Today's Editor:

Daniel M. Dunlavy

Sandia National Labs

dmdunla@sandia.gov

- Professor Christopher TH Baker 1939-2017
- Fast Algorithms for Maxwell's Equations (FAME)
- SuiteSparse:GraphBLAS released
- PaMPA Day, France, Oct 2017
- Faculty Position, Computational Math, San Diego
- Tenure-Track and Postdoc Positions, Baylor Univ
- Assistant Professor Position, Applied Math./Computer Science
- Postdoc Instructorship Position, Rice Univ
- Postdoc Position, Computing and Mathematical Sciences, Caltech
- Postdoc Position, Exascale Computing, National Energy Technology Lab
- Postdoc Position, L2S, CentraleSupelec, Gif-sur-Yvette, France
- Postdoc Position, Mean Field Games, Inria Saclay and CMAP
- Postdoc Position, Numerical Analysis, Hong Kong Polytechnic Univ
- PhD Position, Collaborative Research Center on Data Assimilation
- PhD Positions, ICES/Aerospace, UT Austin
- Contents, J Numer Anal Approx Theory, 46 (1)
- Contents, Nonlinearity, 30 (10)
- Contents, Numerical Algorithms, 76 (2)
- Contents, TWMS Journal of Pure and Applied Mathematics, 8 (2)

From: Neville Ford njford@chester.ac.uk

Date: September 29, 2017

Professor Christopher TH Baker 1939-2017

BA (1961) MA DPhil (1964) FIMA (1979) DSc (Honoris Causa)

We are sorry to convey news of the passing of Christopher Baker a well

known member of the international Numerical Analysis community with

research interests in mathematical and computational modelling, the

analysis and numerical analysis of functional differential equations

and evolutionary problems with after-effect (including

integro-differential equations and deterministic and stochastic

delay-differential equations). He will be remembered by many for four

books devoted to the numerical solution of integral equations, for

well over 100 journal articles, and by his many PhD students for his

enthusiasm, his determination to enable his students to succeed, and

his willingness to spend as much time as it takes to ensure junior

colleagues are able to make progress in their research and become

successful.

Born in 1939, Christopher Baker was educated at Colchester Royal

Grammar School, and Jesus College, Oxford. He gained his BA in 1961

and his MA and DPhil in Mathematics in 1964. Following two years as a

member of faculty of the University of California at Berkeley, he

moved to the University of Manchester where he served successively as

lecturer, senior lecturer, reader and professor.

In 2004, following his time as research professor at the University of

Manchester (where he had served as Founding Director of the Manchester

Centre for Computational Mathematics and, for 3 years, as Head of the

Mathematics Department), Christopher joined the University of Chester

as a part-time member of the department, retiring from that role in

2016. At the time of his death he held the title of Emeritus Professor

at both the University of Manchester and the University of Chester.

Christopher is survived by his wife Helen, his children Deborah and

Mark, and four grandchildren.

A full obituary will appear at http://bit.ly/cthbaker.

Nick Higham (Manchester) and Neville Ford (Chester)

From: Wen-Wei Lin wwlin@math.nctu.edu.tw

Date: October 01, 2017

Fast Algorithms for Maxwell's Equations (FAME) is a package for

solving three-dimensional source-free Maxwell's equations with all

fourteen Bravais periodical lattice structures. The package is now

available from the website: http://famepack.info .

FAME is equipped with theoretical and numerical proofed algorithms

such as singular value decomposition of discrete single and double

curls, fast FFT-based matrix-vector multiplications, and null-space

free eigensolver. Both MATLAB and GPU versions of FAME are available

for maximum usability and efficiency, respectively. FAME has been used

to simulate various materials, compute band structures, design crystal

structures, and simulate electromagnetic fields.

Wen-Wei Lin, Tsung-Ming Huang, and Weichung Wang

From: Tim Davis davis@tamu.edu

Date: September 26, 2017

I would like to announce the release of SuiteSparse:GraphBLAS version

0.2.0, available at http://suitesparse.com .

SuiteSparse:GraphBLAS is a nearly full implementation of the GraphBLAS

standard, which defines a set of sparse matrix operations on an

extended algebra of semirings using an almost unlimited variety of

operators and types. When applied to sparse adjacency matrices, these

algebraic operations are equivalent to computations on graphs.

