Subject: NA Digest, V. 20, # 4 NA Digest Sunday, January 26, 2020 Volume 20 : Issue 4 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: BFO (Brute Force Optimizer) Release 2.0 available New Book, Intelligent Analysis Deadline Extended, IFORS 2020, South Korea, Jun 2020 Workshop Celebrating 70th Birthday of Jack Dongarra, UK, Jul 2020 Faculty Position, Optimization, ENSTA Paris Postdoc Position, Mathematics, Simon Fraser Univ Postdoc Position, Nonsmooth Optimization/Inverse Problems, Univ of Helsinki Postdoc Position, Viscoelastic Flow Modelling, Univ of Luxembourg PhD Position, Computational fluid dynamics, Old Dominion Univ PhD Position, Finite element methods for coupled problems, Strathclyde PhD Position, Numerical Analysis, Lund Univ PhD Position, WIAS, Berlin PhD Positions, Computational Physics, Paul Scherrer Institut/ETH Zurich PhD Positions, Numerical Linear Algebra and HPC, Charles Univ Contents, Numerical Algorithms, 83 (1) 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: Philippe Toint [log in to unmask] Date: January 20, 2020 Subject: BFO (Brute Force Optimizer) Release 2.0 available Margherita Porcelli and Philippe Toint have the pleasure to inform you that Release 2.0 of the BFO (Brute Force Optimizer) Matlab package is now available...and that it merits its name a little bit less. BFO's remarkable features are: - its ability to handle a mix of continuous, discrete and categorical variables, - a novel self-training option, which may significantly improve the performance of the code on the user's class of problems, its capacity to handle multilevel, min-max and equilibrium problems, - an extremely versatile and easy-to-use interface. BFO also provides a number of user-oriented features, such as checkpointing and restart, facilities for specifying variable scaling, parameters passing, etc. - tools allowing the user to specify a variety of termination conditions, - BFOSS, a library whose purpose is to compute interpolation-based search steps. - using coordinate partially-separable problem structure. This ubiquitous problem structure can now be exploited by BFO, leading to very significant gains in performance (orders of magnitude) also allowing the use of BFO for large problems (thousands of variables and more). Release 2.0 of the Matlab BFO package is a major upgrade from Release 1 (https://sites.google.com/site/bfocode/home]) and includes several important new problem-oriented features. It also improves performance and stability upon Release 1.0 and corrects a few bugs. The code is publicly available on GITHUB (https://github.com/m01marpor/BFO). We welcome comments and suggestions. ------------------------------------------------------- From: GEORGE ANASTASSIOU [log in to unmask] Date: January 22, 2020 Subject: New Book, Intelligent Analysis George A. Anastassiou, Intelligent Analysis: Fractional Inequalities and Approximations Expanded, SPRINGER NATURE, 2020 Computational and fractional analysis play a very important role in now days either by themselves or because they cover a great variety of applications in the real world. We start with the important Iyengar type inequalities and we continue with Choquet integral analytical inequalities, related to great applications in economics. We deal with the local fractional derivatives of Riemann-Liouville type and related results including inequalities. We encounter the case of low order Riemann-Liouville fractional derivatives and inequalities without initial conditions, we study also related approximations. We continue with the quantitative complex approximation theory by operators and various important complex fractional inequalities. We also deal with the conformable fractional approximation of well-known Csiszar's f-divergence. We present conformable fractional self adjoint operator inequalities. We continue with the study of new local fractional M-derivatives which carry all the basic properties of ordinary derivatives. We finish with the new complex multivariate Taylor formula with integral remainder. This book results are expected to find applications in many areas of pure and applied mathematics. As such this monograph is suitable for researchers, graduate students, and seminars of the above disciplines, also to be in all science and engineering libraries. ------------------------------------------------------- From: Gerhard-Wilhelm Weber [log in to unmask] Date: January 20, 2020 Subject: Deadline Extended, IFORS 2020, South Korea, Jun 2020 2020 IFORS Conference: abstract submissions now open until 31st January 2020 The Organizing and Program Committees for IFORS 2020 welcomes all operations researchers to attend the 22nd Conference of the International Federation of Operational Research Societies (IFORS). Dates: June 21-26 (Sun-Fri), 2020 Location: Seoul, Korea Submit an abstract: https://www.euro-online.org/conf/ifors2020/ Please visit the IFORS 2020 webpage (www.ifors2020.kr) to learn more about important dates, abstract submission, registration, special issues of journals, the social program and accommodation. The IFORS 2020 conference will highlight global developments in operations research and show how the tools of operations research are expanding their impact on society, health, science and industry. IFORS conferences, held only once every three years, provide a platform for experts from around the world to showcase the diverse potential of state-of-the-art operations research techniques and technologies. IFORS 2020 offers a unique opportunity to network with operations research analysts, industrial users of