Send mail to: mgnet@cs.yale.edu for the digests or bakeoff
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Current editor: Craig Douglas douglas-craig@cs.yale.edu
the Subject field. My real e-mail address is in the From field.
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WWW Sites: http://www.mgnet.org or
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Editor: Craig Douglas (douglas-craig@cs.yale.edu)
Associate editor: Gundolf Haase (gundolf.haase@uni-graz.at)
Volume 16, Numbers 1-2 (approximately February 28, 2006)
Today's topics:
Important Date (TODAY)
2006 Copper Mountain Virtual Proceedings
Ph.D. Postions in Graz (Kunisch)
Postdoc Postion in Graz (Borzi)
Three Conferences in Austria
SCEE 2006
ETNA, TOC, vol. 20
New book: Solving PDEs in C++
This is a great place to let the world know about your results. It is
highly rated for letting the world know about recent graduates' dissertations
and young reserachers' papers... and it is free and open source.
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Date: Thu, 02 Mar 2006 10:22:21 -0400
From: Craig Douglas
Subject: Important Date (TODAY)
Mar. 2 Copper Mountain hotel reservations
See http://amath.colorado.edu/faculty/copper
E-mail: Copper.conference@colorado.edu
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Date: Thu, 02 Mar 2006 10:22:24 -0400
From: Craig Douglas
Subject: 2006 Copper Mountain Virtual Proceedings
If you are presenting a talk at the 2006 Copper Mountain Iterative Methods
Conference, you are invited to place a paper, slides, or extended abstract
into the Virtual Preproceedings, which will be available online before the
conference.
Please send me a file with your contribution. This will save you the trouble
of being pestered by me in person at the conference. If you have any qustions,
please do not hesitate to ask me.
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Date: Mon, 13 Feb 2006 14:59:53 +0100
From: Karl Kunisch
Subject: Ph.D. Postions in Graz (Kunisch)
Karl-Franzens-University Graz, Austria, offers two PhD positions for 3 years
in Mathematics.
The positions belong to the framework of the new collaboration between the
Karl-Franzens-University Graz and the University of Technology Graz (TU Graz)
on the level of PhD studies in Natural Sciences.
The first of the two PhD positions is in Applied Mathematics. The successful
candidate must have a strong background in differential equations and
numerical analysis. Candidates with knowledge in one of the following fields
are especially welcome: Optimization, optimal control, inverse problems,
mathematical imaging.
The second of the two PhD positions is in Pure Mathematics. The successful
candidate must have a strong background in algebra and number theory.
Candidates with knowledge in one of the following fields are especially
welcome: Algebraic number theory, additive number theory, commutative ring
theory.
For more information on current research activities, see the homepage of the
department, accessible via http://www.kfunigraz.ac.at/imawww.
Applicants should submit their CV and names of possible referees.
Applications should be sent by e-mail to:
karl.kunisch@uni-graz.at
Prof. Karl Kunisch
Institute for Mathematics and Scientific Computing
Karl-Franzens-University Graz
Heinrichstraße 36
A-8010 Graz AUSTRIA
-------------------------------------------------------
Date: Mon, 06 Feb 2006 09:04:50 +0200
From: Alfio Borzi
Subjct: Postdoc Postion in Graz (Borzi)
Post Doctoral Position
Institute for Mathematics and Scientific Computing
University of Graz, Austria
Applications are invited for a 2-year postdoctoral Research Position funded by
the FWF Austrian Science Fund at the Institute for Mathematics and Scientific
Computing of the University of Graz, Austria.
The project started October the 1st and will last three years.
The goal of this project is to theoretically investigate quantum control
applications in semiconductor nanostructures. The expected impact of the
project is in the field of simulation and optimization of quantum control in
quantum systems.
The work will involve (a) development of fast and efficient computer
algorithms suited for quantum optimal control applications of open quantum
systems, and (b) simulation of quantum optimal control problems in
nanostructures.
The work will cover both aspects of numerical mathematics and of theoretical
physics, and will be carried out in a joint interdisciplinary collaboration
between mathematics and physics.
