LiU / Matematiska Institutionen

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Ett informationsblad från matematiska institutionen vid Linköpings universitet. Material till Lite Mat lämnas till Maud Lindström litemat@mai.liu.se senast torsdagar kl 12.00.

Vi har dessutom ett arkiv av gamla nummer.

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***LITE MAT***

Ett informationsblad från matematiska institutionen vid Linköpings universitet

v21 2004

Viktigt inför delårsrapporten 1 januari - 30 juni 2004

15 juli är sista dag för inrapportering i LADOK av samtliga uppgifter (resultat, examina, registrering mm) avseende perioden t o m 30 juni. Detta gäller både grund- och forskarutbildningen.

Reseräkningar (konterade och attesterade) avseende våren lämnas till Inger Pettersson senast OBS! 28 juni.

Lönematerial avseende våren skall vara Marthina respektive Monika tillhanda senast 7 juni.

Den 7 juni är sista dag att internfakturera andra enheter inom LiU/HU. Jag vill ha underlag till internfakturor senast 2 juni. Underlag till externfakturor och omföringar vill jag ha före midsommar.

Tänk på att ansöka om ev reseförskott redan nu. Under v 29-31 kan inga reseförskott utbetalas.

Ulla Segring

Matematiska kollokviet

Onsdagen den 19 maj, kl. 13.00-14.00 talar Dr. Krzysztof Marciniak, ITN

Geometric approach to Dirac theory of constrained Hamiltonian systems

Sammanfattning: Given a foliation $ S$ of a manifold $ M$, a distribution $ Z$ in $ M$ transversal to $ S$ and a Hamiltonian system on $ M$ we present a geometrical method of reducing this system on the foliation $ S$. We analyse its relation with the classical ideas of P.A.M. Dirac on constrained Hamiltonian systems (Dirac reduction) and with the more modern theory of J. Marsden and T. Ratiu. Our method is constructive and "constraint-independent" in the sense that it does not depend on the functions that define the foliation $ S$. As a consequence, in case of a second class constraints (in the terminology of Dirac) one can perform not only usual Dirac reduction of Poisson (Hamiltonian) systems to submanifolds but also other types of reductions.

Tisdagen den 1 juni, kl. 13.15-14.15 talar Professor Sergei Avdonin, University of Alaska, Fairbanks,

Boundary control method in inverse problems of mathematical physics

Sammanfattning: The boundary control (BC) method reveals that the two central problems of the theory of inverse problems and control theory have a direct connection with each other. The first one, together with the recovery of the coefficients, consists in the construction of a map extending the solution inside the domain, from the data on their behavior on the boundary. The second one is the controllability of the corresponding initial boundary value problem. Roughly speaking, the BC method gives the realization for distributed systems of R. Kalman's idea that the controllable (or observable) part of a system can be identified. One of the important results of the BC method is obtaining multidimensional analogs of the Gelfand-Levitan-Krein-Marchenko equations. It is interesting to note that these equations have a clear control-theoretic meaning which makes their derivation much more simple than the original derivation of one-dimensional versions.
The BC method was first proposed for the multidimensional wave equation (Belishev, 1987) and was extended to non-self-adjoint inverse problems, to the heat equation and several other types of PDEs. In the first part of this talk we shall describe the main ideas of this method on a classical example of the (1d) string equation. Then we shall discuss new controllability and indentification results for the Schrödinger equation and for the wave equation on graphs.

Lokal: ISY/MAI:s seminarierum Glashuset, ing 25.

Välkomna!
Vladimir Kozlov,
Svante Linusson och
Stefan Rauch-Wojciechowski

Ämnesdidaktiska seminariet

Torsdagen den 27 maj, kl 13.15-14.15, talar Prof. Norma Presmeg, Illinois State University, om Visualization and generalization in the learning of mathematics. En sammanfattning kommer att finnas på ämnesdidaktiska seminariets hemsida http://www.mai.liu.se/TM/didaktik/seminarier.html.

Lokal: ISY/MAI:s seminarierum Glashuset, ing B25.

Välkomna!
Ämnesdidaktiska gruppen Information: Christer Bergsten, chber@mai.liu.se, tfn 282984

Seminarier i matematisk statistik

OBS ! Datum och lokal

Måndag den 17 maj, 15.15 - 17.00, talar Dr. Harry Hurd Department of Statistics, University of North Carolina, Chapel Hill

Spatial Probabilities for Clusters Based on Correlation Distance

Sammanfattning: Clustering based on the correlation distance is often desirable because of the inherent scale invariance. Since scale invariance essentially tranforms the problem to the hypersphere, we use spherical caps as a means to measure the spatial size of a cluster. Using this idea, we show that an analysis of the clusters specified by cutting the dendrogram tree at various levels can provide an understanding of the spatial makeup of the data. For example, several senses of p-value for clusters can be determined. Examples are given from the analysis of microarray data.

