Subject: NA Digest, V. 18, # 30 NA Digest Sunday, July 29, 2018 Volume 18 : Issue 30 Today's Editor: Daniel M. Dunlavy Sandia National Labs dmdunla@sandia.gov Today's Topics: Freely available software for the solution of linear algebra problems New Book, Applied Linear Algebra, Second Edition Machine Learning and Computational Methods for Geoscience, USA, Oct 2018 Matrix-Analytic Methods in Stochastic Models, Australia, Feb 2019 Data Science Research Technician, Knowledge Transfer Unit, BCAM Deadline extended, Program Manager Position, Applied Math Program, DOE Software Developer Position, Ansys Inc Chair/Reader Position, Mathematical Optimization, Birmingham, UK Associate Professorship (or Professorship) Position, Numerical Analysis, Oxford Assistant and Associate Professor Positions, Nottingham Postdoc Position, CFD Modelling and Simulation, BCAM Postdoc Position, Tomography Algorithms, Univ of Manchester, UK Postdoc Positions, la Caixa Junior Leader, BCAM PhD Position, Applied Geometry/Numerics, JKU Linz, Austria PhD Position, Numerical Analysis, Strathclyde, Glasgow, UK Special Issue Call, Optimization and Engineering (OPTE) Contents, Journal of Computational Mathematics, 36 (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: Jack Dongarra dongarra@icl.utk.edu Date: July 27, 2018 Subject: Freely available software for the solution of linear algebra problems We are planning to update the survey of freely available software for the solution of linear algebra problems. The current version of the survey can be found at: http://www.netlib.org/utk/people/JackDongarra/la-sw.html The aim is to put in "one place" the source code that is freely available for solving problems in numerical linear algebra, specifically dense, sparse direct and iterative systems and sparse iterative eigenvalue problems. Please send Ali Charara ali@icl.utk.edu updates and corrections. We will post a note on the na-digest when the new list is available. Thanks, Jack Dongarra and Ali Charara ------------------------------------------------------- From: Peter Olver olver@umn.edu Date: July 24, 2018 Subject: New Book, Applied Linear Algebra, Second Edition Applied Linear Algebra, second edition by Peter J. Olver and Chehrzad Shakiban Undergraduate Texts in Mathematics, Springer, New York, 2018 The second edition of our undergraduate text is now in print, both e- book and hardcover (and much more affordable). Ordering information can be found at https://www.springer.com/us/book/9783319910406. You can check if you already have electronic access through your Institution here: https://link.springer.com/book/10.1007%2F978-3-319-91041-3 In addition to revising and reordering existing material - that includes basic numerical linear algebra: solution of equations; inner products, norms, and Gram-Schmidt; least squares, interpolation, and approximation; iterative methods; numerical computation of eigenvalues and singular values; and much more - new material has been added: Krylov subspace methods, including Conjugate Gradients, FOM, and GMRES; Principal Component Analysis and its relation to SVD; and wavelets, which supplements the existing introduction to the DFT/FFT. This textbook develops the essential tools of linear algebra, with the goal of imparting technique alongside contextual understanding. Applications go hand-in-hand with theory, each reinforcing and explaining the other. Providing an extensive treatment of essential topics such as Gaussian elimination, inner products and norms, and eigenvalues and singular values, this text can be used for an in-depth first course, or an application-driven second course in linear algebra. In this second edition, applications have been updated and expanded to include numerical methods, dynamical systems, data analysis, and signal processing, while the pedagogical flow of the core material has been improved. The first author's undergraduate text, Introduction to Partial Differential Equations, , is an ideal companion volume, and a natural extension of the linear mathematical and numerical methods developed here. ------------------------------------------------------- From: Rebecca Malkovich rebecca@ima.umn.edu Date: July 24, 2018 Subject: Machine Learning and Computational Methods for Geoscience, USA, Oct 2018 Novel computational and machine learning techniques are emerging as important research topics in many geoscience domains. In this workshop, we bring together researchers from geosciences and computational science to discuss recent advances and challenges arising from the design and application of