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NA Digest, V. 20, # 11

NA Digest Sunday, March 15, 2020 Volume 20 : Issue 11


Today's Editor:

Daniel M. Dunlavy
Sandia National Labs
dmdunla@sandia.gov

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http://icl.utk.edu/na-digest/



From: Pavel Solin solin@unr.edu
Date: March 14, 2020
Subject: Free Self-Paced Online Linear Algebra Course


If you happen to teach Linear Algebra, and if your school is switching

to online instruction, you are very welcome to take advantage of

NCLab's free pioneering selfa-paced Linear Algebra course:



https://docs.google.com/presentation/d/1as1scdJckv2Mbzw1X1VvqEpdeC94ZYR9smNSXP

GyAUE



Contact me directly and I'll help you get started.



The course is extremely easy to use for both the students and the

instructor. Students work at their own pace through tutorials,

autograded exercises and quizzes. They love it. For illustration, here

is a recent testimonial:



Dr Solin, I have a number of things to say about how great an idea

this Linear Algebra course has been regarding the use of NCLab. The

program is great, continues to get better, and I cannot compliment

enough any course that involves students actually working on the

problems rather than just listening. I have really enjoyed it so far,

and based on my test score this is the most successful I have been in

a math course since high school. I would not call other classes I

have had difficult but simply unengaging, and this class has turned

that around. Please extend my compliments to the NCLab devs if you

can, and keep advocating for this type of learning, if at the very

least as an option for people like me who learn well this way.

Regards, Andrew S.





From: Siegfried Rump rump@tuhh.de
Date: March 08, 2020
Subject: INTLAB Version 12 - The Matlab/Octave toolbox for Reliable Computing


Version 12 of INTLAB, the Matlab/Octave toolbox for Reliable

Computing, is now available at http://www.ti3.tuhh.de/intlab .



Given a numerical problem, INTLAB delivers rigorously verified bounds

for the solution together with a proof of existence and possibly

uniqueness. Correctness includes all procedural, possible

discretization and rounding errors as well as I/O. The input data may

be afflicted with tolerances. INTLAB comprises of several separate

toolboxes including ODEs, nonlinear systems, global optimization,

automatic differentiation (gradients, Hessians, Taylor expansion,

slopes), affine arithmetic, multivariate polynomials, rigorous

standard functions, error-free transformations, floating-point

arithmetic in specified precision etc. together with problem solving

routines for linear/nonlinear dense/sparse systems, (generalized)

eigenvalue problems, integration, range of nonlinear functions etc.



Compared to the previous version there are more than half of the

INTLAB files have been adapted, changed, and improved, and there are

more than 250 new out of 1669 m-files.



In particular, the

- Taylor model toolbox is extended (thanks to Florian Buenger) to

- Lie-derivative method as an alternative to Picard iteration

- adjustability of individual maximum degrees of Taylor model

variables

- identity and curvilinear preconditioning

- enhancement and adjustability of blunting for parallelepiped

preconditioning (allows verified integration of the asteroid

example up to 23 years)

- Bernstein polynomials for tighter Taylor model range enclosures

(see reference [TG] below)

- new toolbox GFP for Galois field computations,

- various new verification routines including

. all eigenvalues and singular values

. null space and range of a matrix

. pseudoinverse

. sharp range of a nonlinear function

- the long toolbox is extended to long matrices

- Octave-bug fixed that operator preferences are not respected (thanks

to Kai Torben Ohlhus),

- Very fast computation of Bernstein coefficients based on



[TG] J. Titi, J. Garloff, Matrix methods for the tensorial Bernstein

form, Applied Mathematics and Computation 346, p.254-271, 2019.



From: Tzanio Kolev tzanio@llnl.gov
Date: March 11, 2020
Subject: MFEM Version 4.1


Version 4.1 of MFEM, a lightweight, general, scalable C++ library for

finite element methods, is now available at: http://mfem.org



The goal of MFEM is to enable high-performance scalable finite element

discretization research and application development on a wide variety

of platforms, ranging from laptops to exascale supercomputers.



Some of the new additions in version 4.1 are:

- New BSD license.

- Improved GPU capabilities including support for HIP, libCEED,

Umpire, debugging and faster multi-GPU MPI communications.

