[External Email] Subject: NA Digest, V. 20, # 45 NA Digest Tuesday, November 24, 2020 Volume 20 : Issue 45 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: H2Pack Software for Kernel Matrices OpenLB release 1.4 available for download Call for papers, PDSEC Workshop, May 2021 Internship Project Developer Position, Univ of Illinois Faculty Positions, Colorado School of Mines Faculty Positions, Univ of Texas Rio Grande Valley Tenure Track Position, Computational Math, UC Boulder Research Assistant Position, Image Processing, WIAS, Germany Research Assistant Position, Optimization, WIAS, Germany Postdoc Position, Cardiovascular modeling, UNC-Chapel Hill Postdoc Position, Computation of Soft Matter Physics, Tufts Univ Postdoc Position, Courant Institute of Mathematical Sciences, NYU Postdoc Position, UQ for Quantum/Molecular Simulations, MIT PhD and Postpoc Position, Scientific Computing, TU Dresden PhD Position, Ccean modeling/internal waves, Univ Hamburg PhD Position, Computational Engineering, RWTH Aachen Univ PhD Position, Numerical Analysis, Hong Kong Baptist Univ PhD Positions, Computational Data Science, USA Industrial and Applied Mathematics, ONLINE, Apr 2021 PhD and MS Positions, Computational Science, FSU Contents, CiCP Special Issue, ML for Scientific Computing Contents, Computational Mathematics, 38 (6) 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: Edmond Chow [log in to unmask] Date: November 22, 2020 Subject: H2Pack Software for Kernel Matrices H2Pack is a library that provides linear-scaling storage and linear-scaling matrix-vector multiplication for dense kernel matrices. This is accomplished by storing the kernel matrices in the H2 hierarchical block low-rank representation. It can be used for Gaussian processes, solving integral equations, Brownian dynamics, and other applications. The main strength of H2Pack is its ability to efficiently construct H2 matrices in linear time for kernel functions used in Gaussian processes (up to 3-D data) by using a new proxy point method. Kernel functions from computational physics, e.g., Coulomb, Stokes, can also be used. H2Pack is optimized for shared-memory multicore architectures, including the use of vectorization for evaluating kernel functions. H2Pack provides C/C++ and Python interfaces. Software released with open-source MIT license: https://github.com/scalable-matrix/H2Pack ------------------------------------------------------- From: Mathias J Krause [log in to unmask] Date: November 19, 2020 Subject: OpenLB release 1.4 available for download The developer team is very happy to announce the release of the next version of OpenLB. The updated open-source Lattice Boltzmann (LB) code is now available for download at the project website www.openlb.net The changes and new features are: 1 Enhanced user experience for interfaces 2 Additional multiphysics models 3 Performance improvements in some workloads 4 New examples 5 Minor improvements and developer notes Compatibility tested on - OSX: macOS 10.13.6: Clang 10 (1000.10.44.4) - Linux: Intel 18, 19, 19.1; GCC 7.5, 8.2.1, 9.3, 10.2; Clang 7 - Windows 10: Debian WSL: GCC 7.5, 8.2.1, 9.3; - Intel MPI 2019 Update 5, OpenMPI 2.1.1 and higher PS: Please consider joining the developer team by contributing your code. Together we can strengthen the LB community by sharing our research in an open and reproducible way! Feel free to contact us here: "Contact-Button" ------------------------------------------------------- From: Suzanne Shontz [log in to unmask] Date: November 20, 2020 Subject: Call for papers, PDSEC Workshop, May 2021 The 22nd IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-21) (http://www.ieee- tcsc.org/2021/pdsec/) will be held on May 21, 2021 in Portland, Oregon in conjunction with IPDPS 2021. Given the pandemic, the conference organizers are planning for different potential scenarios, including a fully virtual conference. Deadline: PDSEC-21 deadline: 22 Jan 2021 (AoE) The technological trends in HPC system evolution indicates an increasing burden placed on application developers due to the management of the unprecedented complexity levels of hardware and its associated performance characteristics. Many existing scientific applications codes are unlikely to perform well on future systems without major modifications or even complete rewrites. In the future, it will be necessary to utilize, in concert, many characteristics such as multiple levels of parallelism, many lightweight cores, complex memory hierarchies, novel I/O technology, power capping, system-wide temporal/spatial performance heterogeneity and reliability concerns. The parallel and distributed computing (PDC) community has developed new programming models, algorithms, libraries and tools to meet these challenges in order to accommodate productive code development and effective system use. However, the scientific application community still needs to identify the benefit through