Subject: NA Digest, V. 19, # 21 NA Digest Tuesday, May 28, 2019 Volume 19 : Issue 21 Today's Editor: Daniel M. Dunlavy Sandia National Labs dmdunla@sandia.gov Today's Topics: Piet Hemker, 1941-2019 MFEM Version 4.0 Release Note, OpenLB Version 1.3 New Book, Mastering Frequency Domain Techniques ... New Book, Passive Network Synthesis: An Approach to Classification Machine Learning and Uncertainty Quantification, USA, Jul 2019 Modelling the Cardiac Function, Italy, Jul 2019 Computational Mathematics and Applications, USA, Oct 2019 SIAM Central States Meeting, USA, Oct 2019 Full Professorship Position, Stochastic Analysis Professorship Position, Mathematical Optimization, TU Dresden Tenure-Track Lecturership Position, Applied Mathematics, LIverpool Researcher Position, Uncertainty Quantification, Technical Univ of Denmark Postdoc Position, Computational Math, Morgan State Univ Postdoc Position, Distributed Algorithms for ML and IR, Inria Postdoc Position, High-Order Methods for Conservation Laws, McGill Univ, Canada Postdoc Position, Mathematics, Univ of Trento Postdoc Position, Univ of Coimbra, Portugal Postdoc Position, Univ of Manchester Postdoc Positions, Math Imaging/Optimization/Inv Problems, Shenzhen Univ PhD Position, Efficient and robust reservoir simulation PhD Position, NA/Scientific Computing, Univ of Innsbruck Contents, Siberian J of Numerical Mathematics, 22 (2) 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: Kees Oosterlee c.w.oosterlee@cwi.nl Date: May 28, 2019 Subject: Piet Hemker, 1941-2019 It is with great sadness that we let you know that on 27 May professor Piet Hemker passed away, at the age of 77 years. Piet worked at CWI - Center for Mathematics & Computer Science, in Amsterdam, the Netherlands, from 1970 until his retirement in 2006. Since 1989 until his retirement, he has also been an endowed professor at the UvA. Since 2001 he was a CWI Fellow. Piet has helped to shape numerical mathematics in the Netherlands for many years. He contributed with important innovative scientific research to, among others, multigrid methods, defect correction, numerical methods for compressible flows, and manifold mapping. Even after his retirement, Piet was still often actively present at seminars, thinking along with numerical mathematics problems. We will miss him tremendously and remember him with great gratitude. Sincerely, Kees Oosterlee, Barry Koren ------------------------------------------------------- From: Tzanio Kolev tzanio@llnl.gov Date: May 25, 2019 Subject: MFEM Version 4.0 Version 4.0 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. For the first time ever, MFEM-4.0 adds support for GPU acceleration: - Device kernels can be written in CUDA, OCCA, RAJA or OpenMP. - Several examples have been ported with minimal code changes. - Many linear algebra and finite element operations can use device acceleration by simply replacing loops with MFEM_FORALL. - The library provides seamless device/host memory management. Some other additions in version 4.0 are: - Partial assembled finite element operators in the core library. - Support for prism elements and meshes with mixed element types. - General "low-order refined"-to-"high-order" field transfer. - Seven 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 LGPL 2.1. For more details, see the interactive documentation and the full CHANGELOG. ------------------------------------------------------- From: Mathias Krause mathias.krause@kit.edu Date: May 21, 2019 Subject: Release Note, OpenLB Version 1.3 The OpenLB developer team is very happy to announce that a new release of the open source Lattice Boltzmann Method (LBM) code is available for download on the project website https://www.openlb.net. New examples and models for multi-component fluid flow simulations and many user-friendly interfaces have been added.Have a look and be excited! PS: Please consider joining the developer team, by contributing your code and strengthen the LB community by sharing your research in an open and reproducible way! ------------------------------------------------------- From: Kris ONeill oneill@siam.org Date: May 21, 2019 Subject: New Book, Mastering Frequency Domain Techniques ... Mastering Frequency Domain Techniques for the Stability Analysis of LTI Time Delay Systems Rifat Sipahi This multipurpose book addresses the following questions for linear time- invariant (LTI) systems with an eigenvalue-based approach that is built upon frequency domain techniques: the fundamental question of how to study the stability of dynamical systems influenced by time delays; the related issues of how much time delay the system can withstand without becoming unstable; and how to change parameters to render improved dynamic characteristics, utilize/tune delay to improve dynamical behavior, and assess the stability and speed of response of the dynamics. Readers will find key results from the literature, step-by-step demonstrations of all implementations, and Maple and MATLAB code that is available from the author's website. 