Subject: NA Digest, V. 21, # 32 NA Digest Sunday, August 22, 2021 Volume 21 : Issue 32 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Nomination for ICIAM Prizes Reminder, Call for Nominations, Hans Schneider Prize, Due Sep 2021 Online Materials for Linear Algebra and HPC SuperDC 1.0.0: Eigenvalue decomp, nearly linear complexity New Book, Time-Domain Scattering RAMSES Italy/HYBRID, Dec 2021 Head of Laboratory/Professorship Position, PSI/EPFL, Switzerland Postdoc Position, NA/Comp Math, City Univ of Hong Kong Postdoc Position, Scientific Data Compression, UC Boulder Postdoc Position, Stochastic Optimization, Umea Univ Postdoc Position, USP, Brazil Postdoc Position, Univ of Vienna Postdoc Positions, UQ, RWTH Aachen Doctorate Research Position, Univ of Vienna PhD Position, AI Meets Molecular Dynamics, Germany PhD Position, Graph Partitioning, Univ of Strathclyde PhD Position, Inverse Problems, Norwegian Univ of Life Sciences PhD Position, Medical Univ of Vienna Contents, Adv Comput Math (ACOM), 47 (4) Contents, Bulletin of Computational Applied Mathematics, 8 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: Sven Leyffer [log in to unmask] Date: August 19, 2021 Subject: Nomination for ICIAM Prizes The deadline for nominations for ICIAM prizes ia September 1, 2021. The following ICIAM Prizes are awarded every four years the the ICIAM Congress, see also https://iciam.org/iciam-prizes - ICIAM Industry Prize for outstanding contributions to innovative mathematical techniques with demonstrated impact in Industry. - Olga Taussky-Todd Lecture is awarded to a woman who has made outstanding contributions in applied mathematics and/or scientific computation. - ICIAM Su Buchin Prize recognizes outstanding contribution in the application of mathematics to emerging economies and human development. - ICIAM Pioneer Prize for introducing applied mathematical methods and scientific computing techniques to an industrial problem area or a new scientific field of applications. - ICIAM Maxwell Prize in recognition of a mathematician who has demonstrated originality in applied mathematics. - ICIAM Lagrange Prize recognizes mathematicians who have made an exceptional contribution to applied mathematics throughout their careers. - ICIAM Collatz Prize recognizes an individual under 42 years of age for outstanding work on industrial and applied mathematics. Nomination are accepted online at https://iciamprizes.org/ Sven Leyffer, ICIAM Secretary ------------------------------------------------------- From: Paul Van Dooren [log in to unmask] Date: August 18, 2021 Subject: Reminder, Call for Nominations, Hans Schneider Prize, Due Sep 2021 The 2022 Hans Schneider Prize in Linear Algebra Committee has been appointed by the ILAS President upon the advice of the ILAS Executive Board. It consists of: Rajendra Bhatia, Anne Greenbaum, Leslie Hogben, Martha Takane, Paul Van Dooren (chair) and Daniel Szyld (ILAS president - ex-officio member). It is the responsibility of the committee to solicit nominations and to make a recommendation to the ILAS Executive Board for this Prize to be awarded at the ILAS 2022 meeting in Galway. Nominations of distinguished individuals judged worthy of consideration for the Prize, are now being invited from members of ILAS and the linear algebra community in general. In nominating an individual, the nominator should include: (1) a brief biographical sketch, and (2) a statement explaining why the nominee is considered worthy of the prize, including references to publications or other contributions of the nominee which are considered most significant in making this assessment. The prize guidelines can be found at https://ilasic.org/hs-guidelines/ and the list of all Hans Schneider Prize winners at https://ilasic.org/hs-prize-winners/ Nominations are open until September 30, 2021 and should be sent by email to the chair, Paul Van Dooren ([log in to unmask]). The committee may ask the nominator to supply additional information. ------------------------------------------------------- From: Robert van de Geijn [log in to unmask] Date: August 22, 2021 Subject: Online Materials for Linear Algebra and HPC We continue to offer (free to auditors) four MOOCs on edx.org that may be of interest to the NADigest community. Related materials, which include short videos, exercises with complete solutions, and activities, are also made available for free independent of these courses. They can be used for self-study, as a supplement to tradition textbooks, or as an alternative to such textbooks. They may also be useful to students who wish to review as the semester starts. - Advanced Linear Algebra: Foundations to Frontiers (ALAFF) is a full-semester graduate course on numerical linear algebra. - Linear Algebra: Foundations to Frontiers (LAFF) is a full-semester undergraduate introduction to linear algebra designed with those interested in computing in mind. - LAFF-On Programming for Correctness is a 6 week course that teaches some of the core mathematics that underlies reasoning about programming, with an