- GPU acceleration in many additional examples, finite element and

linear algebra kernels.

- Partial assembly and matrix-free algorithm support for DG, H(curl)

and many other existing and new integrators.

- Support for non-conforming AMR on prisms and tetrahedra.

- Mesh optimization algorithms extended to support r-adaptivity.

- Complex-valued finite element operators and fields.

- ParaView, GSLIB-FindPoints, HiOp and Ginkgo support.

- 18 new examples and miniapps.



The MFEM library has many more features, including:

- 2D and 3D, arbitrary order H1, H(curl), H(div), L2, NURBS elements.

- Parallel version scalable to hundreds of thousands of MPI cores.

- Conforming/nonconforming adaptive mesh refinement (AMR), including

anisotropic refinement, derefenement and parallel load balancing.

- Galerkin, mixed, isogeometric, discontinuous Galerkin, hybridized,

and DPG discretizations.

- Support for triangular, quadrilateral, tetrahedral and hexahedral

elements, including arbitrary order curvilinear meshes.

- Scalable algebraic multigrid, time integrators, and eigensolvers.

- Lightweight interactive OpenGL visualization with the MFEM-based

GLVis tool.



MFEM is being developed in CASC, LLNL and is freely available under a

BSD license. For more details, see the interactive documentation and

the full CHANGELOG.





From: Kris ONeill oneill@siam.org
Date: March 11, 2020
Subject: New Book, Foundations of Applied Mathematics, Volume 2


Subject: New Book, Foundations of Applied Mathematics, Volume 2:


Algorithms, Approximation, Optimization



Geared toward advanced undergraduate and beginning graduate students

in mathematics, data science, or machine learning, this textbook

presents the foundations of algorithms, approximation, and

optimization-essential topics in modern applied and computational

mathematics.



The authors provide a unified treatment of several topics that do not

usually appear together, and when used in concert with the free

supplemental lab materials, this book teaches not only the theory but

also the computational practice of modern mathematical methods. By

Jeffrey Humpherys and Tyler J. Jarvis



2020 / xx + 820 pages / Hardcover / 978-1-611976-05-2 / List $94.00 /

SIAM Member $65.80 / OT166



Book details:

https://my.siam.org/Store/Product/viewproduct/?ProductId=31503574





From: Bernard Beauzamy bernard.beauzamy@scmsa.com
Date: March 09, 2020
Subject: New Book, Simple Random Walks in the Plane


New book: Simple Random Walks in the Plane, by Bernard Beauzamy

ISBN : 979-10-95773-01-6, ISSN : 1767-1175, hard cover, 208 pages.



Please see: http://www.scmsa.eu/livres/SCM_SRW_order.htm



From: Vu Thai Luan luan@math.msstate.edu
Date: March 10, 2020
Subject: Extended Deadline, ICCMAE 2020, USA, May 2020


I would like to let you know the following deadlines extensions for

the conference ICCMAE 2020 https://www.iccmae2020.math.msstate.edu,

May 7-9, MSU:



- Abstract Submission: Extended to March 25, 2020

- Travel Support Submission: Extended to March 20, 2020



Proceedings of this conference will be published in a special issue of

the Journal of Computational and Applied Mathematics (JCAM).



Travel Support: We expect to be able to offer partial travel support

to junior participants (graduate students or recent Ph.D.s) who will

give a talk in a contributed or mini-symposium session. Plus, the

registration fee for graduate students who received the support will

be waived. Please click on

https://www.iccmae2020.math.msstate.edu/registration for more details.





From: Thomas P. Wihler wihler@math.unibe.ch
Date: March 09, 2020
Subject: Swiss Numerics Day 2020, Switzerland, Jun 2020


The Swiss Numerics Day 2020 will be held on:



Thursday, June 4, 2020

University of Bern, Switzerland



Plenary speakers:

- Prof. Paola Antonietti, Politecnico di Milano, Italy

- Prof. Soren Bartels, Albert-Ludwigs-Universitat Freiburg, Germany



The conference webpage with further information (including deadlines

and registration) can found at: https://mathsites.unibe.ch/snd2020/





From: Pamela Bye pam.bye@ima.org.uk
Date: March 13, 2020
Subject: IMA Mathematics of Robotics, UK, Sep 2020