Lokal: Kompakta rummet

Välkomna !
Timo Koski
Information: tikos@mai.liu.se, tfn: 28 1454

Onsdagen den 26 maj kl 15.15-17.00, talar Dr. Tero Aittokallio Turku Centre of Computer Science (TUCS) & Turku Centre of Biotechnology, University of Turku, Finland

Computational strategies for analyzing data in gene expression microarray experiments

Sammanfattning: Microarray analysis has become a widely used method for monitoring gene expression levels on a genomic scale. Although this powerful new research tool has been enthusiastically applied in many fields of biomedical research, accurate analysis and interpretation of the data have provided many challenges. Several analysis steps are needed to convert thousands of noisy data points into reliable and interpretable biological information. In this talk, some of the common themes in DNA microarray data analysis are overviewed and their relative merits and potential pitfalls discussed. Conventional analysis steps, including data normalization followed by class comparison, class prediction, and class discovery are demonstrated on real DNA microarray experiments. More sophisticated analysis methods beyond classification seek to elucidate interactions between elements in a genetic network from microarray data. Efficiency of a simple Boolean network paradigm for inferring genetic regulato ry interactions is tested in a simulation study.

Lokal: Glashuset

Välkomna !
Timo Koski
Matematiska institutionen
Information: tikos@mai.liu.se, tfn: 28 1454

Seminarium i beräkningsvetenskap

Onsdagen den 19 maj kl 10.15 talar Åke Björck under rubriken

Bidiagonal Decomposition and Least Squares Problems

Lokal: Seminarierummet Algoritmen på ISY

Välkomna!
Lars Eldén

Seminarium i optimeringslära

Onsdagen den 19 maj kl 14 talar P-O Lindberg

Multicommodity Flow Problems

Convex Multicommodity Flow Problems (CMFP:s) appear in many transportation and communication problems, in particular traffic assignment and telecom message routing.
CMFP:s tend to be huge, whence specialized methods often are needed. The dominating method in practice is the Frank-Wolfe method, which has fast initial but slow asymptotic convergence. Faster (origin based) methods have been suggested recently, though.
For this problem class, we suggest a new bidual approach, that promises to be both fast and accurate. The dual problem to a differentiable, strictly convex CMFP is an (essentially) unconstrained problem with piecewise differentiable strictly concave objective We have devised a dual ascent scheme for this problem. It is based on

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determination of Newton like ascent directions in the currently active differentiable piece, through the solution of a restricted-relaxed bidual problem.
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line searches, where we recursively update shortest path trees.
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treating of the ridges encountered in the line searches in an active set fashion.
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optimality checks, where feasibility of tentative multicommodity flow solutions are verified.

The seminar will be delivered in two parts (on May 19 and June 2). In the first part, I will mainly give the detailed structure of the problem, its duals and biduals. In the second part I will concentrate on the algorithmic parts and some computational results.
The talks are based on joint work with Kristoffer Hägglöf.
The problems studied may seem specialized, but the approach used has bearing also on other structured problems. Lokal: Glashuset

Välkomna!

Seminarium i Statistik

Tisdagen den 25 maj, kl 13-15 talar Kalle Wahlin

Extracting the essence of process-based models of the flow of nitrogen through catchments

Process-oriented models of the flow of nitrogen through catchments can have very complex dynamic properties. We introduced several types of ensemble runs that can provide informative summaries of meteorologically normalised model outputs and also clarify the extent to which such outputs are related to various model parameters. Specifically, we showed how nitrogen and water travel times in the unsaturated and saturated zones can be assessed. Studies of the catchment model INCA-N revealed that the temporal distribution of the modelled water quality response to changes in fertiliser application was determined primarily by the hydromechanical model parameters, whereas the magnitude of the total intervention effect was influenced mainly by the parameters governing the turnover of nitrogen in soil. In addition, the nitrogen travel times in this model were invariably shorter than the water travel times, due to preferential removal of the nitrogen that has unusually long residence times.gh to correctly explain the widespread observations of slow water quality responses to changes in agricultural practices.

Lokal: Kompakta rummet, ingång 23

Välkomna!

