Results 21 to 30 of about 204,086 (161)
Eigenvalues and eigenfunctions of the Laplacian via inverse iteration with shift [PDF]
, 2012 In this paper we present an iterative method, inspired by the inverse iteration with shift technique of finite linear algebra, designed to find the eigenvalues and eigenfunctions of the Laplacian with homogeneous Dirichlet boundary condition for ...
Biezuner, Rodney Josué +3 more
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Boundary Value Problems, 2018 In this paper, a numerical scheme based on the three-dimensional block-pulse functions is proposed to solve the three-dimensional fractional Poisson type equations with Neumann boundary conditions.
Jiaquan Xie +4 more
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, 2023 30 pages, 10 figures, 6 tables. arXiv admin note: text overlap with arXiv:2206.05171 by other authors [v2]: improved readability, small correction on bibliography ...
Bruno, Ludovico Bruni +2 more
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Analysis of the mean squared derivative cost function [PDF]
, 2017 In this paper, we investigate the mean squared derivative cost functions that arise in various applications such as in motor control, biometrics and optimal transport theory.
Duong, Manh Hong, Tran, Minh Hoang
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No-go theorems for photon state transformations in quantum linear optics
Results in Physics, 2023 We give a necessary condition for photon state transformations in linear optical setups preserving the total number of photons. From an analysis of the algebra describing the quantum evolution, we find a conserved quantity that appears in all allowed ...
Pablo V. Parellada +3 more
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Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms
, 2020 33 pages, 13 ...
Ma, Ping +4 more
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Dedalus: A flexible framework for numerical simulations with spectral methods
Physical Review Research, 2020 Numerical solutions of partial differential equations enable a broad range of scientific research. The Dedalus project is a flexible, open-source, parallelized computational framework for solving general partial differential equations using spectral ...
Keaton J. Burns +4 more
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Intelligent train operation based on deep learning from excellent driver manipulation patterns
IET Intelligent Transport Systems, 2022 In the application of deep learning to realize intelligent train operation, there are some problems, such as the single learning task. Especially when using the gradient descent approach to optimize the structure, weight and threshold of a deep network ...
Kai Xu +3 more
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Learning Impulsive Pinning Control of Complex Networks
Mathematics, 2021 In this paper, we present an impulsive pinning control algorithm for discrete-time complex networks with different node dynamics, using a linear algebra approach and a neural network as an identifier, to synthesize a learning control law.
Alma Y. Alanis +3 more
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Multi‐scale audio super resolution via deep pyramid wavelet convolutional neural network
Electronics Letters, 2021 In this letter, a pyramid wavelet convolutional neural network for audio super resolution is presented. Since the audio signal is non‐stationary, previous convolutional neural network based approaches may fail in capturing the details, these method ...
Binqiang Si, Dongqi Luo, Jihong Zhu
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