2nd IMA Conference on Mathematics of Robotics

Manchester Metropolitan University, 9-11 September 2020

https://ima.org.uk/11468/ima-conference-on-mathematics-of-robotics/



The IMA Conference on the Mathematics of Robotics aims to bring

together researchers working on all areas of robotics which have a

significant Mathematical content. The idea is to highlight the

Mathematical depth and sophistication of techniques applicable to

Robotics and to foster cooperation between researchers working in

different areas of Robotics. This Conference has been organised in

cooperation with the Society for Industrial and Applied Mathematics

(SIAM). Areas of interest include, but are not limited to:

Topology. Kinematics. Algebraic topology of configuration spaces of

robot mechanisms. Topological aspects of path planning and sensor

networks. Differential topology and singularity theory of robot

mechanism and moduli spaces. Algebraic Geometry. Varieties generated

by linkages and constraints. Geometry of stiffness and inertia

matrices. Rigid-body motions. Computational approaches to algebraic

geometry. Dynamical Systems and Control. Dynamics of robots and

mechanisms. Simulation of multi-body systems, e.g. swarm

robots. Geometric control of robots. Optimal control and other

optimisation problems. Combinatorial and Stochastic Methods. Rigidity

of structures. Path planning algorithms. Modular robots.

Statistics. Stochastic control. Localisation. Navigation with

uncertainty. Statistical learning theory. Cognitive

Robotics. Mathematical aspects of Artificial Intelligence,

Developmental Robotics and other Neuroscience based approaches.



Papers will be accepted on the basis of a 300 word abstract which

should be submitted by 3 April 2020 via https://my.ima.org.uk/.

Authors will be advised of acceptance shortly after and then asked to

submit a compulsory full paper of at most 8 pages by 17 April

2020. All contributions will be peer reviewed and acceptance will be

based on the results of the review process. If you do not wish to

submit an abstract, full papers of at most 8 pages should be submitted

by 17 April 2020. All contributions will be peer reviewed and

acceptance will be based on the results of the review process.



For technical queries please contact Professor W. Holderbaum

(w.holderbaum@reading.ac.uk)



From: Sanmukh Rao Kuppannagari sanmukh@hipc.org
Date: March 11, 2020
Subject: IEEE High Performance Computing, Data, and Analytics, India, Dec 2020


HiPC 2020 CALL FOR PAPERS - 27th IEEE International Conference on High

Performance Computing, Data, and Analytics

16--19 December, 2020 in Pune India



HiPC 2020 will be the 27th edition of the IEEE International

Conference on High Performance Computing, Data, Analytics and Data

Science. HiPC serves as a forum to present current work by researchers

from around the world as well as highlight activities in Asia in the

areas of high performance computing and data science. The meeting

focuses on all aspects of high performance computing systems, and data

science and analytics, and their scientific, engineering, and

commercial applications.



Authors are invited to submit original unpublished research

manuscripts that demonstrate current research in all areas of high

performance computing, and data science and analytics, covering all

traditional areas and emerging topics including from machine learning,

big data analytics and blockchain. Each submission should be

submitted to one of the tracks listed under the two broad themes of

High Performance Computing and Data Science.



Abstract Submissions : June 8, 2020

Paper Submissions : June 15, 2020



Submit your paper: https://easychair.org/conferences/?conf=hipc2020





From: Heike Fassbender h.fassbender@tu-braunschweig.de
Date: March 15, 2020
Subject: CFP, Organize 2023 Householder Symposium, 2023


The Householder Committee seeks a team to organize the 2023

Householder Symposium on Numerical Linear Algebra. The deadline for

submitting a proposal is 1 April 2020.



Guidelines for preparing a proposal and a link for uploding the

proposal can be found at:

https://users.ba.cnr.it//iac/irmanm21/HHXXI/Application_HH_symposium.html



Additional questions can be sent to: Heike Fassbender

(h.fassbender@tu-bs.de) Chair, Householder Committee



Please note: Proposals by professional congress and convention bureaus

will not be considered. No contact information about local members of

our community will be provided.



