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NADIGEST  September 2022, Week 3

NADIGEST September 2022, Week 3


NA Digest, V. 22, # 30


"Dunlavy, Daniel" <[log in to unmask]>


NA-Digest <[log in to unmask]>


Mon, 19 Sep 2022 16:56:04 +0000





text/plain (681 lines)

Subject: NA Digest, V. 22, # 30

NA Digest  Monday, September 19, 2022  Volume 22 : Issue 30

Today's Editor:

        Daniel M. Dunlavy
        Sandia National Labs
        [log in to unmask]

Today's Topics:

        Call for Site Proposals, ICCOPT 2025
        Call for Nominations, BGCE Student Paper Prize
        New Book, Nature Inspired Methods for Optimization
        POEMs Workshop, Italy, Dec 2022
        Mathematics and Image Analysis (MIA), Germany, Feb 2023
        Nonlinear Model Reduction for Control, USA, May 2023
        Faculty Positions, Mathematics of Data/HPC, Virginia Tech
        Faculty and Postdoc Positions, Mathematics, Emory Univ
        Assistant Professor Position, Data Science/Statistics, Univ of Memphis
        Research Assistant Position, Stats/ML/Image Processing, WIAS
        Postdoc Position, NLP/ML, Tufts Univ
        Postdoc Position, Numerical Analysis, IMAG
        Postdoc Positions, Optimization, Univ of Graz, Austria
        PhD Position, CFD/Algorithm Dev, Aerodynamic Digital Twins
        PhD Position, Scalable Algorithms for AMR, Germany
        Prospective PhD Students Fair, UC Irvine/SDSU, Oct 2022
        Contents, Comm on Applied Mathematics and Computation, 4 (4)
        Contents, J. Numer. Anal. Approx. Theory 51 (1)

Subscribe, unsubscribe, change address, or for na-digest archives:

Submissions for NA Digest:


From: Mikhail Solodov [log in to unmask]
Date: September 18, 2022
Subject: Call for Site Proposals, ICCOPT 2025

The ICCOPT Steering Committee of the Mathematical Optimization Society
(MOS) is requesting proposals for organizing ICCOPT VIII, the 8th
International Conference on Continuous Optimization, which is
scheduled to be held in or around August 2025.  Being the flagship
conference of MOS in the area of continuous optimization, ICCOPT is
held every three years.

For further information, see

Submission deadline: 12:00 GMT, December 15, 2022 to the Chair of the
ICCOPT Steering Committee: Mikhail Solodov ([log in to unmask]).

Hosts of the candidate sites are encouraged to send an email as soon
as possible to the Committee Chair to indicate interest to submit a


From: Tobias Neckel [log in to unmask]
Date: September 14, 2022
Subject: Call for Nominations, BGCE Student Paper Prize

The 9th BGCE Student Paper Prize will be awarded at the 2023 SIAM CS&E
Conference, February 26 - March 3, for outstanding student work in the
field of Computational Science and Engineering.

Founder of the prize is the Bavarian Graduate School of Computational
Engineering (BGCE, ). The prize winner will be
invited to spend one week in Bavaria, Germany, visiting BGCE sites in
Erlangen and Munich. The main objective is to promote excellent
students in CS&E and to foster international exchange at an early
career stage. Eligible for the prize will be undergraduate and
graduate students prior to receiving their PhD (at date of

Candidates are required to summarize their work in a short 4-page
paper. The prize finalists will be asked to present their work at SIAM
CS&E 2023 at a special "CS&E Student Prize Minisymposium". The papers
and talks will be evaluated by an international prize
committee. Excluded from the competition are only students from our
own universities, FAU and TUM. Deadline for submissions to the BGCE
Student Paper Prize is December 4, 2022. Submissions should be sent in
pdf format via email with keyword "BGCE prize" in the subject to
[log in to unmask]

Since we are interested in a broad and high-level competition, as in
2007, 2009, 2011, 2013, 2015, 2017, 2019 and 2021, we ask you to
encourage suitable candidates to submit a paper and to support their
participation in SIAM CS&E 2023.

Please see for
further details.


