[External Email] Subject: NA Digest, V. 20, # 32 NA Digest Sunday, August 23, 2020 Volume 20 : Issue 32 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: SciML Updates: Catalyst, Neural PDEs, Lie Groups, Stochastic Delays CMAI Colloquium, George Mason Univ, Aug 2020 Modelling the Cardiac Function, ONLINE, Aug-Sep 2020 Differential Equations and Numerical Analysis, ONLINE, Oct 2020 Domain Decomposition Methods, ONLINE, Dec 2020 Postdoc Position, Computational Mathematics, BCAM Postdoc Position, MACROPISTAS, BCAM PhD Position, Computational Systems Biology, Univ of Memphis PhD Position, Equilibria for Energy Markets with Transport CONTENTS, Siberian Journal of Numerical Mathematics, 23 (3) 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: Christopher Vincent Rackauckas [log in to unmask] Date: August 17, 2020 Subject: SciML Updates: Catalyst, Neural PDEs, Lie Groups, Stochastic Delays The SciML software ecosystem has had two releases in the last month thanks to overwhelming community support. These releases include: - Catalyst: a new DSL for efficient forward and inverse problems on stochastic chemical reaction networks - Adaptive Post-Leap Tau Leaping methods - Methods for regular stepping on jump diffusions - Automated adjoint methods for stochastic differential equations - High weak order SDE solvers - Continuous normalizing flows - Sparse matrix support in ODE, SDE, and DAE adjoints - NeuralPDE.jl: a physics-informed neural network PDE solver from symbolic descriptions of PDEs and a high-dimensional forward-backward method for parabolic PDEs - Lie group integrators, like Magnus, Runge-Kutta-Munthe-Kaas, and Crouch-Grossman methods - Solvers for stochastic delay differential equations and stochastic differential-algebraic equations - Automated ensemble parallelism and multi-GPU usage with neural and universal differential equations - Gradient-enhanced Kriging surrogates and much more. Thank you to everyone involved in these developments, including many from this community. For the full release notes, please see the following links: https://sciml.ai/news/2020/08/10/StochasticBonanza/ https://sciml.ai/news/2020/08/17/NeuralPDE/ ------------------------------------------------------- From: Harbir Antil [log in to unmask] Date: August 20, 2020 Subject: CMAI Colloquium, George Mason Univ, Aug 2020 It is a pleasure to inform you that we will continue running the CMAI Colloquium Series via Zoom during the Fall Semester. Our first talk for the Fall Semester will be on August 28, 2020, at 10:00am (Eastern Time) by Prof. Enrique Zuazua (FAU Erlangen). If you are interested in joining the mailing list, please register: https://cmai.gmu.edu/index.php/colloquium/1624-2/ This series has been highly successful throughout the summer. You can find the list of previous talks (including videos) and the list of the upcoming talks here: https://cmai.gmu.edu/index.php/events/#colloquium . The talks cover a broad range of topics in Computational and Applied Mathematics, including: Optimization, Control, Data Science, Machine Learning, Inverse Problems, etc. Some of the upcoming speakers are: - Enrique Zuazua (FAU Erlangen) - Rainald Loehner (George Mason University) - Fioralba Cakoni (Rutgers University) - Shawn Walker (Louisiana State University) - Carola-Bibiane Schoenlieb (University of Cambridge) - Drew P. Kouri (Sandia National Laboratories) - Kevin T. Carlberg (Facebook) - Boyan Lazarov (LLNL) - Martin J. Gander (Geneva) - Siddhartha Mishra (ETH Zurich) - Noemi Petra (UC Merced) ------------------------------------------------------- From: Luca Paglieri [log in to unmask] Date: August 19, 2020 Subject: Modelling the Cardiac Function, ONLINE, Aug-Sep 2020 2020 iHEART Online Congress Modelling the Cardiac Function August 31 - September 2, 2020 https://iheart.polimi.it/mcf2020 This congress aims at highlighting the state of the art in the mathematical modelling and numerical simulation of the cardiac function and its clinical applications. Plenary speakers: Olaf Dossel (Karlsruhe Institute of Technology); Francesco Migliavacca (Politecnico di Milano); Rajat Mittal (Johns Hopkins U.); Steven Niederer (King's College, London); Luca Pavarino (U. Pavia); Gernot Plank (U. Graz); Seiryo Sugiura (U. Tokyo); Natalia Trayanova (Johns Hopkins U.); Edward Vigmond (U. Bordeaux); Full program available at https://iheart.polimi.it/mcf2020/MCF2020_Schedule.pdf This is the Fourth Conference of the series MPF - Modelling the Physiological Flows and is organized by MOX - Politecnico di Milano, with the support of the EU ERC-ADG - Advanced Grant iHEART - Project ID: 740132 For more information and registration, visit https://iheart.polimi.it/mcf2020 ------------------------------------------------------- From: Natesan Srinivasan [log in to unmask] Date: August 21, 2020 Subject: Differential Equations and Numerical Analysis, ONLINE, Oct 2020 Department of Mathematics, Indian Institute of Technology Guwahati is organizing an International Conference on Advances in Differential Equations and Numerical Analysis (ADENA 2020) during October 12-14, 2020 in online mode. This international conference focuses on various aspects of differential equations, numerical analysis, applied