computational techniques. Different geoscience applications often share similar computational techniques. However, there are not many opportunities for researchers from different domains to share their experiences in designing and using computational tools and methods. Through this workshop, we intend not only to investigate those common computational methods in depth, but also to promote potential future applications. The purpose of our workshop is to (1) demonstrate the importance of computational methods in understanding and analyzing the real problems arising in a broad array of geosciences applications, such as seismology, topography, hydrology, and remote sensing; (2) foster communication and interaction between geoscience researchers and computational scientists; and (3) identify critical research topics and potential solutions. The main research topics of our workshop will include but not be limited to statistical and machine learning techniques, inverse problems, and optimization. This workshop will also include an evening poster session. More information and online application available at https://www.ima.umn.edu/2018-2019/SW10.22-26.18 ------------------------------------------------------- From: Federico Poloni federico.poloni@unipi.it Date: July 24, 2018 Subject: Matrix-Analytic Methods in Stochastic Models, Australia, Feb 2019 The Tenth International Conference on Matrix-Analytic Methods in Stochastic Models (MAM10) will be held in Hobart, Australia, on February 13-15, 2019. MAM10 aims to bring together researchers working on the theoretical, algorithmic and methodological aspects of matrix-analytic methods and the applications of such methods across a broad spectrum of research fields. MAM10 provides an international forum for: - Presenting recent results on theory, algorithms and applications of matrix-analytic methods; - Discussing methodologies and the related algorithmic analysis; - Improving collaborations among researchers in applied probability, engineering and numerical analysis; - Tracing the current state of the art and the lines of the future research, pointing out the main topics of interest. Invited speakers: Soren Asmussen, Jevgenijs Ivanovs, Zbigniew Palmowski, Phil Pollett. Important dates: * September 15, 2018: submission of first (short) abstract * November 15, 2018: submission of extended abstract * February 13-15, 2019: conference Website and further information: http://www.maths.utas.edu.au/People/oreilly/mam/mam10.html (still to be updated with further details.) ------------------------------------------------------- From: BCAM recruitment@bcamath.org Date: July 24, 2018 Subject: Data Science Research Technician, Knowledge Transfer Unit, BCAM We are looking for a Data Science Research Technician to work atthe Basque Center for Applied Mathematics' Knowledge Transfer Unit (KTU). The aim of this platform is to develop mathematical solutions for scientific challenges based on real-life applications. The candidate will collaborate in knowledge transfer projects with industry and research entities, and will participate in research projects related with Statistical and Machine Learning data analysis. Deadline: August 31st, 2019 More info and requirements: http://www.bcamath.org/documentos_public/archivos/ofertas/BCAM_DS_ResearchTechnicia n_KTU.pdf Application form: http://www.bcamath.org/es/research/job/ic2018-summer-data-science-research-technician ------------------------------------------------------- From: Steven Lee steven.lee@science.doe.gov Date: July 28, 2018 Subject: Deadline extended, Program Manager Position, Applied Math Program, DOE A position is still posted for DOE Applied Mathematics Program Manager. The deadline has been extended to August 1, 2018. Open & closing dates: 7/19/2018 to 8/1/2018 For full details, see: https://www.usajobs.gov/GetJob/ViewDetails/505418500 ------------------------------------------------------- From: yong cheng Liu yong-cheng.liu@ansys.com Date: July 24, 2018 Subject: Software Developer Position, Ansys Inc Requisition ID: 6810 Software Developer II - Mechanical The Software Development Engineer involves developing, implementing, and maintaining functionality related to the ANSYS MAPDL application and Mechanical product line. The immediate work will be to advance Ansys/Mechanical high-performance computing and equation solvers with state of the art technology. Other areas of work for this position may include: modularizing MAPDL code to solve large equation systems arising mechanical application; developing and enhancing MAPDL global