From: Eric Fraga [log in to unmask]
Date: September 19, 2022
Subject: New Book, Nature Inspired Methods for Optimization

Nature inspired methods for optimization:
A Julia primer for process engineering

A new book on using Julia to implement and apply nature inspired
methods is now available. Both the web version (
and all the code are freely available. An ebook (PDF) is also
available for purchase from and a link is given in the web

Short description:

Nature inspired methods for optimization have been available for many
years. They are attractive because of their inspiration and because
they are comparatively easy to implement. This book aims to illustrate
this, using a relatively new language, Julia. Julia is a language
designed for efficiency.

The case studies, from industrial engineering with a focus on process
engineering, have been fully implemented within the book, bar one
example which uses external codes. All the code is available for
readers to try and adapt for their particular applications.

This book does not present state of the art research outcomes. It is
primarily intended to demonstrate that simple optimization methods are
able to solve complex problems in engineering. As such, the intended
audience will include students at the Masters or Doctoral level in a
wide range of research areas, not just engineering, and researchers or
industrial practitioners wishing to learn more about Julia and nature
inspired methods.


From: Michele Botti [log in to unmask]
Date: September 12, 2022
Subject: POEMs Workshop, Italy, Dec 2022

We would like to draw your attention to the Workshop POEMS22 that will
take place at the Politecnico di Milano on December 12th-14th, 2022.

The development and analysis of numerical methods for the
approximation of the solution to Partial Differential Equations (PDEs)
on polygonal and polyhedral meshes have undergone explosive interest
in recent years among the scientific community.  Indeed, polygonal and
polyhedral meshes offer a very flexible framework to handle, for
instance, hanging nodes, different cell shapes within the same mesh,
and non-matching interfaces, resulting thus in improved geometric
flexibility to correctly represent complicated geometries, interfaces,
and heterogeneous media.

This workshop aims to bring together experts in this field to discuss
the most recent developments and establish common grounds and shared
goals. For more information, visit the webpage

The event will be held in person. Participation is very welcome and
free of charge. However, for organizational reasons it is required to
register before October 15th, 2022.


From: Robert Beinert [log in to unmask]
Date: September 12, 2022
Subject: Mathematics and Image Analysis (MIA), Germany, Feb 2023

The next edition of the Mathematics and Image Analysis Conference
will be held in Berlin, Germany, February 1-3, 2023.  The conference
follows a series of very successful, established MIA conferences and
will address a wide range of topics like
- mathematics of novel imaging methods,
- inverse problems in imaging,
- mathematics of visualization,
- motion analysis,
- video processing,
- statistical and data science aspects in image processing,
- PDEs and variational methods in image processing, and
- deep and other machine learning methods in imaging.

Important Date: December 16, 2022 - registration deadline and poster
abstract submisstion deadline

Further information are available at


From: Boris Kramer [log in to unmask]
Date: September 16, 2022
Subject: Nonlinear Model Reduction for Control, USA, May 2023

We would like to invite you to participate in the "Conference and
workshop: Nonlinear model reduction for control" in Blacksburg, VA,
May 22-26, 2023. A tutorial-style workshop for junior researchers will
be held on Monday and Tuesday (22-23) followed by a 3-day conference
with state-of-the-art research talks. For more information, visit

The objectives of the conference will be to bring together leading
experts in nonlinear model reduction, control and tensor-based
computations to learn and advance the state-of-the-art and identify
challenges and opportunities in the field. The conference themes
revolve around nonlinear balanced truncation, Hamilton-Jacobi-Bellman
approaches to control and model reduction, interpolatory and
data-driven methods for nonlinear systems, proper orthogonal
decomposition for control, and tensor methods for scalable

The tutorial sessions for junior researchers will be delivered by
leading experts, covering the following topics: Tobias Breiten (TU
Berlin): nonlinear control and model reduction; Jeff Borggaard
(Virginia Tech): nonlinear balancing and nonlinear feedback control
software; Carmen Graessle (TU Braunschweig): nonlinear
control-oriented model reduction based on proper orthogonal
decomposition; Misha Kilmer (Tufts University): tensor computation;
Boris Kramer (UC San Diego): computation for nonlinear balancing;
Jacquelien Scherpen (University of Groningen): nonlinear balanced

During the conference portion, there will be three keynote
presentations by Carmen Graessle (TU Braunschweig); Jan Heiland (Max
Planck Institute for Dynamics of Complex Technical Systems and
Otto-von-Guericke University); and John Singler (Missouri University
of Science and Technology).