practical evaluations. Thus, the focus of this workshop is on methodologies and experiences used in scientific and engineering applications and algorithms to achieve sustainable code development for better productivity, application performance and reliability. ------------------------------------------------------- From: Richard Laugesen [log in to unmask] Date: November 19, 2020 Subject: Internship Project Developer Position, Univ of Illinois Do you thrive on new challenges and taking responsibility in a collaborative environment? Do you take a strategic approach to your work? The University of Illinois at Urbana-Champaign, Department of Mathematics seeks applicants for the position of Visiting Internship Project Developer with Inmas (https://inmas.us), a new program funded by the NSF, with twin hubs at the University of Illinois and Johns Hopkins University. The Internship Network in the Mathematical Sciences (Inmas) will aid industry, government and non-profit partners in solving strategic challenges by developing internship projects that transform graduate students' career readiness and strengthen the nation's innovation ecosystem. Your role will be to establish a network of companies and government hosts in Illinois and neighboring states, to recognize project opportunities at these organizations where the mathematical sciences can make a positive impact, and to work with Inmas partner universities to match their talented and enthusiastic students with the Inmas-funded internship positions. Location: Champaign-Urbana, Illinois. Crucial skills: a PhD in Mathematics, Applied Mathematics, Statistics, or a closely related field, curiosity about the world, and a willingness to learn. This is a full-time, benefits eligible, visiting academic professional position appointed on a 12-month service basis. Deadline to apply is December 15, 2020. The expected start date is as soon as possible after the closing date. The position will run for up to 2.5 years, and longer if the grant is extended. For complete details visit https://jobs.illinois.edu. ------------------------------------------------------- From: Greg Fasshauer [log in to unmask] Date: November 19, 2020 Subject: Faculty Positions, Colorado School of Mines Colorado School of Mines will be hiring 12 new faculty members for the coming year, in 3 cluster areas: Computational Science and Data Analytics, Advanced Manufacturing & Materials, and Quantum Information & Electronic Materials and Devices. Candidates from many backgrounds will be considered in these areas, and ultimately hired into the best-fit department for them. Mines is especially interested in qualified candidates who can contribute to the diversity and excellence of the academic community. Please send any qualified candidates our way - there is a wide range of potential fit for Applied Mathematicians, Statisticians, Computational Scientists, and Data Scientists! - Computational Science and Data Analytics Faculty Positions - Advanced Manufacturing and Materials Faculty Positions - Quantum Information, Electronic Materials and Devices Faculty Positions Apply here: https://jobs.mines.edu/ ------------------------------------------------------- From: Andras Balogh [log in to unmask] Date: November 17, 2020 Subject: Faculty Positions, Univ of Texas Rio Grande Valley The School of Mathematical and Statistical Sciences at the University of Texas Rio Grande Valley has three tenure-track faculty openings. For more information follow the links below. - Computational Mathematics: https://careers.utrgv.edu/postings/26422 - Statistics/Computational Mathematics: https://careers.utrgv.edu/postings/26423 - Mathematics Education: https://careers.utrgv.edu/postings/26424 ------------------------------------------------------- From: Bengt Fornberg [log in to unmask] Date: November 20, 2020 Subject: Tenure Track Position, Computational Math, UC Boulder The Department of Applied Mathematics at the University of Colorado Boulder (CU Boulder) encourages applications for a tenure track faculty position at the Assistant Professor level to begin August 2021. We are looking for candidates in the area of computational mathematics, with possible areas of emphasis including numerical analysis of differential equations, randomized numerical linear algebra, optimization and inverse problems, scientific computing, and related areas. This position requires a commitment to supporting the diverse student populations in our department and its associated campus educational mission, a dedication to teaching in our undergraduate and graduate programs, and developing and conducting an innovative independent research program. The department firmly believes that the effectiveness and creativity of a group is strengthened by contributions from a broad range of perspectives. As such, we particularly welcome candidates from groups that are historically underrepresented in our field and/or candidates that