[External Email] Subject: NA Digest, V. 20, # 37 NA Digest Sunday, September 27, 2020 Volume 20 : Issue 37 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: New Self-Paced Linear Algebra Course (Update) New Book, Location Estimation from the Ground Up Black Heroes of Mathematics, ONLINE, Oct 2020 Mathematical methods for reactive multiphase flows, ONLINE, Oct 2020 Topological Methods in Data Science, ONLINE, Oct 2020 Numerical Approximation and Applications, ONLINE, Nov 2020 Multi-scale, Multi-physics and Coupled Problems, South Korea, Jan 2021 R&D Engineer II Position, Ansys, USA Faculty Positions, Computational Science and Engineering, Georgia Tech Postdoc Position, Optimization for Deep Learning, Berkeley Lab Postdoc Position, Reduced Modeling and Machine Learning, France Postdoc Positions. Mathematics Munster Cluster of Excellence, Germany PhD/Postdoc Positions, Univ Osnabrueck, Germany PhD Position, Mathematical Optimization and Energy Economics PhD Positions, Computational Science, USA Contents, Mathematics and Computer Science, 15 (4) Contents, Numerical Analysis and Approximation Theory, 49 (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: Pavel Solin [log in to unmask] Date: September 20, 2020 Subject: New Self-Paced Linear Algebra Course (Update) In NA Digest, V. 19, # 48 we introduced a novel self-paced Linear Algebra course where students learn by doing, at their own pace, receiving real-time feedback from the NCLab platform. The instructor does not lecture and works with each students individually instead. The course is perfect for both in-person and online instruction. NCLab's Python backend allows students to experiment in real time with advanced computational applications of Linear Algebra including Fourier series, best approximation, and data denoising and image compression with SVD. The course has been in use for three consecutive semesters now with great success. Students consistently like the self-paced learning model much more than traditional classroom teaching. Our findings are summarized in the recent paper "Self-Paced, Instructor-Assisted Approach to Teaching Linear Algebra" (http://femhub.com/pavel/work/paper-linear-algebra.pdf). The course has been continuously improved based on the feedback of our partner instructors: - The popular Matrix App was made fully AA accessible. It is now operable using fingers on touch screens, and mouse / keyboard on traditional displays. Watch a short illustrative video at https://youtu.be/2DjUTkqK5Fk and try it yourself at https://viewer.nclab.com/42d820651a1e4e3da76815f70d97b187. - Instructors can clone the course and tweak it to their own needs. - Solutions to Review Exercises were added. - The rest of the course is now AA accessible as well. For free access to the course contact Pavel Solin at [log in to unmask] Let's revolutionize the instruction of Linear Algebra! ------------------------------------------------------- From: Sivan Toledo [log in to unmask] Date: September 24, 2020 Subject: New Book, Location Estimation from the Ground Up 2020 / xvi + 200 pages / Softcover and e-book / ISBN 978-1-611976-28-1 SIAM / List $67.00 / Members $47.90 Print (and free access to a sample chapter and the table of contents): https://bookstore.siam.org/fa17 e-book: https://doi.org/10.1137/1.9781611976298 More previews on Google Books: https://books.google.co.il/books? id=JJf9DwAAQBAJ The book explains the mathematical formulation of location-estimation problems, the statistical properties of these mathematical models, and the algorithms that are used to resolve these models to obtain location estimates. The presentation emphasizes least squares and linear algebra techniques, so NA-Digest readers will find the book to be a highly readable resource on location estimation and on classical estimation in general. It covers GNSS (GPS) models and algorithms ranging from the very basic to RTK, a model with integer ambiguities that produces centimeter-level accurate estimates. It also covers other important modelling, analytical, and algorithmic techniques, like the Cramer-Rao bound, separable least- square problem, and Kalman filtering (covered in a unique way in the sample chapter). The book is suitable for self study, as a main textbook for courses on location estimation, or as a source of motivating problems and interesting algorithms for courses on linear algebra, numerical linear algebra, optimization, and statistics. ------------------------------------------------------- From: Pamela Bye [log in to unmask] Date: September 22, 2020 Subject: Black Heroes of Mathematics, ONLINE, Oct 2020 Online Event: Black Heroes of Mathematics Conference Date: Monday October 26, 2020 - Tuesday October 27, 2020 Online Conference held via Zoom https://ima.org.uk/15025/black-heroes-of-mathematics-conference/ The British Society for the History of Mathematics, The International Centre for Mathematical Sciences, the Institute of Mathematics and its Applications and the London Mathematical Society, are holding a two day conference on Black Heroes of Mathematics. The Vision of the conference is "To celebrate the inspirational contributions of black role models to the field of mathematics". There will be a balance of technical talks by internationally renowned black speakers that include some detail of career paths and experience to provide a testimonial dimension. We plan to achieve a balance of career stage and gender. Our speakers include Professor Edray Goins [Pomona College], Professor Nkechi Agwu [CUNY], Professor Tannie Liverpool [University of Bristol] and Dr Angela Tabiri [AIMS Ghana] to name a few. Invited Speakers and Talk Titles (Abstracts can be found on our website): Professor Nkechi Agwu (CUNY); Dr Spencer Becker-Kahn (University of Cambridge); Professor Edray Goins (Pomona College); Dr Howard Haughton (King's College London); Professor Tannie Liverpool (University of Bristol); Dr Angela Tabiri (Aims Ghana). Contact information E-mail: [log in to unmask] Tel: +44 (0) 1702 354 020 ------------------------------------------------------- From: Volker Mehrmann [log in to unmask] Date: September 25, 2020 Subject: Mathematical methods for reactive multiphase flows, ONLINE, Oct 2020 Within the upcoming Thematic Einstein Semester ``Energy-based mathematical methods for reactive multiphase flows'' of the Excellence Cluster Math+ in Berlin, an online student compact course ``Variational Methods for Fluids and Solids'' takes place from Oct 12-23, 2020. The course will give an in-depth background on the topics of the Thematic Einstein Semester, including lectures on variational thermomechanics and applications, modeling by Port-Hamiltonian systems and GENERIC, analytical and numerical methods, see https://mathplus.de/topic-development-lab/tes-winter-2020-21/ If you are interested, please register using our website, write to [log in to unmask], or contact any of the organizers. Matthias Liero, Volker Mehrmann, Alexander Mielke, Dirk Peschka, Marita Thomas, Barbara Wagner ------------------------------------------------------- From: Pamela Bye [log in to unmask] Date: September 22, 2020 Subject: Topological Methods in Data Science, ONLINE, Oct 2020 LMS-IMA Joint Meeting: Topological Methods in Data Science Date: Thursday October 1, 2020 - Friday October 2, 2020 Online Conference via Zoom https://ima.org.uk/15000/lms-ima-joint-meeting-topological-methods-in-data-science/ The London Mathematical Society and the Institute of Mathematics and its Applications will hold their next Joint Meeting online on 1st and 2nd October 2020. This year's topic is "Topological methods in Data Science". The meeting will take place over two days; the afternoon of 1st October the morning of 2nd October, and will comprise five talks of 45 minutes each including questions. Speakers and Titles (Abstracts can be found on our website): Kathryn Hess (EPFL) - Trees, barcodes, and symmetric groups; Gueorgui Mihaylov (King's College London) - A gauge theory of complex systems; Vidit Nanda (University of Oxford) - Geometric anomaly detection in data; Ran Levi (University of Aberdeen) - Combinatorial Structures in Neural Networks; Ulrike Tillmann (University of Oxford) - Title TBC. Contact information E-mail: [log in to unmask] Tel: +44 (0) 1702 354 020 ------------------------------------------------------- From: Rosanna Campagna [log in to unmask] Date: September 23, 2020 Subject: Numerical Approximation and Applications, ONLINE, Nov 2020 We are pleased to announce a new series of on-line seminars entitled "Online Seminars on Numerical Approximation and Applications OSNA^2". The online series of seminars promotes the interchange among researchers working in the domain of numerical approximation and its applications, limited by the COVID-19 pandemic. Since participation in traditional conferences is difficult, the primary goal of these webinars is to share novel and attractive ideas via web suggested by experienced and early-career researchers. As the second aim, the colloquia intend to bridge the gap between theoretical aspects of approximation theory and its applications. OSNA^2 will start on November 9, 2020, at 17:00 (GMT+2) with two talks per day and a week along four weeks. For more information including the schedule of the talks please visit the website: https://sites.google.com/unifi.it/osna2/home-page and contact us for any questions at [log in to unmask] Registration is needed to receive e-mails and virtual connection access to follow the seminars. ------------------------------------------------------- From: Neda Ebrahimi Pour [log in