<--- Back to Details
First PageDocument Content
Algebra / Mathematics / Polynomials / Multiplication / Matrix theory / Linear algebra / Polynomial / Matrix / NC / Characteristic polynomial / Multiplication algorithm / Polynomial greatest common divisor
Date: 2003-09-22 06:40:39
Algebra
Mathematics
Polynomials
Multiplication
Matrix theory
Linear algebra
Polynomial
Matrix
NC
Characteristic polynomial
Multiplication algorithm
Polynomial greatest common divisor

Linear recurrences with polynomial coefficients and computation of the Cartier-Manin operator on hyperelliptic curves ´ Alin Bostan1 , Pierrick Gaudry2 , Eric Schost3

Add to Reading List

Source URL: www.csd.uwo.ca

Download Document from Source Website

File Size: 284,16 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