Higher courses, Math.Stat. Higher courses, Opt&Syst


KTHlogo Avdelning Matematik
Felaktig integral
     KTH Matematik

Graduate level courses at KTH and Stockholm University 2008-2009

Spring 2009

Bayesian networks

KTH, Timo Koski

Room 3721 (KTH), Tuesdays at 10-12. Course start: January 13



Ergodteori och stokastisk kalkyl

KTH, Michael Björklund, Boualem Djehiche

Room 3733 (KTH), Mondays at 10-12. Course start: January 12



Graduate reading course in algebraic statistics

KTH, Alexander Engström, Timo Koski, Lars Svensson

Room 3733 (KTH), Fridays at 15-17. Course start: November 28



Introduction to the theory of spectral sequences

SU, Sergei Merkulov

Room 306 (SU), Fridays at 13-15. Course start: January 23



Numerical nonlinear programming

KTH, SF3840, Anders Forsgren

Room 3721 (KTH), Thurdays at 13-15. Course start: January 15

Course page

The course deals with algorithms and fundamental theory for nonlinear finite-dimensional optimization problems. Fundamental optimization concepts, such as convexity and duality are also introduced. The main focus is nonlinear programming, unconstrained and constrained. Areas considered are unconstrained minimization, linearly constrained minimization and nonlinearly constrained minimization. The focus is on methods which are considered modern and efficient today.

Unconstrained nonlinear programming: optimality conditions, Newton methods, quasi-Newton methods, conjugate gradients, least-squares problems.

Constrained nonlinear programming: optimality conditions, quadratic programming, SQP methods, penalty methods, barrier methods, dual methods.

Linear programming is treated as a special case of nonlinear programming.

Semidefinite programming and linear matrix inequalities are also covered.



Operator theory: an easy introduction

KTH, Håkan Hedenmalm

Room 3733 (KTH), Tuesdays at 15-17. Course start: January 27



Spectral theory and its applications

KTH, Ari Laptev

Room 3733 (KTH), Fridays at 9-12. Course start: January 16



Topics in mathematics V: Clifford algebras, geometric algebra, and applications

KTH, SF 2725, Lars Svensson and Douglas Lundholm

Room 3721 (KTH), Thurdays at 15-17. Course start: January 29

Course page (in Swedish)

It is well known that the complex numbers form a powerful tool in the description of plane geometry. The geometry of 3-dimensional space is traditionally described with the help of the scalar product and the cross product. However, already before these concepts were established, Hamilton had discovered the quaternions, an algebraic system with three imaginary units which makes it possible to deal effectively with geometric transformations in three dimensions.

Clifford originally introduced the notion nowadays known as Clifford algebra (but which he himself called geometric algebra) as a generalization of the complex numbers to arbitrarily many imaginary units. The conceptual framework for this was laid by Grassmann already in 1844, but it is only now that one has fully begun to appreciate the algebraisation of geometry in general that the constructions of Clifford and Grassmann result in. Among other things, one obtains an algebraic description of geometric operations in vector spaces such as orthogonal complements, intersections, and sums of subspaces, which gives a way of proving geometric theorems that lies closer to the classical synthetic method of proof than for example Descartes's coordinate geometry. This formalism gives in addition a natural language for the formulation of classical physics and mechanics.

The best known application of Clifford algebras is probably the "classical" theory of orthogonal maps and spinors which is used intensively in modern theoretical physics and differential geometry.

This course will run as a graduate course, but it will also be possible to take it as an advanced level course.

Read more here:



Youngtablåer

SU, Rikard Bøgvad

Room 306 (KTH), Wednesdays at 10-12 (might change). Course start: February 4




Sidansvarig: Webmaster