- Today's Editor:
- Tamara G. Kolda
- Sandia National Labs
- tgkolda@sandia.gov

- Re: Fortran versus Matlab in teaching numerical analysis
- MATLAB versus FORTRAN in teaching Numerical Analysis
- Programming in Teaching Numerical Analysis
- Re: Matlab versus Fortran in Teaching Numerical Analysis
- Teaching of Numerical
- Re: MATLAB vs Fortran
- Olga Taussky Todd Lecture Award to Pauline van den Driessche
- Call for submissions, EUROGEN 2007, Finland, June 11-13 2007
- Summer School, Jul 15 - Aug 10, 2007, Dalhousie, Halifax, Canada
- EURO XXII 2007, Prague, July 8-11, 2007 (and satellite events)
- Meshfree Methods for Partial Differential Eqns, Germany, Sep 17-20, 2007
- 2nd CFP: Athens-HERCMA 2007 Conference, Sept. 20-22, 2007
- CSC07 Workshop Dinner in honor of Iain Duff on Feb 17, 2007
- VMS2007, Miniworkshop, Stabilized Methods, EPFL, Lausanne, Feb 12-13
- Applications of Math in Eng & Econ, AMEE'07, Bulgaria, Jun 8-14, 2007
- CERFACS Anniversary Meeting, Oct 11-12, 2007
- Faculty Position in Scientific Computing at Penn State
- Lectureship/Senior Lectureship in Comp. Math., U. Birmingham (UK)
- Position in mathematical biology/biostats, University of New Mexico
- 3 positions in Appl/Comput Math at UNLV
- Lectureship in Applied Mathematics at the University of Edinburgh
- Postdoctoral position at RPI
- Post-doctoral opportunity in continuous optimization at Tokyo Tech
- Contents, Mathematical Modelling and Analysis vol.11 no.4
- Contents, Nonlinearity, volume 20, issue 1, January 2007
- Contents, Journal of Scientific Computing
- Subscribe, unsubscribe, change address, or for na-digest archives:
- http://www.netlib.org/na-net

-------------------------------------------------------

From: Jens Hugger <hugger@math.ku.dk>

Date: Tue, 12 Dec 2006 08:08:16 -0500

**Subject: Re: Fortran versus Matlab in teaching numerical analysis**

Professor Martin Gander wrote in NA Digest V. 06, # 50 about Fortran versus

Matlab in teaching numerical analysis.

I am using both. Actually it is Maple and C, but essentially the same thing.

Maple, Mathematica, Matlab and so on all offer "easy access".

In most Num.An. courses you suffer from "lack of prerequisites". In my

ODE-course for example, we do not have the time to cover solution of linear

equation systems. Hence we treat this as a black box and use Maple's built in

linear equation solver.

Also in a very short time, the students are able to graphically relay their

results with Maple.

Obviously, you very soon run into problems with excessive computing times, but

Maple is generally enough for the "First course in..."

For the more advanced courses I then introduce external C-routines called from

inside Maple.

I still believe that Fortran is the best language for Numerical Analysis, but

unless you can count on a significant number of students taking more than just

one or two courses, I think that it is wise to built on the prior knowledge

among the students. At University of Copenhagen we use Maple for the

introductory calculus courses, and C is still the most dominant "real language".

Sincerely

Jens hugger

Assoc. Prof. in Numerical Analysis

University of Copenhagen

-------------------------------------------------------

From: "Komzsik, Louis" <komzsik@ugs.com>

Date: Mon, 11 Dec 2006 08:33:51 -0800

**Subject: MATLAB versus FORTRAN in teaching Numerical Analysis**

It is my personal belief that there is significantly more educational

value in requiring a student to implement a certain numerical algorithm

in FORTRAN than just being able to use some canned numerical algebraic

components of MATLAB, latter being an unfortunately dominant trend in

undergraduate numerical methods courses in many state universities.

Considering also the fact that there is a serious shortcoming of new

computer scientists and engineers who know FORTRAN and, as Prof Gander

pointed out, there are widely spread software tools (like NASTRAN) with

multi-million lines of operational FORTRAN code, teaching numerical

methods classes with FORTRAN could help in this regard as well.

Louis Komzsik

Chief Numerical Analyst

UGS Corp.

-------------------------------------------------------

From: Joe Grcar <jfgrcar@lbl.gov>

Date: Tue, 12 Dec 2006 10:38:58 -0800

**Subject: Programming in Teaching Numerical Analysis**

Regarding Martin's question about what programming

language to use in teaching numerical analysis: the

best ones are whichever instructors know well and

whichever best serve to illustrate simple concepts,

hence probably matlab.

However, mastery of interpreted language environments

of the matlab kind emphatically does not prepare students

to function in the real world of scientific computing.

There it is necessary to know both the c++ and f90

families as well as scripting languages such as perl and

python.

