Summer 2019 - MATH 895 G100

Reading (4)

Class Number: 1991

Delivery Method: In Person

Overview

  • Course Times + Location:

    Location: TBA

Description

COURSE DETAILS:

   



COURSE-LEVEL EDUCATIONAL GOALS:

Topics  
1 The Fast Fourier Transform   
- The FFT as an affine transformation.   
- The polynomial Newton iteration.   
- Fast division using the FFT.   
- Fast multi-point evaluation using the FFT.    

2 Computational Linear Algebra   
- The Bareiss fraction-free algorithm for computing det(A) and solving Ax=b.   
- The Berkowitz division free algorithm for computing det(A - lambda I)   
- Solving Ax=b over Q using p-adic lifting + rational reconstruction.    

3 Multivariate Polynomial Interpolation   
- Browns' algorithm for multivariate polynomial GCDs.   
- The Black Box model of computation.   
- Zippel's sparse interpolation.   
- Ben-Or/Tiwari sparse interpolation.    

4 Algebraic Number Fields   
- Representation of elements in Q(alpha) and calculating norms.   
- The Trager-Kronecker algorithm for factoring polynomials in Q(alpha)[x].   
- A modular gcd algorithm for Q(alpha)[x]   
- Cyclotomic fields and solving Ax=b over Q(alpha).    

5 Polynomial Data Structures and Algorithms    
- Multivariate polynomial representations and term orderings.   
- Polynomial multiplication and division using heaps.   
- The Kronecker substitution.    

6 Course Project and Additional Topics   
- Course project selection.   
- Writing papers using LaTex.   
- Multivariate Hensel Lifting.

Grading

  • 5 Assignments, 1 per topic 60%
  • Course Project (presentation as a written report) 40%

Materials

MATERIALS + SUPPLIES:

Modern Computer Algebra by von zur Gathen and Gerhard
Algorithms for Computer Algebra by Geddes, Czapor and Labahn

Graduate Studies Notes:

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Registrar Notes:

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