mathematics, mathematical physics and mathematical modelling & simulation. It aims, in particular, at fostering cooperation between researchers working on the area theoretical and numerical aspects of differential equations and applications to various other fields of science and engineering. Another goal of the ADENA2020 is to strengthen the existing contacts and to establish new ones between scientists from all over the world. The working language of the conference is English. All relevant information and updates can be found at https://www.iitg.ac.in/maths/ext/adena2020/ ------------------------------------------------------- From: Felix Kwok [log in to unmask] Date: August 21, 2020 Subject: Domain Decomposition Methods, ONLINE, Dec 2020 The 26th International Conference on Domain Decomposition Methods (DD26), organized by the Chinese University of Hong Kong (CUHK), will now take place ONLINE from December 7 to 12, 2020. The purpose of the conference is to bring together mathematicians, computational scientists and engineers who work in the main themes of Domain Decomposition, including theoretical, algorithmic and implementation aspects of domain decomposition methods, solvers for multiphysics problems, parallel-in-time methods, multigrid and multilevel methods, fast solvers and preconditioning, and applications of such methods in physics and engineering. We are now re-opening the call for proposals of minisymposia and contributed talks that fit the themes of DD26. Proposals should be in the form of a plain text e-mail to [log in to unmask] For minisymposia, please provide a title, a short description of the subject matter, and a list of speakers for the minisymposium. Minisymposia may span one or more sessions, with each session consisting of four 25-minute talks, with an additional 5 minutes after each talk for questions. For contributed talks, please provide a title an abstract. Deadline for proposal submission: September 20, 2020. Please note that all minisymposia and contributed talks that were approved for last December are automatically accepted. Minisymposium organizers will soon receive an e-mail asking if they want to keep their sessions, and whether there are any changes to the list of speakers. Speakers from accepted contributed talks will also be asked to confirm their participation via e-mail. Thanks to the generous support of the Hong Kong Peihua Education Foundation, we are now accepting applications for financial support, including registration fee, from graduate students, postdocs and junior faculty based in Mainland China. To be considered for funding, please email a cover letter, including a statement about why you want to participate, along with a CV to [log in to unmask] Deadline for submissions: September 30, 2020. For more information about DD26, please see the conference website at https://www.math.cuhk.edu.hk/conference/dd26/?Conference-Home ------------------------------------------------------- From: Irune Diaz Gonzalez [log in to unmask] Date: August 17, 2020 Subject: Postdoc Position, Computational Mathematics, BCAM IC2020_07_POSTDOCTORAL FELLOWSHIP IN COMPUTATIONAL MATHEMATICS Requirements: Promising young researchers. Applicants must have their PhD completed before 31.08.2020. PhD degree in mathematics, computer science, or related area. Skills and track-record: Ability to effectively communicate and present research ideas to researchers with different background. Ability to clearly present and publish research outcomes in spoken (talks) and written (papers) form. Skilled in one of the following programming languages: C, C++, C#, Python. High level of spoken and written English. Good communication and interpersonal skills. Scientific Profile: The researcher will work on an applied research project, that deals with manufacturing of complex curved objects. Possible research topics include, but are not limited to: path planning algorithms for 5-axis computer numerically controlled (CNC) machining and contact-based inspection, free-form surface rationalization, and tool-shape design and optimization. Previous experience in geometric modeling projects is particularly welcome. Extended Deadline: 18th September 2020, 14:00 CET (UTC+1) Apply at: http://www.bcamath.org/en/research/job/ic2020-07-postdoctoral-fellowship-in- computational-mathematics ------------------------------------------------------- From: Irune Diaz Gonzalez [log in to unmask] Date: August 21, 2020 Subject: Postdoc Position, MACROPISTAS, BCAM IC2020_07_Postdoctoral Fellowship in CM - MACROPISTAS Computational Mathematics. The researcher will work on a Spanish Ministry funded research project MACROPISTAS - MAnufacturing of CuRved Objects via Path-desIgn of cuSTom-shAped toolS, that deals with manufacturing of complex curved objects. Possible research topics include, but are not limited to: path planning algorithms for 5-axis computer numerically controlled (CNC) machining and contact-based inspection, free-form surface rationalization, and tool- shape design and optimization. Previous experience in geometric modelling projects is particularly welcome. Requirements: Promising young researchers. Applicants must have their PhD completed before 31.08.2020. PhD degree in