Subject: NA Digest, V. 19, # 45 NA Digest Sunday, November 24, 2019 Volume 19 : Issue 45 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: LAPACK 3.9.0 and ScaLAPACK 2.1 released NEP-PACK: A Julia package for nonlinear eigenvalue problems Node-Level Performance Engineering, Germany, Jan 2020 Paid NSF-Funded Training in Data Science, USA, Jan-May 2020 Copper Mountain Conference on Iterative Methods, USA, Mar 2020 ESSAM MASC School, Czech Republic, May 2020 European Finite Element Fair, France, May 2020 Sparse Days at Cerfacs 2019, France, Jun 2020 Advances in Continuous Optimization, France, July 2020 Faculty Positions, Radboud Univ, Nijmegen, NL Tenure Track Position, Interfaces of Data Science and Computational Science Tenure Track Position, Optimization for ML, Linkoping Univ Multiple Positions, Australian National Univ Open Positions, Dept of Information Technology, Uppsala Univ Research Assistant/Associate Position, UQ, CNR-IMATI/Pavia Postdoc Position, Adaptive solvers for eigenvalue problems, Univ Mainz Postdoc Position, Applied Math, CU Boulder Postdoc Position, Reinforcement Learning, Montreal, Canada Postdoc Positions, Pisa Junior Visiting Positions, CRM Postdoc Positions, Reduced-Precision Weather/Climate Modelling, Oxford Univ Postdoc/Ph.D. Positions, Wavelet frames/Optimization/Time-Frequency Analysis, SZU PhD Position, Computational Mathematics, Old Dominion Univ PhD Positions, Multiscale Modeling and UQ, Univ Mainz, Germany Call for Submission, Journal of Machine Learning for Modeling and Computing Contents, Constructive Approximation, 50 (3) Contents, Journal of Computational Mathematics, 37 (6) Contents, Numerical Algorithms, 82 (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.utk.edu/na-digest/ ------------------------------------------------------- From: LAPACK and ScaLAPACK team [log in to unmask] Date: November 22, 2019 Subject: LAPACK 3.9.0 and ScaLAPACK 2.1 released The LAPACK and ScaLAPACK team would like to thank all the users who contributed to those releases. LAPACK 3.9.0 For details, please see http://www.netlib.org/lapack To download LAPACK 3.9.0 directly from Github: https://github.com/Reference-LAPACK/lapack/archive/v3.9.0.tar.gz For bug, issue report and contributions, just use our Github repository: https://github.com/Reference-LAPACK/lapack ScaLAPACK 2.1 For details please see http://netlib.org/scalapack To download SCALAPACK 2.1 directly from Github: https://github.com/Reference-ScaLAPACK/scalapack/archive/v2.1.tar.gz For bug, issue report and contributions, just use our Github repository: https://github.com/Reference-ScaLAPACK/scalapack ------------------------------------------------------- From: Elias Jarlebring [log in to unmask] Date: November 21, 2019 Subject: NEP-PACK: A Julia package for nonlinear eigenvalue problems We are proud to announce version 1.0 of NEP-PACK - a Julia package for nonlinear eigenvalue problems with eigenvalue nonlinearity. The package is released with an open-source license. The development is carried out openly, using modern software engineering techniques such as unit testing and continuous integration. The package makes full use of the efficiency of Julia, yet maintains usability, and integrates well with other software packages and other programming languages (including matlab and python). The package is designed to be easy to use for application researchers and engineers as well as algorithm developers. Currently, the package contains implementations of many state-of-the-art algorithms including projection methods (nonlinear Arnoldi, two variants of Jacobi-Davidson methods), contour integral methods (Beyn's method and block SS), Krylov methods (nleigs, infinite Arnoldi variants, CORK-pencil data type, infinite Lanczos), Rayleigh functional methods (residual inverse iteration, Rayleigh functional iteration), Newton-type methods (augmented Newton, implicit determinant, Newton-QR, quasi-Newton, Broydens method). Examples of other features: Nonlinear Rayleigh-Ritz projection can be combined with any NEP-solver of the package; Parallelization of contour integral methods without modification of internals of the package; Algorithm independent deflation; Chebyshev interpolation and Chebyshev companion form; Direct access to Berlin-Manchester benchmark collection Documentation & Tutorials: https://nep-pack.github.io/NonlinearEigenproblems.jl/ Development: https://github.com/nep-pack/NonlinearEigenproblems.jl ------------------------------------------------------- From: Axel Klawonn [log in to unmask] Date: November 24, 2019 Subject: Node-Level Performance Engineering, Germany, Jan 2020 Node-Level Performance Engineering Course University of Cologne, Germany, January 20-22, 2020 This course covers performance engineering approaches on the compute node level. Even application developers who are fluent in OpenMP and MPI often lack a good grasp of how much performance could at best be achieved by their code. This is because parallelism takes us only half the way to good performance. Even worse, slow serial code tends to scale very well, hiding the fact that resources are wasted. This course conveys the required knowledge to develop a thorough understanding of the interactions between software and hardware. This process must start at the core, socket, and node level, where the code gets executed that does the actual computational work. We introduce the basic architectural features and bottlenecks of modern processors and compute nodes. Pipelining, SIMD, superscalarity, caches, memory interfaces, ccNUMA, etc., are covered. A cornerstone of node-level performance analysis is the Roofline model, which is introduced in due detail and applied to various examples from computational science. We also show how simple software tools can be used to acquire knowledge about the system, run code in a reproducible way, and validate hypotheses about resource consumption. Finally, once the architectural requirements of a code are understood and correlated with performance measurements, the potential benefit of code changes can often be predicted, replacing hope-for-the-best optimizations by a scientific process. Course Instructors: Prof. Dr. Gerhard Wellein, Dr. Georg Hager Registration starts November 1, 2019 and ends December 15, 2019. Participation is free of charge, but the number of participants is limited. For more information, please visit the workshop website: https://www.cds.uni-koeln.de/index.php?id=14559 ------------------------------------------------------- From: Matthias Gobbert [log in to unmask] Date: November 20, 2019 Subject: Paid NSF-Funded Training in Data Science, USA, Jan-May 2020 CyberTraining at UMBC is an NSF-funded training program in data science using tools from High-Performance Computing (HPC) with application examples from atmospheric science. The training consists of instruction in all three areas of "Big Data + HPC + Atmospheric Sciences", followed by a faculty-guided research project. All work is conducted in multidisciplinary teams with one participant from each of the three disciplines. After sucessful face-to-face training in 2018 and online training in 2019, the next training is in Spring 2020 (01/24/20-05/17/20) and will be conducted again ONLINE WITH PARTICIPANTS FROM AROUND THE NATION. Participants can be graduate students, post-docs, and early-career faculty/researchers from US institutions who want to gain demonstrated experience in multidisciplinary research and have the opportunity for significant career impact. Both instruction and research are mentored by faculty and supported by teaching assistants from each discipline. Each participant who completes the program will be paid a $1,500 stipend. We would appreciate help in identifying suitable candidates, ideally with skills in one of the areas of the training. Please forward this information to anyone. For inquiries, e-mail [log in to unmask] or contact Matthias Gobbert, co-PI for HPC, at [log in to unmask] For all information and to apply by 01/01/20, please visit http://cybertraining.umbc.edu or see the flyer at http://cybertraining.umbc.edu/docs/UMBC_CyberTraining_Spring_2020.pdf This training is funded by the NSF under OAC-1730250 "CyberTraining: DSE: Cross-Training of Researchers in Computing, Applied Mathematics and Atmospheric Sciences using Advanced Cyberinfrastructure Resources" (PI Jianwu Wang) under the solicitation Training-based Workforce Development for Advanced Cyberinfrastructure (CyberTraining). ------------------------------------------------------- From: Michele Benzi [log in to unmask] Date: November 22, 2019 Subject: Copper Mountain Conference on Iterative Methods, USA, Mar 2020 The Sixteenth Copper Mountain Conference on Iterative Methods March 21 - 26, 2020 Copper Mountain, Colorado, USA The Copper Mountain Conference on Iterative Methods, held every other year, is the premiere conference on all aspects of iterative solution methods and their