Subject: NA Digest, V. 16, # 47 NA Digest Saturday, December 31, 2016 Volume 16 : Issue 47 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: William B. Gragg, 1936-2016 2016 Babuska Prize Awarded LAPACK 3.7.0 released New Book, Finite Element Methods for Incompressible Flow Problems REU on HPC at UMBC, USA, Jun-Aug 2017 Faculty-Equivalent Position, Data Analytics Postdoc Position, Applied Mathematics, SCI Institute, Univ of Utah Postdoc and PhD Positions, Germany PhD Positions, Statistical Applied Mathematics, Univ of Bath, UK PhD and MS Programs in Computational Science Special Issue, High Performance Computing Solutions for Complex Problems Contents, Statistics, Optimization & Information Computing, 4 (1-4) Subscribe, unsubscribe, change address, or for na-digest archives: http://www.netlib.org/na-digest-html/faq.html Submissions for NA Digest: http://icl.cs.utk.edu/na-digest/ ------------------------------------------------------- From: Carlos F. Borges [log in to unmask] Date: December 26, 2016 Subject: William B. Gragg, 1936-2016 It is with deep sadness that I report the passing of my friend and colleague William B. Gragg. Bill was one of the great numerical analysts of our time and made many fundamental contributions in numerical analysis, particularly the areas of numerical linear algebra and numerical methods for ordinary differential equations. He received his PhD at UCLA in 1964 under the direction of Peter Henrici. His dissertation work resulted in the Gragg Extrapolation method[1] for the numerical solution of ordinary differential equations (sometimes also called the Bulirsch-Stoer algorithm). Bill is also well known for his work on the QR algorithm for unitary Hessenberg matrices, on updating the QR factorization,[2] superfast solution of Toeplitz systems,[3] parallel algorithms for solving eigenvalue problems,[4][5] as well as his exposition on the Pade table and its relation to a great number of algorithms in numerical analysis.[6] ------------------------------------------------------- From: Karel Segeth [log in to unmask] Date: December 29, 2016 Subject: 2016 Babuska Prize Awarded In December 2016, the Czech Association for Mechanics and the Union of Czech Mathematicians and Physicists again awarded the I. Babuska Prize for the best work in computational mechanics and computational mathematics submitted by students and young scientists. The Prize winner for 2016 is Dr Adam Kosik from the Faculty of Mathematics and Physics of Charles University in Prague. The work honored is his PhD thesis Fluid-strucuture interaction. Further winners were delivered diplomas of honor. The second position was awarded to Dr Radek Stefan from the Faculty of Civil Engineering of the Czech Technical University in Prague for his PhD thesis Transport processes in concrete at high temperatures. The third and fourth positions belong equally to Dr Vaclav Hapla who presented his PhD thesis Massively parallel quadratic programming solvers with applications in mechanics and to Dr Michal Merta and his thesis Parallel boundary element methods in space and time. Both they are from the Faculty of Electrical Engineering and Computer Science of the VSB-Technical University of Ostrava. A further diploma of honor was delivered to a BS thesis whose author was Jakub Kruzik from the Faculty of Electrical Engineering and Computer Science of the VSB-Technical University of Ostrava. The Prize was established in 1994 by an outstanding Czech mathematician Ivo Babuska, now at the Institute for Computational Engineering and Sciences, University of Texas, Austin, TX. Ivo Babuska celebrated his 90th birthday in March 2016. ------------------------------------------------------- From: Jack Dongarra [log in to unmask] Date: December 24, 2016 Subject: LAPACK 3.7.0 released LAPACK 3.7.0 was released on December 24th 2016. To download LAPACK 3.7.0: lapack-3.7.0.tgz or directly from Github: https://github.com/Reference-LAPACK/lapack/releases/tag/v3.7.0 LAPACK 3.7.0 includes TSQR for Least Square, Communication-avoiding Symmetric-indefinite Factorization with Aasen\371s triangular tridiagonalization, Level 3 BLAS use by Rook Pivoting form of LDL, the reduction to tridiagonal routine using the two stage algorithm. and an improved Complex Jacobi SVD. Since 2011, LAPACK has included LAPACKE, a native C interface for LAPACK developed in collaboration with INTEL, which provides NAN check and automatic workspace allocation. For more details, please see http://www.netlib.org/lapack/lapack-3.7.0.html The LAPACK team would like to thank all the users who contributed to this release. ------------------------------------------------------- From: Volker John [log in to unmask] Date: December 31, 2016 Subject: New Book, Finite Element Methods for Incompressible Flow Problems This book explores finite element methods for incompressible flow problems: Stokes equations, stationary