The deadline to submit abstracts for posters and contributed talks is
December 1, 2022. A limited number of travel awards will be offered to
early career researchers through an NSF-CMMI grant.

Please fill out the participation form at


From: Agnieszka Miedlar [log in to unmask]
Date: September 12, 2022
Subject: Faculty Positions, Mathematics of Data/HPC, Virginia Tech

The Virginia Tech Department of Mathematics anticipates two tenure-
track openings in Mathematics of Data and High Performance
Computational Mathematics with a start date of August 10, 2023, at our
Blacksburg, VA, campus.

The successful candidate will have a strong background in mathematics
of data, high performance computing, or their intersection. Possible
specialties include, but are not limited to, algorithms for
large-scale data, reduced-order data-driven modeling, model order
reduction, numerical linear algebra, randomized numerical linear
algebra, tensor computations, inverse problems, numerical PDE
modeling, PDE solvers, machine learning, optimization, or uncertainty
quantification. Application areas of interest include, but are not
limited to, geosciences, neuroscience, physics, biology, chemistry, or
economics. Appointment as an Assistant Professor of Mathematics is
anticipated, but exceptional senior candidates will be considered for
positions of Associate Professor of Mathematics or Professor of
Mathematics.  Teaching and service duties will be split between the
Mathematics Department and the Computational Modeling and Data
Analytics (CMDA) program. The CMDA program is a collaborative effort
involving faculty members from several departments, located in the
College of Science's Academy of Data Science
( The recently established Academy of
Data Science embodies Virginia Tech's commitment to its land-grant
mission of using leadership in teaching, research, and service to
address society's pressing problems.

An online application is required. To apply, please visit, select "Apply Now," and search by posting number
521837. Please include a cover letter, a CV, a research statement, a
teaching statement, and a diversity statement as part of the online
application.  Additionally, each applicant should follow the
instructions in the online application system to request that four
professional references submit letters of recommendation directly to
the Department of Mathematics.  Your references will receive a
communication that requests the submittal of the reference letter
directly to the department once your completed application has been
received. Additional information about position requirements and
responsibilities can be found at the following websites: and The faculty handbook
(at ) gives a complete
description of faculty responsibilities. The successful candidate will
be required to have a criminal conviction check.

Questions about the search may be addressed to
[log in to unmask] Applications received by November 1, 2022,
will receive full consideration.


From: Julianne Chung [log in to unmask]
Date: September 12, 2022
Subject: Faculty and Postdoc Positions, Mathematics, Emory Univ

The Department of Mathematics at Emory University seeks to expand and
diversify its faculty through an ambitious recruitment plan, which
includes open rank Tenure Track Faculty positions (Assistant,
Associate or Full Professor) in Computational Mathematics and Postdoc
Fellowship positions for an NSF funded Research Training Group in
Computational Mathematics for Data Science

For further details on these positions, including desired
qualifications and required application materials, please see:

Applications can be submitted using one of the following links:
TTF Position in Computational Math for AI:
RTG Postdoc Fellowship Position:

Screening of Applications will begin on November 1. Applications
received by December 1 will be given full consideration. Faculty
positions are expected to start on August 1, 2023. RTG Postdoc
positions can have a starting date of either January 1, 2023 or August
1, 2023.

Emory University is a top-ranked private institution recognized
internationally for its outstanding colleges, graduate and
professional schools, and one of the world's leading healthcare
systems. Emory scholars and experts generate more than $894 million in
research funding annually while also highly valuing excellence in
teaching.  Emory University is an equal employment opportunity and
affirmative action employer. Women, minorities, people with
disabilities, and veterans are strongly encouraged to apply.