An aspect of computational science that I find lies

outside the experience of academic numerical analysts is

that most codes are too complex and too large for any

one individual to understood completely. It is not enough

to master conceptually simple mathematical algorithms,

one has to master how those algorithm are pieced together

through control and data structures that cannot be changed

(or can only be changed through negotiation with many

other parties) and which are made all the more complex

by parallelism. A particularly good recent paper that

illustrates the overlap of applied math, computer science,

and domain science in one application code is

http://sc06.supercomp.org/schedule/event_detail.php?evid=5027

This description of new software for protein folding was

selected as the best paper at this year's supercomputing

conference. My question to Martin and other teachers is:

how does one prepare students to function as a numerical

analyst in the teams of a dozen or so people who write

this kind of software?

Best holiday wishes from a rainy San Francisco, -- Joe

Joseph Grcar

Lawrence Berkeley National Laboratory

-------------------------------------------------------

From: Mike Sussman <sussmanm@math.pitt.edu>

Date: Wed, 13 Dec 2006 18:35:22 -0500

**Subject: Re: Matlab versus Fortran in Teaching Numerical Analysis**

In response to Martin Gander's question, my opinion is that Matlab is

by far the best language to teach numerical analysis.

I have taught a graduate level numerical analysis laboratory in the

Math department at the University of Pittsburgh for several years.

The focus of the lab is primarily numerical analysis and secondarily

on programming. It seems to me that if you want to teach numerical

analysis, then Matlab greatly simplifies the associated programming

task. In the following four paragraphs, I list some of the items I

feel that strongly point toward Matlab over Fortran.

VARIABLE DECLARATIONS

Writing a Fortran (or C or C++) program involves variable declarations

that get in the way of numerical work. Why, for example, should the

students have to be taught the difference between an integer, a

single-precision real number, a double-precision real number, a

single-precision complex number, or even (if you are lucky) a

double-precision complex number? And then there is the difference

between a scalar and array variable. Wouldn't the time spent on

these distinctions be better spent discussing, to name one, roundoff

error?

POST-PROCESSING

One of the most powerful teaching tools is graphical output. Matlab

makes it easy to present output graphically, but you will have to use

some plotting package to generate graphical output from more

general-purpose languages. You will need to explain how to call the

plotting routines, and how to link against the required library. I

imagine you will spend about a class hour explaining this material--is

it worth the time?

DEBUGGING

Students will have to learn to debug their code. Debugging is the

hardest and most time-consuming of the code generation tasks. Matlab

provides an integrated window-based debugger, while you will need

to locate and install one for compiled languages such as Fortran.

LINKING AND BUILDING

It is often the case that students will have five or more subroutines

or functions grouped into a single logical program. A root-finder

along with several examples comes to mind. To do this "right" in a

command-line environment involves a "make" or similar program. In an

integrated development environment, the association among the several

files must be described to the environment. Explaining how to do this

takes valuable class time.

On the other hand, are you short-changing the students by not exposing

them to the workhorse programming languages? My feeling is that

students who progress from Matlab to a mainstream programming language

do have some trouble dealing with the details that Matlab hides (for

example, declarations). But many of the students will never progress

to another programming language. In today's environment of very

powerful computers, a vast amount of numerical work can be done on

computers running Matlab. There is a tradeoff to be made, and it is

based on the number of students who are going to be learning Fortran

anyhow.

In summary, for a class focussed on numerical analysis Matlab is

a better choice of programming language than mainstream programming

languages such as Fortran, C, Java, etc.

Mike Sussman

sussmanm@math.pitt.edu

-------------------------------------------------------

From: "Dr. Pijush K Bhattacharyya" <bhattap1@westminster.ac.uk>

Date: Mon, 11 Dec 2006 18:13:12 +0000

**Subject: Teaching of Numerical**

Martin Gander wrote:

"Following Gene Golub's suggestion for discussions on the NA-Digest, I would

like to ask how people feel about programming languages to

teach numerical analysis. Should one use Fortran, one of the top 10 algorithms

of the 20th century, a language in which most large scale existing codes are

written ? Or should one use Matlab, or even C++ or Java ? "

I see no reason to believe that the teaching of Num Analysis is greatly affected

by the choice of its usage of computer language. In fact quite often I have used

Matlab, C++ and Fortran , depending on the student body I'm facing. In the

eighties, as a visiting faculty at UC-Berkeley, I taught Num Analysis both to

2nd year math students in C++ and also to ph.d qualifiers of Mech Eng in

Fortran - without worrying much, as the cohorts were used to these two

languages respectively.

Of late, I'm using Matlab to teach the subject to a mixed bag of engineers!

So I'm not totally convinced of the choice in the usage of programming

languages. But then, I could be wrong!

Dr. Pijush K Bhattacharyya

Senior Professor & Director of International Operations

School of Informatics

University of Westminster

-------------------------------------------------------

From: Tim Davis <davis@cise.ufl.edu>

Date: Mon, 11 Dec 2006 11:05:54 -0500

**Subject: Re: MATLAB vs Fortran**

My bias is MATLAB for teaching numerical analysis, and C/C++ where needed. In

a recent book on sparse direct methods, for example, I chose C to get into the

detailed algorithmic/data structures issues inside sparse direct methods, but

MATLAB to clearly illustrate overall algorithms and methods. C is clear,

fast, and expressive. MATLAB is superior to C, except when you need to

express computations that don't fit well into a pure matrix formulation

(computing an elimination tree, traversing a graph, ...).

