Lecture Note #11

Combinatorial Algorithms Lecture Notes , Winter Term 10 / 11 Humboldt University Berlin

Statistic Machine Learning Probability Inequalities ( 3 ) Lecture Notes 11 : Probability Inequalities ( 3 )

Course : Model , Learning , and Inference : Lecture 11

Lighting and Lambertian NOTE: NOT FOR DISTRIBUTION!!

Notes on Class Field Theory , Postech Summer School 2010

Preface 1 Preliminaries: Galois theory, algebraic number theory 2 Lecture 1. CFT of Q: classical (Mo. 19/7/10, 9:40–10:40) 4 Lecture 2. CFT of Q: via adeles (Mo. 19/7/10, 11:00–12:00) 6 Lecture 3. Local CFT, local-global compatibility (Tu. 20/7/10, 9:40–10:40) 8 Lecture 4. Global CFT, l-adic characters (Tu. 20/7/10, 11:00–12:00) 10 Appendix A. More on GLC for GL1: algebraic Hecke characters 12 ...

Notes : Compressive Imaging and Regularized Image Reconstruction ( lecture 11 )

This document serves as a supplement to the material discussed in lecture 11. The document is not meant to be a comprehensive review of compressive sensing or compressive imaging. It is supposed to be an intuitive introduction to the basic mathematical concepts of compressive image reconstruction for the single pixel camera. More information can be found in the paper by Wakin et al. [2006], whi...

Lecture Notes on the Diperna-lions Theory in Abstract Measure Spaces

Contents 1. Introduction 1 2. Reminders on the Cauchy-Lipschitz theory 4 3. Nonsmooth vector fields in Euclidean spaces 4 4. Abstract setup 7 5. Derivations and their regularity 10 6. Eulerian side 11 6.1. Existence of solutions to the continuity equation 11 6.2. Uniqueness of solutions to the continuity equation 14 7. Lagrangian side 16 7.1. ODE's associated to derivations and Regular Lagrangi...