Applicants must hold a PhD, and should be experienced in numerical analysis,
ideally optimal control theory, and possess some background in physics. They
should be competent programmers, and willing to collaborate in this
interdisciplinary project.
Applicants should send (to the addresses given below) a curriculum vitae,
bibliography of published work, a one or two-page statement of research
interests, and a letter of recommendation.
For further details, please contact
Ao. Univ.-Prof. Mag. Dr. Alfio Borzi'
Institute for Mathematics and Scientific Computing
University of Graz, Austria
Heinrichstr. 36,
8010 Graz, Austria
Phone: (+43 316) 380 5166
Fax: (+43 316) 380 9815
e-mail: alfio.borzi@uni-graz.at
www: http://www.kfunigraz.ac.at/imawww/borzi/
-------------------------------------------------------
Date: Wed, 08 Feb 2006 14:08:51 +0100
From: Ulrich Langer
Subject: Three Conferences in Austria
17th International Conference on Domain Decomposition Methods
held at St. Wolfgang / Strobl, Austria, July 3 - 7, 2006.
http://www.ricam.oeaw.ac.at/dd17
Conference IABEM 2006 held at Graz, Austria, July 10 - 12, 2006.
http://www.iabem2006.tugraz.at/
Workshop on Fast Boundary Element Methods in Industrial Applications
held at Hirschegg, Austria, September 29 - October 2, 2005.
http://www.numerik.math.tu-graz.ac.at/tagungen/FastBEM2006.htm
-------------------------------------------------------
Date: Tue, 14 Feb 2006 17:04:13 +0200
From: Gabriela CIUPRINA
Subject: SCEE 2006
The Programme Committee and the Local Organizing Committee are glad to
announce you that the next International Conference on "Scientific Computing
in Electrical Engineering (SCEE 2006)" will be held in Sinaia, Romania, from
17 to 22 of September, 2006.
The aim of this event series is to bring together scientists from universities
and industry with the goal of intensive discussions about modelling and
numerical simulation of electronic circuits and electromagnetic fields.
You can find other details on the conference web page
http://www.scee06.org/
and on the flyer attached.
Submission of abstracts: March 1, 2006 - electronically, already open
-------------------------------------------------------
Date: Fri, 20 Jan 2006 02:15:35 +0200 (IST)
From: yairs@cs.technion.ac.il (Yair Shapira)
Subject: New book: Solving PDEs in C++
Solving PDEs in C++
SIAM, Computational Science and Engineering 1, Jan. 2006
by Yair Shapira
Computer Science dept., Technion, Haifa, Israel
http://www.ec-securehost.com/SIAM/CS01.html
"There are dozens of excellent books on C++ and object-oriented programming, but very few of them put the language
into the perspective of scientific computing. The introductory part of the present book acts as a language introduction,
while the main contents focus on how C++ can be used to implement numerical algorithms. I would say that this is a
long-awaited type of textbook in the scientific computing community."
-- Hans Petter Langtangen, Professor, Simula Research Laboratory and University of Oslo, Norway.
This comprehensive book not only introduces the C and C++ programming languages but also shows how to use them
in the numerical solution of partial differential equations (PDEs). It leads the reader through the entire solution process,
from the original PDE, through the discretization stage, to the numerical solution of the resulting algebraic system. The
well-debugged and tested code segments implement the numerical methods efficiently and transparently. Basic and
advanced numerical methods are introduced and implemented easily and efficiently in a unified object-oriented
approach.
The high level of abstraction available in C++ is particularly useful in the implementation of complex mathematical
objects, such as unstructured mesh, sparse matrix, and multigrid hierarchy, often used in numerical modeling. This
book introduces a unified approach for the implementation of these objects. The code segments and their detailed
explanations clearly show how easy it is to implement advanced algorithms in C++.
"Solving PDEs in C++" contains all the required background in programming, PDEs, and numerical methods; only an
elementary background in linear algebra and calculus is required. Useful exercises and solutions conclude each chapter.
For the more advanced reader, there is also material on stability analysis and weak formulation. The final parts of the
book demonstrate the object-oriented approach in advanced applications.