application to matrix computations. The techniques have been key to the development of our libflame library, an alternative to LAPACK. - LAFF-On Programming for High Performance is a 4 week course that uses matrix-matrix multiplication to teach core ideas of HPC. Learners discover some of the basic techniques that underlie the BLAS-like Library Instantiation Software (BLIS) framework. A related paper received the SIAM Activity Group on Supercomputing Best Paper Prize in February 2020. The courses are discussed in the SIAM News article "Teaching Numerical Linear Algebra Online" (https://sinews.siam.org/Details-Page/teaching-numerical-linear-algebra-online). For additional information, visit ulaff.net. ------------------------------------------------------- From: Jianlin Xia [log in to unmask] Date: August 21, 2021 Subject: SuperDC 1.0.0: Eigenvalue decomp, nearly linear complexity SuperDC 1.0.0 -- stable divide-and-conquer eigenvalue decomposition package (in Matlab) for rank-structured Hermitian matrices with about O(n) complexity has been released. See the following link for more details: https://www.math.purdue.edu/~xiaj/SuperDC Applicability: rank-structured Hermitian matrices (represented/approximated by HSS forms). Examples: - Banded matrices - Toeplitz matrices (in Fourier space) - Some discretized integral equations - Schur complements in direct factorizations of some sparse matrices - Other dense or sparse matrices with small off-diagonal (numerical) ranks Features: - No tridiagonal reduction needed - Nearly linear complexity for full eigenvalue decomposition - Nearly linear storage for all eigenvectors - Many stability features (stabilization like in tridiagonal divide-and- conquer, safeguards for clustered eigenvalues, stable FMM, etc.) - User controllable accuracy ------------------------------------------------------- From: Paul Martin [log in to unmask] Date: August 15, 2021 Subject: New Book, Time-Domain Scattering My book on "Time-domain scattering" has been published by Cambridge University Press: details here: http://www.cambridge.org/9781108835596 The book discusses analytical and numerical methods for scattering problems in the time domain. The prototype problem is: diffraction of a sound pulse by a sphere. ------------------------------------------------------- From: Marta D'Elia [log in to unmask] Date: August 17, 2021 Subject: RAMSES Italy/HYBRID, Dec 2021 With this message, we (re)announce the workshop RAMSES (Reduced order modeling, Approximation theory, Machine learning, Surrogates, Emulators and Simulators) to be held in a HYBRID format at SISSA in Trieste, Italy, on December 14-17, 2021. https://indico.sissa.it/event/43/ The workshop is focused on a review of recent algorithmic and mathematical advances and the development of new research directions in RAMSES, in the context of parametrized partial differential equations with sparse and noisy data in high-dimensional parameter spaces. The format of the workshop includes INVITED PRESENTATIONS and POSTERS. The confirmed invited speakers are: H. Antil (George Mason University), M.A. Bessa (TU Delft), P. Bochev (Sandia National Laboratories), C. Carstensen (Humboldt University), S. Canic (UC Berkely), Q. Du (Columbia University), O. Dunbar (California Institute of Technology), J. Hesthaven (EPFL), A. Huerta (Universitat Politecnica de Cataluna). G.E. Karniadakis (Brown University), Y. Maday (Universite Pierre et Marie Curie) H. Najm (Sandia National Laboratories), B. Peherstorfer (NYU) S. Perotto (Politecnico di Milano), A. Quaini (University of Houston), F. Rizzi (NexGen Analytics), R. Smith (North Carolina State University), E. Ullman (TU Munich), R. Ward (UT Austin) C. Webster (UT Austin) Y. Yu (Lehigh University) ALL invited talks will be delivered via Zoom, including those that are also delivered in a face-to-face format. We invite other researchers, most especially students and postdocs, that are already active in RAMSES-related research to participate in the workshop via a VIRTUAL POSTER which consists of a 5 minute Zoom presentation and online availability of all posters. The posters of participants who attend the workshop in person will also be available for in-person viewing by other in-person participants at the workshop. Poster abstracts should be submitted to [log in to unmask] in text format indicating: Name, affiliation, email address, title, abstract. ------------------------------------------------------- From: Daniel Kressner [log in to unmask] Date: August 18, 2021 Subject: Head of Laboratory/Professorship Position, PSI/EPFL, Switzerland PSI and EPFL are jointly seeking to appoint a dynamic personality with strategic thinking abilities as Head of the Laboratory for Simulation and Modeling (LSM) at PSI, and as tenured Full Professor of Applied and Computational Mathematics at EPFL. The PSI is Switzerland's largest research institute for natural and engineering sciences, and a world leading user laboratory. It develops and operates large-scale research infrastructures that require exceptionally high standards