applications. The meeting is organized in cooperation with SIAM. Important Deadlines: Student competition papers: January 10, 2020 [reserved to students who submitted an abstract by December 13, 2019] Author abstracts: January 15, 2020 Early registration: January 17, 2020 Lodging: Please reserve early as rooms are limited (we recommend booking no later than February 20 as any unclaimed rooms will be released after that date) Tutorial: on Saturday, March 21, starting at 1PM there will be a 3-4 hours tutorial led by Van Henson on Iterative Methods for Data Analysis, aimed at graduate-level research assistants in numerical analysis. For additional information, see http://grandmaster.colorado.edu/~copper/2020/ ------------------------------------------------------- From: Miro Rozloznik [log in to unmask] Date: November 18, 2019 Subject: ESSAM MASC School, Czech Republic, May 2020 The ESSAM European School on Mathematical Modelling, Numerical Analysis and Scientific Computing will be held in Kacov, Czech Republic, in May 24 - May 29, 2020. The aim of the school is to promote interconnection of mathematical modeling, analysis, and computational methods used in solving complex (real-world) problems. The lectures are usually prepared with a broad multidisciplinary audience in mind, and at each school a broad scope, ranging from modeling to scientific computing, will be covered. Four main speakers usually deliver a series of three 70 minutes lectu minutes lectures. Ample time within the school is allocated for the promotion of informal scientific discussions among the participants. The speakers of the 2020 school are: - Patrick Farell (University of Oxford, UK) - Chi Wang Shu (Brown University, USA) - Jan Zeman (Czech Technical University, Czech Republic) - Walter Zulehner (Johannes Kepler University of Linz, Austria) The school is organized under the auspices of the European Ma Mathematical Society (EMS) and Faculty of Mathematics and Physics, Charles University in Prague ( (MFF UK), as an activity of the Necas Center for Mathematical Modeling. Participants will have a pos possibility to present a short communication (maximally 10 minutes in the dependence on th the number of participants contributing to this kind of activity). The deadline for registration and s submission of abstracts is April 30, 2020. Registration is now open at http://essam-masc.cuni.cz/ including the ad additional information about the venue, program and deadlines. ------------------------------------------------------- From: Martin Vohralik [log in to unmask] Date: November 19, 2019 Subject: European Finite Element Fair, France, May 2020 We are happy to announce the 18th European Finite Element Fair, May 15 - 16, 2020, Inria Paris. There is no workshop fee. However, registration at [log in to unmask] is compulsory, before April 30, 2020. All the details can be found at https://efef2020.inria.fr/. ------------------------------------------------------- From: Iain Duff [log in to unmask] Date: November 22, 2019 Subject: Sparse Days at Cerfacs 2019, France, Jun 2020 The Annual Sparse Days meeting will be held at CERFACS in Toulouse on 11 and 12 June 2020. As usual, there is no registration fee but interested parties should nevertheless register using the website https://sparsedays.cerfacs.fr/en. The deadline for doing this is 10 May 2020, but it well help our organization greatly if you could do this as soon as possible. When you register, you should indicate whether you want to give a talk and whether you want to attend our traditional conference dinner on the evening of Thursday 11th. The normal length for the talk and questions is 30 minutes but this is open to negotiation in either direction subject to the fact that as usual we will not be having parallel sessions. ------------------------------------------------------- From: Sonia Cafieri [log in to unmask] Date: November 19, 2019 Subject: Advances in Continuous Optimization, France, July 2020 We are pleased to announce the 18th EUROPT Workshop on Advances in Continuous Optimization (EUROPT 2020), to be held in Toulouse, France, on July 1-3, 2020: http://europt2020.recherche.enac.fr/ The EUROPT Workshop on Advances in Continuous Optimization is the annual event of the EUROPT continuous optimization working group of EURO (The Association of European Operational Research Societies). This 18th edition will take place one week after the IFORS 2020 conference and will celebrate 20 years of activity of the