Navier-Stokes equations and time-dependent Navier-Stokes equations. It focuses on numerical analysis, but also discusses the practical use of these methods and includes numerical illustrations. It also provides a comprehensive overview of analytical results for turbulence models. The proofs are presented step by step, allowing readers to more easily understand the analytical techniques. - Uniform presentation of finite element methods for incompressible flow problems - Covers stationary and time-dependent problems - Emphasis on numerical analysis - Overview of analytical results for turbulence models - Step-by-step presentation of proofs for facilitating the understanding Springer Series in Computational Mathematics 51, 812 pages http://www.springer.com/gp/book/9783319457499 ------------------------------------------------------- From: Matthias Gobbert [log in to unmask] Date: December 30, 2016 Subject: REU on HPC at UMBC, USA, Jun-Aug 2017 We are very excited to announce the 2017 edition of our REU Site on High Performance Computing with interdisciplinary application projects of mathematics and statistics. We highly appreciate your forwarding of this announcement to your undergraduate students with an interest in scientific, statistical, or parallel computing! The program is conducted in 8 weeks from June 19 to August 11, 2017. For all information and to apply, please visit http://hpcreu.umbc.edu All activities are conducted in teams, each supported by dedicated graduate assistants and faculty mentors. The instruction includes lectures and hands-on computer labs on C, MPI, Matlab/Octave, R, Linux, and LaTeX, using the state-of-art cluster maya with more than 300 nodes in the UMBC High Performance Computing Facility (hpcf.umbc.edu). The research projects using scientific, statistical, and parallel computing are posed by application researchers from industry and government agencies. The program's webpage offers a detailed schedule and a comprehensive description of the activities from a student viewpoint. For specific questions, please e-mail [log in to unmask] ------------------------------------------------------- From: Rita Varela [log in to unmask] Date: December 22, 2016 Subject: Faculty-Equivalent Position, Data Analytics As part of an expansion of its program focused on advancing new measurement technologies for biopharmaceuticals at the Institute for Bioscience and Biotechnology Research (IBBR), the National Institute for Standards and Technology (NIST) Biomolecular Structure & Function Group seeks a "faculty-equivalent" investigator to establish an applied mathematics research program in the area of computational biology and data analytics. We are particularly interested in candidates with a focus on developing tools in the areas of machine learning, multimodal dataset integration, multivariate statistics, data visualization, and predictive modeling.. The successful candidate will join a group of well-established experimentalists focused on biopharmaceutical protein characterization; providing the candidate an extensive and diverse dataset consisting of structural [nuclear magnetic resonance (NMR), mass spectrometry, x-ray crystallography, capillary electrophoresis, and ultra-performance liquid chromatography] as well as functional methods [in vitro biological assays, ligand binding assays, and flow cytometry]. The successful candidate should have a PhD in Applied Mathematics, Computer Science or related field, at least 2 years relevant post-doctoral research experience and an excellent publication record. He/she will be expected to work within a network of internal and external collaborators, engage stakeholders and display the potential to become a recognized leader in the field. The IBBR is a joint NIST/University of Maryland System research institute focused on basic and applied sciences in the field of biotechnology that provides solutions to major scientific problems important to society. IBBR operates state-of-the-art research facilities and is located in the heart of the biotechnology corridor in Rockville, Maryland. The IBBR-NIST group is also part of the NIST Biochemical Measurement Division and is linked programmatically to the NIST Center for Neutron Research (NCNR). Salary: Commensurate with qualifications. Applications: Applicants should send cover letter, curriculum vitae, research statement, and contact information of three references to: [log in to unmask] Closing Date: Review of candidates will begin January 23, 2017 and continue until the position is filled. ------------------------------------------------------- From: Akil Narayan [log in to unmask] Date: December 21, 2016 Subject: Postdoc Position, Applied Mathematics, SCI Institute, Univ of Utah The Scientific Computing and Imaging (SCI) Institute at the University of Utah invites applications for one post-doctoral researcher for interdisciplinary