of know-how and technology. EPFL is a leading university with a strong emphasis on basic science, engineering, and life sciences. Research and teaching within its School of Basic Sciences includes computational mathematics, high-performance computing, large-scale simulation, and scientific data analysis. Further details of the position can be found at https://go.epfl.ch/psiepfl Applications should be submitted in via https://facultyrecruiting.epfl.ch/position/33980418 by October 31 2021. EPFL and PSI are equal opportunity employers and family friendly institutions. They are committed to increasing the diversity of their faculty and staff. They strongly encourage women and members of ethnic minorities to apply. ------------------------------------------------------- From: Lina Zhao [log in to unmask] Date: August 18, 2021 Subject: Postdoc Position, NA/Comp Math, City Univ of Hong Kong A postdoctoral position is available in the research group of Dr. Lina Zhao at the City University of Hong Kong. Candidates with research experience in numerical analysis, PDEs, machine learning are all welcome to apply. The postdoctoral position is supported by Hong Kong Centre for Cerebro- Cardiovascular Health Engineering (https://www.hkcoche.org/), and it can be a 3-year contract and can start at any time before the end of 2021. Competitive salary will be provided. If you are interested, please send your CV (with a publication list) to Dr. Zhao directedly (E-mail address: [log in to unmask]) for an application. ------------------------------------------------------- From: Stephen Becker [log in to unmask] Date: August 16, 2021 Subject: Postdoc Position, Scientific Data Compression, UC Boulder Applications are invited for a postdoctoral position available in Fall 2021 jointly in the Applied Mathematics and Smead Aerospace Engineering Sciences departments at the University of Colorado, Boulder. The appointee will conduct fundamental research in broad areas of large-scale PDE data compression using advanced techniques from machine learning, PDE discretization, and parallel computing. The project is a collaboration between Profs. Stephen Becker (Applied Math), Alireza Doostan (Aerospace), John Evan (Aerospace), and Kenneth Jansen (Aerospace). Applicants must have a Ph.D. in areas related to applied mathematics and computational sciences or engineering. Preference will be given to candidates with expertise in areas including but not limited to randomized linear algebra, deep learning, and/or high order PDE discretization schemes. The position is for two or three years, with annual contracts that renew upon satisfactory progress of work. The appointee will be working with a team of experts on randomized techniques, model reduction, as well large- scale modeling of turbulent flows and their HPC implementations. The interested candidates should submit a CV, a brief (max one page) statement of research interests, and contact information of two references to Prof. Stephen Becker ([log in to unmask]). Questions may be directed to Prof. Becker. ------------------------------------------------------- From: Armin Eftekhari [log in to unmask] Date: August 17, 2021 Subject: Postdoc Position, Stochastic Optimization, Umea Univ We are happy to announce a postdoctoral position in high-dimensional stochastic optimization with application to prehospital care. The fellowship is for two years full-time with starting date of October 15, 2021, or by agreement. The application deadline is September 16. For more information, please visit https://www.umu.se/en/work-with-us/postdoctoral-scholarships/6-1673-21/ ------------------------------------------------------- From: Jose Cuminato [log in to unmask] Date: August 18, 2021 Subject: Postdoc Position, USP, Brazil Post-Doc position in Modelling the Wheatley heart valve This project involves the mathematical modelling of blood flow from the left ventricle into and through a novel heart valve. The flow emerges from the left ventricle as a spiral flow and enters the aortic valve. This artificial valve consists of a titanium ring attached to a special flexible polymer with a complex mathematical shape designed to rapidly open during systole and close rapidly during diastole. It has three leaflets which may be modelled as curved elastic membranes. Thus the modelling problem involves fluid/structure interaction, that may be modelled by the immersed boundary method. The fluid (blood) may require to be treated as non-Newtonian. The candidate will need to have expertise in computational fluid dynamics, especially in CFD packages for simulation of fluid-structure interactions or the immersed boundary method, a good working knowledge of fluid simulation package(s), and a high-level programing language. The candidate will be based in Sao Carlos, Brazil, and will be required to spend some time at Strathclyde University, Glasgow, UK., Covid permitting. The post is initially for one year and can be renewed for another two depending on performance. Starting date is November 1st, 2021. To apply, please send