working group. The Program Committee is announced on the website: http://europt2020.recherche.enac.fr/ Authors are invited to submit contributions on all aspects of continuous optimization. The scope of the workshop includes (but may not be restricted to) the topics mentioned on the website. Call for Contributions: The online abstract submission system will be opened mid December 2019. Researchers interested in organizing a session (3 or 4 talks) are invited to contact the Program Chair at [log in to unmask] Important Dates - Abstract Submission: March 1, 2020 - Abstract Acceptance: March 15, 2020 - Registration deadline: April 15, 2020 More detailed information about the Workshop will be disseminated via the website http://europt2020.recherche.enac.fr/. ------------------------------------------------------- From: Gabriel Lord [log in to unmask] Date: November 18, 2019 Subject: Faculty Positions, Radboud Univ, Nijmegen, NL Radboud University We seek to make two appointments to broaden and strengthen our expertise in the broad area of Applied Mathematics (including modelling, data analysis, applied analysis and computation). We welcome applications at all levels and expect to make one tenure track appointment and one appointment at any level. We particularly encourage female applicants and applicants from diverse backgrounds to apply. For more details and to apply please see : https://www.ru.nl/english/working-at/vacature/details-vacature/? recid=1072034&pad=%2fenglish&doel=embed&t\ aal=uk The deadline for applications is 12 January 2020. ------------------------------------------------------- From: Per-Gunnar Martinsson [log in to unmask] Date: November 21, 2019 Subject: Tenure Track Position, Interfaces of Data Science and Computational Science The Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin invites applications for a tenure-track faculty position at the interfaces of Data Science and Computational Science. Areas of interest include, but are not limited to, computational statistics, machine learning, graph theory, randomized linear algebra, and tensor methods. Candidates should have a strong connection to challenging applications in science, engineering, and/or medicine. Candidates should be committed to establishing an interdisciplinary research program at the intersection of advanced mathematical, statistical, and computational techniques, high-performance computing, and target applications. The Oden Institute is an interdisciplinary research and education institute working to transform science, engineering, and medicine through computation. Oden Institute research is building the mathematical and statistical foundations for predictive science, data science, and machine learning; developing next-generation computational science on advanced computing platforms; and addressing grand challenges in science, engineering, and medicine through computational modeling, scalable algorithms, and high-performance computing. For details on how to apply, see: https://faculty.utexas.edu/career/53997 Applications received by November 30, 2019, will be assured full consideration. ------------------------------------------------------- From: Oleg Burdakov [log in to unmask] Date: November 24, 2019 Subject: Tenure Track Position, Optimization for ML, Linkoping Univ LINKOPING UNIVERSITY (LiU) hereby advertises a position as Research fellow/Assistant professor in Optimization for Machine Learning at the Division of Optimization of the Department of Mathematics. The application deadline is December 9, 2019. Starting date: by agreement. The major task for this position is fundamental research in the area of mathematical optimization theory and novel techniques for machine learning. Examples of research topics are: sparse optimization, saddle point search, multi-objective learning, and stochastic quasi-Newton methods. Although the expertise should primarily be in optimization, the applicant should ideally also have experience in machine learning. Duties include research, teaching, supervision and some administrative duties. The position is for 5 years, of which 80% is for research and 20% for pedagogical qualification/teaching. The financing of the position, established through WASP (Wallenberg AI, Autonomous Systems and Software Program, https://wasp-sweden.org), includes support for not only the position holder's own salary, but also a research group with two postdocs (2 years each) and one PhD student (4 years). Being