Lu Decomposition and Toeplitz Decomposition of a Neural Network
نویسندگان
چکیده
منابع مشابه
Parallel LU Decomposition on a Transputer Network
A parallel algorithm is derived for LU decomposition with partial pivoting on a local-memory multiprocessor. A general Cartesian data distribution scheme is presented which contains many of the existing distribution schemes as special cases. This scheme is used to prove optimality of toad balance for the grid distribution. Experimental results of an implementation of the algorithm in occam-2 on...
متن کاملtoeplitz graph decomposition
let $n,t_1,...,t_k$ be distinct positive integers. a toeplitz graph $g=(v, e)$ denoted by $t_n$ is a graph, where $v ={1,...,n}$ and $e= {(i,j) : |i-j| in {t_1,...,t_k}}$.in this paper, we present some results on decomposition of toeplitz graphs.
متن کاملRandomized LU Decomposition
Article history: Received 20 February 2015 Received in revised form 17 April 2016 Accepted 29 April 2016 Available online 5 May 2016 Communicated by Thomas Strohmer
متن کاملGaussian Elimination and LU-Decomposition
Solving a set of linear equations arises in many contexts in applied mathematics. At least until recently, a claim could be made that solving sets of linear equations (generally as a component of dealing with larger problems like partial-differential-equation solving, or optimization, consumes more computer time than any other computational procedure. (Distant competitors would be the Gram-Schm...
متن کاملRecursive Version of LU Decomposition
The effective use of the cache memories of the processors is a key component of obtaining high performance algorithms and codes, including here algorithms and codes for parallel computers with shared and distributed memories. The recursive algorithms seem to be a tool for such an action. Unfortunately, worldwide used programming language FORTRAN 77 does not allow explicit recursion. The paper p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Social Science Research Network
سال: 2022
ISSN: ['1556-5068']
DOI: https://doi.org/10.2139/ssrn.4309585