From: Mingchao Cai Mingchao.Cai@morgan.edu
Date: March 13, 2020
Subject: Postdoc Position, Computational Math, Morgan State Univ


A postdoctoral position in the area of numerical analysis, scientific

computation, and PDE analysis is available in the research group of

Professor Mingchao Cai in the Department of Mathematics at Morgan

State University. The position involves Finite element methods and

numerical analysis for problems arising from fluid mechanics and

structural mechanics. Candidates should have a Ph.D degree in

Computational Mathematics or in Engineering with a background in

Finite Element methods, high-performance computing, fluid mechanics,

and/or structural mechanics. Candidates who have a strong background

in PDE analysis (for example, asymptotic analysis, homogenization,

analysis of fluid mechanical problems) are also very welcome. The

candidate will also be required to teach one math course per semester.

The benefit includes regular salary (very competitive) plus insurance

for your whole family members ($1,000/m charged by Morgan State

University). The regular salary part is negotiable based on the

expertise of the candidates. Postdoctoral appointments are full-time

training programs of advanced academic preparation and research

training under the mentorship of a faculty member.



Basic Qualifications: PhD Degree in Mathematics, Scientific Computing,

Numerical Analysis, PDE analysis, Computational Mechanical Engineering

or a related discipline at the time of application. 1-2 years of

research experience or training related to mathematics and scientific

computation. Preferred Qualifications: Prior experience would be

viewed especially favorably in the areas of large-scale scientific

computation, numerical analysis, CFD and elasticity, and/or mechanical

engineering, but are not strictly required. The individual would like

to interact with the faculty members and the students in the

department



The initial appointment will be for two (2) year appointment, although

the contract is going to be initialized as 1 year. Please send an

email to Dr. Mingchao Cai: Mingchao.Cai@morgan.edu directly then

apply to the HR website by April 20, 2020 for primary

consideration. The position will remain open until filled.



The anticipated start date is Aug. 1/Sept. 1, 2020. Curriculum vitae,

cover letter, statement of research and 2 letters of reference are

required for a completed application.



The Department is especially interested in candidates who can

contribute to the diversity and excellence of the academic community

through research, teaching, and service. Morgan State University is an

Equal Opportunity/Affirmative Action Employer and all qualified

applicants will receive consideration for employment without regard to

race, color, religion, sex, sexual orientation, gender identity,

national origin, disability status, protected veteran status, or any

other characteristic protected by law. This employer is not accepting

applications for this position through Mathjobs.Org. Please send an

email and then apply it on the website of HR at Morgan State

University.





From: Loic Cappanera lmcappan@Central.UH.EDU
Date: March 11, 2020
Subject: Postdoc Position, Computational Mathematics, Univ of Houston


The Department of Mathematics at the University of Houston invites

applications for a research associate (postdoc) position in

computational mathematics. The position is for 2 years and may involve

teaching of up to one course per semester. We are especially

interested in candidates that have a strong track record in Scientific

Computing with experience in one or more of the following fields:

numerical analysis, finite element method, parallel computing, fluid

dynamics, thermodynamics and/or magnetohydrodynamics.



Please follow the link below to see more detail and apply to the

position: https://www.mathjobs.org/jobs/jobs/15344



Review of applications will begin immediately and will continue until

the position is filled.



Inquiries about the position may be directed to Loic Cappanera

(lcappan@math.uh.edu).



From: Bernhard Müller bernhard.muller@ntnu.no
Date: March 10, 2020
Subject: PhD Position, Numerical Modeling of Fluid-Structure Interaction, NTNU


At the Norwegian University of Science and Technology (NTNU), we have

a vacancy for a PhD candidate at the Department of Energy and Process

Engineering.



In the PhD project "Numerical Modeling of Fluid-Structure

Interaction," the PhD candidate will develop, implement and apply

numerical models for simulating fluid-structure interaction (FSI) in

the upper airways of obstructive sleep apnea (OSA) patients to predict

the outcome of surgery to cure OSA.



Details about the position, duties, selection criteria, salary and

conditions, application via https://www.jobbnorge.no/search/en, and

general information are available at the official job advertisement

https://www.jobbnorge.no/en/available-jobs/job/184493/phd-position-in-

numerical-modeling-of-fluid-structure-interaction.



The application deadline is March 30, 2020.