operations research, and academic and industry experts from all parts of the globe. ------------------------------------------------------- From: Nick Higham [log in to unmask] Date: January 20, 2020 Subject: Workshop Celebrating 70th Birthday of Jack Dongarra, UK, Jul 2020 New Directions in Numerical Linear Algebra and High Performance Computing: Celebrating the 70th Birthday of Jack Dongarra, July 17, 2020, University of Manchester. This international workshop focuses on numerical linear algebra and high performance computing and brings together researchers working in these areas to discuss current developments and challenges in the light of evolving computer hardware. The workshop is being held to honor Jack Dongarra on the occasion of his 70th birthday. Contributed posters are welcome and for full consideration should be submitted by May 15, 2020, as part of the registration process. For details of the conference, including the invited speakers, and registration (deadline June 30, 2020) see https://nla-group.org/new-directions-in-numerical-linear-algebra-and-high-performance- computing-2020/ ------------------------------------------------------- From: Frédéric JEAN [log in to unmask] Date: January 20, 2020 Subject: Faculty Position, Optimization, ENSTA Paris ENSTA Paris opens a faculty position in optimization, see details here (in French): https://uma.ensta-paris.fr/var/uma/trainings/2020/prof_optim_uma.pdf The position a priori requires a fairly good level of French, but excellent non-French speaking candidates will be considered. The deadline for applications is Friday, March 15, 2020. ------------------------------------------------------- From: John Stockie [log in to unmask] Date: January 22, 2020 Subject: Postdoc Position, Mathematics, Simon Fraser Univ Alan Mekler Postdoctoral Fellowship, Mathematics Department Simon Fraser University Applications are invited for the Alan Mekler Postdoctoral Fellowship in the Department of Mathematics at Simon Fraser University. This fellowship provides the opportunity to engage in mathematical research and undergraduate teaching, and is targeted towards talented mathematicians who have recently completed their PhD (in 2017 or later). The initial appointment will be for one year, renewable for a second year subject to satisfactory performance in both research and teaching. The fellowship is open to candidates of any nationality and the selection decision will be based upon research potential, teaching ability, and the fit with current areas of active research in the department. A list of Mathematics faculty and their research interests can be found here: http://www.sfu.ca/math/research SFU is dedicated to fostering a culture of inclusion and mutual respect, and to advancing diversity in the workplace by encouraging applications from all qualified individuals including women, persons with disabilities, visible minorities, Indigenous Peoples, and sexual and gender diverse communities. The expected start date for the fellowship is 1 September 2020 and the annual stipend is a minimum of $55,000, plus a $3,000 grant for research expenses. The stipend includes a commitment to teach two undergraduate courses per year. Any questions about the position or application procedure can be addressed to Tom Archibald at [log in to unmask] How To Apply: Applications should be submitted electronically through MathJobs at http://www.mathjobs.org/jobs/jobs/15569, and must consist of: Cover letter, which indicates the names of up to three SFU faculty members whose research is closest to the applicant's; Curriculum vitae, including a list of publications; Research statement; Teaching statement; Three letters of reference submitted directly by the referees. At least one letter must report on the applicant's teaching ability. Completed applications will be reviewed on an ongoing basis starting 29 February 2020, and will be accepted until the position is filled. If necessary, applications may be sent by postal mail to the address below but these applications should arrive by the same deadline: Alan Mekler Postdoctoral Fellow Search c/o Prof. T. Archibald, Chair Department of Mathematics Simon Fraser University 8888 University Drive Burnaby, BC, Canada, V5A 1S6 ------------------------------------------------------- From: Tuomo Valkonen [log in to unmask] Date: January 24, 2020 Subject: Postdoc Position, Nonsmooth Optimization/Inverse Problems, Univ of Helsinki I am looking for a post-doctoral researcher to work on nonsmooth optimisation methods specifically for the solution of inverse problems. The position is at the Department of Mathematics and Statistics at the University of Helsinki in close contact with the Finnish Centre of Excellence in Inverse Modelling and Imaging. The starting date is negotiable, preferably in September 2020. In the first place, funding is secured until the end of August 2021. An extension is foreseen. Enquiries: Tuomo Valkonen To apply: https://www.helsinki.fi/en/open-positions/postdoctoral-researcher-in-optimization-for- inverse-problems ------------------------------------------------------- From: Jack S. Hale [log in to unmask] Date: January 23, 2020 Subject: Postdoc Position, Viscoelastic Flow Modelling, Univ of Luxembourg A postdoctoral position in data-enhanced models for simulating industrial extrusion processes is available immediately. This research project aims to improve the accuracy of swell prediction in industrial extrusion processes using a combined physics and data-driven modelling approach. See http://emea3.mrted.ly/2e627 for