procedure such as nonlinear Newton- Raphson process, finite element data objects and data structure algorithms. Experience in computational science and linear algebra or computational mechanics with strong scientific programming and numerical analysis background is required. RESPONSIBILITIES: Extend the existing sparse direct equation solvers and finite element assembly code to satisfy the new design requirements. Enhance existing finite element stiffness generation code to speedup computational time effectively. Enhance the existing distributed or shared memory parallel procedure to make it more scalable in higher CPU cores. Develop better data structure for the MAPDL result file to aid faster post-processing Revise the existing MAPDL preconditioned iterative equation solvers to overcome convergence difficulty. Design and implement large finite element data objects for ease of access and update dynamically. MINIMUM QUALIFICATIONS: M.S. degree in computational mathematics specialized in linear algebra, graph theory and linear equation solution Or B.S. degree in similar disciplines with 5+ years. Strong scientific programming background in development & application of Finite Element system solution techniques is required. Proficiency in FORTRAN, C/C++, Microsoft Visual Studio environment, Highly motivated with a strong work ethic. This position requires the ability to work in a geographically distributed development environment and requires excellent communication skills. Experience with distributed parallel processing and/or similar methodologies. Ability to digest and utilize existing code to implement new data structure and the related algorithms. PREFERRED QUALIFICATIONS: Linux experience is desirable. Candidates with experience in development commercial numerical analysis software are a plus. Candidates with a PhD degree in computational mathematics specialized in linear algebra, graph theory and linear equation solution are a plus. Highly motivated with a strong work ethic. Project planning, management & leadership skill is a plus. Ability to collaborate well with other team members and management. Please apply for it from the Ansys website: http://www.ansys.com ------------------------------------------------------- From: Michal Kocvara m.kocvara@bham.ac.uk Date: July 29, 2018 Subject: Chair/Reader Position, Mathematical Optimization, Birmingham, UK School of Mathematics, College of Engineering and Physical Sciences University of Birmingham, UK Applications are invited for a Chair/Reader post in Mathematical Optimization. The School is seeking to appoint an active and committed researcher in one of the emerging areas of modern Mathematical Optimization, such as Stochastic Optimization, Distributed Optimization, Optimization for Data Analytics. The successful candidates will have a PhD (or equivalent) in Mathematics or Computer Science, a first-class research record in Mathematics, and a commitment to teaching, along with excellent communication skills. Candidates will demonstrate experience in attracting external funding. Informal enquiries may be addressed to Professor Michal Kocvara, tel: +44 (0) 121 414 6598, email: m.kocvara@bham.ac.uk Salary: Competitive package for outstanding candidate Closing date: 22 August 2018 To download the details and submit an electronic application online visit: https://www.birmingham.ac.uk/staff/jobs/ -> Current vacancies online -> post number 1406 See also https://www.jobs.ac.uk/job/BLN495/chair-reader-in-mathematics/ ------------------------------------------------------- From: Endre Suli endre.suli@maths.ox.ac.uk Date: July 27, 2018 Subject: Associate Professorship (or Professorship) Position, Numerical Analysis, Oxford The Mathematical Institute at the University of Oxford http://www.maths.ox.ac.uk proposes to appoint an Associate Professor (or Professor) of Numerical Analysis from 1 January 2019, or as soon as possible thereafter. The successful candidate will be appointed to an Official Studentship (Tutorial Fellowship) at Christ Church College https://www.chch.ox.ac.uk under arrangements described in the job description available from https://www.maths.ox.ac.uk/node/29343 The successful candidate will have a PhD in mathematics or closely related subject and will demonstrate the ability to carry out research at a high international level in Numerical Analysis, along with the ability to teach effectively across a range of topics in mathematics. Oxford’s Numerical Analysis Group has been a leader in UK and international numerical analysis and scientific computing since the 