have demonstrated leadership toward building an equitable and inclusive scholarly environment. The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities For inquiries, please contact our department chair (and search committee chair) Prof. Keith Julien, [log in to unmask] For details and to apply, see https://jobs.colorado.edu/jobs/JobDetail/?jobId=27537. Applications submitted by January 30, 2021 will receive full consideration. ------------------------------------------------------- From: Heike Sill [log in to unmask] Date: November 18, 2020 Subject: Research Assistant Position, Image Processing, WIAS, Germany WIAS invites applications for a Research Assistant Position (m/f/d) (Ref. 20/26) in the Research Group "Stochastic Algorithms and Nonparametric Statistics" (Head: Prof. Dr. Vladimir Spokoiny) starting at January 1st, 2021. The preconditions are a completed scientific university education as well as a doctorate in the field of mathematics. Wanted: We are seeking outstanding scientists in a research field in the field of statistics or machine learning. The research area comprises the following topics among other: - Image processing - statistical inverse problems Very good English skills are still expected. International experience is also advantageous. Technical queries should be directed to Prof. Dr. V. Spokoiny ([log in to unmask]). The position is remunerated according to TVoD and is limited to three years. The work schedule is 39 hours per week, and the salary is according to the German TVoeD scale. Please, see here for more information: https://short.sg/j/8127927 ------------------------------------------------------- From: Heike Sill [log in to unmask] Date: November 24, 2020 Subject: Research Assistant Position, Optimization, WIAS, Germany WIAS invites in the Research Group "Nonsmooth Variational Problems and Operator Equations" (Head: Prof. Dr. M. Hintermuller) applications for a Research Assistant Position (f/m/d) (Ref. 20/27). to be filled at the earliest possible date. The position is associated with the research project "Equilibria for Energy Markets with Transport" within the Berlin Mathematics Research Center MATH+. The purpose of the position is to carry out research in the field of modeling, analytic, optimization and numerical aspects of generalized Nash equilibrium problems with partial differential equation constraints. The position offers the possibility to do a doctorate (PhD). Requirements: A completed university degree in mathematics or a related discipline (preferably with very good results); Knowledge of partial differential equations, continuous optimization and applied functional analysis; Experience in the field of numerical and computer-aided implementation; a high proficiency in spoken and written English. See here for more information: https://short.sg/j/8183817 ------------------------------------------------------- From: Boyce Griffith [log in to unmask] Date: November 20, 2020 Subject: Postdoc Position, Cardiovascular modeling, UNC-Chapel Hill Applications are invited for a postdoctoral research associate in the Cardiovascular Modeling and Simulation group at the University of North Carolina at Chapel Hill, which is affiliated with the Carolina Center for Interdisciplinary Applied Mathematics at UNC-Chapel Hill, and the Computational Medicine Program and the McAllister Heart Institute at UNC School of Medicine. Potential areas of research include (but are not limited to) computational models of: - cardiac fluid dynamics, especially therapies for valvular heart disease such as transcatheter valve replacement/implantation; - cardiac electro-mechanical coupling; and - cardiac electrophysiology, especially atrial fibrillation. Our group also actively develops computational methods and software to enable such applications (e.g., https://ibamr.github.io), and funds may be available to support a position that focuses primarily on method development rather than applications. A Ph.D. in Mathematics, Computer Science, Biomedical Engineering, or a related field is required. Applicants should also have substantial experience with scientific computing using compiled software languages (e.g., C, C++, Fortran). The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, race, national origin, religion, sex, sexual orientation, or status as a protected veteran. Please see MathJobs (https://www.mathjobs.org/jobs/list/16684) for application instructions. For further information, please contact Boyce Griffith ([log in to unmask]). ------------------------------------------------------- From: James Adler [log in to unmask] Date: November 20, 2020 Subject: Postdoc Position, Computation of Soft Matter Physics, Tufts Univ Theory/Computation Postdoctoral Scholar in Soft Matter The Physics and Astronomy Department at Tufts University in Medford, MA seeks a postdoctoral scholar to join a multidisciplinary NSF-funded effort to create high performance