work spanning applied mathematics and computer science, with particular application to the interface between multiscale engineering (such as material science, electrical circuit reliability, etc.) and uncertainty quantification. The successful candidate will perform research in the development, implementation and application of computational and applied mathematics methods to multiscale algorithms developed at various scales (i.e. continuum, mesoscale, microscale, etc.), and will work closely with SCI Institute researchers and external collaborators to integrate research into SCI Institute software applications and apply this software to compelling problems in science and engineering. This position has three main responsibilities: 1) Development of applied mathematics (kriging and surrogate surface modeling, approximation theory, reduced-order modeling, uncertainty quantification, numerical methods, etc.) techniques for various multiscale systems. 2) Implementation and evaluation of these methodologies within collaborative codes bases. 3) Scientific interaction between the Applied and Computational Mathematics and Uncertainty Quantification Groups of Narayan and Kirby and various engineering areas. Please contact Akil Narayan ([log in to unmask]) for further information, and send all applications to both Profs. Akil Narayan ([log in to unmask]) and Mike Kirby ([log in to unmask]). Start Date: As soon as possible, preferably before February 1, 2017. More application details: https://utah.peopleadmin.com/postings/59945 ------------------------------------------------------- From: Sebastian Sager [log in to unmask] Date: December 21, 2016 Subject: Postdoc and PhD Positions, Germany The newly formed DFG Research Training Group 2297 "Mathematical Complexity Reduction" in Magdeburg, Germany, invites applications for 13 PhD student positions (75% E13, 3 years) and for one postdoctoral position (100% E14, 3+3 years) in diverse areas of mathematics. The positions have no teaching duties and offer a competitive salary as well as a set of specially tailored compact courses. Hiring commences now for starting dates after April 1, 2017, and continues until all positions are filled. Interested candidates are invited to get in contact with the spokesperson [log in to unmask] or with the PIs as early as possible. Female candidates are especially encouraged to apply. For details, visit https://www.mathcore.ovgu.de/ ------------------------------------------------------- From: Melina Freitag [log in to unmask] Date: December 24, 2016 Subject: PhD Positions, Statistical Applied Mathematics, Univ of Bath, UK We are seeking 10 or more exceptionally qualified students for fully-funded PhDs working at the interface between applied mathematics, stochastic modelling, statistics, and computation in the Department of Mathematical Sciences at the University of Bath, starting from September 2017. Please note: opportunities are currently limited to UK and EU applicants. However, in exceptional circumstances, it may be possible to find funding for excellent students from outside of the EU. Successful applicants will hold, or will be expecting, a first or high upper second class honours degree (or equivalent) in mathematics, or in a subject with substantial mathematical content. Expressions of interest should be sent to Jessica Ohren ([log in to unmask]) and should include: - Approximately 250 words on your motivation for applying to SAMBa - A 2-page CV which includes your academic and work experience - Scans of your academic transcript(s) - Information on where you heard about SAMBa Further information is available on our website (http://www.bath.ac.uk/samba) and on YouTube (https://www.youtube.com/watch?v=jwQimRAJx6A&feature=youtu.be). ------------------------------------------------------- From: Bryan Quaife [log in to unmask] Date: December 28, 2016 Subject: PhD and MS Programs in Computational Science The Department of Scientific Computing at Florida State University is accepting applications for M.S. and Ph.D. degrees in Computational Science for Fall 2017. The Department of Scientific Computing offers truly cross-disciplinary graduate degree programs in computational science with specializations in atmospheric science, biochemistry, biological science, geological science, materials science, physics, and more. Assistantships are available for qualified individuals. Minorities and women are especially encouraged to apply. Applicants should hold, by the time of entry into the graduate program, a baccalaureate degree in a natural science, engineering, computer science, mathematics, or statistics. Interested applicants should go to http://www.sc.fsu.edu. Requests for more information and questions about the graduate programs or about the Department of Scientific Computing should be addressed to Dr. Sachin Shanbhag (Graduate Coordinator) at [log in