Results on the convergence and the acceleration of convergence are given. Moreover, the approximation of the roots of a polynomial equation is studied.doi:10.1080/09720502.2005.10700390Taher, R. BenIraoui, W.Rachidi, M.Taylor & Francis GroupJournal of Interdisciplinary Mathematics...
linear algebra and its applications:线性代数及其应用_推荐.pdf,Linear Algebra and its Applications 466 (2015) 21–26 Contents lists available at ScienceDirect Linear Algebra and its Applications /locate/laa Note on best possible bounds for determinants o
必应词典为您提供Linear-approximation的释义,un. 线性近似;线性接近; 网络释义: 线性逼近;线性估算;线性近似法;
Whole-brain models have proven to be useful to understand the emergence of collective activity among neural populations or brain regions. These models combine connectivity matrices, or connectomes, with local node dynamics, noise, and, eventually, transm
The Hopf whole-brain model and its linear approximation Article Open access 31 January 2024 Main Throughout the recent history of neuroscience, computational models have been developed and used ubiquitously to decompose the complex neural mechanisms underlying cognition and behaviour1,2,3,4,5. A di...
and sparse approximation. The basic mathematical problem consists in solving an underdetermined linear system, i.e., y = Ax, A being an m ×n matrix with m n, under certain a priori assumptions on the vector x. Within this theory the assumed prior information is that the vector x is app...
In the second model any processor can update the global approximation which resides in the central processor at any time. This model is a generalization of a sequential iterative scheme due to Ostrowski called the free steering group Jacobi iterative scheme and a chaotic relaxation point iterative ...
In many practical applications, such large sets of solutions express equally relevant alternatives which need to be identified as completely as possible. The goal of this paper is to show that by using appropriate approximation techniques, explicit representations of the solution sets, preserving both ...
We introduce a new methodology to construct a Gaussian mixture approximation to the true filter density in hybrid Markovian switching systems. We relax the assumption that the mode transition process is a Markov chain and allow it to depend on the actual and unobservable state of the system. The...
Therefore, a computational implementation will require approximation and/or simplification. Two approaches to deriving a finite set of LMIs are (1) discretizing the parameter dependence and (2) imposing fixed structures on the search variables. 5.3.1 Parameter discretization By forming a grid of ...