From: E. Olusegun George [log in to unmask]
Date: September 11, 2022
Subject: Assistant Professor Position, Data Science/Statistics, Univ of Memphis

SCIENCES AND DATA SCIENCE, Department of Mathematical Sciences

The Department of Mathematical Sciences at the University of Memphis
anticipates hiring a tenure-track Assistant Professor in Statistics
and Data Science to begin in the January of 2023.  Applications are
invited from candidates with a PhD in Statistics and Data Science, or
related areas in Mathematical Sciences with research interests in
statistical analysis of complex, dependent high dimensional data and
the use of graph theory and combinatorics for high dimensional
statistical graphical networks. The successful candidate will
typically teach two courses per semester in subjects related to data
science, which include statistics, graph theory, or other related
fields.  The candidate will also be expected to conduct collaborative
research especially in the context of projects related to data science
and big data modeling and analysis. To apply, complete an application
at . Applicants will be
required to upload a cover letter, research and teaching statements,
curriculum vitae, and contact information for three letters of

The University of Memphis is an Equal Opportunity/Affirmative Action
Employer. We urge all qualified applicants to apply for this position.
Appointment will be based on qualifications as they relate to position
requirements without regard to race, color, national origin, religion,
age, sex, disability or veteran status. Successful candidates must
meet guidelines of the Immigration Reform and Control Act of 1986. For
any questions regarding this position, please contact the chair of the
search committee: Dr. E. O. George, email: [log in to unmask]


From: Heike Sill [log in to unmask]
Date: September 13, 2022
Subject: Research Assistant Position, Stats/ML/Image Processing, WIAS

WIAS invites applications for a Research Assistant Position (m/f/d)
(Ref. 22/31) in the Research Group "Stochastic Algorithms and
Nonparametric Statistics" (Head: Prof. Dr. Vladimir Spokoiny) starting
at earliest possible date.  The preconditions are a completed
scientific university education as well as a doctorate in the field of
mathematics.  Wanted: We are seeking outstanding scientists in a
research field in the field of statistics or machine learning. The
research area comprises the following topics among other: Image
processing and Statistical inverse problems

Very good English skills are still expected. International experience
is also advantageous.  Technical queries should be directed to
Prof. Dr. V. Spokoiny ([log in to unmask]).  The
position is remunerated according to TVoD and is limited to three
years. The work schedule is 39 hours per week, and the salary is
according to the German TVoeD scale.  The Institute aims to increase
the proportion of women in this field, so applications from women are
particularly welcome. Among equally qualified applicants, disabled
candidates will be given preference.

Please upload complete application documents curriculum vitae,
photocopies of certificates including a cover letter as soon as
possible via our online job-application facility using the button
"Apply online".  The advertisement is open with immediate effect and
will remain open until the position will be filled.

See here for more information:


From: Eric Lawrence Miller [log in to unmask]
Date: September 16, 2022
Subject: Postdoc Position, NLP/ML, Tufts Univ

Tufts University has an opening for a post-doctoral researcher to
engage in a cross-cutting project focusing on the development of and
use of Natural Language Processing (NLP) for social sciences
applications. Recent advances, starting with the now classical
word2vec approach to models built using attention and transformer
networks such as BERT and GTP3 have shown tremendous potential for
natural language modeling and automated interpretation. While most
applications currently focus on content generation, user interfaces
(chatbots), and understanding news content, this project aims to use
NLP as a major assistive technology to gain insights into student work
and understanding in STEM education systems. This presents novel
challenges, to interpret, for example, whether a student is arguing
from intuition or from formal principles, whether they are excited or
intimidated, whether they are uncertain or confident. The data may be
written work or audio-video streams of conversations, and analysis of
the latter may involve video processing of gestures and tone of
voice. This multi-modal analysis is the next frontier in NLP and will
require novel advances in both statistical machine learning and deep
learning architectures. This position provides a unique opportunity to
develop and collaborate with exclusive data sets, in research designed
to influence classroom teaching and impact.

Applicants must have a PhD in electrical engineering, computer
science, applied mathematics, statistics, or a similar field; a
background of research in the learning sciences would be helpful but
is not required The ideal candidates will have experience with and a
publication record in one or more of the following areas: modern
methods of statistical signal processing, machine learning,
optimization, or data science with applications to NLP. Programming
experience in Matlab or python is highly desired and preferred.