Regarding Martin's comment that Fortran is "a language in which most large

scale existing codes are written": for one domain (sparse direct methods), I

included a nearly exhaustive list of available software in my book, sequential

and parallel, commercial and otherwise. Some of these are very large-scale

codes. (see http://www.cise.ufl.edu/research/sparse/codes/). Skimming that

table, I see 21 codes in Fortran, and 24 in C/C++. I could name many other

large scale codes written in C/C++ as well. For example, I would hazard a

guess that most optimized BLAS are written in C (Intel MKL, AMD's ACML, etc).

Excluding m-files that are part of MATLAB, the core of MATLAB itself is mostly

written in C/C++, with some Java (GUI's and such), and some Fortran (LAPACK).

(sorry - this isn't meant to be a plug for my book. It's just one data point

I'm familiar with).

-------------------------------------------------------

From: Chandler Davis <davis@math.toronto.edu>

Date: Sun, 17 Dec 2006 13:28:29 -0500

**Subject: Olga Taussky Todd Lecture Award to Pauline van den Driessche**

Olga Taussky Todd Lecture Description:

AWM and EWM, together with the organizers of the ICIAM 2007 Congress,

will award th Olga Taussky Todd Lecture at the ICIAM 2007 Congress in

Zurich.

This honor is to be conferred to a woman who has made outstanding

contributions in applied mathematics and /or scientific computation. The

name of this lecture pays tribute to the memory of Olga Taussky Todd,

whose scientific legacy is in both theoretical and applied mathematics,

and whose work exemplifies the qualities to be recognized.

The Committee has chosen Pauline van den Driessche as the Lecturer. She

has accepted and will deliver the Lecture at ICIAM 2007. A fuller press

release will be issued by AWM and EWM.

Chandler Davis

-------------------------------------------------------

From: Marja-Leena Rantalainen <rantalai@mit.jyu.fi>

Date: Fri, 15 Dec 2006 14:14:11 +0200 (EET)

**Subject: Call for submissions, EUROGEN 2007, Finland, June 11-13 2007**

EUROGEN 2007 conference

On Evolutionary and Deterministic Methods for Design,

Optimization and Control with Applications to Industry and Social Problems

will take place in Jyvaskyla, Finland, June 11-13, 2007.

Algorithmic topics

1. Evolutionary algorithms (including Evolutionary programming, Evolution

Strategies and Genetic Algorithms)

2. Multi-objective evolutionary algorithms and constraint handling

techniques

3. Hybridization with standard optimization tools (gradient based methods,

combinatorial optimization methods)

4. Response Surface methods and other embeddings of Machine learning

techniques

5. Parallel and distributed Evolutionary Algorithms (from LANs to GRID)

6. Multi-disciplinary optimization methods

7. Economic and Social simulations

8. Multi criteria decision making tools

Deadline for abstract submission is January 15, 2007.

For more information about the conference, please visit the Website

http://www.mit.jyu.fi/scoma/Eurogen2007/

More information about Jyvaskyla area could be found at

http://www.jkl.fi/lang/

-------------------------------------------------------

From: Pat Keast <keast@mathstat.dal.ca>

Date: Tue, 12 Dec 2006 12:46:04 -0500

**Subject: Summer School, Jul 15 - Aug 10, 2007, Dalhousie, Halifax, Canada**

The sixth annual Summer School of the Atlantic Association for Research in the

Mathematical Sciences (AARMS) will be held in the Department of Mathematics

and Statistics on the campus of Dalhousie University, Halifax, Nova Scotia,

from July 15 to August 10, 2007. The School Director is Pat Keast, email

keast@mathstat.dal.ca .

The summer school is intended for graduate students and promising

undergraduate students from all parts of the world. Each participant is

expected to register for two of the courses. Each course consists of five

ninety-minute lectures each week. These are Dalhousie University graduate

courses and we will facilitate transfer credit to the extent possible.

As in the previous Schools, four courses will be offered:

* Polynomials

Instructor: Ed Barbeau, University of Toronto

* Statistical Numerical Integration

Instructor: Alan Genz, Washington State University

* Mathematical Models in Ecology and Evolution

Instructor: Frithjof Lutscher, University of Ottawa

* Introduction to Number Theory

Instructor: Alf van der Poorten, MacQuarie University

If your application is accepted, your accommodation and meals will be covered

while the School is running. Unfortunately, we cannot cover travel costs. For

more information on course content see http://www.aarms.math.ca/summer/2007 To

obtain an application form contact keast@mathstat.dal.ca or download a form

from the School website.