2019 / xviii + 174 pages / Softcover / 978-1-611975-71-0 / List $74.00 / SIAM Member $51.80 / CS20 See more details here: http://bookstore.siam.org/cs20 ------------------------------------------------------- From: Kris ONeill oneill@siam.org Date: May 21, 2019 Subject: New Book, Passive Network Synthesis: An Approach to Classification Passive Network Synthesis: An Approach to Classification By Alessandro Morelli and Malcolm C. Smith A resurgence of interest in network synthesis in the last decade, motivated in part by the introduction of the inerter, has led to the need for a better understanding of the most economical way to realize a given passive impedance. This monograph outlines the main contributions to the field of passive network synthesis and presents new research into the enumerative approach and the classification of networks of restricted complexity. It serves as both an ideal introduction to the topic and a definitive treatment of the Ladenheim catalogue. May 2019 / vi + 153 pages / Softcover / 978-1-611975-81-9 / List $64.00 / SIAM Member $44.80 / DC33 See more details here: http://bookstore.siam.org/dc33 ------------------------------------------------------- From: Dongbin Xiu xiu.16@osu.edu Date: May 28, 2019 Subject: Machine Learning and Uncertainty Quantification, USA, Jul 2019 Research Challenges and Opportunities at the interface of Machine Learning and Uncertainty Quantification July 24-26, 2019, University of Southern California, USA http://hyperion.usc.edu/MLUQ/ The fast growth in practical applications of machine learning (ML), in a range of contexts including, e.g. physical, cyber, and socioeconomic systems, has fueled a renewed interest in ML methods over recent years. These advances and achievements depend on the availability of (1) effective algorithms, (2) significant computational capabilities and (3) large volumes of data. Despite the demonstrated successes of ML, it is well recognized that the reliability of ML decisions is often strongly impacted by data errors/noise, data gaps and partial data, modeling errors, and generalization. Accordingly, significant research efforts are targeted at probabilistic ML (PML) methods, to enable the quantification of uncertainty in trained ML model parameters and predictions. The technical challenges in PML are similar to those faced in the field of uncertainty quantification (UQ). The two fields share difficulties with both training/parameter- estimation and forward prediction, when dealing with large models with many parameters, fundamental modeling uncertainties, large data that is nonetheless often insufficiently informative, data gaps and partial/missing data, data errors and noise, dangers of overfitting, and computational costs. The purpose of this workshop is to provide a forum for exchange of information from experts in each of these two communities, exposing and discussing challenges, opportunities, and potential future research directions for advancing the state of the art across both domains. List of Topics Probabilistic methods in machine learning; Bayesian networks; Network inference; Missing, partial and sparse data; Sparse low rank constructions; Probabilistic machine learning in high dimensions; Uncertainty quantification in machine learning training and prediction; Machine learning methods in uncertainty quantification. ------------------------------------------------------- From: Luca Paglieri luca.paglieri@polimi.it Date: May 20, 2019 Subject: Modelling the Cardiac Function, Italy, Jul 2019 2019 RISM Congress iHEART - Modelling the Cardiac Function 22-24 July 2019 - Varese (Italy) Chair: Alfio Quarteroni Abstract submission deadline: May 31, 2019 http://iheart.polimi.it/mcf2019 This congress, organised in the context of the prestigious Riemann International School of Mathematics, aims at focusing on the state of the art in the mathematical modelling and numerical simulation of the cardiac function and its clinical applications. This event will host plenary lectures from distinguished scientists as well as contributed talks, some presented by PhD students and some by senior researchers, and a poster session. PhD students selected for contributed presentation will be offered free accommodation. Plenary speakers: Dominique Chapelle (INRIA, FR), Antonio F. Corno (U. Leicester, UK), Miguel Fernandez (INRIA, FR), Antonio Frontera (H. San Raffaele Milano, IT), Rolf Krause (USI, CH), Gernot Plank (U. Graz, AT), Nicholas Smith (U. Auckland, NZ), Natalia Trayanova (Johns Hopkins U., USA) For more information and registration form: http://iheart.polimi.it/mcf2019 ------------------------------------------------------- From: Jichun Li jichun.li@unlv.edu Date: May 22, 2019 Subject: Computational Mathematics and Applications, USA, Oct 2019 We are pleased to invite