a researcher at LiU will allow you to choose living on the countryside while commuting to work in only 15 min. Furthermore, working at LiU, you will own your entire research results and Intellectual Property Rights yourself, enabling own startups and other commercial activities that are even supported by the university. For further details, including how to apply, see: https://web103.reachmee.com/ext/I011/853/job? site=7&lang=UK&validator=d7a66c13be778ef950c393a904293789&re\ f=https%3A%2F%2Fliu.se%2Fen%2Fwork-at- liu&ihelper=https%3A%2F%2Fliu.se%2Fen%2Fwork-at-liu%2Fvacancies&job_id=12518 ------------------------------------------------------- From: Lindon Roberts [log in to unmask] Date: November 22, 2019 Subject: Multiple Positions, Australian National Univ The Mathematical Sciences Institute of the Australian National University is advertising several ongoing & fixed-term positions at a variety of levels, open to all areas of mathematics. The MSI is ranked 1st in Australia/31st globally for mathematics (QS rankings 2019), and has a strong & growing computational mathematics group. The following positions are available (up to 3 positions of each type): - MSI Fellow: 4-year fixed term research fellowships - MSI JISC Fellows: 3-year fixed term positions, including teaching at Shandong University, China - Lecturer/Senior Lecturer: tenured/tenure-track continuing positions All positions are at levels B or C (Assistant or Associate Professor in the US system). Applications are through MathJobs.org, closing 17 December. https://www.mathjobs.org/jobs?joblist-0-15249---40-s-- ------------------------------------------------------- From: Maya Neytcheva [log in to unmask] Date: November 18, 2019 Subject: Open Positions, Dept of Information Technology, Uppsala Univ The Division of Scientific Computing (DSC) within the Department of Information Technology, Uppsala University, Sweden, announces two positions: -- Assistant Professor in Scientific Computing (limited to six years) -- Associate Professor in Scientific Computing with specialization in Data Science (permanent full-time position) The research and education activities at DSC span mathematical modeling, numerical analysis, algorithms, software development, high-performance computing and computational models for data analysis based on observations in many different application areas. The applicants are expected to have expertise and experience in one or more of our core areas and to be engaged in research and teaching, as well as to be open to collaboration at department and faculty level. The details regarding the positions are to be found at https://uu.se/en/about-uu/join-us/details/?positionId=298708 and https://uu.se/en/about-uu/join-us/details/?positionId=298728. For more information about the department, visit http://www.it.uu.se/. ------------------------------------------------------- From: Lorenzo Tamellini [log in to unmask] Date: November 19, 2019 Subject: Research Assistant/Associate Position, UQ, CNR-IMATI/Pavia A call for a research assistant/associate position on Scientific Computing and Uncertainty Quantification for PDE with random data at CNR-IMATI/Pavia is now open. The deadline for the call is December 12, and the activity should begin in the first semester 2020 (if possible, as early as March 2020). Holding a PhD title is not a requirement, therefore the call is open also to students who just got their M.Sc. or close to completing their Ph.D. Previous knowledge of Uncertainty Quantification is welcome but not requested. More information and a link to the official call are available at https://sites.google.com/view/research-position-uq-imati Please forward this announcement to any person who might be interested. ------------------------------------------------------- From: Markus Bachmayr [log in to unmask] Date: November 23, 2019 Subject: Postdoc Position, Adaptive solvers for eigenvalue problems, Univ Mainz Applications are invited for a postdoctoral position in the research group of Markus Bachmayr at Johannes Gutenberg-Universitat Mainz, Germany. The position is available immediately, with an initial contract for one year without teaching obligations and the possibility of an extension. It is funded by the Collaborative Research Centre 1060 of the University of Bonn in the project "Adaptive methods for high-dimensional eigenvalue problems and their computational complexity". The project aims at the development and analysis of adaptive