to unmask] Date: September 27, 2020 Subject: Multi-scale, Multi-physics and Coupled Problems, South Korea, Jan 2021 Submission deadline: 30th of October 2020 Workshop on "Multi-scale, Multi-physics and Coupled Problems on Highly Parallel Systems (MMCP)" at HPC Asia 2021, January 20-22, Jeju, South Korea This workshop will provide a platform for presentations and discussions on advances in numerical simulation for complex multi-scale, multi-physics and coupled problems. The goal of the workshop is to gather researchers (computer scientists, engineers, mathematicians, physicists, chemists, biologists, material sciences etc.) working on different disciplines but all facing challenges in multi-scale and multi-physics as well as coupled simulations on HPC systems. The main focus will be set on computational issues regarding performance and suitability for high-performance computing. Furthermore, the underlying strategies to enable these simulations will be highlighted. Keeping these aims in mind, contributions from all aspects of engineering applications will be considered. Topics of applications will include (but not be limited to): Multi-scale problems; Multi-physics problems; Molecular dynamics; Multi-domain/Concurrency; Multi-scale and/or multi-physics modelling for biomedical or biological systems; Novel approaches to combine different scales and physics models in one problem solution; Challenging applications in industry and academia, e.g. multiphase flows, fluid-structure interactions, chemical engineering, material science, biophysics, automotive industry, etc.; Load balancing; Adaptivity; Heterogeneous architectures; New algorithms for parallel-distributed computing, specific to this topic. More information regarding this workshop and the submission procedure can be found on our webpage: https://www.mb.uni-siegen.de/sts/workshops/mmcp2021/ ------------------------------------------------------- From: Zhen Wang [log in to unmask] Date: September 26, 2020 Subject: R&D Engineer II Position, Ansys, USA Ansys is seeking an outstanding candidate to join the team responsible for the industry leading computational electromagnetic (CEM) engines in the gold standard ANSYS HFSS simulation software product. This position focuses on HFSS HPC solver infrastructure that employs MPI and related distributed computing technologies. In addition, the position entails software architecture and implementation of software modules which communicate with solvers and UI product codes. The successful candidate will have a solid background in scientific software development, the ability to develop novel solution approaches, and experience in the application of scientific principles to analyzing problems. They will additionally possess experience writing CEM software and applying such software to solving practical problems such as antenna design, signal integrity, or electromagnetic scattering. The hired applicant will join a team of R&D developers and is expected to work collaboratively with them in developing best-in-class commercial software for engineering simulation. More details: https://careers.ansys.com/job/Canonsburg-R&D-Engineer-II-PA-15317/669764500/? locale=en_US ------------------------------------------------------- From: Edmond Chow [log in to unmask] Date: September 24, 2020 Subject: Faculty Positions, Computational Science and Engineering, Georgia Tech The School of Computational Science and Engineering (CSE) at the Georgia Institute of Technology invites applications for multiple openings at the Assistant Professor level (tenure-track); exceptional candidates at the Associate Professor and Professor level also will be considered. CSE focuses on foundational research of an interdisciplinary nature that enables advances in science, engineering, medical, and social domains. Applicants are expected to develop and sustain a research program in one or more of our core areas: high-performance computing, scientific and numerical computing, modeling and simulation, discrete algorithms, and large-scale data analytics (including machine learning and artificial intelligence). All areas of research will be considered, especially: scientific artificial intelligence (AI methods unique to scientific computing), urban computing (enabling effective design and operation of cities and urban communities), application-driven post-Moore's law computing, and data science for fighting disease. Applicants must have an outstanding record of research and a commitment to teaching. Applicants are expected to engage in substantive research with collaborators in other disciplines. For example, current faculty have domain expertise and/or collaborations in computational chemistry; earth sciences; biomedical and health sciences; urban systems and smart cities; social