-------------------------------------------------------

From: gerhardwilhelm weber <gweber@metu.edu.tr>

Date: Wed, 13 Dec 2006 09:24:24 +0200

**Subject: EURO XXII 2007, Prague, July 8-11, 2007 (and satellite events)**

EURO XXII, PRAGUE

CALL FOR PAPERS

Prague, Czech Republic, July 8-11, 2007

22ND EUROPEAN CONFERENCE ON OPERATIONAL RESEARCH

http://euro2007.vse.cz/

The 22nd European Conference on Operational Research

EURO XXII is organized by the Czech Society for Operational Research

in co-operation with the University of Economics,

Prague and will be held on the University campus site located

near to the Historic centre of Prague.

IMPORTANT DATES

On-line registration: starts in October 2006

Deadline for abstract submission: February 28, 2007

Deadline for early registration: April 15, 2007

Conference: July 8-11, 2007

CONFERENCE TOPICS

We invite all researchers, academicians, practitioners, as well

as students interested in all branches of operational research,

mathematical modeling and economic analyses to participate

at the conference and to present their papers.

SESSIONS

Invited and contributed papers will be organised in parallel

sessions of 90 minutes, with three or four papers in each session.

Abstracts can be submitted via the Conference web page -

euro2007.vse.cz. Every participant can present no more than

one paper at the Conference.

Invited and contributed sessions will generally be a part of

Conference main streams. Their list together with two

responsible organisers is presented on the Conference web

page. The researchers who want to organise an invited session

or contribute a paper within an invited session should contact the

stream organiser or PC chair with their proposals.

SATELLITE EVENTS

There are some scientific events in preparation already,

organized by EURO Working Groups and their friends:

A Joint EUROPT-OMS Meeting:

2nd Conference on Optimization Methods & Software and

6th EUROPT Workshop "Advances in Continuous Optimization",

Prague, Czech Republic, July 4-7, 2007

http://cio.umh.es/europt-oms/,

EURO-CBBM Workshop -

Workshop on OR in Computational Biology, Bioinformatics and Medicine,

Prague, Czech Republic, July 7-8, 2007

http://euro2007.vse.cz/cbbm.pdf,

A Workshop on OR for Developing Countries ---

Young Researchers and PhD Symposium

http://euro2007.vse.cz/wordc.doc.

-------------------------------------------------------

From: Meshfree Methods <meshfree@ins.uni-bonn.de>

Date: Mon, 18 Dec 2006 13:17:03 +0100

**Subject: Meshfree Methods for Partial Differential Eqns, Germany, Sep 17-20, 2007**

FIRST ANNOUNCEMENT AND CALL FOR PAPERS

Fourth International Workshop

Meshfree Methods for Partial Differential Equations

Bonn, Germany

September 17 - 20, 2007

http://wissrech.ins.uni-bonn.de/meshfree

Organizers:

Prof. Ivo Babuska (University of Texas, Austin, USA)

Prof. Ted Belytschko (Northwestern University, USA)

Prof. Michael Griebel (Universitaet Bonn, Germany)

Prof. Antonio Huerta (Universitat Politecnica de Catalunya, Spain)

Prof. Wing Kam Liu (Northwestern University, USA)

Prof. Harry Yserentant (Technische Universitaet Berlin, Germany)

Important Dates and Deadlines:

May 1, 2007 Early Registration and Abstract submission

August 1, 2007 Confirmation and Program

SEE http://wissrech.ins.uni-bonn.de/meshfree FOR DETAILS

-------------------------------------------------------

From: "PROF. ELIAS A. LIPITAKIS" <eal@aueb.gr>

Date: Mon, 11 Dec 2006 10:31:58 -0500

**Subject: 2nd CFP: Athens-HERCMA 2007 Conference, Sept. 20-22, 2007**

ATTENTION: THIS IS THE CORRECT VERSION

H E R C M A 2007 CONFERENCE

20-22 September 2007, Athens, Greece.

Framework-Objectives: The 8th Hellenic European Research on Computer

Mathematics & its Applications (HERCMA) Conference will be held in the Athens

University of Economics & Business (AUEB) on September 20-22, 2007, in

Athens, Greece. The main theme within the Conference will be Computer

Mathematics and its Applications and special emphasis will be given to

Computational Mathematics, High Performance Computing, Operational Research

and Statistics, Mathematics in Economics and Industry.

Call for Papers: Papers on all aspects of Computer Mathematics and Scientific

Computing are solicited.

Schedule: Updated information about HERCMA 2007 may be retrieved from our web

site at http://www.aueb.gr/conferences/hercma2007/

HERCMA 2007

INVITED SPEAKERS:

E.G. COFFMAN, Columbia University-NY, U.S.A.

H. FOLLMER, Humboldt University, Germany

Sir C.A.R. HOARE, FRS, Oxford University, England

J. KEVREKIDIS, PACM-Princeton University, U.S.A.

P.-J. LIONS, College de France, France

T. SATO, The Earth Simulator Center, Japan

K. SUGIHARA, University of Tokyo, Japan

A. TOLSTYKH, Russian Academy of Sciences &(MIPT), Russia

J.N. TSITSIKLIS, M.I.T., U.S.A.