solvers using low-rank tensor decompositions, and at their application to quantum-physical problems. For a summary, see https://sfb1060.iam.uni-bonn.de/project-groups/project-group-c/c09/ Candidates should hold a doctoral degree in mathematics, with a solid background in numerical mathematics. Previous experience in adaptive methods for PDEs or numerical linear algebra is advantageous. Informal inquiries and applications should be sent to Prof. Markus Bachmayr at the following e-mail address: [log in to unmask] Applications (in German or English) should contain CV and publication list, scans of certificates/transcripts, a brief statement of research interests, as well as contact details of two references. Evaluation of applications will begin immediately. Applications will be considered until the position is filled. ------------------------------------------------------- From: Adrianna Gillman [log in to unmask] Date: November 19, 2019 Subject: Postdoc Position, Applied Math, CU Boulder UPDATED POSTING Application deadline: Dec. 1 Start date: Summer 2020 or sooner There is an opening for a postdoctoral researcher with experience in parallel programming and/or numerical partial differential equations in the Applied Mathematics Department at the University of Colorado Boulder. Knowledge of programming for many-core architectures is a plus. A strong mathematics background is required. This project is an industrial collaboration with the ultimate goal of producing and efficient and robust high frequency Helmholtz solver. Successful candidate: - Will have received a PhD within 18 months preceding the date of appointment in Applied/Computational Mathematics, Computational Science and Engineering or a related field. - Should have a good background and record of accomplishment in one or more of the following areas: numerical PDEs, high performance computing, inverse problems or seismic inversion, and highly oscillatory waves. For additional information, please see https://jobs.colorado.edu/jobs/JobDetail/?jobId=20065&emailCampaignId=168. Informal inquiries to [log in to unmask] are welcome. Applications should be submitted through the following link: https://jobs.colorado.edu/jobs/JobDetail/?jobId=20065&emailCampaignId=168 ------------------------------------------------------- From: Michel Denault [log in to unmask] Date: November 18, 2019 Subject: Postdoc Position, Reinforcement Learning, Montreal, Canada A post-doctoral fellowship is offered in the field of reinforcement learning applied to hydropower optimization. The position is fully funded by an IVADO research grant. The fellow will work under the guidance of Pascal te, RioTinto; Michel Denault, HEC Montreal; and Dominique Orban, Polytechnique Montreal. All details on https://talents.ivado.ca/en/poste/postdoctorat-apprentissage-par-renforcement-et- production-hydro-electri\ que-postdoctoral-fellowship-on-reinforcement-learning-for-hydropower/ ------------------------------------------------------- From: Michele Benzi [log in to unmask] Date: November 23, 2019 Subject: Postdoc Positions, Pisa Junior Visiting Positions, CRM CALL FOR APPLICATIONS (deadline: 7th January 2020 AT 11:59 PM Italian time) The Centro di Ricerca Matematica "Ennio De Giorgi" of the Scuola Normale Superiore (Pisa, Italy) invites applications for 5 two-year post-doc research positions named "Junior Visiting Positions" covering the following research areas: Position n. 1: Algebraic Geometry and/or Number Theory Position n. 2: Topology, Differential Geometry and/or Geometric Analysis Position n. 3: Partial Differential Equations and/or Probability Position n. 4: Numerical Analysis and/or Financial Mathematics Position n. 5: Dynamical Systems For additional information (including salary and travel allowance) and application instructions, see http://crm.sns.it/grant/36/ ------------------------------------------------------- From: Tim Palmer [log in to unmask] Date: November 23, 2019 Subject: Postdoc Positions, Reduced-Precision Weather/Climate Modelling, Oxford Univ Please see: https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec?p_id=143955 Tim Palmer Department of Physics University of Oxford ------------------------------------------------------- From: J. Lu [log in to unmask] Date: November 18, 2019 Subject: Postdoc/Ph.D. Positions, Wavelet frames/Optimization/Time-Frequency Analysis, SZU Job Type: Full-Time Duration: 2 years Number of Position for Postdoc: 2 Positions Number of Position