The post-doc will be jointly supervised by a team of faculty in
machine learning (Prof. Eric Miller, Prof. Shuchin Aeron) and by a
team of faculty in the learning sciences (Prof. Julia Gouvea,
Prof. David Hammer).

For more information about this position, please email Prof. Shuchin
Aeron ([log in to unmask]) Prof. Eric Miller
([log in to unmask]) and Prof. Bree Aldridge
([log in to unmask]). Interested candidates should provide
Prof. Miller with a copy of their CV, list of references, cover
letter, and copies of relevant articles, theses, technical reports


From: Daniele Di Pietro [log in to unmask]
Date: September 13, 2022
Subject: Postdoc Position, Numerical Analysis, IMAG

Institut Montpellierain Alexander Grothendieck is accepting
applications for a postdoctoral position in Numerical Analysis funded
by the I-Site MUSE project RHAMNUS. The postdoc is expected to work on
the application of Discrete de Rham methods to the incompressible
Navier-Stokes equations. Successful applicants for this position
should hold a PhD in Applied Mathematics (or equivalent), and have
extensive experience in the analysis and implementation of Finite
Element Methods for Partial Differential equations. For further
information, contact Daniele Di Pietro
([log in to unmask]).


From: Christian Clason [log in to unmask]
Date: September 16, 2022
Subject: Postdoc Positions, Optimization, Univ of Graz, Austria

The Institute of Mathematics and Scientific Computing of the
University of Graz, Austria, is currently offering two positions as
non-tenure track Assistant Professor (fixed term 6 years) in the group
of Prof. Christian Clason and is looking for motivated researchers
working in the fields of continuous, infinite-dimensional,
mathematical optimization, in particular nonsmooth, PDE-constrained,
and/or stochastic optimization. The position comes with a moderate
teaching load (4h/week).

Further details can be found in the official job postings:

As the university is committed to increasing diversity, suitable
applications from members of underrepresented groups are particularly
encouraged. In case of any questions, please contact .


From: Chris Toomer [log in to unmask]
Date: September 13, 2022
Subject: PhD Position, CFD/Algorithm Dev, Aerodynamic Digital Twins

An opportunity has arisen to apply for a funded full-time PhD at UWE
Bristol funded by the Empire Test Pilot School, QinetiQ:

The design and certification of new aircraft currently relies on a
significant period of flight testing. There is a need to reduce the
risks, flight time and costs of flight testing whilst using the
advances in simulation to substitute in part for flight testing. The
focus of the PhD is to reduce the reliance on flight data through
increased reliability of simulation data by developing new approaches
for data fusion and modelling, e.g. using state of the art CFD
software; combining multi-fidelity data; and applying semi-empirical
approaches, statistical algorithms and artificial intelligence. The
student would be involved in all aspects of the project.  For an
informal discussion about the studentship, please email Dr. Chris
Toomer at [log in to unmask]

The expected start date of this studentship is 1 January 2023
The closing date for applications is 9 October 2022
Ref 2223-JAN-FET18

The studentship is available from 1 January 2023 for a period of three
years, subject to satisfactory progress and includes a tax exempt
stipend, which is currently 16,062 GBP per annum. In addition,
full-time tuition fees will be covered for up to three years.

The studentship is eligible only for applicants from the UK and
European students. More details at:


From: Carsten Burstedde [log in to unmask]
Date: September 16, 2022
Subject: PhD Position, Scalable Algorithms for AMR, Germany

A PhD position is available immediately at the Institute for Numerical
Simulation (INS) at the University of Bonn, Germany.  The envisioned
research aims at developing new, scalable parallel algorithms for
adaptive mesh refinement using various shape primitives, such as
cubes, tetrahedra, prisms, and pyramids.  These algorithms shall be
prototyped, demonstrated, and released as part of the p4est and t8code
software libraries.  This particular project is collaborative with the
German Aerospace Center (DLR) with applications to atmosphere
simulations and numerical weather studies.

A successful candidate would present a Master's degree in Mathematics,
Computer Science, or a closely related field.  They should be familiar
with the basic theories on the numerical solution of partial
differential equations, skilled in the collaborative development of
open source scientific software, and ideally experienced in parallel
programming and computing.