Licentiatseminarier

Tisdagen den 25 maj kl 13.15 presenterar fil.mag. Johan Lundvall sin lic. avhandling med titeln

Reconstruction of Velocity Data using Adjoint Optimization

Abstract: In many application areas there is a growing interest in data assimilation or data reconstruction. Data assimilation is a process for integrating observed or measured data into a physical model. The problem originates from a vast array of different topics: traditionally in metereological and oceanographic modelling, and recently from non-invasive medical measurement devices such as magnetic resonance imaging. The measured data may contain inaccurancies and random noise, given with low spatial and/or temporal resolution.
This thesis presents a method for solving reconstruction problems in fluid dynamics using optimal control theory. The problem considered here includes a known partial differential equation and some spatially and temporarily sparsely distributed data with an unknown initial state. From a given velocity field $ u^*$, a flow field $ u$ is determined which satisfies a given system of partial differential equations and minimizes $ \Vert u-u^*\Vert _{L^2}$. The function $ u(x,t)$ is known at the boundary and the initial condition $ u_0(x)$ is used as design variable. The optimization problem is solved using adjoint formulation.

Lokal: Glashuset

Välkomna
Per Weinerfelt

Torsdagen den 3 juni kl 10.15 presenterar fil.mag. Peter Brostöm sin licenciat avhandling med titeln

Optimization in the Design of OSPF Telecommunication Networks

Abstract: This thesis address optimization problems related to the design of IP (Internet Protocol) networks. One of the most commonly used IGP's (Interior Gateway Protocols) in telecommunication networks is the OSPF (Open Shortest Path First) protocol with ECM (Equal Cost Multipath) distribution. This link state based protocol uses link weights, which usually are set by an network operator, for providing routers necessary information regarding how traffic should be routed. By shortest path computations, router decide by themselves how to distribute the traffic.
One problem considered in this thesis is the problem of designing networks which are capable of accommodating large parts of the traffic when network components fails. Link failures are the most common failures, and this is the kind of disturbance which is considered. A multiobjective optimization model is presented and we search for pareto-optimal solutions using a two-phased weight based search method. This method tries to minimize the design cost simultaneously as the level of network survivability is maximized. This method uses the fact that is is easy to compute how traffic is distributed when the OSPF metric is known.
In contrary, it is a much more difficult task to determine if there are any OSPF weights that yield a desired flow distribution. This is a topic which also is studied in the thesis. Necessary conditions, which flow patterns must fulfill for being identical to the shortest paths obtained from OSPF weights, are reported. Sufficient conditions for a special type of flow patterns are also presented. The thesis also contains a polynomial method which can be used for detecting impossibilities in a set of flow patterns when this set do not correspond to the shortest paths of any OSPF weights.
Flow patterns are the basis for a new model which is developed for designing IP networks where OSPF and ECM distribution is used. This model uses a set of in-graphs in order to represent weights implicitly. The model also uses a new set of constraints used for modeling ECM distribution. The usefulness of the model is verified by computational experiments.

Lokal: BL32

Välkomna
Kaj Holmberg

Redovisning av projekt

Deltagarna i den nya CDIO-projektkursen i tillämpad matematik för Y och MatNat (TATA37) redovisar sitt projekt om optimal design av digitala filter. Intresserade åhörare är välkomna!

Tid: tisdag 18 maj kl 13.15

Lokal: R42

Hans Lundmark och Jörgen Blomvall

Doktorandkurs i matematisk statistik ht/vt 2004-2005

Bayesian Statistics and MCMC computation
ht03/vt01 2004-2005

Schedule

The course will be given in two parts (I-II) in Linköping, at Campus Valla of LiU/LiTH.

I
During the weeks 35$ -$40, August-September, 2004, 2h per week, with possible extension to October 2004.

II
January 2005, in consultation with the participants.

Preliminary Topics

  1. From Prior Information to Prior Distribution Roberts chap. 3
  2. Bayesian Point Estimation, Tests and Confidence Regions Roberts chap. 4, chap. 5
  3. Essentials of Markov chains for MCMC Literature yet to be decided.
  4. Bayesian Computation, MCMC sampling Roberts chap. 4, Chen et.al. chap. 2.
  5. MCMC for Estimating Posterior Quantities Chen et.al. chap. 3
  6. Estimating Marginal Posterior Densities Chen et.al. chap. 4
  7. Model Choice Roberts chap. 7, Chen et.al. chap. 8
  8. MCMC and Bayes Networks Additional material

Possible Additional/Alternative Topics

  1. Software, e.g. BUGS
  2. Particle Filtering
  3. Application to Estimation of Evolutionary Phylogenetic Trees

Examination

Home work: analytic problems, computer assignments. Presentations by participants.