numerical methods for studying shape change in Soft Matter. The postdoc will be working with Tim Atherton (Physics) and James Adler (Math) on a project to create an accessible open-source software package, Morpho, able to solve a wide variety of shape optimization, evolution and shapeshifting problems and build a community using the software for their research. Further information about the project is given below, and information on the PI's research groups can be found at https://sites.tufts.edu/softmattertheory/ and https://jadler.math.tufts.edu. The primary role of the postdoc will be to apply the code to new scenarios involving shape change. An important component will be working with other research groups, both theoretical and experimental, to formulate, solve and adopt the program in their own work as well as to identify functionality required to solve new classes of problem. The postdoc will also have considerable opportunity to work independently on problems of their own within this general thematic area. Please submit applications or questions about the position to mailto:[log in to unmask] by January 15th. Applications beyond this date will still be accepted and reviewed on a continuous basis until the position is filled. Please include a cover letter outlining how your previous experience qualifies you for the position, your CV/resume, contact information for two references and a brief research statement. ------------------------------------------------------- From: Benjamin Peherstorfer [log in to unmask] Date: November 23, 2020 Subject: Postdoc Position, Courant Institute of Mathematical Sciences, NYU There is an open PostDoc position at Courant Institute of Mathematical Sciences, New York University, in Benjamin Peherstorfer's group. The topic of the position is scientific machine learning, i.e., the intersection of machine learning and scientific computing. Topics of particular interest include deep networks for PDE problems, data-driven reduced-order modeling, and Monte Carlo and randomized methods. Applications of interest are (Bayesian) inverse problems, control, and uncertainty quantification (especially methods for studying rare events). More details at https://cims.nyu.edu/~pehersto/ Candidates should have a PhD degree and have experience with applied and computational mathematics, with a solid background in machine learning and/or scientific computing. Candidates should have an interest in science and engineering applications. The position has no teaching requirement and is available with a flexible start date. The initial appointment will be for one year, with the possibility of yearly extensions depending on performance and funding. Applications submitted by Dec 18, 2020 will receive full consideration but the search will remain open until the position is filled. Please contact [log in to unmask] for more details. Documents to submit: Up-to-date CV with publication list, cover letter explaining interests and goals, and 2 reference letters. More details and formal application via Interfolio at https://apply.interfolio.com/81354 ------------------------------------------------------- From: Youssef Marzouk [log in to unmask] Date: November 22, 2020 Subject: Postdoc Position, UQ for Quantum/Molecular Simulations, MIT MIT's PSAAP simulation center (CESMIX: Center for Exascale Simulation of Materials in Extreme Environments, http://cesmix.mit.edu) seeks a postdoctoral scholar to advance uncertainty quantification (UQ) methodologies for multiscale quantum and molecular simulation of complex materials. The postdoctoral scholar will be directly supervised by Youssef Marzouk (http://uqgroup.mit.edu), but will work closely with an interdisciplinary team of faculty and researchers with expertise in quantum chemistry, molecular dynamics, scientific computing, and multiple aspects of computer science. Successful applicants will hold a PhD in computational science and engineering, applied mathematics, statistics, or a closely related field. Applicants should have a record of research contributions to uncertainty quantification methodology or related topics. Topics of particular interest include Bayesian modeling and computation, multi-fidelity modeling, approximate inference, optimal experimental design, and model validation. Prior experience with density functional theory and atomistic-level simulation is helpful, but not required. Indeed, we are most interested in candidates with strong backgrounds in mathematics and statistics, a thoughtful perspective on modeling, and an appetite for truly multi-disciplinary work. Experience contributing to open-source software for statistics, scientific computing, and scientific machine learning is also extremely desirable. Successful candidates will also have excellent demonstrated written and oral communication skills, and the ability to guide and mentor graduate students. To apply, please send a brief cover letter describing