Audience
The book is written for researchers, engineers, and advanced students who wish to increase their familiarity with
numerical methods and to implement them in modern programming tools.
"Solving PDEs in C++" can be used as a
textbook in courses in C++ with applications, C++ in engineering, numerical analysis, and numerical PDEs at the
advanced undergraduate and graduate levels. Because it is self-contained, the book is also suitable for self-study by
researchers and students in applied and computational science and engineering.
Contents
Part I: Programming. Chapter 1: Introduction to C; Chapter 2: Introduction
to C++; Chapter 3: Data Structures; Part II: The Object-Oriented Approach. Chapter 4: Object-Oriented
Programming; Chapter 5: Algorithms and Their Object-Oriented Implementation; Chapter 6: Object-Oriented Analysis;
Part III: Partial Differential Equations and Their Discretization. Chapter 7: The Convection-Diffusion Equation;
Chapter 8: Stability Analysis; Chapter 9: Nonlinear Equations; Chapter 10: Application in Image Processing; Part
IV: The Finite-Element Discretization Method. Chapter 11: The Weak Formulation; Chapter 12: Linear Finite
Elements; Chapter 13: Unstructured Finite-Element Meshes; Chapter 14: Adaptive Mesh Refinement; Chapter 15: High-
Order Finite Elements; Part V: The Numerical Solution of Large Sparse Linear Systems of Equations. Chapter 16:
Sparse Matrices and Their Implementation; Chapter 17: Iterative Methods for Large Sparse Linear Systems; Chapter
18: Parallelism; Part VI: Applications. Chapter 19: Diffusion Equations; Chapter 20: The Linear Elasticity Equations;
Chapter 21: The Stokes Equations; Chapter 22: Electromagnetic Waves; Appendix; Bibliography; Index.
-------------------------------------------------------
Date: Thu, 29 Dec 2005 21:51:28 -0500
From: Lothar Reichel
Subject: ETNA, TOC, vol. 20
Table of Contents, Electronic Transactions on Numerical Analysis (ETNA),
vol. 20, 2005. ETNA is available at http://etna.mcs.kent.edu and at several
mirror sites.
ETNA is in the extended Science Citation Index and the CompuMath Citation
Index.
D. Janovska' and G. Opfer, Fast Givens transformation for quaternion valued
matrices applied to Hessenberg reductions, pp. 1-26.
H. Schurz, Stability of numerical methods for ordinary stochastic
differential equations along Lyapunov-type and other functions with
variable step sizes, pp. 27-49.
D. Kressner, On the use of larger bulges in the QR algorithm, pp. 50-63.
M. A. Navascues, Fractal trigonometric approximation, pp. 64-74.
N. Li and Y. Saad, Crout versions of ILU factorization with pivoting
for sparse symmetric matrices, pp. 75-85.
I. Boglaev, Uniform convergence of monotone iterative methods for semilinear
singularly perturbed problems of elliptic and parabolic types, pp. 86-103.
K. Atkinson and A. Sommariva, Quadrature over the sphere, pp. 104-118.
K. Jbilou, H. Sadok, and A. Tinzefte, Oblique projection methods for linear
systems with multiple right-hand sides, pp. 119-138.
J. M. Bardsley, A nonnegatively constrained trust region algorithm for the
restoration of images with an unknown blur, pp. 139-153.
S. Mao and S. Chen, Convergence analysis of the rotated Q_1 element on
anisotropic rectangular meshes, pp. 154-163.
X. Tu, A BDDC algorithm for a mixed formulation of flow in porous media,
pp. 164-179.
J. Liesen and P. Tichy, On the worst-case convergence of MR and CG for
symmetric positive definite tridiagonal Toeplitz matrices, pp. 180-197.
P. G. Novario, Recursive computation of certain integrals of elliptic type,
pp. 198-211.
J. V. Lambers, Krylov subspace spectral methods for variable-coefficient
initial-boundary value problems, pp. 212-234.
M. E. Hochstenbach, Generalizations of harmonic and refined Rayleigh-Ritz,
pp. 235-252.
G. Appleby and D. C. Smolarski, A linear acceleration row action method for
projecting onto subspaces, pp. 253-275.
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