From: Nail Yamaleev nyamalee@odu.edu
Date: March 14, 2020
Subject: PhD Position, Old Dominion Univ


Applications are invited for a PhD student position in the Department

of Mathematics and Statistics at Old Dominion University (Norfolk,

VA). This position will provide a unique opportunity to work on a

cutting-edge project in the group of Prof. N. Yamaleev in close

collaboration with research scientists of NASA Langley Research

Center. Current research in the group focuses on the development of

new entropy stable spectral collocation schemes for the Navier-Stokes

equations, adjoint-based methods for PDE-constrained optimization

problems, and grid adaptation methods based on error minimization. Our

group has a history of producing highly educated, independent,

exceptionally talented PhD scientists and postdocs. More information

about our research can be found at:

https://www.odu.edu/directory/people/n/nyamalee#profiletab=1



A typical PhD study in our group leads to participation in national

and international conferences and meetings, multiple publications in

top journals such as Journal of Computational Physics, Computers &

Fluids, AIAA Journal etc., and ample opportunities for networking with

leading research scientists from NASA, national labs, academia, and

industry.



We are looking for an enthusiastic and highly motivated PhD candidate

with a M.S. or B.S. degree in Mathematics, Computer Science,

Engineering or a closely related field. A solid background in

numerical methods, excellent programming skills (Fortran 90 or C++),

and effective communication skills (written/spoken English) are

required. Interested candidates should apply for a graduate

assistantship in 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/#doctorofphilos

ophy-computationalandappliedmathematics



For more information, please contact Dr. Yamaleev at nyamalee@odu.edu.



From: Kody Law kody.law@manchester.ac.uk
Date: March 11, 2020
Subject: PhD Position, Univ of Manchester


CFD and inverse UQ for investigation of drop/bubble dynamics



Applications are invited for a PhD position in the Department of

Mathematics at University of Manchester funded by EPSRC Industrial

CASE and IBM Research UK. The academic supervisors will be Prof. Kody

Law (kody.law@manchester.ac.uk) and Dr. Alice Thompson

(alice.thompson@manchester.ac.uk), and the industrial supervisor will

be Dr. Carlos Pena-Monferrer (cpena@ibm.com).



The focus of the project is the investigation of specific two-phase

flow problems such as the ones encountered in 3D printing, water

treatment or chemical mixing. A range of forward models are available,

from very detailed direct numerical simulations to various reduced

physics models. The aim of this investigation is to provide

data-driven and data assimilation inference tools for these complex

processes, for example for offline calibration, surrogate modelling,

and real time feedback control.



This PhD studentship offers an opportunity to apply the scientific

method on real-life problems combining CFD physical modelling,

mathematical and statistical modelling, and AI. The successful

candidate will also interact with the latest hardware and software

stacks in HPC and acquire highly desirable transferrable skills in

scientific software quality, reproducible research, and related

productivity tools. The offer also includes a minimum stay of three

months at IBM Research UK within the Hartree Center in Daresbury.



Interested candidates should email all 3 supervisors with CV, cover

letter, transcripts, and contact details for at least 2 referees.





From: Savagya Upadhyay supadhyay@us.fujitsu.com
Date: March 10, 2020
Subject: Internship Position, Quantum algorithms, Fujitsu Labs of America


Fujitsu Laboratories of America (FLA) has an internship opportunity

for a graduate student interested in quantum information

processing. The research will focus on quantum algorithms that are

potentially implementable of noisy intermediate scale quantum (NISQ)

devices. FLA serves as the US based research arm of Fujitsu, the

global information and communications technologies leader

headquartered in Japan.



A qualified candidate should have

i) Research interest and experience in quantum computing, specially in

quantum algorithms

ii) Background in linear algebra, machine learning, and probability

theory

iii) Strong programming skills

iv) Demonstrated ability to publish research papers in peer-reviewed

conference proceedings and/ or journals

v) Ability to work creatively and quickly



Students pursuing Masters and PhD programs with relevant coursework or

research experience are invited to apply. Successful candidate is

expected to have exceptional communication skills, work independently

as well as a part of a team, and grasp information outside her/ his

research expertise when required.



If this sounds like something you'd be interested at, please send a

recent CV to supadhyay@us.fujitsu.com




End of Digest
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