you to participate in "Conference on Computational Mathematics and Applications" to be held at University of Nevada Las Vegas (UNLV), October 25 - 27, 2019. The conference aims at bringing together computational scientists from several disciplines to exchange new computational methodology and exciting applications developed recently. The themes of the conference include, but not limited to, topics: Numerical methods for wave propagation and applications; Numerical studies for fluid flow modelling, interface problems and applications to fluid-structure interactions (FSI); New technology and applications of finite element methods; Numerical methods for stochastic PDEs and applications; Uncertainty qualification and big data; Machine Learning for Scientific Computing. Plenary Speakers (confirmed) are: Susanne Brenner (Louisiana State University); Chi-Wang Shu (Brown University); Peter Monk (Univsity of Delaware); George Karniadakis (Brown University); Thomas J.R. Hughes (University of Texas - Austin). The conference is partially supported by NSF, UNLV Math Dept, and "Results in Applied Mathematics" (https://www.journals.elsevier.com/results-in-applied-mathematics). Limited financial supports are available for local lodging. We encourage Ph.D students, junior faculty and under-represented groups to apply by June 30. For more information, please visit the conference website: http://cams.sites.unlv.edu/conferences/ccma2019/ccma2019.html. ------------------------------------------------------- From: James Rossmanith rossmani@iastate.edu Date: May 23, 2019 Subject: SIAM Central States Meeting, USA, Oct 2019 Call for Minisymposium Proposals for 2019 SIAM Central States Annual Meeting Announcing the 2019 SIAM Central States Annual Meeting! When: October 19th and 20th, 2019 Where: Iowa State University, Ames, Iowa Url: https://siam2019.math.iastate.edu Important Dates: - May 21, 2019: Abstract submission opens for minisymposium organizers - June 30, 2019: Mini-symposium proposal deadline for organizers - August 8, 2019: Abstract submission deadline for a talk in a minisymposium - August 31, 2019: Early bird conference registration deadline - September 13, 2019: Financial support applications are due We are currently soliciting submissions of Minisymposium Proposals. Minisymposium Proposals can be submitted at the following website: https://siam2019.math.iastate.edu/submissions.html NOTE: Each Minisymposium Proposal should consist of 1 to 2 organizers and 4 to 8 speakers. Please make sure to obtain consent from your speakers before listing them. You will also need a tentative title for each speaker. Additional speakers may be added to your minisymposium once the general abstract submission has been completed -- we will work closely together with the minisymposium organizers during the phase of the conference organization. ------------------------------------------------------- From: Imke Franzmeier imke.franzmeier@uni-muenster.de Date: May 27, 2019 Subject: Full Professorship Position, Stochastic Analysis The Faculty of Mathematics and Computer Science and the Cluster of Excellence Mathematics Munster: Dynamics - Geometry - Structure at the University of Munster, Germany, invite applications for a Full Professorship in Stochastic Analysis, Bridging the Gaps Professorship, W3 level. This professorship has been established in the context of the new Cluster of Excellence Mathematics Munster within the framework of the German Excellence Strategy. In the Bridging the Gaps Professorship, the chosen candidate is expected to play a major role in connecting mathematical fields of the participating institutes, for instance between the Institute for Mathematical Stochastics and the Institute for Analysis and Numerics. We are looking for a dynamic and committed personality with an outstanding research profile in the field of stochastic analysis. Special attention will be given to candidates who can demonstrate their ability to enhance and complement the existing research groups at Mathematics Munster and are open to interdisciplinary collaborations with other scientific groups at the University of Munster. A visible role in intra- and interdisciplinary co-operations with existing and planned third-party funded projects and research centres is expected, as well as participation in our study programmes. Prerequisites for the application are a doctoral degree in mathematics or a related field, outstanding contributions to stochastic analysis, and corresponding teaching experience. Additionally prerequisite for the application are academic achievements made as a Juniorprofessor (assistant professor), in a Habilitation (postdoctoral qualification), as a member of the academic staff of a university or non-university research institute, or in a research position in business, administration or other relevant fields in Germany or abroad. The University of Munster is an equal opportunity