a CV and a reference letter to [log in to unmask] . Applications are open until September/30st, 2021. ------------------------------------------------------- From: Min Hadler [log in to unmask] Date: August 16, 2021 Subject: Postdoc Position, Univ of Vienna We are offering a Post Doc Research Position within the Christian-Doppler Laboratory on Mathematical Modeling and Simulations of Next Generations of Ultrasound Devices at the Faculty of Mathematics, University of Vienna, funded by the Christian-Doppler Research Association (https://www.cdg.ac.at/). Full time, 40 hours per week, for an initial period of two year (with possible extensions up to a maximum of seven years), starting on January 1st, 2022. The researcher will work on developing and implementing inverse reconstruction formulas for ultrasound imaging. In particular strong interactions with the experimental partners and medical doctors at the Medical University of Vienna are required. We anticipate that the software components are directly implemented on programmable medical devices. Your profile: Strong background in mathematics and numerics of tomography and modeling; Software implementation capabilities; Doctorate in Mathematics, Computational Sciences, or Biomedical Engineering or a closely related field is required; English skills needed. Our offer: Excellent opportunities to work in a highly motivated research environment and collaborate with international experts in the fields related to the project. An annual gross salary according to the salary scheme of the Austrian Science Fund. In case the candidate has already Postdoc experience and brings in hardware component programming knowledge the position might even be eligible for a senior postdoc position. Applications with personal and scientific data and a compact statement about scientific interests and achievements should be sent by e-mail to [log in to unmask] till October 31st, 2021. More information can be found on https://www.csc.univie.ac.at/ ------------------------------------------------------- From: Raul Tempone [log in to unmask] Date: August 19, 2021 Subject: Postdoc Positions, UQ, RWTH Aachen The Alexander von Humboldt Chair of Mathematics for Uncertainty Quantification (MATH4UQ) of Prof. Raul Tempone at RWTH Aachen invites applications for several postdoctoral positions. The successful candidates will perform mathematical and computational research and become an active part of an international research network with a wide scope and high visibility. The main scope of the MATH4UQ Chair is to develop efficient numerical methods for solving forward and inverse problems, including optimal control and optimal experimental design, involving stochastic and random differential equations. Successful candidates should hold a Ph.D. degree in mathematics, computer science, computational engineering sciences, or related fields. They should have expertise in at least one of the following areas: uncertainty quantification, machine learning, data science, numerical analysis, stochastic optimal control, stochastic optimization, optimal experimental design, inverse problems as well as stochastic simulation and approximation. The position comes with a teaching duty. Required: Ph.D. degree in mathematics, computer science, computational engineering sciences, or related fields, High motivation, the ability to carry out research independently as well as to work in interdisciplinary teams, Proficiency in written and spoken English. Desired: Experience in performing collaborative research, Experience teaching in German, proficiency in written and spoken German. What we offer: Wide scope, world-class interdisciplinary scientific research within a highly connected and motivated team. Applications must contain a letter of motivation, a CV including a list of publications, and copies of degree certificates, along with contact details of at least two academic referees. Please forward your application package to Prof. Tempone at [log in to unmask] For full consideration, please apply by September 30, 2021. However, applications will be accepted until the positions are filled. ------------------------------------------------------- From: Min Hadler [log in to unmask] Date: August 16, 2021 Subject: Doctorate Research Position, Univ of Vienna We are offering a Doctorate Research Position within the Christian-Doppler Laboratory on Mathematical Modeling and Simulations of Next Generations of Ultrasound Devices at the Faculty of Mathematics, University of Vienna, funded by the Christian-Doppler Research Association (https://www.cdg.ac.at/). 