mathematics, computer science, mechanical engineering, or related area. Skills and track-record: Ability to effectively communicate and present research ideas to researchers with different background. Ability to clearly present and publish research outcomes in spoken (talks) and written (papers) form. Skilled in one of the following programming languages: C, C++, C#, Python. High level of spoken and written English. Good communication and interpersonal skills. Skilled in manufacturing technologies such as machining. Skilled in CAM software. APPLY AT: http://www.bcamath.org/en/research/job/ic2020-07-postdoctoral-fellowship-in-cm- macropistas DEADLINE: 18TH SEPTEMBER, 2020 ------------------------------------------------------- From: Bernie J. Daigle, Jr. [log in to unmask] Date: August 16, 2020 Subject: PhD Position, Computational Systems Biology, Univ of Memphis Experimental biologists are generating data at an unprecedented rate. Unfortunately, biological insight has not kept pace with this deluge of data. The goal of my lab is to improve the inference of biological meaning from the wealth of experimental data collected from single cells to whole organisms. To do so, we develop sophisticated statistical and computational tools that enable integrated analyses of noisy, heterogeneous datasets. More information on the lab can be found at http://daiglelab.org. Openings are available for students interested in pursuing a Ph.D. in computational systems biology starting Spring 2021. Our research in this area involves developing and applying computational methods for inferring gene regulatory networks (GRNs) from single-cell gene expression data. Current projects include applying deep learning techniques to rapidly and accurately infer GRNs from single-cell RNA-sequencing data. The successful candidate should be highly motivated and have some Python programming experience. Prior research experience in bioinformatics and/or computational biology is desirable. Details about admission and degree requirements can be found at http://www.memphis.edu/biology/graduate (PhD, Biological Sciences). Applicants must apply to both The University of Memphis Graduate School and the corresponding graduate program. To ensure full consideration, applications should be completed by September 15. Accepted students will be considered for a graduate assistantship. If interested, please first email Dr. Daigle ([log in to unmask]) your CV and a concise statement describing your interest in the position, previous research experience, and relevant coursework. ------------------------------------------------------- From: Axel Kroener [log in to unmask] Date: August 20, 2020 Subject: PhD Position, Equilibria for Energy Markets with Transport Job Description: PhD position in the research project 'Equilibria for Energy Markets with Transport' (Cluster of Excellence MATH+); the research will concentrate on modeling, analytic, optimization and numerical aspects of generalized Nash equilibrium problems with partial differential equation constraints. 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. Please send your application (including motivation letter, CV, and two reference letters) and quoting the reference number DR/146/20 to Humboldt-Universitat zu Berlin, Faculty of Mathematics and Natural Sciences, Department of Mathematics, Prof. Dr. Michael Hintermuller (located: Rudower Chaussee 25), Unter den Linden 6, 10099 Berlin, or preferably in electronic form to [log in to unmask] (cc to [log in to unmask]). Deadline 9.9.2020 https://www.personalabteilung.hu-berlin.de/de/stellenausschreibungen/ ------------------------------------------------------- From: Siberian Journal of Numerical Mathematics [log in to unmask] Date: August 17, 2020 Subject: CONTENTS, Siberian Journal of Numerical Mathematics, 23 (3) CONTENTS, Siberian Journal of Numerical Mathematics Volume 23, No.3, 2020 For information to contributors and about subscriptions see http://www.sscc.ru/SibJNM/ Alekseev A.K., Bondarev A.E.,On a posteriori estimation of approximation error norm for ensemble of independent solutions (in Russian) Belyaev V.A., Solving the Poisson equation with singularities by the least squares collocation method (in Russian) Beshtokov M.K., Difference methods for solving nonlocal boundary value problems for fractional-order pseudo-parabolic equations with the Bessel operator (in Russian) Boikov I.V., Ryazantsev V.A., On the question of the simultaneous restoration of the density and the surface equation in the inverse problem of gravimetry for a contact surface (in Russian) Bondarev E.A., Voevodin A.F., Argunova K.K., Rozhin I.I., Equations of state in mathematical models of natural gas production and transportation (in Russian) Kireev I.V., Orthogonal projectors and systems of linear algebraic equations (in Russian) Stognii P.V., Khokhlov N.I., Petrov I.B., The numerical modelling of the elastic waves spread in the geological media with gas cavities with the help of the grid-characteristic method (in Russian) Yakunin M.A., A parametric analysis of stochastic oscillators by a statistical modeling method (in Russian) ------------------------------------------------------- End of Digest **************************