your interests, a CV, and contact information for three references to . Applications received by 11 December 2020 will be given priority. ------------------------------------------------------- From: Axel Voigt [log in to unmask] Date: November 23, 2020 Subject: PhD and Postpoc Position, Scientific Computing, TU Dresden At the Faculty of Mathematics two positions are available at the earliest possible date as a Research Associate (doctoral student or postdoc) (Salary group E 13 collective labour agreement [TV-L] - when the personal prerequisites are fulfilled) 75% or 100% of the regular weekly working time for a period of three years. The positions are part of the DFG research group 3013, which deals with the modelling, numerics and simulation of vector- and tensor-valued partial differential equations on surfaces. It connects worldwide leading research groups in the fields of analysis, numerics as well as modelling and simulation of continuum mechanical processes (http://for3013.webspace.tu-dresden.de). We look for candidates working on modeling and numerical aspects of surface Navier- Stokes equations. The effects topology and curvature on flow properties are of interest. The second project considers active polar and nematodynamic models on surfaces, which are used to model the cellular cortex and epithelia tissue. The following task complexes exist within these two projects: Phase field formulation of problems to consider topological changes (cell division), data analysis and quantitative comparison with experiments, construction and investigation of finite element methods for coupled systems of surface evolution and surface fluids and implementation and integration of the developed methods into existing software environments AMDiS/DUNE. Requirements: scientific university degree in mathematics or a related field of study. Good knowledge in the numerics of partial differential equations and basic knowledge in differential geometry, and sound knowledge of liquid crystal theory and phase field modeling, in the theory of finite element methods, experience in programming in C++. Applications with or without a PhD are expressly welcome. There will be the opportunity to gain further academic qualifications. Please send your application with the usual documents (in particular a letter of recommendation) preferably via the SecureMail Portal of TU Dresden https://securemail.tu-dresden.de as a PDF document to [log in to unmask] or by mail to TU Dresden, Faculty of Mathematics, Institute of Scientific Computing, Helmholtzstr. 10, 01069 Dresden. The application deadline is 20th December 2020 (postmark of the ZPS of TU Dresden applies). Your application documents will not be returned, therefore please submit only copies. ------------------------------------------------------- From: Friederike Pollmann [log in to unmask] Date: November 24, 2020 Subject: PhD Position, Ccean modeling/internal waves, Univ Hamburg Universitat Hamburg invites applications for a PhD position in theoretical oceanography. We are looking for a candidate with strong analytical and programming skills, who is interested in applying them to geoscience problems. The position will tackle internal gravity wave energetics with a focus on theory and numerical modeling and the overall goal of improving energy consistency in numerical ocean models. The project is part of the collaborative research center "TRR 181: Energy transfers in atmosphere and ocean". Application deadline is December 13th. For details, please see https://www.uni-hamburg.de/uhh/stellenangebote/wissenschaftliches-personal/fakultaet- mathematik-informatik-und-naturwissenschaften/13-12-20-431-en.pdf and for details about the project https://www.trr-energytransfers.de ------------------------------------------------------- From: Marek Behr [log in to unmask] Date: November 23, 2020 Subject: PhD Position, Computational Engineering, RWTH Aachen Univ The Chair for Computational Analysis of Technical Systems (CATS) [1] at RWTH Aachen University (Germany) has an immediate opening for a fully funded Ph.D. position at the intersection of engineering, applied mathematics, and computer science, to work on novel stabilized finite- element methods for microstructured and complex fluids. This position is part of a Collaborative Research Center SFB 1120 "Precision Melt Engineering". The appointment at the payscale TV-L 13 (about 4000 euro per month gross at the entry level [2]) will be initially for one year, and will be extended for two extra years upon positive evaluation. Applications from excellent candidates are invited. To apply, email the following documents to Prof. Marek Behr ([log in to unmask]): statement of purpose; detailed CV; transcripts from your Bachelor and MS degrees; contact info of at least two references; pointers to your previous publications and projects (if any). The review of applications is ongoing and will continue until the position