30 working hours per week, for an initial period of two year (with possible extensions up to four year, or until the doctorate is finished), starting on January 1st, 2022. The researcher will work on developing and implementing image processing tools for ultrasound imaging. In particular strong interactions with the experimental partners and medical doctors at the Medical University of Vienna are required, which will evaluate the software developments. Your profile: Strong background in mathematics and image processing, experience in mathematical modeling is appreciated; Software implementation capabilities; Master in Mathematics, Computational Sciences or a closely related field is required; English skills needed. Our offer: Excellent opportunities to work in a highly motivated research environment and collaborate with international experts in the fields related to the project; An annual gross salary according to the salary scheme of the Austrian Science Fund. Applications with personal and scientific data and a compact statement about scientific interests and achievements should be sent by e-mail to [log in to unmask] till October 31st, 2021. More information can be found on https://www.csc.univie.ac.at/ ------------------------------------------------------- From: Benjamin Unger [log in to unmask] Date: August 17, 2021 Subject: PhD Position, AI Meets Molecular Dynamics, Germany We call for applications for a Ph.D. position working on physics-informed machine learning with applications in molecular dynamics. The Ph.D. thesis will be jointly supervised by two Junior Research Group Leaders, Dr. Kristyna Pluhackova and Dr. Benjamin Unger, at the Cluster of Excellence SimTech of the University of Stuttgart in Germany. Coarse-graining (CG) of molecular dynamics (MD) simulations has become a common practice allowing scientists to describe larger simulation systems over longer periods of time. This process is, however, necessarily accompanied by a loss of structural information on the stereochemistry and the relative orientation of the individual chemical groups, making the conversion to a higher-level resolution (also called reverse transformation or backmapping) a non-trivial operation. Your Ph.D. task is to establish a novel AI-based user-friendly methodology for backmapping of molecular dynamics simulations. The goal is to speed up the procedure and avoid the drawbacks of current state-of-the-art methodologies. The complete call, including all application details, is posted here: https://www.stellenwerk-stuttgart.de/jobboerse/phd-position-artificial-intelligence-meets- molecular-dynamics-stuttgart-210816-485135#id-cec42fd8 This open position is expected to be filled as soon as possible. You are welcome to contact Dr. Kristyna Pluhackova ([log in to unmask]) and Dr. Benjamin Unger ([log in to unmask]) for further information. We accept applications until August 31, 2021. ------------------------------------------------------- From: Luce le Gorrec [log in to unmask] Date: August 16, 2021 Subject: PhD Position, Graph Partitioning, Univ of Strathclyde Subject: Community detection is an essential tool in the analysis of complex networks, with diverse applications such as identifying genes related to cancer, uncovering terror cells on Twitter, and understanding links between politicians. For the simplest case of networks, there has been an abundant body of research, and many effective algorithms have been designed. But for more complex networks, the field is much more sparsely populated, due to the lack of consensus surrounding the definition of a community. The main focus of this PhD will be on unifying the problem of community detection in directed networks. It will build on a recent framework based on higher-order representations of networks, which has had some success. It will also build on existing work by the supervisors to produce methods tailored to the needs of the intelligence community. The project will blend cutting edge tools for mathematical analysis with algorithm development and extensive investigation of applications. Full description here: http://www.linkedin.com/posts/luce-le-gorrec-538135123_phd-project-full-description- activity-6833062085371473920-pFBj Eligibility: Applicants should have a first class or good 2.1 honours degree (or equivalent) in a relevant discipline (mathematics, computer science, engineering related disciplines, etc. with background in applied mathematics and programming). Highly motivated candidates from non- mathematical backgrounds should apply. The studentship covers full tuition fees and a tax-free stipend for 4 years starting on the 1st of October, with an attractive Research Training Support Grant to facilitate travel to appropriate conferences. To be eligible for a full award a student must have no restrictions on how long they can stay in the UK and have been ordinarily resident in the UK for at least 3 years prior to the start of the studentship. Deadline for application: 3rd September 2021. Contact: To apply, please send your CV and a cover letter to Dr Phil Knight ([log in to unmask]) or Dr Luce le Gorrec (luce.le- [log in to unmask]). You can also contact us for more information ------------------------------------------------------- From: Ole Elvetun [log in to unmask] Date: August 18, 2021 Subject: PhD Position, Inverse Problems, Norwegian Univ of Life Sciences The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant PhD-position related to the project Problem-dependent regularization techniques. The PhD position is for a period of 3 years, or up to 4 years if teaching and other work duties are agreed. In the project we seek a better understanding of inverse problems when the forward operator has a non-trivial null space, and we will analyze the potential of applying problem-dependent regularization to inverse problems involving EEG and ECG data. We will furthermore investigate the properties of the technique as a feature selection method in machine learning. The PhD position is placed in the Norwegian government pay scale position code 1017. PhD fellows are normally placed in pay grade 54 (NOK 491.200,-) (approx. 