The INS is part of Bonn Mathematics and covers research and teaching
of scientific computing, numerical simulation, and numerical analysis.
The PhD position will be embedded in the graduate school of the
Hausdorff Center for Mathematics (HCM), a stimulating research
environment and support structure.

If interested, please email Carsten Burstedde


From: Jose E Castillo [log in to unmask]
Date: September 13, 2022
Subject: Prospective PhD Students Fair, UC Irvine/SDSU, Oct 2022

UC Irvine - San Diego State University Joint Doctoral Program in
Computational Sciences Seeks Doctoral Students for Fall 2023

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. We have 20 positions available.
A virtual information session for the program will be held on October
13th, 2022 from 2:00 - 3:30 pm on Gather (  To
attend, please register using the link below. Link to the virtual
space will be sent only to registered participants 2 days before the
event. This will be a great opportunity to meet and interact with
current students in the program, potential faculty advisors and
program coordinators.


From: Communications on Applied Mathematics and Computation [log in to unmask]
Date: September 18, 2022
Subject: Contents, Comm on Applied Mathematics and Computation, 4 (4)

Communications on Applied Mathematics and
Computation, Volume 4, Number 4, December 2022

Parametric Regression Approach for Gompertz Survival Times with
Competing Risks, H. Rehman, N. Chandra

Optimized Runge-Kutta Methods with Automatic Step Size Control for
Compressible Computational Fluid Dynamics, Hendrik Ranocha, Lisandro
Dalcin, Matteo Parsani, David I.  Ketcheson

An Alternative to the Marshall-Olkin Family of Distributions:
Bootstrap, Regression and Applications, Christophe Chesneau, Kadir
Karakaya, Hassan S. Bakouch, Co_kun Ku_

T_M-Eigenvalues of Odd-Order Tensors, M. Pakmanesh, Hamidreza Afshin

Reconstruction of a Heat Equation from One Point Observations, H. Al
Attas, A. Boumenir

P-Bifurcation of Stochastic van der Pol Model as a Dynamical System in
Neuroscience, F. S. Mousavinejad, M. FatehiNia, A. Ebrahimi

Some Numerical Extrapolation Methods for the Fractional Sub-diffusion
Equation and Fractional Wave Equation Based on the L1 Formula, Ren-jun
Qi, Zhi-zhong Sun

A Stable Numerical Scheme Based on the Hybridized Discontinuous
Galerkin Method for the Ito-Type Coupled KdV System, Shima Baharlouei,
Reza Mokhtari, Nabi Chegini

A Mixed Finite-Element Method on Polytopal Mesh, Yanping Lin, Xiu Ye,
Shangyou Zhang

Linear-Quadratic Optimal Control Problems for Mean-Field Stochastic
Differential Equation with Levy Process, Hong Xiong, Maoning Tang,
Qingxin Meng

Space-Fractional Diffusion with Variable Order and Diffusivity:
Discretization and Direct Solution Strategies, Hasnaa Alzahrani,
George Turkiyyah, Omar Knio, David Keyes

Perturbation Analysis for t-Product-Based Tensor Inverse,
Moore-Penrose Inverse and Tensor System, Zhengbang Cao, Pengpeng Xie

Modeling Fast Diffusion Processes in Time Integration of Stiff
Stochastic Differential Equations, Xiaoying Han, Habib N. Najm

Dual Quaternions and Dual Quaternion Vectors, Liqun Qi, Chen Ling,
Hong Yan

Two Energy-Preserving Compact Finite Difference Schemes for the
Nonlinear Fourth-Order Wave Equation, Xiaoyi Liu, Tingchun Wang,
Shilong Jin, Qiaoqiao Xu

Dynamical Soliton Wave Structures of One-Dimensional Lie Subalgebras
via Group-Invariant Solutions of a Higher-Dimensional Soliton Equation
with Various Applications in Ocean Physics and Mechatronics
Engineering, Oke Davies Adeyemo, Chaudry Masood Khalique


From: JNAAT [log in to unmask]
Date: September 17, 2022
Subject: Contents, J. Numer. Anal. Approx. Theory 51 (1)

Journal of Numerical Analysis and Approximation Theory, included in
the Scopus database, celebrates its 50th anniversary

