<--- Back to Details
First PageDocument Content
Matrix theory / Functional analysis / Linear algebra / Singular value decomposition / Matrix decomposition / Matrix / Algorithm / Latent semantic analysis / Algebra / Mathematics / Numerical linear algebra
Date: 2010-11-04 03:22:53
Matrix theory
Functional analysis
Linear algebra
Singular value decomposition
Matrix decomposition
Matrix
Algorithm
Latent semantic analysis
Algebra
Mathematics
Numerical linear algebra

Fast and Faster: A Comparison of Two Streamed Matrix Decomposition Algorithms ˇ uˇ Radim Reh ˚ rek

Add to Reading List

Source URL: nlp.fi.muni.cz

Download Document from Source Website

File Size: 182,30 KB

Share Document on Facebook

Similar Documents

Week 6 (due May 14) Reading: Srednicky, sectionIn this exercise you will apply the Faddeev-Popov procedure to simplify some finite-dimensional integrals over spaces of matrices. Such integrals are known as matrix

Week 6 (due May 14) Reading: Srednicky, sectionIn this exercise you will apply the Faddeev-Popov procedure to simplify some finite-dimensional integrals over spaces of matrices. Such integrals are known as matrix

DocID: 1v5Qz - View Document

Geometry of Neural Network Loss Surfaces via Random Matrix Theory  Jeffrey Pennington 1 Yasaman Bahri 1 Abstract Understanding the geometry of neural network

Geometry of Neural Network Loss Surfaces via Random Matrix Theory Jeffrey Pennington 1 Yasaman Bahri 1 Abstract Understanding the geometry of neural network

DocID: 1v21M - View Document

Understanding and Improving Deep Learning with Random Matrix Theory Jeffrey Pennington Google Brain, NYC  November 8, 2017

Understanding and Improving Deep Learning with Random Matrix Theory Jeffrey Pennington Google Brain, NYC November 8, 2017

DocID: 1uOTm - View Document

Week 6 (due Feb. 19) Reading: Srednicki, sectionsNB: In the following problems it is better to use FeynCalc package for Mathematica than to do gamma-matrix traces by hand. See http://www.feyncalc.org/ for detaile

Week 6 (due Feb. 19) Reading: Srednicki, sectionsNB: In the following problems it is better to use FeynCalc package for Mathematica than to do gamma-matrix traces by hand. See http://www.feyncalc.org/ for detaile

DocID: 1uHIP - View Document

Compressed Sensing Theory Projection Matrix Theory

Compressed Sensing Theory Projection Matrix Theory

DocID: 1uwVY - View Document