47.000 EUR/year) on the Norwegian Government salary scale upon employment and follow ordinary meriting regulations. Deadline: September 30th, 2021. For further information and to apply, see https://www.jobbnorge.no/en/available-jobs/job/210224/phd-position-within-applied- mathematics ------------------------------------------------------- From: Min Hadler [log in to unmask] Date: August 16, 2021 Subject: PhD Position, Medical Univ of Vienna A PhD position is available at the Center for Medical Physics and Biomedical Engineering at the Medical University of Vienna. We offer a PhD position - within the Christian-Doppler Laboratory on Mathematical Modeling and Simulations of Next Generations of Ultrasound Devices, funded by the Christian-Doppler Research Association (https://www.cdg.ac.at/) in the field of ultrasound imaging for a PhD student starting in the first quarter of 2022. Our research will be focused on the optimisation of clinical Ultrasound imaging systems. For this purpose the student will work with an experimental setup for testing ultrasound scanners and will implement optimised ultrasound sequences in close cooperation with the department of Mathematics at the University of Vienna. We expect from the successful candidate profound knowledge and a MSc equivalent degree in Physics or electrical engineering preferably with experience in experimental setups. Experience in Matlab, and/or Python/C would strenghten the application. Interested candidates should send a CV, a short motivation letter, and names and e-mails of references to [log in to unmask], until October 31, 2021. ------------------------------------------------------- From: Alex Barnett [log in to unmask] Date: August 16, 2021 Subject: Contents, Adv Comput Math (ACOM), 47 (4) Advances in Computational Mathematics. Volume 47, Issue 4 (August 2021) is now available online at https://www.springer.com/journal/10444 Optimal superconvergence analysis for the Crouzeix-Raviart and the Morley elements, Jun Hu, Limin Ma, Rui Ma Two-scale finite element discretizations for nonlinear eigenvalue problems in quantum physics, Pengyu Hou, Fang Liu When is there a representer theorem? Kevin Schlegel (Open access) Translation partitions of unity, symmetry properties, and Gabor frames, Ole Christensen, Say Song Goh, Hong Oh Kim, Rae Young Kim Efficient spatial second-/fourth-order finite difference ADI methods for multi-dimensional variable-order time-fractional diffusion equations, Hongfei Fu, Chen Zhu, Xueting Liang, Bingyin Zhang Learning via variably scaled kernels, C. Campi, F. Marchetti, E. Perracchione Cayley-transform-based gradient and conjugate gradient algorithms on Grassmann manifolds, Xiaojing Zhu, Hiroyuki Sato Continuous window functions for NFFT, Daniel Potts, Manfred Tasche (Open access) Exponential mean-square stability properties of stochastic linear multistep methods, Evelyn Buckwar, Raffaele D'Ambrosio (Open access) Adaptive sampling and modal expansions in pattern-forming systems, M.-L. Rapun, F. Terragni, J. M. Vega Estimating the error in matrix function approximations, Nasim Eshghi, Lothar Reichel Rapid evaluation of the spectral signal detection threshold and Stieltjes transform, William Leeb Clothoid fitting and geometric Hermite subdivision, Ulrich Reif, Andreas Weinmann (Open access) ------------------------------------------------------- From: Saul Buitrago Boret [log in to unmask] Date: August 16, 2021 Subject: Contents, Bulletin of Computational Applied Mathematics, 8 Table of Contents Bulletin of Computational Applied Mathematics, Vol. 8 http://www.compama.co.usb.ve/table-of-contents http://sites.google.com/a/usb.ve/compama/table-of-contents A constrained ill-posed linear problem with data in intervals arising in geodetic leveling, Henryk Gzyl, Silvia Mayoral Symbolic Algorithm to Solve Initial Value Problems for Partial Differential Equations, Srinivasarao Thota, Shiv Datt Kumar Attractive Periodic Solutions of a Discrete Holling-Tanner Predator-Prey Model with Impulsive Effect, Cosme Duque, Jahnett Uzcategui, Bladismir Ruiz, Maribel Perez Free surface flow under a gate with gravity and surface tension effect, Abdelkader Laiadi, Abdelkrim Merzougui Modeling of complete combustion reaction of room temperature gaseous Alkanes via join space, Morteza Norouzi, Abolfazl Mohammadi, Violeta Leoreanu-Fotea ------------------------------------------------------- End of Digest **************************