have made it possible to use physical simulation methods to add unprecedented degrees of realism to computer animations.
Yang, Weiwei
core   +1 more source

A second order convergent trial method for a free boundary problem in three dimensions [PDF]

open access: yes, 2015
The present article is concerned with the solution of a generalized Bernoulli free boundary problem in three spatial dimensions. We parametrize the free boundary under consideration over the sphere and apply a trial method which updates the free boundary
Harbrecht, Helmut, Bugeanu, Monica
core   +1 more source

Exploiting the Clustered Sparsity for Channel Estimation in Hybrid Analog-Digital Massive MIMO Systems

open access: yesIEEE Access, 2019
Although the hybrid analog–digital processing reduces the hardware complexity to realize massive multiple-input multiple-output system, it increases the difficulty of channel estimation significantly since the base station cannot obtain enough ...
Yurong Wang   +3 more
doaj   +1 more source

Single-step deep reinforcement learning for two- and three-dimensional optimal shape design

open access: yesAIP Advances, 2022
This research gauges the capabilities of deep reinforcement learning (DRL) techniques for direct optimal shape design in computational fluid dynamics (CFD) systems.
H. Ghraieb   +4 more
doaj   +1 more source

Fast interior point solution of quadratic programming problems arising from PDE-constrained optimization [PDF]

open access: yes, 2017
Interior point methods provide an attractive class of approaches for solving linear, quadratic and nonlinear programming problems, due to their excellent efficiency and wide applicability.
Gondzio, Jacek   +4 more
core   +1 more source

Differentiable Programming Tensor Networks

open access: yesPhysical Review X, 2019
Differentiable programming is a fresh programming paradigm which composes parameterized algorithmic components and optimizes them using gradient search. The concept emerges from deep learning but is not limited to training neural networks. We present the
Hai-Jun Liao   +3 more
doaj   +1 more source

Stabilization of the trial method for the Bernoulli problem in case of prescribed Dirichlet data [PDF]

open access: yes, 2013
We apply the trial method for the solution of Bernoulli’s free boundary problem when the Dirichlet boundary condition is imposed for the solution of the underlying Laplace equation and the free boundary is updated according to the Neumann boundary ...
Giannoula Mitrou   +3 more
core   +1 more source

Optics Temperature-Dependent Nonuniformity Correction Via $\ell _{0}$-Regularized Prior for Airborne Infrared Imaging Systems

open access: yesIEEE Photonics Journal, 2016
In this paper, we propose a new $\ell _{0}$ -regularized approach to remove the temperature-dependent nonuniformity effects induced by the infrared (IR) imaging optics in an aerothermal environment.
Li Liu, Tianxu Zhang
doaj   +1 more source

Distributionally Robust Variational Quantum Algorithms With Shifted Noise

open access: yesIEEE Transactions on Quantum Engineering
Given their potential to demonstrate near-term quantum advantage, variational quantum algorithms (VQAs) have been extensively studied. Although numerous techniques have been developed for VQA parameter optimization, it remains a significant challenge.
Zichang He   +3 more
doaj   +1 more source

Epigenetic blind spots – the role of DNA methylation dynamics in stem cell‐based models of embryogenesis

open access: yesFEBS Letters, EarlyView.
Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil   +4 more
wiley   +1 more source

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