1960s. Research in the group spans the range from theory to applications and there are major activities in partial differential equations, numerical linear algebra, optimisation, compressed sensing, applied approximation theory, and applications in fluid and solid mechanics: https://www.maths.ox.ac.uk/groups/numerical-analysis Only applications received before 12.00 noon on Friday 31 August 2018 can be considered. ------------------------------------------------------- From: Paul Houston Paul.Houston@nottingham.ac.uk Date: July 26, 2018 Subject: Assistant and Associate Professor Positions, Nottingham We are looking to appoint two permanent positions - Assistant Professor and Associate Professor - in Applied Mathematics to deliver high quality teaching and undertake original research of international excellence in a branch of Applied Mathematics complementing existing activity within the School. Particular areas of interest include, but are not limited to, Scientific Computation, Industrial and Applied Mathematics, and Uncertainty Quantification. We are looking for a proactive, organised researcher who can evidence: - A PhD, or equivalent in applied mathematics or a relevant branch of mathematics. - Excellent communication and organisational skills. - The ability to work independently and as part of a multidisciplinary and multicultural team. - Networking, actively engaging with and valuing other areas and diverse groups. These are both permanent posts which are due to start on 1 January 2019 or as soon as possible thereafter. For further details and online application, see: Assistant Professor: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI229618 Associate Professor: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI229718 ------------------------------------------------------- From: BCAM recruitment@bcamath.org Date: July 24, 2018 Subject: Postdoc Position, CFD Modelling and Simulation, BCAM Applications are invited for a postdoctoral position in mesoscopic modelling of complex particulate systems at the CFD group at the Basque Center for Applied Mathematics. The focus of the project will be on accurate modelling and simulation of the dynamics and mechanical properties of micro/nano-particles interacting with complex liquids and under complex microflow conditions. In the area of material design, complex particulate systems represent one of the main building-blocks for smart composites. In particular, an emerging technology based on so-called "shear thickening fluids" (STFs) - a concentrated suspension of nanoparticles which adopts a solid-like state upon application of high stresses - is receiving increasing attention and has opened up a series of applications as selective dampers, such as a shock absorbers in the aerospace and textile industry. The postdoctoral candidate will work under the supervision of Prof. Marco Ellero (CFD group, BCAM) on the developments and use of mesoscopic particle- simulation methods to better understand the dynamics and rheology of complex suspensions. This task will be performed in collaboration with experimental rheologists. Deadline: August 31, 2018 More info and requirements: http://www.bcamath.org/documentos_public/archivos/ofertas/BCAM18_Postdoc_Profile_CFD _OK.pdf Application form: http://www.bcamath.org/es/research/job/ic2018-summer-postdoctoral-fellowship-in-cfd- modelling-and-simulation ------------------------------------------------------- From: Jakob Jorgensen jakob.jorgensen@manchester.ac.uk Date: July 24, 2018 Subject: Postdoc Position, Tomography Algorithms, Univ of Manchester, UK Research Associate: A Reconstruction Toolkit for Multichannel CT The goal of this EPSRC funded research project is to develop a new Reconstruction Toolkit for Multi-channel Computer Tomography (RT-MCT). The purpose is to provide novel functionality for reconstructing multi-spectral tomographic datasets. A key goal of this programme will be to find iterative solutions and optimisation strategies to improve robustness of multi-spectral image reconstruction towards low dose imaging, under-sampled projections and various artefacts. You will be expected to develop mathematical models of data generation in X-ray CT then use these to devise algorithms to recover images in the most efficient and reliable way. You would be expected to implement this and adapt it to the specific computing architectures available. You will also deploy RT-MCT into operation at our collaborating facilities, which will involve adapting it to the individual data requirements and educating facility and staff and