good and sustainable development; materials and manufacturing; and others. Applications should be submitted online through: https://academicjobsonline.org/ajo/jobs/16901. For full consideration, applications are due by December 1, 2020. ------------------------------------------------------- From: Juliane Mueller [log in to unmask] Date: September 22, 2020 Subject: Postdoc Position, Optimization for Deep Learning, Berkeley Lab Berkeley Lab's Center for Computational Sciences and Engineering (CCSE) in the Computational Research Division has an opening for a Postdoctoral Scholar in Optimization for Deep Learning. Researchers in CCSE develop and apply advanced computational methodologies to solve large-scale scientific and engineering problems arising in Department of Energy mission areas involving energy, environment, and industrial technology. This position will actively contribute to CCSE's optimization research and algorithm development. This is a research position in applied mathematics and computational science. The successful candidate will develop new efficient algorithms for the automated optimization of Deep Learning (DL) model architectures and the uncertainty quantification of the associated DL model's predictions. The postdoc will implement, benchmark, analyze, and apply the developments to science problems relevant to Berkeley Lab and the Department of Energy, for example predicting the traffic of the Energy Sciences network (ESnet). For more information about the opening, visit https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=91104 and reach out to [log in to unmask] with any questions you may have. We value and strive for diversity in backgrounds, experiences, and perspectives. ------------------------------------------------------- From: Olga Mula [log in to unmask] Date: September 23, 2020 Subject: Postdoc Position, Reduced Modeling and Machine Learning, France We are looking for a postdoctoral applied mathematician/computational scientist to join the research group Models & Measures financed by the Emergences grant project of the Paris City Council lead by Prof.Olga Mula. Current activities of the group focus on addressing forward and inverse problems with methods combining modern computational methods, such as reduced modelling of parametric PDEs, and recent machine learning techniques, in particular based on neural networks and optimal transport metrics. The developments seek to overcome known bottlenecks of classical algorithms and introduce new paradigms to solve problems of relevance to science and engineering. The postdoctoral fellow is expected to engage in different projects in line with the above vision. As a support for our numerical tests, we will consider applications related to air pollution, fluid dynamics, and epidemiology. The ideal candidate will have the following skills: A PhD in Applied Mathematics, Data Science, or Statistics. Solid experience in the development of numerical methods or data analysis with Python, Julia, R or C++. Solid working knowledge in at least one of the following topics: reduced modeling of PDEs, optimal transport, machine learning, uncertainty quantification, optimization. The effort is of a collaborative nature so strong interpersonal and communication skills are required. Working language is English or French. We offer a 1 year contract with the possibility of an extension. Starting date is flexible but ideally between December 2020 and March 2021. To express your interest, please send a letter of motivation, a resume, and at least 2 names of references to [log in to unmask] Evaluation of applications will continue until the position is filled. ------------------------------------------------------- From: Imke Franzmeier [log in to unmask] Date: September 25, 2020 Subject: Postdoc Positions. Mathematics Munster Cluster of Excellence, Germany Open Call for Postdoc Positions - Salary level E13 TV-L, 100% - In all research areas related to the Cluster of Excellence - The duration of the postdoctoral positions is up to three years. - The expected starting date is no later than October 2021. Young Research Groups (postdoctoral level) - Salary level E13 TV-L, 100% for up to four years. - In all research areas related to the Cluster. - The expected starting date is no later than October 2021. - Postdoc applicants are invited to collaborate as a Young Research Group on a joint research project relevant to the topics of Mathematics Munster. Apply individually through the postdoc application form Please find all relevant information about the position and the application requirements online at: https://www.uni-muenster.de/MathematicsMuenster/careers/postdocs/index.shtml http://www.mathematics-muenster.de ------------------------------------------------------- From: Stefan Kunis [log in to unmask] Date: September 25, 2020 Subject: PhD/Postdoc Positions, Univ Osnabrueck, Germany The Applied Analysis Group at the University of Osnabruck invites applications for 2 Research Assistants (PhD student or PostDoc) starting as soon as possible. The PhD student positions are limited to three years, the PostDoc position has an adapted duration. Your responsibilities: - Development, mathematical analysis, and implementation of new algorithms for moment problems and super-resolution imaging. Required qualifications: - Successfully completed university degree (Master or equivalent) in Mathematics or related fields. - Good knowledge in applied harmonic analysis, inverse problems, optimization, or applied algebraic geometry. - Programming skills and hands on experience in modern image processing tools. For further information, please contact Prof. Dr. Stefan Kunis (email: Stefan Kunis [log in to unmask], homepage: www.math.uos.de/kunis). Please send your application (including a letter of motivation, CV, publication list, copies of certificates, as well as names and contact details of 2 referees) as one PDF file via Email: [log in to unmask] Application deadline is 14.10.2020. ------------------------------------------------------- From: Martin Schmidt [log in to unmask] Date: September 22, 2020 Subject: PhD Position, Mathematical Optimization and Energy Economics Research assistant at the interface of mathematical optimization and energy economics (Friedrich-Alexander-Universitat Erlangen-Nurnberg and/or Trier University) In the DFG Collaborative Research Center (CRC) 154 "Mathematical Modelling, Simulation and Optimization using the Example of Gas Networks", the position of a research assistant is to be filled starting from March 2021 on. Remuneration is based on salary group E 13 TV-L (75%) and the position is filled for an initial period of 16 months. An extension is possible. The PhD student will do research at the interface of mathematical optimization, equilibrium modeling, and theoretical economics with applications to energy markets and to gas markets, in particular. A rigorous mathematical modeling of today's liberalized energy markets leads to multilevel mixed-integer nonlinear optimization problems that are extremely challenging both from a theoretical as well as from a computational point of view. In this context, the work's focus will be on mathematical modeling of multilevel equilibrium problems for energy markets, on the theoretical analysis of these models, on the development of tailored solution methods for their resolution, and on the economic analysis and interpretation of the results to obtain insights on real-world markets. Applications with the usual documents (letter of motivation, curriculum vitae, certificates and, if applicable, a list of publications) in a single PDF are requested via e-mail to Martin Schmidt ([log in to unmask]) or to Veronika Grimm ([log in to unmask]). ------------------------------------------------------- From: Jose E Castillo [log in to unmask] Date: September 21, 2020 Subject: PhD Positions, Computational Science, USA The Interdisciplinary Ph.D. Program in Computational Science is aimed at training scientists and engineers who will create advanced computational methods and tools to model and solve challenging problems at the intersections of scientific disciplines. The doctoral program offers coursework and research in a broad range of subjects that develop expertise in Mathematical Modeling and Scientific Computing with applications to Biological Science, Earth Science, Engineering Science, Health, Physical and/or Chemical Science. UCI and SDSU campuses are recognized as Hispanic Serving Institutions offering a welcoming and supportive environment for diverse students. Admitted graduate students are offered a range of financial assistance options while they are pursuing advanced degrees, including Teaching, Graduate, and Research Assistantships and Fellowships. Applicants with strong backgrounds in mathematics, physical, biological and geological sciences, computer science, and engineering are invited to apply. Please check our website for details regarding the doctoral program and the application process. Website: http://www.csrc.sdsu.edu/csrc/doctoral.html ------------------------------------------------------- From: Badih Ghusayni [log in to unmask] Date: September 21, 2020 Subject: Contents, Mathematics and Computer Science, 15 (4) Contents, International Journal of Mathematics and Computer Science, Volume 15, no, 4: Chawalit Boonpok, Chokchai Viriyapong, closed sets in ideal strong generalized topological spaces Mohammad Nazrul Islam Khan, Complete and horizontal lifts of Metallic Structures Marwa J. M. Zedan, Fawziya Mahmood Ramo, Predicting