Important Dates:

Deadline for the submission of the full papers/extended abstracts:

20 February, 2007

Deadline for mini-symposia proposals: 20 February, 2007

Notification of acceptance: 10 April, 2007

Deadline for the submission of the complete papers: 30 May, 2007

Deadline for the early payment: 30 May, 2007

For further information please look at the HERCMA home page at Web site:

http://www.aueb.gr/conferences/hercma2007/

-------------------------------------------------------

From: Alex Pothen <pothen@cs.odu.edu>

Date: Sat, 16 Dec 2006 05:33:02 -0500

**Subject: CSC07 Workshop Dinner in honor of Iain Duff on Feb 17, 2007 **

The SIAM Workshop on Combinatorial Scientific Computing (CSC07), being held in

Costa Mesa, CA from February 17 to February 19, 2007, preceding the SIAM

Conference on Computational Science and Engineering, is now open for

registration. The titles and abstracts of invited and accepted talks are

available from the workshop web page,

http://www.siam.org/meetings/cse07/csc07.php.

Poster presentations will be accepted until January 22, 2007.

A workshop dinner is being organized for Saturday, Feb 17, 2007 at the Hilton

Orange County/Costa Mesa, when we will help one of our invited speakers, Iain

Duff, celebrate his sixtieth birthday! Details about the dinner are available

at the workshop web page, and those interested in participating should contact

the organizers at csc07@cscapes.org, before January 22, 2007.

We have received support from the Department of Energy for partial travel

support of students and early career researchers, and some funds are still

available for such support. Information on applying for support is available

from the workshop web page.

Alex Pothen

for the CSC07 Program Committee

-------------------------------------------------------

From: Erik Burman <Erik.Burman@epfl.ch>

Date: Mon, 18 Dec 2006 09:54:09 -0500

**Subject: VMS2007, Miniworkshop, Stabilized Methods, EPFL, Lausanne, Feb 12-13**

A miniworkshop on variational multiscale methods and stabilized finite element

methods will be held at the Institute of Analysis and Scientific Computing

(IACS), EPFL, Lausanne on the 12th and 13th of February.

Confirmed participants include:

M. Behr, RWTH Aachen

M. Braack, Christian-Albrechts-Universität zu Kiel

R. Codina, Universitat Politècnica de Catalunya, Barcelona

A. Ern, ENPC Paris

J.-L. Guermond, Texas A&M University, College Station

P. Hansbo, Chalmers Tekniska Högskola, Göteborg

T. Hughes, University of Texas, Austin

V. John, Universität des Saarlandes, Saarbrücken

M. Larson, Umeå universitet

G. Lube, Universität Göttingen

G. Sangalli, Università degli Studi di Pavia

L. Tobiska, Otto-von-Guericke Universität Magdeburg

S. Turek, Universität Dortmund

J. van der Vegt, Universiteit Twente, Enschede

Those interested are encouraged to contact Christoph.Winkelmann@epfl.ch

for information or registration. A limited number of places are available.

For further information see also the web-site:

http://iacs.epfl.ch/cmcs/vms2007/

On behalf of the organizing committee,

Erik Burman

-------------------------------------------------------

From: "M.Todorov" <mtod@tu-sofia.bg>

Date: Mon, 11 Dec 2006 11:51:33 +0200

**Subject: Applications of Math in Eng & Econ, AMEE'07, Bulgaria, Jun 8-14, 2007**

Announcing conference AMEE'07, Jun 08-14, 2007

33rd International Conference "Applications of Mathematics in

Engineering and Economics" (AMEE'07) organized by the Faculty of

Applied Mathematics and Informatics, Technical University of Sofia,

Bulgaria

The main goal of the conference is to bring together experts and young

talented scientists from Bulgaria and abroad, to discuss the modern trends,

and to ensure exchange of views in various applications of mathematics in

engineering, physics, economics, biology, etc. It will be subject to the motto

"Nonlinear phenomena - mathematical theory and environmental reality". The

Organizing Committee encourages the taking part of students and postgraduates

in the sessions of the Conference. The keynote speakers are supposed to

organize special sessions. The Organizing Committee stipulates a special

discussion concerning the development and use of software innovations in the

scientific computing and the student training in this area.