more details. ------------------------------------------------------- From: Nail Yamaleev [log in to unmask] Date: January 22, 2020 Subject: PhD Position, Computational fluid dynamics, 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 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 /#doctorofphilosophy-computationalandappliedmathematics For more information, please contact Dr. Yamaleev at [log in to unmask] ------------------------------------------------------- From: Gabriel Barrenechea [log in to unmask] Date: January 24, 2020 Subject: PhD Position, Finite element methods for coupled problems, Strathclyde Jennifer Pestana and I are currently advertising a fully funded 3.5-year PhD studentship on the topic "Finite element methods for coupled problems". The project lies in the interface between deriving new discretisations and proposing efficient linear (and nonlinear) solvers for the resulting large algebraic systems. As such, a candidate with a good knowledge of at least one of these two topics would be ideal. The position is open to any UK/EU student, and it can be filled as soon as an appropriate candidate is selected. The student is expected to start around the 01/04/2020. If you know of anyone that may be interested (and would be appropriate), please let her/him know. We require the student's CV, two reference letters, and a cover letter. We will also interview the candidates before making a decision. Please send applications and informal enquiries to [log in to unmask] ------------------------------------------------------- From: Eskil Hansen [log in to unmask] Date: January 24, 2020 Subject: PhD Position, Numerical Analysis, Lund Univ The Centre for Mathematical Sciences, Lund University, is recruiting a PhD student in numerical analysis for the project ''Next generation numerical partitioning schemes for time dependent PDEs''. Temporary position for 5 years Application deadline: February 12, 2020 Earliest starting date: March 15, 2020 For more information visit https://lu.varbi.com/en/what:job/jobID:310970/ ------------------------------------------------------- From: Heike Sill [log in to unmask] Date: January 23, 2020 Subject: PhD Position, WIAS, Berlin The Research Group "Partial Differential Equations" (Head: Prof. Dr. A. Mielke) at WIAS offers a PhD Student Position (f/m/d) (Ref. 20/03). to be filled as soon as possible. The position is associated with the research project "Pattern formation in coupled parabolic systems" within the DFG Collaborative Research Center SFB910 "Control of self-organizing nonlinear systems: Theoretical methods and concepts of applications". The prerequisites are a diploma or master degree in mathematics. The successful candidate will have sound knowledge in one of the following fields: functional analysis, nonlinear partial differential equations, reaction-diffusion systems, mathematical modeling in fluid or solid mechanics. Scientific question may be addressed to Prof. A. Mielke ([log in to unmask]). The appointment is limited to 2 years and may be extended. The salary is according to the German TVoeD scale with a working time of 29.25 hours per week. The Institute aims to increase the proportion of women in this field, so applications from women are particularly welcome. Among equally qualified applicants, disabled candidates will be given preference. Please upload your complete application documents (motivation letter, detailed CV, certificates, list of MSc courses and grades, copy of the master thesis, reference letter, etc.) via our website or via the applicant portal until February 29th, 2020 using the button "Apply online". See here for more information: https://short.sg/j/5908710 ------------------------------------------------------- From: Andreas Adelmann [log in to unmask] Date: January 22, 2020 Subject: PhD Positions, Computational Physics, Paul Scherrer Institut/ETH Zurich 1. COmbined Loading Optimization with Simulations and Surrogate models (COLOSS). The COLOSS project aims at an integral computational scheme for in- core/out-of-core spent fuel analysis, i.e. the development of so-called multidimensional loading surfaces (MLS). Considering the 5 nuclear power plants in Switzerland, about 12 000 spent fuel assemblies are expected for the final repository. In each canister for PWRs there will be 4 assemblies, hence the number of possible arrangements is over 10E21 possibilities. On this enormous amount of configurations boundary conditions w.r.t. safety i.e. effective criticality and maximum allowed decay heat, must be applied. On top of this the time dependent nature of the decay needs to be taken into account. In order to achieve a best-estimate-plus-uncertainty (BEPU) methodology for such MLS of storage/transport casks, the COLOSS project will aim at deploying data science techniques as alternative to the computationally unaffordable forward monte-carlo based modelling and uncertainty propagation methods. This PhD thesis project will be an integral part of COLOSS. The aim is to develop surrogate models using the reference numerical simulations as basis and thereafter, apply the surrogate models for MLS uncertainty/ sensitivity analyses and/or as loading optimisation method. This will contribute to an optimal experimental design (numerical simulations), constraints on design space (type and number of dependant variables) and accuracy versus computational performance of the employed methods. Your ideally have a sound background in theoretical or reactor physics, statistical & machine learning methods, numerical mathematics and be