for Ph.D.: 2 Positions Closing Date: Open Until Filled Description: We are looking for Ph.D./Postdoctoral Researchers in Wavelet frames, Theory and Appl./Optimization/ Time-Frequency Analysis/Computer Vision, etc. Requirements: ------------------------------------------------------- From: Nail Yamaleev [log in to unmask] Date: November 21, 2019 Subject: PhD Position, Computational Mathematics, Old Dominion Univ Applications are invited for a PhD student position in the Department of Mathematics and Statistics at Old Dominion University (Norfolk, VA, USA). This position will provide a unique opportunity to work on a cutting-edge project in Dr. Yamaleev's group in close collaboration with research scientists of NASA Langley Research Center. Current research in the group focuses on the development of new entropy stable schemes for the Navier-Stokes equations, adjoint-based methods for PDE-constrained opt optimization problems, and grid adaptation methods based on error minimization. We are looking for an enthusiastic and highly motivated PhD can candidate with a M.S. or B.S. degree in Mathematics or a closely related fie field. A solid background in numerical methods, excellent programming ski skills, and good communication skills (written/spoken English) are req required. Interested candidates should apply for a graduate assistantship in c computational and applied mathematics at: https://www.odu.edu/admission/graduate . Further details on how to apply can be found at: http://catalog.odu.edu/graduate/collegeofsciences/mathematicsstatistics/#doctorofphilosop hy-computational\ andappliedmathematics For more information, please contact Dr. Yamaleev at [log in to unmask] ------------------------------------------------------- From: Markus Bachmayr [log in to unmask] Date: November 19, 2019 Subject: PhD Positions, Multiscale Modeling and UQ, Univ Mainz, Germany The Mainz Institute of Multiscale Modeling invites applications for several PhD positions in interdisciplinary projects in mathematics, computer science, geosciences, atmospheric physics, statistical physics, and biology. Many of the projects have a strong component in computational methods for uncertainty quantification. For further details on projects and on the application procedure, see: https://model.uni-mainz.de/phd-program/ The application deadline is November 30, 2019, but later applications may be considered. ------------------------------------------------------- From: Dongbin Xiu [log in to unmask] Date: November 22, 2019 Subject: Call for Submission, Journal of Machine Learning for Modeling and Computing Publication Date: June, 2020 Submission Deadline: January 31, 2020 Decision Expected by: April 30, 2020 Submission site: http://www.j-mlmc.com The Journal of Machine Learning for Modeling and Computing (JMLMC), published by Begell House, is now accepting submissions for June 2020 issue. Aims and Scope: The Journal of Machine Learning for Modeling and Computing (JMLMC) focuses on the study of machine learning methods for modeling and scientific computing. The scope of the journal includes, but is not limited to, research of the following types: (1) the use of machine learning techniques to model real-world problems such as physical systems, social sciences, biology, etc.; (2) the development of novel numerical strategies, in conjunction of machine learning methods, to facilitate practical computation; and (3) the fundamental mathematical and numerical analysis for understanding machine learning methods. JMLMC is operated on deadlines. For each publishing issue there is a submission deadline. Papers submitted before the deadline will be considered for the current issues (otherwise for the next issue). All submitted papers will be receive the official decision prior to the decision deadline, which is set as 3 months after the submission deadline. This is to ensure the fast transition for the fast growing and fast paced community. ------------------------------------------------------- From: Edward B. Saff [log in to unmask] Date: November 19, 2019 Subject: Contents, Constructive Approximation, 50 (3) Constructive Approximation Volume 50, Issue 3, December 2019 Table of Contents Obituary: Stephan Ruscheweyh Condensers with Touching Plates and Constrained Minimum Riesz and Green Energy Problems, P. D. Dragnev, B. Fuglede, D. P. Hardin, E. B. Saff, N. Zorii Learning General Sparse Additive Models from Point Queries in High Dimensions, Hemant Tyagi, Jan