employer and is committed to increasing the proportion of women academics. Consequently, we actively encourage applications by women. Female candidates with equivalent qualifications and academic achievements will be preferentially considered within the framework of the legal possibilities. We also welcome applications from candidates with severe disabilities. Disabled candidates with equivalent qualifications will be preferentially considered. Applications, including a CV, list of publications, research plan, and teaching portfolio, should be submitted electronically as a single PDF file by 30 June 2019 to mathdek@uni-muenster.de. Please find more information on www.mathematics-muenster.de ------------------------------------------------------- From: Oliver Sander oliver.sander@tu-dresden.de Date: May 20, 2019 Subject: Professorship Position, Mathematical Optimization, TU Dresden The Technical University Dresden in Dresden, Germany is currently offering a permanent professorship position (W2) in mathematical optimization. This is an interesting position at an interesting place, and people with a strong background in any branch of optimization are kindly invited to apply. More information at https:/tu-dresden.destellenausschreibung6801 (Ger.) or https:/www.verw.tu-dresden.deStellAusstelle.asp?id=6801&lang=en (Engl.) Deadline is 21 jun 2019. ------------------------------------------------------- From: Ke Chen k.chen@liv.ac.uk Date: May 23, 2019 Subject: Tenure-Track Lecturership Position, Applied Mathematics, LIverpool We are seeking to appoint a Lecturer initially for 3 years with the possibility to become permanent after competitive evaluation after 2+1 years in the area of Applied Mathematics (mainly Waves, Math Biology or Math Imaging). Three other posts in areas of Pure Math, Stochastics and Theoretical Physics) may be found form searching the page https://recruit.liverpool.ac.uk/. All the posts will be held in the Department of Mathematical Sciences, which is part of the School of Physical Sciences at the University of Liverpool. Deadline: 13-Jun-2019 23:30 Further details: https://tinyurl.com/Liverpool-Jun13th ------------------------------------------------------- From: Per Christian Hansen pcha@dtu.dk Date: May 21, 2019 Subject: Researcher Position, Uncertainty Quantification, Technical Univ of Denmark The Technical University of Denmark opens a permanent entry-level position as researcher, starting Sept. 1, 2019 (or as soon as possible after that). The position is part of the research project CUQI, Computational Uncertainty Quantification for Inverse Problems. For details see: https://www.compute.dtu.dk/english/cuqi We seek a candidate to develop a modeling platform and a flexible software system that performs Uncertainty Quantification (UQ) for inverse problems. Specifically, the applicant will be responsible for the development of a framework that turns UQ for inverse problems into an operational tool, consisting of: - A modeling platform to formulate and utilize many prior models. - A software system that utilizes the user's specific solution codes. This task involves a combination of theory development, algorithm design, software implementation, and test/validation on use-cases. A central theme in computational UQ is to formulate mathematical models for the priors such that they are practical and computationally useful. It is desirable to have a general modelling approach that works for a range of different types of prior models. The main challenge is to design and build such a general system; additional challenges are how to store and represent the underlying UQ information, and how to visualize it in an intuitive way. The development of this framework combines elements of inverse problems theory, Bayesian modeling, numerical analysis, optimization, software development, and validation. The result is a user-friendly abstraction level that lets users focus on modeling and data analysis, instead of mathematical details and low-level algorithm aspects. For more details and to apply: https://tiny.cc/CUQI-Researcher ------------------------------------------------------- From: Mingchao Cai Mingchao.Cai@morgan.edu Date: May 20, 2019 Subject: Postdoc Position, Computational Math, Morgan State Univ Postdoctoral Position in Computational Math at Morgan State University A postdoctoral position in CComputational Math is available at Morgan State University in the department of Mathematics. The work involves Finite element methods and numerical analysis for fluid poroelastic structure interactions. Candidates should have a Ph.D degree in Computational Mathematics or in Engineering with background in Finite Element methods, high performance computing, fluid mechanics, and/or structure mechanics. The position is available now and is expected to be filled as soon as possible. The benefit include regular salary ($3,200/m) plus insurance ($1,000/m