GraphBLAS provides a powerful and expressive framework for creating

graph algorithms based on the elegant mathematics of sparse matrix

operations on a semiring. More details on the GraphBLAS standard are

available at http://graphblas.org .

Performance of SuiteSparse:GraphBLAS is either on par with the

corresponding operations in MATLAB, or faster. Submatrix assignment

is particularly efficient. In one example, C(I,J)=A for a matrix C of

size 3 million-by- 3 million with 14 million nonzeros, and a matrix A

of size 5500- by-7000 with 38500 nonzeros, takes 82 seconds in MATLAB

but only 0.74 seconds in SuiteSparse:GraphBLAS. This result includes

finalizing the computation and returning the result to MATLAB as a

valid sparse matrix. SuiteSparse:GraphBLAS also includes a

non-blocking mode, so that a sequence of submatrix assignments can be

still more efficient.

SuiteSparse:GraphBLAS is at version 0.2.0, but the code is highly

polished, well-documented, and fully tested. It's as robust as any of

my other packages in SuiteSparse. However, the GraphBLAS

specification is still provisional, and there are a few minor

variations between the SuiteSparse:GraphBLAS implementation and the

specification. Once these are resolved, SuiteSparse:GraphBLAS version

1.0 will be released.

From: Cédric Lachat cedric.lachat@inria.fr

Date: September 28, 2017

The "PaMPA day" workshop will take place the 18th of October at Inria

Bordeaux - Sud-Ouest. You are warmly invited to attend/contribute to

the first "PaMPA Day". This day is dedicated to feedback regarding the

PaMPA software, on the features of parallel handling of distributed

meshes and parallelization of remeshing. In particular, some results

on the coupling of PaMPA with the sequential remeshers Mmg3d, Tetgen

and Gmsh will be presented.

PaMPA (project.inria.fr/pampa) is designed using a modular

architecture : the foundation library for distributed mesh handling

("PaMPA-Core") is available through free download under a free/libre

software license, and the parallel remeshing module ("PaMPA-Remesh")

is at the time being available on demand, under a privative/non-free

license. PaMPA is currently used by one big industrial company to

build, through refinement, very large meshes (above 1 billion

elements) in reduced time.

There is no registration fee and only the registered persons will be

allowed to participate to the "PaMPA day". A registration form is

available: https://sondages.inria.fr/index.php/875557/lang-en

From: Jose E Castillo jcastillo@sdsu.edu

Date: September 26, 2017

The Department of Mathematics and Statistics at SDSU has an open

position in Computational Mathematics at the assistant professor

level. Applicants must hold (i) a PhD in Applied or Computational

Mathematics or a closely related field and (ii) a demonstrated strong

record of independent research. The successful candidate is expected

to perform research in the development and implementation of

computational and applied mathematics methods to real-life

applications. Research experience in multiscale algorithms developed

at various scales (i.e. continuum, mesoscale, microscale, etc.) would

be advantageous. The successful candidate will work closely with the

members of the Nonlinear Dynamical Systems (NLDS) Group

(http://nlds.sdsu.edu), researchers affiliated with the Computational

Science Research Center (CSRC; http://www.csrc.sdsu.edu/), and

external collaborators in applications to compelling problems in

science and engineering. Applicants should apply via Interfolio at

https://apply.interfolio.com/44100 Review of applications will begin

November 1st, 2017 and will continue until the position is

filled. Incomplete applications are not guaranteed full consideration.

Please direct any questions to the Search Committee Chair, Ricardo

Carretero at rcarretero@mail.sdsu.edu. The appointment will start in

Fall 2018.

From: Ron Morgan Ronald_Morgan@baylor.edu

Date: September 28, 2017

The Math Dept. at Baylor University currently has a tenure-track

position in applied math and also a postdoc position in any area of

math.

For more details, see

http://www.baylor.edu/math/index.php?id=90845

From: Applied Math. and Computer Science Department -URosario macc@urosario.edu.co

Date: September 26, 2017

The Department of Applied Mathematics and Computer Science at

Universidad del Rosario in Bogota - Colombia - is opening three

Assistant Professor positions in Applied Mathematics and/or Computer

Science.