Alzheimer's Disease using Grey Wolf Intelligent Algorithm A. Alshabeeb, N. G. Ali,S. A. Naser, W. M. Shakir, A Clustering Algorithm Application in Parkinson Disease based on k-means Method Fairouz Sherali, Sarhan Falah, An Efficient Two Factor User Authentication and Key Exchange Protocol for Telecare Medical Information System Haitham Qawaqneh, New contraction embedded with simulation function andn cyclic -admissible in metric-like spaces S. Kawsumarng, T. Khemaratchatakumthorn, P. Noppakaew, P. Pongsriiam, Distribution of Wythoff Sequences Modulo One V. Shalini, Indra Rajasingh, Domination and Inverse Domination in Wrapped Butterfly Networks Joice Punitha M., A. Josephine Lissie, Even Strongly Multiplicative Labeling in Certain Splitting Graphs Anwar Khaleel Faraj, Areej M. Abduldaim, Some Results Concerning Multiplicative (Generalized)-Derivations and Multiplicative Left Centralizers T. Augustine, S. Roy, e-Lucky Labeling of Certain Graphs Kateryna Nesvit, Maryna Nesvit, Mathematical Education with efficient Virtual Teacher E. Vidhya, R. Rathipriya, Key Generation for DNA Cryptography Using Genetic Operators and Diffie-Hellman Key Exchange Algorithm K. Agilan, V. Parthiban, Existence of Solutions of Fuzzy Fractional panto-graph Equations Boonyong Sriponpaew, Lee Sassanapitax, On k-Step Fibonacci Functions and k-Step Fibonacci Numbers K. U. Sreeja, P. B. Vinodkumar, P. B. Ramkumar, A graph polynomial for independent sets of Fibonacci trees G. Dheepa, P. L. Chithra, A Fully-Automated Detection of Brain Tumor in MRI Images using Input Cascaded CNN A. V. Ramakrishna, T. V. N. Prasanna, D. V. Lakshmi, Turning Near rings into New Near rings V. Annamma, N. Hameeda Begum, Prime Labeling of some Star Related Mirror Graphs A. S. Shanthi, F. Azher, Natural Difference Labeling on Certain Graphs El Mostafa Rajaallah, Classification of phases based on a Principal Component Analysis for Intrusion Detection Methods S. Dhanalakshmi, Mean Square Cordial Labeling of a Shell-butterfly Graph S. S. Devi, K. Ganesan, Higher Order Fuzzy Initial Value Problem Through Taylor's Method Carlos Ogouyandjou, Nestor Wadagni, Wasserstein Riemannian geometry of Gamma densities Rami AlAhmad, Sum of powers of the natural numbers via Stirling numbers of the second kind R. Vincent, P. Bhatia, M. Rajesh, A. K. Sivaraman, M. S. S. A. Bahri, Indian Currency Recognition and Verification using Transfer Learning V. Cynthia, S. Therese, Packing of Certain Nanotubes and Nanosheet K. E. Hilda, J. J. Jesintha, Disjoint Union of Two SSG(2) is Odd Graceful S. Deepa, A. Gnanam, Extraction of Cantor One-Third Set from Stern-Brocot Sequence V. Annamma, Jawahar Nisha M. I., Geometric Mean Cordial Labeling of certain Graphs M. Ibrahim, A. Senguttuvan, D. Mohankumar, R. G. Raman, On Classes of Janowski Functions of Complex Order Involving a q-Derivative Operator R. K. Kumari, R. Arulprakasam, V. R. Dare, Language of Lyndon Partial Word V. Sankar, P. B. Ramkumar, D. Daison, G. Thampi, R. Panicker, Fuzzy Logic Based Optimization Method for Mechanical Systems and its Application S. M. Arul, R. M. Umamageswari, On the Achromatic Number of Certain Distance Graphs D. Sophia Navis Mary, S. Gopinathan, Performance of Merkle Signature Scheme in Data Integrity Verification at Client Mohammed Yahya Alghamdi, An Investigative Analysis of Students' Use of Web 2.0 Applications at Albaha University T. H. Jasim, S. I. Abdullah, K. S. Eke, Contra Continuity on Double Fuzzy Topological Space N. Mohana, K. Desikan, Parallelisable String-Based SP-Local Languages and their properties M. Sowjanya, A. GangadharaRao, T. Radharani, V. Padmaja, Results on r-regular near-rings V. Manoranjithem, M. Venkatesulu, KNN Classification in Chronic Kidney Disease Dataset ------------------------------------------------------- From: JNAAT [log in to unmask] Date: September 26, 2020 Subject: Contents, Numerical Analysis and Approximation Theory, 49 (1) Journal of Numerical Analysis and Approximation Theory published since 1972 http://ictp.acad.ro/jnaat Preconditioned conjugate gradient methods for absolute value equations, N. Anane, M. Achache Comparative numerical study between line search methods and majorant functions in barrier logarithmic methods for linear programming, S. Chaghoub, D. Benterki Low-rank matrix approximations over canonical subspaces, A. Dax On the convergence rates of pairs of adjacent sequences, D. Duca, A. Vernescu Quantitative approximation by nonlinear Angheluta-Choquet singular integrals, S. Gal, I. Iancu Infinitely homoclinic solutions in discrete hamiltonian systems without coercive conditions, F. Khelifi Comparison of some optimal derivative-free three-point iterations, T. Zhanlav, K. Otgondorj ------------------------------------------------------- End of Digest **************************