TOPICS: Potential Theory and Partial Differential Equations; Mathematical

Analysis and Applications; Differential Equations and Differential Geometry;

Numerical Methods in Mathematical Modeling; Algebraic Methods in Informatics;

Software Innovations in Scientific Computing

PRELIMINARY LIST OF KEYNOTE SPEAKERS P.Caithamer (USA), C.I.Christov (USA),

A.Haghighi (USA), H.Kojouharov (USA), M.Konstantinov (Bulgaria), R.Lazarov

(USA), A.Loskutov (Russia), P.Minev (Canada), A.Schmitt (Germany), P.Velmisov

(Russia)

For more detailed information please visit the conference URL:

http://www.tu-sofia.bg/fpmi/amee or contact: mtod@tu-sofia.bg

-------------------------------------------------------

From: Iain Duff <I.Duff@rl.ac.uk>

Date: Fri, 15 Dec 2006 18:58:04 GMT

**Subject: CERFACS Anniversary Meeting, Oct 11-12, 2007**

Diary date for CERFACS friends

CERFACS will be celebrating its 20th Anniversary on October 11-12. There

will be general CERFACS activities on Thursday 11th and the Parallel

Algorithms Team will have a one-day meeting on Friday 12th. More details

will be available early next year but you should note the dates in your

diary now.

Iain Duff (duff@cerfacs.fr) and Serge Gratton (gratton@cerfacs.fr)

-------------------------------------------------------

From: Padma Raghavan <raghavan@cse.psu.edu>

Date: Mon, 11 Dec 2006 11:24:15 -0500

**Subject: Faculty Position in Scientific Computing at Penn State **

The Pennsylvania State University

Department of Computer Science and Engineering

Faculty Position

Complete Announcement at:

http://www.cse.psu.edu/employment/facultyemp.php

Applications are invited for several tenure-track faculty positions

at all ranks. Outstanding candidates in all areas of computer science

and engineering will be considered. One of the areas of particular

interest is: Scientific Computing with a focus on scalable algorithms

and systems for modeling and simulation. Candidates are also sought

for interdisciplinary joint positions in the areas of bio-inspired

computing and nano-technologies, computational science and engineering,

and bioinformatics.

The Department of Computer Science and Engineering (CSE) has

31 collegial, tenure-track faculty. The undergraduate and Doctoral

programs are ranked in the top 20 by the US News and World Report.

The university is committed to growing the faculty ranks over the

next several years.

Penn State is a major research university and is ranked third in

the nation in industry-sponsored research among universities. US

News and World Report consistently ranks PSU's College of Engineering

undergraduate and graduate programs in the top 15 of the nation.

The university is located in the beautiful college town of State

College in the center of Pennsylvania.

Applicants should hold a Ph.D. in computer science, computer

engineering, or a closely related field and should be committed to

excellence in both research and teaching. Applications should be

received by January 31, 2007 to receive full consideration.

To apply by electronic mail, send your resume (including curriculum

vitae and the names and addresses of at least three references) as

a postscript file or pdf file to recruiting@cse.psu.edu.

For more information about the Department of CSE at Penn State, see

http://www.cse.psu.edu. Click the Faculty link under Employment.

Penn State is committed to affirmative action, equal opportunity

and the diversity of its workforce. Women and minorities are

encouraged to apply.

-------------------------------------------------------

From: Roy Mathias <mathias@for.mat.bham.ac.uk>

Date: Fri, 15 Dec 2006 17:29:49 -0500

**Subject: Lectureship/Senior Lectureship in Comp. Math., U. Birmingham (UK)**

The School of Mathematics at the University of Birmingham will

be appointing a

Lecturer/Senior Lecturer in Computational Mathematics

(salary 32,471-49,116 GBP, approx. $63,400-$95,849)

NOTE Application Deadline: Jan 15 2007

This is part of an on going strategy developing an area of strength in

computational mathematics. Applicants in Numerical Linear Algebra

and Optimisation are particularly sought, but all areas of computational

mathematics and statistics will be considered.

The School of Mathematics was ranked 5th nationally among Mathematics

Departments in the latest Times Higher survey.

Faculty in numerical analysis and optimisation include Roy Mathias,

Michal Kocvara (Jan 2007), Daniel Loghin, Natalia Petrovskya,

Joerg Fliege, Peter Butkovic, Sandor Nemeth. At least one additional

appointment in optimisation will be made.

Inquiries to Roy Mathias (mathias@maths.bham.ac.uk).

Further information about the School of Mathematics can be found at

http://www.mat.bham.ac.uk/

Further information about the position can be found at

http://www.personnel.bham.ac.uk/vacancies/furtherParticulars.htm?refNo=S43088

-------------------------------------------------------

From: Monika Nitsche <nitsche@math.unm.edu>

Date: Thu, 14 Dec 2006 14:30:21 -0500

**Subject: Position in mathematical biology/biostats, University of New Mexico**

Assistant Professor position in Biology or Math/Statistics in a probationary

appointment leading to tenure decision. Joint appointment. PhD in Biology,

Mathematics, Statistics or related discipline required by starting date.

Research interests in mathematical biology, computational biology or

biostatistics. For best consideration, submit complete application materials

by January 16, 2007 to Yvonne Martinez-Ingram, Math/Statistics Search

Committee, UNM Biology Department, MSC03 2020, 1 University New Mexico,

Albuquerque, NM 87131. For complete job and application requirements see:

http://biology.unm.edu/news/jobs.html

The University of New Mexico is an Equal Opportunity/Affirmative Action

employer and educator.