Successful candidates should hold a Ph.D. degree in Applied

Mathematics, in Computer Science or related fields, have teaching

experience, and conduct research in one or more of the following

fields:

-Artificial Intelligence

-Machine Learning

-Data Science

-Computational Geometry

-Computer Graphics

Please visit:

http://www.urosario.edu.co/Open-Positions-Department-Applied-Math/

for more information.

From: Fran Moshiri fran@rice.edu

Date: September 29, 2017

Department of Computational and Applied Mathematics (CAAM)

Rice University

The Department of Computational and Applied Mathematics

(www.caam.rice.edu) at Rice University in Houston, Texas, invites

applications for a Pfeiffer Postdoctoral Instructorship. All

postdoctoral instructors in the Department are appointed for two

academic years, with possible extension for a third year. The term of

appointment may begin at any time after July 1, 2018. Candidates must

have a recent PhD in Applied Mathematics and have demonstrated

potential for excellence in both research and teaching. This

opportunity is restricted to U.S. Citizens and Permanent Residents

only.

Instructors teach one lecture course each semester, and conduct

research in collaboration with a faculty mentor. The Pfeiffer

Instructorships honor Professor Paul Pfeiffer (1917-2012), a founding

member of the department.

Interdisciplinary work is a fundamental aspect of the

Department's program. The research interests of the Pfeiffer

Postdoctoral Instructors should align with the research programs of

the Department.

Applications consisting of a letter of application, current vita,

and descriptions of research plans and teaching experience should be

submitted via the website www.MathJobs.Org. In addition, candidates

should arrange for at least three letters of recommendations, which

may be submitted on the same website.

To receive full consideration the complete application must be

received by December 15, 2017, but the committee will continue to

accept applications until the position is filled.

Equal Opportunity Employer: Females/Minorities/Veterans/

Disabled/Sexual Orientation/ Gender Identity.

From: Sydney Garstang sydney@caltech.edu

Date: September 29, 2017

Caltech's Computing and Mathematical Sciences (CMS) department

announces openings for postdoctoral fellowships, starting in Fall 2018.

CMS runs an active, interdisciplinary postdoctoral program that

typically has upwards of 20 postdoctoral scholars in any given

year. These postdoctoral scholars are sponsored by individual faculty

and research groups as well as through cross-cutting centers such as

the Center for the Mathematics of Information (CMI), the Social and

Information Sciences Laboratory (SISL), the Institute for Quantum

Information (IQIM), the Resnick Institute, and the Molecular

Programming Project. This year, the following postdoc programs will

be accepting applications through this posting. Many of these programs

will recruit multiple postdoctoral scholars.

- The von Karman Postdoctoral Instructorship Program in Applied and

Computational Mathematics: http://www.cms.caltech.edu/about/vonkarman

- The DOLCIT Postdoctoral Fellowship Program:

http://www.cms.caltech.edu/about/dolcit

- The Center for the Mathematics of Information (CMI) Postdoctoral

Fellowship Program: http://www.cms.caltech.edu/about/cmi

Please submit applications at

https://www.mathjobs.org/jobs/fellowship/10739.

We are an equal opportunity employer and all qualified applicants will

receive consideration for employment without regard to race, color,

religion, sex, sexual orientation, gender identity, or national

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

characteristic protected by law.

Caltech is committed to working with and providing access and

reasonable accommodations to applicants with physical or mental

disabilities. To request disability accommodations for any part of the

interview or hiring process, please contact 626-395-4555 for

assistance or contact sydney@caltech.edu.

Caltech is required by law to record ethnic/racial and gender data on

the Institute's workforce. We therefore are requesting that you please

provide such information as part of the application process. Refusal

to do so will not result in any adverse employment action. This

information is confidential and will be communicated only as permitted

by applicable law.

From: Madhava Syamlal madhava.syamlal@netl.doe.gov

Date: October 02, 2017

The Multiphase Flow Sciences (MFS) Team at National Energy Technology

Laboratory (NETL) invites outstanding candidates to apply for a

postdoctoral position to develop and implement algorithms for

computational fluid dynamics-discrete element method (CFD-DEM) on

exascale exascale, high performance computers. This opening is

available im immediately, but there is flexibility in start dates.