fluent in Python programming. For more information please contact Andreas Adelmann ([log in to unmask]) or Dimitri A. Rochman ([log in to unmask]) 2. Fast AI driven plan generation for patient selection in proton therapy. Radiotherapy can be considered the epitome of the concept of 'personalised medicine'. Using advanced computer methods based on physical models of interactions of radiation with tissue, a customised treatment is designed a priori for every patient presenting for radiotherapy. Proton therapy facilities, still are a rare resource, with the existing facilities having limited capacity for treating large numbers of patients. As such, patient selection is of critical importance if the benefits of proton therapy are to be best exploited. This research project is about an efficient and effective approach for planning high quality and clinically realistic treatment plans, with a minimal need for human interaction, and with turn-around times in the order of minutes. A conventional computational approach, will in the foreseen future, not be able to meet the stringent requirements concerning "time to solution" i.e. minutes. In this research project we will study statistical and machine learning approaches towards automatic planning systems for patient selection. The Center for Proton Therapy has the longest experience of clinical pencil beam scanning proton therapy, and hence has one of the largest databases of clinically validated patient treatments in the world. It is therefore in an ideal position to provide high quality data for a machine leaning approach to comprehensive and clinically relevant automatic treatment planning and patient selection. We are searching for a highly motivated student working at the intersection of machine & statistical learning and medical-physics. The ideal candidate has a great affinity to mathematical modelling with a sound background in machine and statistical learning methods. A sound background in either physics or medical-physics is needed. For more information please contact Andreas Adelmann ([log in to unmask]) or Tony Lomax ([log in to unmask]) ------------------------------------------------------- From: Erin Carson [log in to unmask] Date: January 21, 2020 Subject: PhD Positions, Numerical Linear Algebra and HPC, Charles Univ Funded PhD positions are available within the framework of the Primus Research Program "Scalable and Accurate Numerical Linear Algebra for Next-Generation Hardware", led by Dr. Erin Carson at the Faculty of Mathematics and Physics at Charles University. Further details about the project can be found at the project website: https://www.karlin.mff.cuni.cz/~carson/primus.html. Applications are invited from candidates who have strong background in numerical linear algebra, numerical analysis, parallel computing, or computational/data science application domains. Successful candidates will formally enroll in the PhD program at Charles University. Preliminary applications are due March 22, 2020. For details on how to apply, see https://www.mathjobs.org/jobs/jobs/15563 ------------------------------------------------------- From: Claude Brezinski [log in to unmask] Date: January 23, 2020 Subject: Contents, Numerical Algorithms, 83 (1) Table of Contents Numerical Algorithms, Vol. 83, No. 1 Differentiation matrices for univariate polynomials, Amirhossein Amiraslani, Robert M. Corless, Madhusoodan Gunasingam Fast discrete convolution in R^2 with radial kernels using non-uniform fast Fourier transform with nonequispaced frequencies, Martin Averseng Decomposition into subspaces preconditioning: abstract framework, Jakub Hrncir, Ivana Pultarova, Zdenek Strakos A relaxation-type Galerkin FEM for nonlinear fractional Schrodinger equations, Meng Li, Chengming Huang, Wanyuan Ming A priori error estimates of expanded mixed FEM for Kirchhoff type parabolic equation, Nisha Sharma, Morrakot Khebchareon, Amiya K. Pani A breakdown-free algorithm for computing the determinants of periodic tridiagonal matrices, Ji-Teng Jia A quadratic spline collocation method for the Dirichlet biharmonic problem, Bernard Bialecki, Graeme Fairweather, Andreas Karageorghis, Jonathan Maack Modulus-based matrix splitting methods for horizontal linear complementarity problems, Francesco Mezzadri, Emanuele Galligani Computing the Lambert W function in arbitrary-precision complex interval arithmetic, Fredrik Johansson Chebyshev spectral collocation method for system of nonlinear Volterra integral equations, Zhendong Gu A study of Schroeder's method for the matrix pth root using power series expansions, Chun-Hua Guo, Di Lu Accelerated double-step scale splitting iteration method for solving a class of complex symmetric linear systems, Mehdi Dehghan, Akbar Shirilord New self-adaptive step size algorithms for solving split variational inclusion problems and its applications, Yan Tang, Aviv Gibali Extending the applicability of the inexact Newton-HSS method for solving large systems of nonlinear equations, Ioannis K. Argyros, Santhosh George, Kedarnath Senapati Note on error bounds for linear complementarity problems of Nekrasov matrices, Chaoqian Li, Shaorong Yang, Hui Huang, Yaotang Li, Yimin Wei A structural analysis of field/circuit coupled problems based on a generalised circuit element, Idoia Cortes Garcia, Herbert De Gersem, Sebastian Schoeps GPU acceleration of splitting schemes applied to differential matrix equations, Hermann Mena, Lena-Maria Pfurtscheller, Tony Stillfjord ------------------------------------------------------- End of Digest **************************