to unmask] or Gordon Erlebacher (Chair) at [log in to unmask] ------------------------------------------------------- From: Pedro Valero-Lara [log in to unmask] Date: December 31, 2016 Subject: Special Issue, High Performance Computing Solutions for Complex Problems Special Issue "High Performance Computing Solutions for Complex Problems" http://www.scpe.org/index.php/scpe/pages/view/Call-issue-2-2017 Journal Scalable Computing: Practise and Experience http://www.scpe.org/index.php/scpe/index Authors are invited to submit manuscripts which present original and unpublished research in all areas related with complex problems solving via parallel and distributed processing, i.e., works focused on emerging solutions to face with big computing challenges on HPC systems are specially welcome. Relevant topics include, but are not limited to: Benchmarking, performance and scalability of algorithms, data structures, tools; Code adapting to take advantages of latest computational features; New strategies to improve performance; Auto-tuning computing systems; New transparent, portable, and hardware diagnostic programming paradigms; Advances in current or upcoming HPC platforms; and Communication, synchronization, load balancing. Submission Deadline: January 7, 2017 ------------------------------------------------------- From: Prof. David G. Yu [log in to unmask] Date: December 26, 2016 Subject: Contents, Statistics, Optimization & Information Computing, 4 (1-4) Contents, Statistics, Optimization & Information Computing, Vol. 4 No. 1-4, 2016 Matrix Factorizations based on induced norms, Vartan Ohanes Choulakian Generalized Second-Order Parametric Optimality Conditions in Semiinfinite Discrete Minmax Fractional Programming and Second- Order Univexity, Ram Verma, G. Zalmai A cubic B-spline Galerkin approach for the numerical simulation of the GEW equation, S. Battal Gazi Karakoc, Halil Zeybek Accurate, Fast and Noiseless Image Binarization, Wassim Al-Khawand, Seifedine Kadry, Riccardo Bozzo, Khaled Smaili A Splitting-based Iterative Method for Sparse Reconstruction, Liquan Kang, Ying Chen, Zefeng Yu, Heng Wu, Zijun Zheng, Shanzhou Niu Filtering Problem for Functionals of Stationary Sequences, Mikhail Moklyachuk, Maksym Luz An improved partial bundle method for linearly constrained minimax problems, Chunming Tang, Huangyue Chen, Jinbao Jian Efficient Experimental Design Strategies in Toxicology and Bioassay, Timothy E. O'Brien Estimation Procedure for Reduced Rank Regression, PLSSVD, Willin Alvarez, Victor John Griffin The Best Model of the Swiss Banknote Data -Validation by the 95% CI of coefficients and t-test of discriminant scores, Shuichi Shinmura Morgenstern type bivariate Lindley Distribution, V S Vaidyanathan, Sharon Varghese, A Memetic Algorithm and its Application to the Arrangement of Exam Timetable, Wenhua Huang, Guisheng Yi, Sulan He Optimality and duality in set-valued optimization using higher-order radial derivatives, Guolin Yu, Xiangyu Kong Second-order optimality and duality in vector optimization over cones, Surjeet Kaur Suneja, Sunila Sharma, Malti Kapoor Two-Step Proximal Gradient Algorithm for Low-Rank Matrix Completion, Qiuyu Wang, Wenjiao Cao, Zhengfen Jin Relaxed resolvent operator for solving a variational inclusion problem, Iqbal Ahmad, Mijanur Rahaman, Rais Ahmad A Comparison of Compressed Sensing and Sparse Recovery Algorithms Applied to Simulation Data, Ya Ju Fan, Chandrika Kamath A Criterion for Testing Hypothesis about Impulse Response Function, Iryna Rozora, Yu. V Kozachenko A statistical model of macromolecules dynamics for Fluorescence Correlation Spectroscopy data analysis, Dmitri Koroliouk, Vladimir Semenovich Koroliuk, Eleonora Nicolai, Paolo Bisegna, Lorenzo Stella, Nicola Rosato Learning Unknown Structure in CRFs via Adaptive Gradient Projection Method, Wei Xue, Wensheng Zhang On Size Biased Kumaraswamy Distribution, Dreamlee Sharma, Tapan Kumar Chakrabarty Nonmonotone Spectral Gradient Method for l_1-regularized Least Squares, Wanyou Cheng, Qingjie Hu Robust C-optimal Design For Estimating Multiple EDps Under The 4-parameter Logistic Model, Anqing Zhang, Seung Won Hyun Approximations of the solutions of a stochastic differential equation using Dirichlet process mixtures and Gaussian mixtures, Saba Infante, Cesar Luna, Luis Sanchez, Aracelis Hernandez Filtering Problem for Stationary Sequences with Missing Observations, Mikhail Moklyachuk, Maria Sidei Mixed input and output orientations of Data Envelopment Analysis with Linear Fractional Programming and Least Distance Measures, Qaiser Farooq Dar, Tirupathi Rao Padi, Arif Muhammad Tali Characterization of Generalized Invexity in Multiobjective Fractional Variational Problem, Promila Kumar, Jyoti Dagar, Bharti Sharma http://www.iapress.org/index.php/soic/index ------------------------------------------------------- End of Digest **************************