The ideal candidate will hold a PhD degree in computer science,

mathematics, or engineering and have experience in CFD, DEM, and/or

molecular dynamics (MD) code development. Exceptional postmasters

candidates will also be considered for this position. Programming

expertise in C++, Fortran, C, or another programming language is

required. Experience with parallel computing, including MPI and

OpenMP is required. Familiarity with MFIX (www.mfix.netl.doe.gov) and

multi-phase flow is not required.

The specific tasks include: code profiling, algorithm development and

im implementation, writing reports/papers and making presentations to

re report the results of the research. The development team is ge

geographically disperse making excellent communication skills a must.

NETL, part of the U.S. Department of Energy (DOE) national laboratory

system, is owned and operated by the DOE. NETL supports the DOE

mission to advance the energy security of the United States. NETL

implements a broad spectrum of energy and environmental research and

development programs that will return benefits for generations to

come. The MFS Team at NETL is a leader in the design of numerical

modeling of gas-solids flows and simulations of devices of interest to

DOE. DOE. The job location is at Morgantown, West Virginia (htt

(http://www.morgantownwv.gov/) research campus of NETL.

Please follow this link to submit applications

https://www.orau.gov/netl/

Please email Jordan Musser (jordan.musser@netl.doe.gov) with any

questions.

From: Julien Bect julien.bect@centralesupelec.fr

Date: September 28, 2017

L2S (CentraleSupelec, Gif-sur-Yvette) is recruiting, in collaboration

with CEA DIF, a post-doctoral fellow to work on multi-fidelity

Gaussian process models and their applications.

More information about it is available here:

http://www.gdr-mascotnum.fr/media/postdoc-l2s-cea-2018.pdf.

From: Frédéric Bonnans Frederic.Bonnans@inria.fr

Date: September 26, 2017

The Inria-Saclay center offers a (renewable) one year postdoc position

in the Commands team of the Applied Math Center of Ecole Polytechnique

(CMAP): https://team.inria.fr/commands . The research theme will be

MFG with application to electricity production.

The MFG approach allows to modelize the way the crowd can influence

the personal behavior. This is particularly relevant for the analysis

of changes in the economic behavior (as for critical levels for the

adoption of new technologies). The models, based on stochastic

control, boil down to resolve coupled parabolic equations by finite

differences or semi lagrangian schemes. The main themes will be

- Analysis of existence of an equilibrium

- Choice of discretisation and numerical analysis (convergence order)

- Choice of optimization algorithms allowing to solve the discrete

problem.

For more information see

https://team.inria.fr/commands/files/2017/09/postdoc-EN-MFG2017.pdf

From: Buyang Li bygli@polyu.eduhk

Date: October 01, 2017

Applications are invited for a Postdoctoral/Research Fellow Position

in Numerical Analysis and Scientific Computing at Department of

Applied Mathematics of The Hong Kong Polytechnic

University. Applicants are expected to have a PhD degree in

mathematics. In addition we expect a specialization in PDE, stochastic

PDE, or functional analysis.

This position is one year or two years, depending on the application

result. The salary is on the usual level for postdoctoral research

fellows at Hong Kong universities.

Application documents: A CV with full list of publication.

Please send your application by e-mail to Dr. Buyang Li

(bygli@polyu.edu.hk) before November 5, 2017.

From: Sebastian Reich sereich@uni-potsdam.de

Date: September 28, 2017

The DFG-funded Collaborative Research Center SFB 1294 "Data

Assimilation - The Seamless Integration of Data and Models", hosted at

the University of Potsdam jointly with its partner Institutions HU

Berlin, TU Berlin, WIAS Berlin and GFZ Potsdam, invites applications

for a PhD position in the field of data assimilation for cognitive

models (project B03).

Deadline for applications is October 23, 2017. For more details see

http://www.uni-

potsdam.de/fileadmin01/projects/sfb1294/Open_Positions/Ausschreibung_SFB1294_B03_2n

dround-4-1.pdf

SFB 1294 provides a fantastic research infrastructure including 12

research projects, a large interdisciplinary network of researchers,

its own graduate school, and funding opportunities for conference

visits, summer schools, hosting international experts etc. See

www.sfb1294.de for more details.