Homepage

http://www.mai.liu.se/~tikos/kurser/bayesmcmc.html

Course Literature:

  1. M-H Chen, Q-M Shao & J.G. Ibrahim (2000) Monte Carlo Methods in Bayesian Computation , Springer Verlag,
    ISBN: 0-387-98935-8

  2. C.P. Roberts (2001):The Bayesian Choice. Second Edition, Springer Verlag,
    ISBN: 0-387-95231-4

Support Literature:

  1. J.M. Bernardo and A.F. Smith (1994): Bayesian Theory. John Wiley & Sons.
    ISBN 0 471 92416 4

  2. E.T. Jaynes, G.Larry Bretthorst (Editor): Probability Theory: The Logic of Science: Principles and Elementary Applications. Cambridge University press, Hardback
    ISBN: 0521592712

  3. W.R. Wilks, S. Richardson, and D.J. Spiegelhalter (1996): Markov Chain Monte Carlo in Practice. Chapman & Hall.
    ISBN: 0 412 05551 1
Information & Preliminary Registration

Timo Koski
tikos@mai.liu.se, tfn: 013 - 28 1454.

Doktorandkurser Tillämpad matematik

Läsåret 2004-2005 ges följande doktorandkurser vid TM:

Höstterminen 2004
Dynamiska system, 5p (Stefan Rauch)
Fourieranalys, 5p (Bengt Ove Turesson)
Matematikens historia, 3p (Olle Axling)

Vårterminen 2005
Icke-linjär analys, 5p (Vladimir Kozlov)
Kombinatorik, 5p (Svante Linusson)
Topologi, 5p (Vitalij Tjatyrko)

Detaljerad information om kurserna kommer senare.

Välkomna!
Svante Linusson, Bengt Ove Turesson

Presentation av examensarbeten

Tisdagen den 18 maj kl. 10-11 presenterar Åsa Revenius sitt examensarbete (10p)

Enumerering av lösningar till det binära kappsäcksproblemet

Sammanfattning: Kappsäcksproblemet består i att välja vilka av n stycken element som ska packas i en kappsäck. Varje element har en given vikt och kappsäcken har en viktbegränsning, vilken inte får överskridas. En optimallösning till problemet fås genom att summan av elementens värde maximeras. I detta arbete söks inte endast den optimala lösningen till problemet, utan alla lösningar vars målfunktionsvärde är lika med eller överskrider ett givet värde. Syftet med arbetet är att utveckla en lösningsmetod för problemet att enumerera ett antal när-optimala lösningar till det binära kappsäcksproblemet, att implementera metoden i programmeringsspråket C, samt att utvärdera lösningsmetoden på testproblem. Metoden som utvecklats bygger på en trädsökningsmetod, Expknap, som tagits fram av David Pisinger vid Köpenhamns Universitet ([3]). Denna metod har sedan modifierats för att kunna lösa det beskrivna enumereringsproblemet.
Resultaten visar att den modifierade versionen av Expknap tar fram korrekta lösningar. Tester har utförts på problem med mellan 5 och 200 variabler med exekveringstider mellan 0.161 och 12036.7 sekunder och mellan 4-34 551 536 120 stycken lösningar har maximalt enumererats. Dessa exekveringstider gäller då man sökt tillåtna lösningar med ett målfunktionsvärde med lägsta värde på 0.1 % från det optimala målfunktionsvärdet. Samtliga tester har utförts på en PC med en AMD Athlon 800 MHz processor.

Lokal: Kompakta rummet

Välkomna!
Maud Göthe-Lundgren

Fredag den 14 maj presenteras två examensarbeten inom pedagogiskt arbete, lärarprogrammet, vid Matematiska institutionen.

kl. 10.15-11.00, Maria Artursson: "Plus, minus, delat, gånger, att tänka och att använda hjärnan" En studie av elevers och deras lärares uppfattningar om matematik. Opponent är Anna Aronsson.

kl. 11.15-12.00 Anna Aronsson: "Att gå från det konkreta till det abstrakta, att det blir konkret för barnen" En undersökning av hur lärare använder och värderar olika laborativa material i matematikundervisningen i år 1-3. Opponent är Maria Artursson Seminarieledare: Christer Bergsten

Lokal: Hus B, ingång 23, 1 trappa, Determinanten.

Välkommen!
Maria Bjerneby Häll och Christer Bergsten

OBS: Material till Lite Mat nästa vecka v22 måste lämnas onsdag kl 12.00



Mer information om MAI finns på MAIs hemsida.
Material till Lite Mat lämnas till Maud Lindström senast torsdagar kl 12.00.
Tel 013-281405, Fax 013-149403, Email: litemat@mai.liu.se.


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Sidan underhålls av: LiteMat litemat@mai.liu.se
Senast ändrad: Wed 2012-08-29; 15:43 CEST