charged by Morgan State University). The regular salary part is negotiable based on the expertise of the candidates. Interested candidates should contact Professor Mingchao Cai (see address below) with a CV and a description of their background and research interests. Professor Mingchao Cai Department of Mathematics Morgan State University 1700 E Cold Spring Ln, Baltimore, MD, 21251 E-mail: Mingchao.Cai@morgan.edu ------------------------------------------------------- From: Konstantin Avrachenkov K.Avrachenkov@inria.fr Date: May 22, 2019 Subject: Postdoc Position, Distributed Algorithms for ML and IR, Inria Topic of postdoc project: Asynchronous distributed algorithms for information retrieval and machine learning Resume: Many tasks in information retrieval (IR) and machine learning (ML) require operation with very large volumes of data, often distributed across distant databases. This calls for development of asynchronous distributed algorithms. Let us mention just a few typical tasks in IR and LM that require distributed approaches to process the data: PageRank, databases update and synchronization, distributed (federated) machine learning. Most existing distributed approaches for the mentioned tasks are either not asynchronous or have slow convergence. Thus, we aim to design, to analyse and to test rapidly convergent asynchronous distributed approaches. Requirements: PhD in Mathematics, Computer Science or Electrical Engineering; Solid background in Linear Algebra, Optimization, Probability and Statistics; Knowledge of Python as working programming language is another requirement. Experience in machine learning or information retrieval is a plus. For more information visit: https://jobs.inria.fr/public/classic/fr/offres/2019-01636 ------------------------------------------------------- From: Sivakumaran Nadarajah siva.nadarajah@mcgill.ca Date: May 20, 2019 Subject: Postdoc Position, High-Order Methods for Conservation Laws, McGill Univ, Canada Postdoc position is available within the Computational Aerodynamics Group at the Department of Mechanical Engineering, McGill University, Montreal, Canada. Successful candidates will pursue a research agenda in the area of High-Order Space-Time Methods for Hyperbolic Conservation Laws. The envisioned starting date for the position is July-September 1, 2019, or soon thereafter. Funding at 100% is available for a two-year period. For further details on the research group, please see https://sites.google.com/view/mcgill-computational-aerogroup/home?authuser=0 Apply to siva.nadarajah@mcgill.ca by June 30, 2019. ------------------------------------------------------- From: Lucas Omar Muller lucas.muller@unitn.it Date: May 24, 2019 Subject: Postdoc Position, Mathematics, Univ of Trento Applications are invited for a post-doctoral research fellow position at the Department of Mathematics, University of Trento (Italy). Candidates from almost all branches of mathematics, including Numerical Analysis, are welcomed. A research proposal, in line with one of the research activities of the Department, has to be presented. Further information and instructions on how to apply can be found at https://www.unitn.it/en/ateneo/bando/58105/department-of-mathematics-call-for-the- selections-for-the-awarding-of-no-1-research-fellowship-decre Further inquires, especially for applicants with interest in Numerical Analysis research topics, can be send to lucas.muller@unitn.it ------------------------------------------------------- From: Isabel Narra Figueiredo isabelf@mat.uc.pt Date: May 22, 2019 Subject: Postdoc Position, Univ of Coimbra, Portugal Postdoctoral position in computational mathematics (focusing on image processing and analysis, visualization, numerical analysis, optimization, inverse problems in imaging, partial differential equations - with applications in medicine) in the framework of the interdisciplinary research project "Multi-Cam Capsule Endoscopy Imagery: 3d Capsule Location and Detection of Abnormalities", with reference POCI-01-0145-FEDER-028960, of FCT - Portuguese national funding agency for science, research and technology (https://www.fct.pt/index.phtml.en) Location : Department of Mathematics, Faculty of Sciences and Technology, University of Coimbra (Coimbra) Portugal. Duration : 1 year (possible extension - extra 1 year). Starting date : October 2019. Applications : June 03 - June 17, 2019. Detailed information : http://www.mat.uc.pt/~isabelf/Postdoccall2019.html Official announcement : http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=114477 ------------------------------------------------------- From: Kody Law kodylaw@gmail.com Date: May 23, 2019 Subject: Postdoc Position, Univ of Manchester There is a postdoctoral research associate position opening at University of Manchester, in the area of microstructure image recognition and feature extraction, a.k.a. digital fingerprinting of materials