is filled. [1]: http://www/cats/rwth-aachen.de [2]: http://www.cats.rwth-aachen.de/cms/CATS/Der- Lehrstuhl/Stellenangebote/~qspt/Stelleninfos/lidx/1/ Requirement for this position is a master's degree in CES, engineering, applied mathematics, computer science, physics, or a similar subject, with a superior academic record. Practical programming experience in C or Fortran as well as with parallelization are of advantage. Familiarity with UNIX operating system would be ideal. Excellent written and spoken English language skills are required. ------------------------------------------------------- From: Sean Hon [log in to unmask] Date: November 20, 2020 Subject: PhD Position, Numerical Analysis, Hong Kong Baptist Univ The Scientific Computing Group at Department of Mathematics invites applications for a PhD position on numerical linear algebra. The project focuses on developing fast iterative solvers for time-dependent PDE problems. In particular, it aims at constructing effective preconditioners for the Toepliz-like linear systems arising from solving a wide range of PDEs, including wave equations, heat equations, fractional diffusion equations, etc. Applicants are expected to have solid knowledge in preconditioned Krylov subspace methods and strong programming skills in MATLAB/C++. Applicants are also encouraged to apply for a Hong Kong PhD Fellowship, which offers substantial financial support to the awardees. For details, read https://gs.hkbu.edu.hk/f/page/281/HKPF%20leaflet%2020212022.pdf The application deadline for both the PhD programme and the Fellowship is December 1, 2020. For informal enquiries, please contact Sean Hon at [log in to unmask] For application details, please visit http://www.math.hkbu.edu.hk/RPg/ For more information about our research group, visit http://www.math.hkbu.edu.hk/Research/research_SCgroups.html ------------------------------------------------------- From: Jose E Castillo [log in to unmask] Date: November 17, 2020 Subject: PhD Positions, Computational Data Science, USA The Interdisciplinary Ph.D. Program in Computational Science is aimed at training scientists and engineers who will create advanced computational methods and tools to model and solve challenging problems at the intersections of scientific disciplines. The doctoral program offers coursework and research in a broad range of subjects that develop expertise in Mathematical Modeling and Scientific Computing with applications to Biological Science, Earth Science, Engineering Science, Health, Physical and/or Chemical Science. UCI and SDSU campuses are recognized as Hispanic Serving Institutions offering a welcoming and supportive environment for diverse students. Admitted graduate students are offered a range of financial assistance options while they are pursuing advanced degrees, including Teaching, Graduate, and Research Assistantships and Fellowships. Applicants with strong backgrounds in mathematics, physical, biological and geological sciences, computer science, and engineering are invited to apply. Please check our website for details regarding the doctoral program and the application process. Website: http://www.csrc.sdsu.edu/csrc/doctoral.html ------------------------------------------------------- From: Matthias Ehrhardt [log in to unmask] Date: November 20, 2020 Subject: Industrial and Applied Mathematics, ONLINE, Apr 2021 ECMI 2021 conference The ECMI 2021 Conference on Industrial and Applied Mathematics will be held as an online conference hosted by the Bergische Universitat Wuppertal from April 13th to April 15th 2021. The traditional elements of a biennial ECMI conference such as plenary lectures, an Anile prize lecture, a Wacker prize lecture, lectures within minisymposia as well as contributed talks will be made available as synchronous online events. Unfortunately, because of the ongoing Corona pandemic, we were not be able to have a normal face-to-face ECMI2020 at the University of Limerick. Instead we are organizing a virtual ECMI2021 conference in the period April 13-15, 2021, that will be as close as possible to the traditional events. A registration form will be made available soon on the conference website where you can also submit a minisymposium proposal, a minisymposium talk or a contributed talk. As usual we will publish a conference proceedings Progress in Industrial Mathematics at ECMI 2021, at Springer, see 'Submission' for further details. Please follow the updates of this conference website https://ecmi2021.uni-wuppertal.de/ ------------------------------------------------------- From: Bryan Quaife [log in to unmask] Date: November 20, 2020 Subject: PhD and MS Positions, Computational Science, FSU The Interdisciplinary Ph.D. Program in Computational Science develops students into scientists and engineers who will create advanced computational methods and tools to model and solve challenging problems at the intersections of scientific disciplines. The