On the rate of convergence of modified alpha-Bernstein operators
based on q-integers, P. Agrawal, D. Kumar, B. Baxhaku

General multivariate arctangent function activated neural network
approximations, G.A. Anastassiou

A Baskakov-Kantorovich operators reproducing affine functions: inverse
results, J. Bustamante

A note on the unique solvability condition for generalized absolute value
matrix equation, S. Kumar, Deepmala

Basins of attraction for family of Popovski's methods and their extension
to multiple roots, B. Neta

Book reviews

End of Digest

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August 2020, Week 4
August 2020, Week 3
August 2020, Week 2
August 2020, Week 1
July 2020, Week 4
July 2020, Week 3
July 2020, Week 2
June 2020, Week 4
June 2020, Week 2
June 2020, Week 1
May 2020, Week 5
May 2020, Week 4
May 2020, Week 3
May 2020, Week 2
May 2020, Week 1
April 2020, Week 4
April 2020, Week 3
April 2020, Week 2
April 2020, Week 1
March 2020, Week 5
March 2020, Week 3
March 2020, Week 2
March 2020, Week 1
February 2020, Week 4
February 2020, Week 3
February 2020, Week 2
February 2020, Week 1
January 2020, Week 4
January 2020, Week 3
January 2020, Week 2
January 2020, Week 1
December 2019, Week 5
December 2019, Week 4
December 2019, Week 3
December 2019, Week 2
December 2019, Week 1
November 2019, Week 4
November 2019, Week 3
November 2019, Week 2
November 2019, Week 1
October 2019, Week 5
October 2019, Week 3
October 2019, Week 2
October 2019, Week 1
September 2019, Week 5
September 2019, Week 4
September 2019, Week 1
August 2019, Week 4
August 2019, Week 3
August 2019, Week 2
August 2019, Week 1
July 2019, Week 4
July 2019, Week 2
July 2019, Week 1
June 2019, Week 3
June 2019, Week 2
June 2019, Week 1
May 2019, Week 4
May 2019, Week 3
May 2019, Week 2
May 2019, Week 1
April 2019, Week 4
April 2019, Week 3
April 2019, Week 2
April 2019, Week 1
March 2019, Week 5
March 2019, Week 4
March 2019, Week 3
March 2019, Week 2
March 2019, Week 1
February 2019, Week 4
February 2019, Week 3
February 2019, Week 2
February 2019, Week 1
January 2019, Week 5
January 2019, Week 3
January 2019, Week 2
January 2019, Week 1
December 2018, Week 5
December 2018, Week 4
December 2018, Week 3
December 2018, Week 2
December 2018, Week 1
November 2018, Week 4
November 2018, Week 3
November 2018, Week 2
November 2018, Week 1
October 2018, Week 5
October 2018, Week 3
October 2018, Week 1
September 2018, Week 5
September 2018, Week 4
September 2018, Week 3
September 2018, Week 2
September 2018, Week 1
August 2018, Week 4
August 2018, Week 3
August 2018, Week 2
August 2018, Week 1
July 2018, Week 5
July 2018, Week 4
July 2018, Week 3
July 2018, Week 2
July 2018, Week 1
June 2018, Week 4
June 2018, Week 3
June 2018, Week 2
June 2018, Week 1
May 2018, Week 4
May 2018, Week 3
May 2018, Week 2
May 2018, Week 1
April 2018, Week 5
April 2018, Week 4
April 2018, Week 3
April 2018, Week 2
April 2018, Week 1
March 2018, Week 4
March 2018, Week 3
March 2018, Week 2
March 2018, Week 1
February 2018, Week 4
February 2018, Week 3
February 2018, Week 2
February 2018, Week 1
January 2018, Week 4
January 2018, Week 3
January 2018, Week 2
January 2018, Week 1
December 2017, Week 5
December 2017, Week 4
December 2017, Week 3
December 2017, Week 2
November 2017, Week 4
November 2017, Week 1
October 2017, Week 4
October 2017, Week 3
October 2017, Week 1
September 2017, Week 4
September 2017, Week 3
September 2017, Week 2