users. Also you will assist with the supervision of research students, produce reports and presentations for project meetings, as well as writing manuscripts for publication. Further information can be found at: https://www.jobs.manchester.ac.uk/DisplayJob.aspx?JobId=15730 Informal enquires can be made to: Dr Martin Turner, martin.turner@manchester.ac.uk Closing date: 21 August 2018 ------------------------------------------------------- From: BCAM recruitment@bcamath.org Date: July 24, 2018 Subject: Postdoc Positions, la Caixa Junior Leader, BCAM BCAM is an elegible host institution for the Postdoctoral fellowships programme "la Caixa" Junior Leader that includes 22 postdoctoral fellowships for researchers of all nationalities to conduct a research project at accredited centres with the Severo Ochoa or Maria de Maetzu distinction of excellence, the Carlos III Health Research Institute in Spain and units rated as excellent and exceptional by Portugal's Fundacao para a Ciencia e a Tecnologia and 11 postdoctoral fellowships for researchers of all nationalities to carry out research at any university or research centre in Spain or Portugal. Deadline: September 26, 2018. The application for this programme must be done through la Caixa. More information about the requirements and the application form can be found at: http://www.juniorleaderlacaixa.org/ ------------------------------------------------------- From: Thomas Takacs thomas.takacs@jku.at Date: July 26, 2018 Subject: PhD Position, Applied Geometry/Numerics, JKU Linz, Austria The Institute of Applied Geometry (www.ag.jku.at) at Johannes Kepler University Linz, Austria, announces the opening of a PhD position (fixed-term contract with a duration of 3 years) within the research project P 30926 by the Austrian Science Fund FWF, entitled "Weak and approximate C1-smoothness in isogeometric analysis". We encourage candidates with a background in computational or applied mathematics to apply. Expertise on numerical analysis and/or geometric modeling as well as programming experience are required. The tasks include performing creative research, both independently and within a group, development and implementation of methods, as well as following the PhD curriculum at JKU. Our working language is English. A master's degree (or equivalent) in mathematics or a closely related field is required. The degree has to be obtained before the start of the contract (scheduled to be in Fall/Winter of 2018/19). We offer a yearly gross salary of Euro 29,573.60 (working time 30 hours/week), conforming with the standard rates of the FWF for doctoral candidates. See www.fwf.ac.at/en/ for more details. Please apply in English and include: Motivation letter; CV; Contact details of two to three references; Electronic version of master's thesis (if possible) - or - title, abstract and summary of thesis. Compile your application in a single PDF file and send it to the project leader Dr. Thomas Takacs, using the E-mail address: thomas.takacs@jku.at The deadline for application is August 31st 2018. Johannes Kepler University (www.jku.at) offers an excellent research and study environment. It is one of the leading institutions in the field of isogeometric analysis and hosts several related FWF and EU projects. The Johannes Kepler University wishes to increase the proportion of academic female faculty and, for this reason, especially welcomes applications by qualified women. If applicants are equally qualified, a woman will be given preference for this position. The university welcomes applications from qualified applicants who have physical disabilities. These applications will be given special consideration. ------------------------------------------------------- From: Victorita Dolean victodolean@gmail.com Date: July 25, 2018 Subject: PhD Position, Numerical Analysis, Strathclyde, Glasgow, UK A fully funded, four year PhD scholarship is currently available at the department of Mathematics and Statistics, University of Strathclyde (https://www.strath.ac.uk/science/mathematicsstatistics/) This project seeks to design, analyse, and implement fast, highly-parallel preconditioners for problems involving electromagnetic waves. The PhD researcher will have a substantial interaction with the postdoctoral researchers and scientists working in a recently awarded EPSRC grant between the Universities of Bath and Strathclyde, as well as with the industrial and academic international experts who are collaborating in this project. Prerequisites: a UK Honours Degree (or equivalent) in Mathematics, Mathematics