Results 51 to 60 of about 44,503 (183)

Truncated decompositions and filtering methods with Reflective/Anti-Reflective boundary conditions: a comparison [PDF]

, 2007
The paper analyzes and compares some spectral filtering methods as truncated singular/eigen-value decompositions and Tikhonov/Re-blurring regularizations in the case of the recently proposed Reflective [M.K. Ng, R.H. Chan, and W.C. Tang, A fast algorithm
C. Tablino Possio, Cristina Tablino Possio, Quaderni Di Matematica, Segreteria Ada   +3 more
core  

Optimal map of the modular structure of complex networks

, 2010
Modular structure is pervasive in many complex networks of interactions observed in natural, social and technological sciences. Its study sheds light on the relation between the structure and function of complex systems.
A Arenas, Arenas A, Danon L, Dimitropoulos X, G Zamora-López, Golub G H, J Borge-Holthoefer, S Gómez, Zachary W W   +8 more
core   +1 more source

Enhancing artificial neural network learning efficiency through Singular value decomposition for solving partial differential equations

Results in Applied Mathematics
Partial differential equations (PDEs) hold significant potential for modelling natural phenomena. It is essential to look at a practical way to solve the PDEs.
Alfi Bella Kurniati, Maharani A. Bakar, Nur Fadhilah Ibrahim, Hanani Farhah Harun   +3 more
doaj   +1 more source

Regularization using truncated singular value decomposition for estimating the Fourier spectrum of a noised space distribution over an extended support

Computer Assisted Methods in Engineering and Science, 2017
This paper is devoted to a theoretical and numerical study of different ways of calculating the Fourier transform of a noisy signal where the boundary conditions at the lateral boundaries of the measurement interval are not precisely known. This happens
Waseem Al Hadad, Denis Maillet, Stéphane André, Benjamin Rémy   +3 more
doaj   +1 more source

An Improved Equivalent Dipole Moment Source Model Based on Regularization Optimization Method for Near Field-Far Field Conversion

IEEE Access, 2020
The radiation emission from high-speed digital circuit may result in radio-frequency interference (RFI) problems in modern electronic devices. In this paper, an improved equivalent dipole source based on a new transfer model and a new regularization ...
Wei Liu, Zhaowen Yan, Jianwei Wang, Zheng Min, Zhangqiang Ma   +4 more
doaj   +1 more source

A block Krylov subspace time-exact solution method for linear ODE systems [PDF]

, 2012
We propose a time-exact Krylov-subspace-based method for solving linear ODE (ordinary differential equation) systems of the form $y'=-Ay + g(t)$ and $y''=-Ay + g(t)$, where $y(t)$ is the unknown function. The method consists of two stages.
Botchev, M.A.
core   +2 more sources

Singular value decomposition in parametrised tests of post-Newtonian theory

, 2013
Various coefficients of the 3.5 post-Newtonian (PN) phasing formula of non-spinning compact binaries moving in circular orbits is fully characterized by the two component masses.
Archana Pai, Arun K G, Arun K G, Arun K G, Blanchet L, Cramer H, Jones D I, K G Arun, Rao C, Sathyaprakash B, Sathyaprakash B, Sathyaprakash B S, Will C M, Will C M   +13 more
core   +1 more source

Adaptive Higher-order Spectral Estimators

, 2017
Many applications involve estimation of a signal matrix from a noisy data matrix. In such cases, it has been observed that estimators that shrink or truncate the singular values of the data matrix perform well when the signal matrix has approximately low
Gerard, David, Hoff, Peter
core   +1 more source

Literature survey on low rank approximation of matrices

, 2016
Low rank approximation of matrices has been well studied in literature. Singular value decomposition, QR decomposition with column pivoting, rank revealing QR factorization (RRQR), Interpolative decomposition etc are classical deterministic algorithms ...
Kumar, N. Kishore, Shneider, Jan
core   +1 more source

Tensor-Based K-Nearest Neighbors Approach for Enhanced Neutron–Gamma Discrimination [PDF]

E3S Web of Conferences
Neutron detection is essential in nuclear safety, medical diagnostics, and high-energy physics. However, reliably discriminating neutrons from gamma rays remains a major challenge in mixed radiation fields.
Ahnouz Imane, Arahmane Hanan, Sebihi Rajaa   +2 more
doaj   +1 more source