September 2017, Week 1
August 2017, Week 4
August 2017, Week 3
July 2017, Week 2
July 2017, Week 1
June 2017, Week 4
June 2017, Week 2
June 2017, Week 1
May 2017, Week 4
May 2017, Week 3
May 2017, Week 2
May 2017, Week 1
April 2017, Week 4
March 2017, Week 4
March 2017, Week 2
March 2017, Week 1
February 2017, Week 4
February 2017, Week 2
February 2017, Week 1
January 2017, Week 3
January 2017, Week 2
December 2016, Week 5
December 2016, Week 3
December 2016, Week 2
December 2016, Week 1
November 2016, Week 3
November 2016, Week 2
November 2016, Week 1
October 2016, Week 4
October 2016, Week 3
October 2016, Week 2
October 2016, Week 1
September 2016, Week 4
September 2016, Week 3
September 2016, Week 2
September 2016, Week 1
August 2016, Week 5
August 2016, Week 4
August 2016, Week 2
August 2016, Week 1
July 2016, Week 4
July 2016, Week 3
July 2016, Week 1
June 2016, Week 4
June 2016, Week 3
June 2016, Week 1
May 2016, Week 5
May 2016, Week 4
May 2016, Week 3
May 2016, Week 2
May 2016, Week 1
April 2016, Week 4
April 2016, Week 3
April 2016, Week 2
April 2016, Week 1
March 2016, Week 5
March 2016, Week 4
March 2016, Week 2
March 2016, Week 1
February 2016, Week 5
February 2016, Week 3
February 2016, Week 1
January 2016, Week 5
January 2016, Week 4
January 2016, Week 3
January 2016, Week 2
January 2016, Week 1
December 2015, Week 5
December 2015, Week 2
November 2015, Week 5
November 2015, Week 4
November 2015, Week 3
November 2015, Week 1
October 2015, Week 4
October 2015, Week 3
October 2015, Week 2
September 2015, Week 5
September 2015, Week 4
September 2015, Week 2
September 2015, Week 1
August 2015, Week 4
August 2015, Week 2
July 2015, Week 5
July 2015, Week 3
July 2015, Week 2
June 2015, Week 5
June 2015, Week 4
June 2015, Week 3
June 2015, Week 2
June 2015, Week 1
May 2015, Week 4
May 2015, Week 3
May 2015, Week 2
May 2015, Week 1
April 2015, Week 4
April 2015, Week 2
April 2015, Week 1
March 2015, Week 5
March 2015, Week 4
March 2015, Week 3
March 2015, Week 2
March 2015, Week 1
February 2015, Week 4
February 2015, Week 3
February 2015, Week 2
February 2015, Week 1
January 2015, Week 4
January 2015, Week 3
January 2015, Week 1
December 2014, Week 5
December 2014, Week 4
December 2014, Week 3
December 2014, Week 2
December 2014, Week 1
November 2014, Week 4
November 2014, Week 3
November 2014, Week 2
October 2014, Week 5
October 2014, Week 4
October 2014, Week 3
October 2014, Week 2
October 2014, Week 1
September 2014, Week 4
September 2014, Week 3
September 2014, Week 2
September 2014, Week 1
August 2014, Week 4
August 2014, Week 3
August 2014, Week 2
August 2014, Week 1
July 2014, Week 5
July 2014, Week 3
July 2014, Week 2
June 2014, Week 5
June 2014, Week 4
June 2014, Week 3
June 2014, Week 2
June 2014, Week 1
May 2014, Week 4
May 2014, Week 3
May 2014, Week 2
May 2014, Week 1
April 2014, Week 4
April 2014, Week 3
April 2014, Week 2
April 2014, Week 1
March 2014, Week 5
March 2014, Week 4
March 2014, Week 3
February 2014, Week 3
February 2014, Week 1
January 2014, Week 3
January 2014, Week 1
December 2013, Week 3
December 2013, Week 2
December 2013, Week 1
November 2013, Week 4
November 2013, Week 3
November 2013, Week 2
November 2013, Week 1
October 2013, Week 4
October 2013, Week 2
October 2013, Week 1
September 2013, Week 4
September 2013, Week 3
September 2013, Week 2
August 2013, Week 4
August 2013, Week 3
July 2013, Week 5



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