microstructure. The appointment will be in the School of Mathematics in the Inverse Uncertainty Quantification Group, and joint with the Henry Royce Institute for Advanced Materials. The project is linked to the Data Centric Engineering Programme at The Alan Turing Institute. Please follow this link for the official advert, as well as further particulars and application instructions. Feel free to email me directly with inquiries. https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=17333 ------------------------------------------------------- From: J. Lu jianlu1979@163.com Date: May 28, 2019 Subject: Postdoc Positions, Math Imaging/Optimization/Inv Problems, Shenzhen Univ Postdoc Positions in Shenzhen University, China Location: Shenzhen, China Job Type: Full-Time Duration: 2 years Number of Position: 4 Positions Closing Date: Open Until Filled Description: We are looking for Postdoctoral Researchers in Image/Video Processing/Analysis,Mathematical Imaging, Optimization, Inverse Problems, Wavelet analysis, etc. We have no teaching tasks and check in / check out policy for Postdoctoral Researchers. Promotors: - Prof. Jian Lu (Shenzhen Key Laboratory of Advanced Machine Learning and Applications, College of Mathematics, Shenzhen University) - Prof. Lixin Shen (Syracuse University, USA) The salary is about 330,000 RMB (49,000 US dollars) per year, of which 180,000 RMB per year is after-tax. Those who are interested please send their C.V. to Prof. Dr. Jian Lu, e-mail: jianlu@szu.edu.cn; jianlu1979@163.com ------------------------------------------------------- From: Xing Cai xingca@simula.no Date: May 27, 2019 Subject: PhD Position, Efficient and robust reservoir simulation Simula Research Laboratory, Norway, invites applications for a 3-year PhD position in the subject of efficient and robust reservoir simulation. Detailed info: https://www.simula.no/about/job/call-phd-student-efficient-and-robust-reservoir-simulation Application deadline: July 7, 2019 Start time: As soon as possible (no later than October 1, 2019) ------------------------------------------------------- From: Lukas Einkemmer lukas.einkemmer@uibk.ac.at Date: May 24, 2019 Subject: PhD Position, NA/Scientific Computing, Univ of Innsbruck The numerical analysis group [1] at the University of Innsbruck invites applications for a PhD position within the framework of the FWF project 'Exponential Integrators for Problems in Magnetohydrodynamics' (P 32143), led by Lukas Einkemmer. The main goal of the project is to develop novel numerical algorithms for problems in plasma physics that are well suited for modern computer systems. Applications are invited from candidates who have some background in numerical analysis, numerical linear algebra, scientific and high performance computing, or related application areas. Experience in C++ and/or parallel programming is particularly welcome (but not necessary). Applications that arrive before 31.07.2019 will be given preferential treatment. To apply please send your cv to lukas.einkemmer@uibk.ac.at The successful applicant will be employed as a 'Doctoral candidate' per FWF salaries [2] (2,162.40 Euro gross salary, 14 times a year). [1] https://numerical-analysis.uibk.ac.at/ [2] https://fwf.ac.at/en/research-funding/personnel-costs/ ------------------------------------------------------- From: Siberian Journal of Numerical Mathematics sibjnm@sscc.ru Date: May 22, 2019 Subject: Contents, Siberian J of Numerical Mathematics, 22 (2) CONTENTS, Siberian Journal of Numerical Mathematics Volume 22, No. 2, 2019 For information to contributors and about subscriptions see http://www.sscc.ru/SibJNM/ Kel'manov A.V., Panasenko A.V., Khandeev V.I., Exact algorithms of searching for the largest size cluster in two integer 2-clustering problems Koledina K.F., Koledin S.N., Gubaydullin I.M., Automated identification system conditions for homogeneous and heterogeneous reactions in multy-purpose optimization problems Kudinov I.V., Kotova E.V., Kudinov V.A., A method of obtaining analytical solutions to boundary value problems based on the definition of additional boundary conditions and additional required functions Liu C., Hou T., Two-grid methods for a new mixed finite element approximation of semilinear parabolic integro-differential equations Mikhailov G.A., Randomized algorithms of the Monte Carlo method for problems with random parameters (``double randomization'' method) Stonyakin F.S., Some adaptive analog of Yu.E. Nesterov's method for variational inequalities with a strongly monotone operator {Shakti D., Mohapatra J., {Parameter-uniform numerical methods for a class of parameterized singular perturbation problems Shutyaev V.P., Parmuzin E.I., Sensitivity of functionals with respect to observation data in a variational assimilation problem for the sea thermodynamics model ------------------------------------------------------- End of Digest **************************