-------------------------------------------------------

From: jichun@unlv.nevada.edu

Date: Tue, 12 Dec 2006 12:06:35 -0800

**Subject: 3 positions in Appl/Comput Math at UNLV**

The Department of Mathematical Sciences at the University of Nevada, Las Vegas,

invites applications for a full-time, 9-month, tenure-track Assistant Professor

in Applied/Computational Mathematics, commencing Fall 2007. Three positions are

available (contingent upon funding).

Details can be found at AMS website

http://www.ams.org/cgi-bin/eims/eims-display.pl?JI=pKK633pArK63

and UNLV website https://hrsearch.unlv.edu/emp_apply_login.asp.

Jichun Li, Associate Professor

Dept. of Mathematical Sciences

Univ. of Nevada, Las Vegas

-------------------------------------------------------

From: Douglas Heggie <d.c.heggie@ed.ac.uk>

Date: Tue, 12 Dec 2006 07:01:23 -0500

**Subject: Lectureship in Applied Mathematics at the University of Edinburgh**

The School of Mathematics invites applications from highly qualified

candidates for a lectureship in Applied Mathematics. Candidates with

a background in computational mathematics and/or experience with

topics in biology/medicine or materials science are particularly

encouraged to apply.

Salary scale £32,471 - £38,772 (Lecturer, Grade 8).

The position is available from 1 August 2007 or at another date by

mutual agreement.

You will hold a Ph.D. in mathematics or a related discipline, and have

an excellent research record. You will have well formulated research

plans enabling you to contribute strongly to a highly-rated

research-led School. You will also be committed to excellence in

teaching at the undergraduate and postgraduate levels.

The School of Mathematics is committed to vigorous expansion in

computational and interdisciplinary applied mathematics, to build on

the recent appointments of Professor Ben Leimkuhler and Dr Assyr

Abdulle, supported by existing staff.

For further information, see http://www.jobs.ed.ac.uk/, entering the

vacancy reference 3006760.

The closing date is 2 February 2007.

-------------------------------------------------------

From: Birsen Yazici <yazici@ecse.rpi.edu>

Date: Mon, 11 Dec 2006 15:02:13 -0500

**Subject: Postdoctoral position at RPI**

Post-doctoral position at RPI

As part of a DoD funded project in breast cancer diagnosis and diffuse

optical tomography. Rensselaer Polytechnic Institute is seeking applications

for a post-doctoral research associate position at the Electrical,

Computer and Systems Engineering Department and Mathematics Department.

Qualifications: Ph.D. Degree in in mathematics, theoretical

physics,electrical and computer engineering, computer science or

related disciplines. Expertise in numerical solutions of PDEs, knowledge in

inverse problems, interest in diffuse optical imaging and medical

applications, good computing/programming and communication skills. Position

is for 1 years (potentially renewable). Start date immediately.Interested

applicants please send your resume and references to Dr. Birsen Yazici at

yazici@ecse.rpi.edu. RPI has a well-recognized leadership role in the area

of inverse problems and it offers exceptional work environment and

competitive salaries.

-------------------------------------------------------

From: Mituhiro Fukuda <mituhiro@is.titech.ac.jp>

Date: Mon, 18 Dec 2006 04:46:05 -0500

**Subject: Post-doctoral opportunity in continuous optimization at Tokyo Tech**

Post-doctoral Opportunity in Continuous Optimization

at Tokyo Institute of Technology (Japan)

We are looking for a promising and highly motivated candidate for a

year post-doctoral position in continuous optimization at Tokyo

Institute of Technology, one of the leading university of science and

technology in Japan. This program is financed by the grant "Front-Runner

Nurturing Program" of Global Edge Institute

The candidates must hold or expected to hold a PhD degree in

Optimization, Applied Mathematics, Numerical Analysis, Computer Science,

or Computational Chemistry by the time of employment.

Also, he/she must have a background in continuous optimization or

computational chemistry. A research experience focused on theoretical or

computational optimization is welcome. However, there will be given

priority for candidates who have some experience or interest in

optimization problems related to Semidefinite Programming as well as its

applications. If possible, the candidate is expected to help the

development or the applications of the software SDPA/SDPARA maintained

by our group. It will be excellent if the candidate has further

knowledge of computational quantum chemistry and/or parallel computing.

Starting Date: April 1st, 2007 or later (negotiable)

Duration: Maximum of ONE year until March 31st, 2008 (no extension)

Salary: Negotiable according to the expected potential of the candidate

Research Environment:

The candidate will have opportunities to cooperate with Mituhiro

Fukuda (Global Edge Institute, Tokyo Institute of Technology), Prof.

Masakazu Kojima (Department of Mathematical and Computing Sciences,

Tokyo Institute of Technology), Maho Nakata (Advanced Center for

Computing and Communication, RIKEN) and others experts in optimization

during this period.