doctoral program offers coursework and research in a broad range of subjects that develop expertise in Mathematical Modeling and Scientific Computing with applications to Biological Science, Earth Science, Engineering Science, Fire Dynamics, Health, Physical and/or Chemical Science, and Robotics. A brand new Interdisciplinary Masters Degree program in Data Science, starting in Fall 2021, will offer students training in mathematics, statistics, and machine learning. Florida State University has been recognized as the top diversity campus for the third consecutive year and is a tier-one Research University. Admitted graduate students are offered a range of financial assistance options including Teaching, and Research Assistantships. To be considered for funding, the deadline for application for the Fall 2021 cohort is January 15, 2021, although one can apply until the end of June 2021. Self-funded applicants interested in our 12 to 18 months Masters program in either Computational Science or Data Science will be considered throughout the Spring Semester. Email: [log in to unmask] Application: https://www.sc.fsu.edu/graduate/application ------------------------------------------------------- From: Wei Cai [log in to unmask] Date: November 18, 2020 Subject: Contents, CiCP Special Issue, ML for Scientific Computing A special issue on Machine Learning for Scientific Computing is now published online and CiCP (Communications in Computational Physics) is making it available to the general scientific community at https://www.global-sci.org/intro/articles_list.html?journal=cicp&volume_id=2044 1. Machine Learning and Computational Mathematics, Weinan E 2. Dying ReLU and Initialization: Theory and Numerical Examples, Lu Lu, Yeonjong Shin, Yanhui Su & George Em Karniadakis 3. Finite Neuron Method and Convergence Analysis, Jinchao Xu 4. Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks, Zhi-Qin John Xu, Yaoyu Zhang, Tao Luo, Yanyang Xiao & Zheng Ma 5. Deep Network Approximation Characterized by Number of Neurons, Zuowei Shen, Haizhao Yang & Shijun Zhang 6. Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression, Yixiang Deng, Guang Lin & Xiu Yang 7. Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks, Yingzhou Li, Xiuyuan Cheng & Jianfeng Lu 8. A Multi-Scale DNN Algorithm for Nonlinear Elliptic Equations with Multiple Scales, Xi-An Li, Zhi-Qin John Xu & Lei Zhang 9. Random Batch Algorit,hms for Quantum Monte Carlo Simulations Shi Jin & Xiantao Li 10. High-Dimensional Nonlinear Multi-Fidelity Model with Gradient-Free Active Subspace Method, Bangde Liu & Guang Lin 11. Multi-Scale Deep Neural Network (MscaleDNN) for Solving Poisson- Boltzmann Equation in Complex Domains, Ziqi Liu, Wei Cai & Zhi-Qin John Xu 12. Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations, Ameya D. Jagtap & George Em Karniadakis 13. On the Convergence of Physics Informed Neural Networks for Linear Second-Order Elliptic and Parabolic Type PDEs, Yeonjong Shin, Jerome Darbon & George Em Karniadakis 14. Convolution Neural Network Shock Detector for Numerical Solution of Conservation Laws, Zheng Sun, Shuyi Wang, Lo-Bin Chang, Yulong Xing & Dongbin Xiu 15. Numerical Simulations for Full History Recursive Multilevel Picard Approximations for Systems of High-Dimensional Partial Differential Equations, Sebastian Becker, Ramon Braunwarth, Martin Hutzenthaler, Arnulf Jentzen & Philippe von Wurstemberger 16. Multi-Scale Deep Neural Network (MscaleDNN) Methods for Oscillatory Stokes Flows in Complex Domains, Bo Wang, Wenzhong Zhang & Wei Cai 17. Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning, Yufei Wang, Ziju Shen, Zichao Long & Bin Dong 18. An Adaptive Surrogate Modeling Based on Deep Neural Networks for Large-Scale Bayesian Inverse Problems, Liang Yan & Tao Zhou ------------------------------------------------------- From: Yonghui Yu [log in to unmask] Date: November 24, 2020 Subject: Contents, Computational Mathematics, 38 (6) Journal of Computational Mathematics, Volume 38 (2020), Issue 6 CONTENTS An Extended Block Restricted Isometry Property for Sparse Recovery with Non-Gaussian Noise, Klara Leffler, Zhiyong Zhou and Jun Yu Discontinuous Galerkin Methods and Their Adaptivity for the Tempered Fractional (Convection) Diffusion Equations, Xudong Wang and Xudong Wang The Plateau-B'ezier Problem with Weak-Area Functional, Yongxia Hao Two-variable Jacobi Polynomials for Solving Some Fractional Partial Differential Equations, Jafar Biazar and Khadijeh Sadri Convergence Rate of the Truncated Euler-Maruyama Method for Neutral Stochastic Differential Delay Equations with Markovian Switching, Wei Zhang Solution of Optimal Transportation Problems Using a Multigrid Linear Programming Approach, Adam M. Oberman and Yuanlong Ruan Convergence of Laplacian Spectra from Random Samples, Wenqi Tao and Zuoqiang Shi ------------------------------------------------------- End of Digest **************************