From: Tan Bui-Thanh tanbui@ices.utexas.edu

Date: October 02, 2017

Two PhD students are immediately available in Prof. Bui's

Computational Engineering and Optimization Group at the Institute for

Computational Engineering and Sciences, and the Department of

Aerospace Engineering. Below are the detailed description for each of

the position.

#1 PhD position: The student will have the opportunity to work on the

development of reduced-order methods (aka model reduction methods) for

large-scale Neutron transport equation. The idea behind reduced-order

methods (ROMs) in this project is to reduce the cost of solving

large-scale Neutron transport equation discretized by the

Discontinuous Galerkin method. The student is responsible for

developing mathematical ROM algorithms, coupled with physics-based

ROMs, to produce real-time simulation of Neutron transport equation to

study nuclear weapon radiation effects. The project is in

collaboration with Texas A&M.

#2 PhD/postdoc position: The student will have a chance to work in a

multi-lab and multi-university 15M project on Fusion energy supported

by the Department of Energy. The whole project aims at Tokamak

Disruption Simulations. UT is responsible for developing parallel

high-order hybridized discontinuous Galerkin (HDG) methods for

magnetohydrodynamics system (coupled Navier-Stokes and Maxwell

equations) for multiphysics plasma simulations.

Requirements: potential candidates are those who have been working on

discretization of PDEs, are interested in mathematics, and strong in

programming. Strong background in computational mathematics is a plus.

Please contact Dr. Bui at tanbui@ices.utexas.edu for more details if

you are interested in either of these two positions.

From: JNAAT jnaat@ictp.acad.ro

Date: September 26, 2017

Journal of Numerical Analysis and Approximation Theory

published since 1972

http://ictp.acad.ro/jnaat

Foreword: Professor Costica Mustata at his 75th anniversary

Generalization of Jensen's and Jensen-Steffensen's inequalities and

their converses by Lidstone's polynomial and majorization theorem,

A. Vukelic, G. Aras-Gazic, J. Pecaric

On Newton's method for subanalytic equations, I.K. Argyros, S. George

Accurate Chebyshev collocation solutions for the biharmonic

eigenproblem on a rectangle, I. Boros

Bernstein operators of second kind and blending systems, D.I. Inoan,

F. Nasaireh, I. Rasa

The second Zolotarev case in the Erdos-Szego solution to a Markov-

type extremal problem of Schur, H.J. Rack

Approximation theorems for Kantorovich type Lupas-Stancu operators

based on q-integers, S.K. Serenbay, O. Dalmanoglu

On Szasz-Mirakyan type operators preserving polynomials, O.G. Yilmaz,

A. Aral, F.T. Yesildal

Afterword: In memoriam dr. Calin Vamos, member of Tiberiu Popoviciu

Institute of Numerical Analysis

From: Daniel Jopling daniel.jopling@iop.org

Date: September 26, 2017

http://iopscience.iop.org/issue/0951-7715/30/9

INVITED ARTICLE: Averages of ratios of the Riemann zeta-function and

correlations of divisor sums, Brian Conrey and Jonathan P Keating

Global well-posedness for passively transported nonlinear moisture

dynamics with phase changes, Sabine Hittmeir, Rupert Klein, Jinkai Li

and Edriss S Titi

Normality of different orders for Cantor series expansions, Dylan

Airey and Bill Mance

Decay estimates of solutions to the bipolar non-isentropic

compressible Euler-Maxwell system, Zhong Tan, Yong Wang and Leilei

Tong

Multi-soliton solutions and the Cauchy problem for a two-component

short pulse system, Z Zhaqilao, Qiaoyi Hu and Zhijun Qiao

Homoclinic points of 2D and 4D maps via the parametrization method,

Stavros Anastassiou, Tassos Bountis and Arnd Backer

Existence of small loops in a bifurcation diagram near degenerate

eigenvalues, Taoufik Hmidi and Coralie Renault

Using effective boundary conditions to model fast diffusion on a road

in a large field, Huicong Li and Xuefeng Wang

Kupka-Smale diffeomorphisms at the boundary of uniform hyperbolicity:

a model, Renaud Leplaideur and Isabel Lugao Rios

Symmetric solutions of evolutionary partial differential equations,

Gabriele Bruell, Mats Ehrnstrom, Anna Geyer and Long Pei

On the asymptotic behaviour of 2D stationary Navier-Stokes solutions

with symmetry conditions, Agathe Decaster and Dragos Iftimie

Strong time-periodic solutions to the 3D primitive equations subject

to arbitrary large forces, Giovanni P Galdi, Matthias Hieber and

Takahito Kashiwabara

From: Claude Brezinski claude.brezinski@univ-lille1.fr

Date: September 26, 2017

Table of Contents

Numerical Algorithms, Vol. 76, No. 2

M.A. Hernandez-Veron, Eulalia Martinez, Carles Teruel, Semilocal

convergence of a k-step iterative process and its application for

solving a special kind of conservative problems

Gradimir V. Milovanovic, Symbolic-numeric computation of orthogonal

polynomials and Gaussian quadratures with respect to the cardinal

B-spline

Sunil Kumar, Mukesh Kumar, A second order uniformly convergent

numerical scheme for parameterized singularly perturbed delay

differential problems

Maged Alkilayh, Lothar Reichel, Jin Yun Yuan, New zero-finders for

trust-region computations

Rafal Nowak, Pawel Wozny, New properties of a certain method of

summation of generalized hypergeometric series

Zhen Wang, Li Zou, Yupeng Qin, Piecewise homotopy analysis method and

convergence analysis for formally well-posed initial value problems

Jing-Tao Li, Chang-Feng Ma, The parameterized upper and lower

triangular splitting methods for saddle point problems

Dang Quang A, Dang Quang Long, Ngo Thi Kim Quy, A novel efficient

method for nonlinear boundary value problems

Qi Zhang, Yangzhang Zhao, Jeremy Levesley, Adaptive radial basis

function interpolation using an error indicator

Linsen Song, Yan Gao, A nonsmooth Levenberg-Marquardt method for

vertical complementarity problems

Xiaoxu Zhong, Shijun Liao, On the homotopy analysis method for

backward/forward-backward stochastic differential equations

Gang Cai, Yekini Shehu, Olaniyi Samuel Iyiola, Viscosity iterative

algorithms for fixed point problems of asymptotically nonexpansive

mappings in the intermediate sense and variational inequality problems

in Banach spaces

Antonio Garijo, Xavier Jarque, Jordi Villadelprat, An effective

algorithm to compute Mandelbrot sets in parameter planes

Pu Zhang, Hai Pu, A second-order compact difference scheme for the

fourth-order fractional sub-diffusion equation

Stefania Petra, Constantin Popa, Erratum to: Single projection

Kaczmarz extended algorithms

From: Fikret Aliev f_aliev@hotmail.com

Date: September 28, 2017

TWMS Journal of Pure and Applied Mathematics, Vol. 8, No.2, 2017

ISSN 2076-2585

CONTENTS

1.Solving Linear Fuzzy Fredholm Integral Equations of the Second Kind

via Iterative Method and Simpson Quadrature Rule : A Review,

R. Ezzati, A.M. Gholam

2.A Numerical Method to Determine the Optimal Stopping Boundary for

Installment Option, K. Ivaz, A. Beiranvand

3.Stability Problem for Singular Sturm-Liouville Equation,

E.S. Panakhov, A. Ercan

4.Existence of Solution of Hybrid Differential Equations with

Arbitrary Fractional Order, N.I. Mahmudov, M.M. Matar

5.On Higher Order (p; q)-Frobenius-Euler Polynomials, U. Duran,

M.Acikgoz S. Araci

6.Existence and Behavior of Solutions for Convection-Diffusion

Equations with Third Type Boundary Condition, K. Kalli, K.N. Soltanov

7.Controllability of Process Described by Linear System of Ordinary

Differential Equations, S.A. Aisagaliev, I.V. Sevryugin

8.On Dualistic Contractive Mappings, M. Nazam, M. Arshad , O. Valero,

A. Shoaib

9.The Technique of Early Determination of Reservoir Drive of Gas

Condensate and Velotail Oil Deposits on the Basis of New Diagnosis

Indicators, M.A. Jamalbayov, N.A. Veliyev

10.About Solution of Matrix Sylvester Equation, F.A. Aliev,

V.B. Larin

End of Digest

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