The research will be conducted all in English and no Japanese is

required. The Tokyo Institute of Technology is one of the university

which has a high percentage of graduate students and also foreign

students in Japan. It has a professional atmosphere to promote research

within the campus. Also located in a suburb area within minutes of the

cosmopolitan Tokyo.

Deadline for the application:

January 31st, 2007 or until the position is filled

More details for submission at:

http://www.is.titech.ac.jp/~mituhiro/Post-doc/opportunity.html

-------------------------------------------------------

From: Raimondas Ciegis <Raimondas.Ciegis@fm.vtu.lt>

Date: Wed, 13 Dec 2006 13:42:33 +0200 (EET)

**Subject: Contents, Mathematical Modelling and Analysis vol.11 no.4**

MATHEMATICAL MODELLING AND ANALYSIS

The Baltic Journal on Mathematical Applications, Numerical Analysis and

Differential Equations

ISSN 1392-6292, ISSN 1648-3510 online, Electronical edition:

http://www.vtu.lt/rc/mma/

Raimondas {\v C}iegis (Editor) Volume 11, Number 4, 2006 (p. 357-474)

CONTENTS

G. Alobaidi, M.C. Haslam, R. Mallier.

Vortices on a Sphere. p.357-364

A.R. Ansari, B. Hossain, B. Koren, G.I. Shishkin.

Robust Numerical Methods for Boundary-Layer Equations for a Model Problem

of Flow over a Symmetric Curved Surface. p.365-378

A. Esi.

On Some New Paranormed Sequence Spaces of Fuzzy Numbers Defined by Orlicz

Functions and Statistical Convergence. p.379-388

A.A. Grigor'ev, V.I. Gromak.

The Power Expansions of the Solutions of the First Painlev$\acute{e}$

Hierarchy. p.389-398

Z. Navickas, L. Bikul\v{c}ien\.{e}.

Expressions of Solutions of Ordinary Differential Equations by Standard

Functions. p.399-412

S. Ogorodnikova, F. Sadyrbaev.

Multiple Solutions of Nonlinear Boundary Value Problems with Oscillatory

Solutions. p.413-426

E. Pais, J. Janno.

Inverse Problem to Determine Degenerate Memory Kernels in Heat Flux with

Third Kind Boundary Conditions. p.427-450

V. Starikovi\v{c}ius, R. \v{C}iegis, A. Jaku\v{s}ev.

Analysis of FV Approximations for Solving Problems of Multiphase Flows in

Porous Media. p.451-474

-------------------------------------------------------

From: Liz Martin <liz.Martin@iop.org>

Date: Mon, 11 Dec 2006 10:52:58 +0000

**Subject: Contents, Nonlinearity, volume 20, issue 1, January 2007**

NONLINEARITY

Volume 20, Issue 1, January 2007

All articles are free for 30 days after publication on the web. This issue

is available at: URL: http://stacks.iop.org/0951-7715/20/i=1

C1

Hydrodynamics of bacterial colonies

J Lega and T Passot

(Multimedia files accompany this article)

PAPERS

1

On a zero speed sensitive cellular automaton

X Bressaud and P Tisseur

21

Degenerate dispersive equations arising in the study of magma dynamics

G Simpson, M Spiegelman and M I Weinstein

51

Wavetrain response of an excitable medium to local stochastic forcing

R E Lee DeVille and Eric Vanden-Eijnden

75

Shadowing by non-uniformly hyperbolic periodic points and uniform

hyperbolicity

A Castro, K Oliveira and V Pinheiro

87

Regularity of weak foliations for thermostats

G P Paternain

105

Subshift attractors of cellular automata

E Formenti and P K\r{u}rka

119

Jordan domain and Fatou set concerning diamond-like hierarchical Potts

models

Q Jianyong and G Junyang

133

Subadditive pressure for triangular maps

A Manning and K Simon

151

$L^{q}$ spectra and R\'enyi dimensions of in-homogeneous self-similar

measures

L Olsen and N Snigireva

177

A diffuse-interface approximation for surface diffusion including adatoms

A R\"atz and A Voigt

193

Minimal coupled cell networks

M A D Aguiar and A P S Dias

-------------------------------------------------------

From: Chi-Wang Shu <shu@dam.brown.edu>

Date: Thu, 14 Dec 2006 12:29:09 -0500

**Subject: Contents, Journal of Scientific Computing**

Journal of Scientific Computing

http://www.springeronline.com/journal/10915

Volume 29, Number 3, December 2006

Partitions for Spectral (Finite) Volume Reconstruction in

the Tetrahedron

Qian-Yong Chen, pp.299-319.

An Improvement of a Recent Eulerian Method for Solving PDEs

on General Geometries

John B. Greer, pp.321-352.

A Level Set Framework for Capturing Multi-Valued Solutions

of Nonlinear First-Order Equations

Hailiang Liu, Li-Tien Cheng and Stanley Osher, pp.353-373.

Conservative Finite Difference Formulations, Variable

Coefficients, Energy Estimates and Artificial Dissipation

Jan Nordstrom, pp.375-404.

------------------------------

End of NA Digest

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