Vybiral Convergence and Normal Continuity Analysis of Nonstationary Subdivision Schemes Near Extraordinary Vertices and Faces, Costanza Conti, Marco Donatelli, Lucia Romani, Paola Novara On the Totik-Widom Property for a Quasidisk, V. Andrievskii, F. Nazarov Analysis of Decimation on Finite Frames with Sigma-Delta Quantization, Kung-Ching Lin Sharp Constants of Approximation Theory. II. Invariance Theorems and Certain Multivariate Inequalities of Different Metrics, Michael I. Ganzburg Constructive Approximation An International Journal for Approximations and Expansions Published by Springer http://link.springer.com/journal/365 ------------------------------------------------------- From: Yonghui Yu [log in to unmask] Date: November 21, 2019 Subject: Contents, Journal of Computational Mathematics, 37 (6) Journal of Computational Mathematics, Volume 37 (2019), Issue 6 http://www.global-sci.org/intro/articles_list/jcm/1544.html Contents Preface Weimin Han, Ge Wang and Hongkai Zhao A Unied Algorithmic Framework of Symmetric Gauss-Seidel Decomposition Based Proximal Admms for Convex Composite Programming, Liang Chen, Defeng Sun, Kim-Chuan Toh and Ning Zhang Three-dimensional Gravity-magnetic Cross-gradient Joint Inversion Based on Structural Coupling and A Fast Gradient Method, Yuanping Zhang and Yanfei Wang Proximal-proximal-gradient Method, Ernest K. Ryu and Wotao Yin Regularized Two-stage Stochastic Variational Inequalities for Cournot- Nash Equilibrium under Uncertainty, Jie Jiang, Yun Shi, Xiaozhou Wang and Xiaojun Chen A Robust Interior Point Method for Computing the Analytic Center of An Ill-Conditioned Polytope with Errors, Zhouhong Wang, Yuhong Dai and Fengmin Xu Tackling Industrial-scale Supply Chain Problems by Mixed-integer Programming, Gerald Gamrath, Ambros Gleixner, Thorsten Koch, Matthias Miltenberger, Dimitri Kniasew, Dominik Schlogel, Alexander Martin and Dieter Weninger Block Algorithms with Augmented Rayleigh-Ritz Projections for Large- scale Eigenpair Computation, Haoyang Liu, Zaiwen Wen, Chao Yang and Yin Zhang Stabilized Barzilai-Borwein Method, Oleg Burdakov, Yuhong Dai and Na Huang ------------------------------------------------------- From: Claude Brezinski [log in to unmask] Date: November 23, 2019 Subject: Contents, Numerical Algorithms, 82 (4) Table of Contents Numerical Algorithms, Vol. 82, No. 4 N. Alinia, M. Zarebnia, A numerical algorithm based on a new kind of tension B-spline function for solving Burgers-Huxley equation. Luca Fenzi, Wim Michiels, Polynomial (chaos) approximation of maximum eigenvalue functions. Songnian He, Tao Wu, Yeol Je Cho, Themistocles M. Rassias, Optimal parameter selections for a general Halpern iteration. A. Ortiz-Bernardin, C. Alvarez, N. Hitschfeld-Kahler, A. Russo, R. Silva-Valenzuela, E. Olate-Sanzana, Veamy: an extensible object-oriented C++ library for the virtual element method. Hao Yu, Boying Wu, Dazhi Zhang, The Laguerre-Hermite spectral methods for the time-fractional sub-diffusion equations on unbounded domains. Zhong-Zhi Bai, Cun-Qiang Miao, Computing eigenpairs of Hermitian matrices in perfect Krylov subspaces. Y.S. Li, L.L. Sun, Z.Q. Zhang, T. Wei, Identification of the time-dependent source term in a multi-term time-fractional diffusion equation. J.A. Ezquerro, M.A. Hernandez-Veron, Nonlinear Fredholm integral equations and majorant functions. Sakhi Zaman, Siraj-ul-Islam, On numerical evaluation of integrals involving oscillatory Bessel and Hankel functions. Saman Babaie-Kafaki, Zohre Aminifard, Two-parameter scaled memoryless BFGS methods with a nonmonotone choice for the initial step length. Charles Curry, Brynjulf Owren, Variable step size commutator free Lie group integrators. Yang Cao, An Wang, Two-step modulus-based matrix splitting iteration methods for implicit complementarity problems. Marija Milosevic, Divergence of the backward Euler method for ordinary stochastic differential equations. Xiaobo Yang, Weizhang Huang, Jianxian Qiu, Moving mesh finite difference solution of non-equilibrium radiation diffusion equations. Jure Ravnik, Jan Tibuat, Fast boundary-domain integral method for unsteady convection-diffusion equation with variable diffusivity using the modified Helmholtz fundamental solution. T. Li, Y. Wang, F. Liu, I. Turner, Novel parameter estimation techniques for a multi-term fractional dynamical epidemic model of dengue fever. ------------------------------------------------------- End of Digest **************************