and Physics, or a closely related discipline with a high mathematical content. Knowledge of numerical methods for the solution of partial differential equations and programming in usual scientific programming languages is desirable. The candidates must be a UK citizen, or a EU citizen fulfilling the EPSRC requirements. The starting date of the position should be on the 1st of October, 2018 or very soon after. Informal inquiries can be made to: V. Dolean (victo.dolean@icloud.com) ------------------------------------------------------- From: Luis F. Zuluaga luis.zuluaga@lehigh.edu Date: July 27, 2018 Subject: Special Issue Call, Optimization and Engineering (OPTE) OPTE Special Issue: TriPod-MOPTA 2018 on Energy and Optimization Submission Due Date: October 30, 2018 This call aims at publishing research work that showcases the interactions between Optimization and Engineering to address important problems arising in the Energy sector. The call encourages submissions from speakers at the upcoming TriPod-MOPTA 2018, but is open to submissions from any interested authors. The call is open to all types of papers, including theoretical, applied, and algorithmic articles, as well as articles that combine these features. The rapid and imperative changes in the Energy sector have created a wide range of challenges that are being addressed by a combination of Engineering and Optimization techniques. For example, consider the use of convex relaxations to obtain near-optimal alternating current optimal power flow (ACOPF) solutions, or for gas distribution network problems; the use of multi-level optimization to address commodity pricing problems, integration of renewable energy sources (RES) into electricity markets, or to immunize a commodity network against potential attacks; the use of uncertainty optimization techniques to address challenges related to the use of RES, immunize commodity networks against catastrophic events, and obtain robust equilibrium commodity prices that take into account uncertainty in commodity production or demand; the development of improved mathematical formulations and optimization solution methods, to address large-scale Energy related problems; among many other interesting research directions that are being explored towards the goal of designing commodity networks that are 'smart', interconnected, efficient, reliable, resilient, and environmentally responsible. Beyond the study of individual commodity networks, nowadays, very interesting research addresses the challenging problem of studying the interaction between different commodity networks such as electricity, gas, and water networks, as well as the interaction of these networks with communication and transportation networks. Please submit to the Optimization and Engineering (OPTE) journal at https://www.springer.com/mathematics/journal/11081 and select special issue 'SI: TriPod-MOPTA 2018'. All sub- missions must be original and may not be under review by another publication. Interested authors should consult the journal's "Instructions for Authors", at http://www.springer.com/ mathematics/journal/11081. All submitted papers will be reviewed on a peer review basis. ------------------------------------------------------- From: yyu@lsec.cc.ac.cn yyu@lsec.cc.ac.cn Date: July 29, 2018 Subject: Contents, Journal of Computational Mathematics, 36 (3) Journal of Computational Mathematics, Volume 36 (2018), Issue 3 http://www.global-sci.org/intro/articles_list.html?journal=jcm&volume_id=1437 Preface, Xiaojun Chen, Yuhong Dai, Peter Richtarik and Yinyu Ye An Augmented Lagrangian Trust Region Method with a Bi-object Strategy, Caixia Kou, Zhongwen Chen, Yuhong Dai and Haifei Han A Trust-region-based Alternating Least-squares Algorithm for Tensor Decompositions, Fan Jiang, Deren Han and Xiaofei Zhang SNIG Property of Matrix Low-rank Factorization Model, Hong Wang, Xin Liu, Xiaojun Chen and Yaxiang Yuan On Doubly Positive Semidefinite Programming Relaxations, Taoran Fu, Dongdong Ge and Yinyu Ye Parallel Stochastic Newton Method, Mojmr Mutny and Peter Richtarik Reduced-rank Modeling For High-dimensional Model-based Clustering, Lei Yang, Junhui Wang and Shiqian Ma A Complete Characterization of the Robust Isolated Calmness of Nuclear Norm Regularized Convex Optimization Problems, Ying Cui and Defeng Sun Transformations for the Prize-Collecting Steiner Tree Problem and the Maximum-Weight Connected Subgraph Problem to SAP, Daniel Rehfeldt and Thorsten Koch ------------------------------------------------------- End of Digest **************************