Send mail to: mgnet@cs.yale.edu for the digests mgnet-requests@cs.yale.edu for comments or help To be removed from the mailing list, just reply to a message and add REMOVE to the Subject field. My real e-mail address is in the From field. Anonymous ftp repository: www.mgnet.org (128.163.209.19) WWW Sites: http://www.mgnet.org or http://casper.cs.yale.edu/mgnet/www/mgnet.html or http://www.cerfacs.fr/~douglas/mgnet.html or http://phase.hpcc.jp/mirrors/mgnet or http://www.tat.physik.uni-tuebingen.de/~mgnet 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. ------------------------------------------------------- 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 ------------------------------------------------------- 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. ------------------------------------------------------- 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. ------------------------------ End of MGNet Digest **************************