6.241J Course Notes, Chapter 5: Matrix perturbations

First Page		Document Content
Date: 2015-03-15 16:14:42 Matrix theory Numerical linear algebra Functional analysis Regression analysis Matrix norm Singular value decomposition Total least squares Rank Matrix Algebra Mathematics Linear algebra		6.241J Course Notes, Chapter 5: Matrix perturbations Add to Reading List Source URL: ocw.mit.edu Download Document from Source Website File Size: 694,66 KB Share Document on Facebook

	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 DocID: 1v21M - View Document
	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 DocID: 1uHIP - View Document
	Compressed Sensing Theory Projection Matrix Theory DocID: 1uwVY - View Document