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NADIGEST  January 2021, Week 1

NADIGEST January 2021, Week 1

Subject:

NA Digest, V. 21, # 1

From:

NA Digest Editor <[log in to unmask]>

Reply-To:

NA-Digest <[log in to unmask]>

Date:

Tue, 5 Jan 2021 09:34:02 -0700

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (510 lines)

[External Email]

Subject: NA Digest, V. 21, # 1

NA Digest Tuesday, January 05, 2021 Volume 21 : Issue 1

Today's Editor:

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

Today's Topics:

        New Book, Mathematics of Data Science
        New Book, Nonnegative Matrix Factorization
        New Book, Numerical Homogenization by Localized Decomposition
        Advances in HPC Earth Sciences, Poland, Jun 2021
        Faculty Position, Institute of Applied Mathematics, METU
        PhD Position, Online Learning, Univ of Edinburgh
        PhD Position, KU Leuven
        PhD Position, Numerical Approximation, Hamburg, Germany
        PhD Positions, Optimization, Hamburg, Germany
        Contents, Computational Methods in Applied Mathematics, 2020 (4)
        Contents, Constructive Approximation, 52 (3)
        Contents, Mathematics and Computer Science, 16 (2)

Subscribe, unsubscribe, change address, or for na-digest archives:
        http://www.netlib.org/na-digest-html/faq.html

Submissions for NA Digest:
        http://icl.utk.edu/na-digest/

-------------------------------------------------------

From: Kamryn Scrivens [log in to unmask]
Date: December 30, 2020
Subject: New Book, Mathematics of Data Science

Check out SIAM's book, Mathematics of Data Science: A Computational
Approach to Clustering and Classification by Daniela Calvetti and
Erkki Somersalo. https://bookstore.siam.org/DI01

Mathematics of Data Science: A Computational Approach to Clustering
and Classification
- proposes different ways of visualizing high-dimensional data to
  unveil hidden internal structures, and
- includes graphical explanations and computed examples using publicly
  available data sets in nearly every chapter to highlight
  similarities and differences among the algorithms.

2020/ x + 189 pages/Softcover/ ISBN: 978-1-611976-36-6
Order code: DI01
List Price: $64.00
SIAM Member Price: $44.80
Link to the book: https://bookstore.siam.org/DI01
Browse more SIAM books by visiting: https://bookstore.siam.org

-------------------------------------------------------

From: Nicolas Gillis [log in to unmask]
Date: December 30, 2020
Subject: New Book, Nonnegative Matrix Factorization

Nonnegative matrix factorization (NMF) in its modern form has become a
standard tool in the analysis of high-dimensional data sets. This book
provides a comprehensive and up-todate account of the most important
aspects of the NMF problem and is the first to detail its theoretical
aspects, including geometric interpretation, nonnegative rank,
complexity, and uniqueness. It explains why understanding these
theoretical insights is key to using this computational tool
effectively and meaningfully.

Nonnegative Matrix Factorization
- is accessible to a wide audience and is ideal for anyone interested
  in the workings of NMF,
- discusses some new results on the nonnegative rank and the
  identifiability of NMF, and
- makes available MATLAB codes for readers to run the numerical
  examples presented in the book.

For more information; see
https://sites.google.com/site/nicolasgillis/book.

Nonnegative Matrix Factorization, Nicolas Gillis, SIAM, 2020,
https://doi.org/10.1137/1.9781611976410.


-------------------------------------------------------

From: Kamryn Scrivens [log in to unmask]
Date: December 30, 2020
Subject: New Book, Numerical Homogenization by Localized Decomposition

Check out SIAM's book, Numerical Homogenization by Localized
Decomposition by Axel Malqvist and Daniel Peterseim.
https://bookstore.siam.org/SL05

This book presents the first survey of the Localized Orthogonal
Decomposition (LOD) method, a pioneering approach for the numerical
homogenization of partial differential equations with multiscale data
beyond periodicity and scale separation. The authors
- provide a careful error analysis, including previously unpublished
  results,
- present a complete implementation of the LOD method in MATLAB, and
- reveal how the LOD method relates to classical homogenization and
  domain decomposition.

2020/ xii + 108 pages/Softcover/ ISBN: 978-1-611976-44-1
Order code: SL05
List Price: $44.00
SIAM Member Price: $30.80
Link to the book: https://bookstore.siam.org/SL05
Browse more SIAM books by visiting: https://bookstore.siam.org


-------------------------------------------------------

From: Dominik Bartuschat [log in to unmask]
Date: December 29, 2020
Subject: Advances in HPC Earth Sciences, Poland, Jun 2021

IHPCES 2021, the 11th workshop in the series of "Advances in
High-Performance Computational Earth Sciences" workshops,
will take place in conjunction with the ICCS 2021 Conference
in Krakow, Poland, from June 16-18, 2021.
https://www.cspp.cc.u-tokyo.ac.jp/IHPCES2021/

The objective of this series of workshops is to provide a forum for
presentation and discussion of state-of-the-art research in high
performance computational earth sciences. IHPCES workshops foster
communication between Earth scientists, applied mathematicians, and
computer scientists. The workshop therefore presents a unique
opportunity to exchange advanced knowledge, computational methods, and
science discoveries in computational geosciences. Specific topics of
interest include, but are not limited to: Large-scale simulations on
supercomputing systems in earth sciences; Advanced modeling and
simulations on natural disaster prevention and mitigation; Advanced
numerical methods for high performance computational earth sciences;
Parallel and distributed algorithms and programming strategies for
supercomputers; Software engineering for parallel systems with
multi-core processors and accelerators; Algorithms for Big Data
analytics and applications for large-scale data processing;
Methodologies and tools designed for extreme-scale computing.

Important dates:
January 15, 2021 Paper Submission Due
March 15, 2021 Author Notification
April 5, 2021 Camera-Ready Papers Due


-------------------------------------------------------

From: Hamdullah YĆ¼cel [log in to unmask]
Date: January 03, 2021
Subject: Faculty Position, Institute of Applied Mathematics, METU

The Institute of Applied Mathematics (IAM), Middle East Technical
University (METU) offers several academic positions on each programme
for academic year 2021. To this aim, we invite all scholars who are
interested in full-time faculty positions starting from Assistant
Professor level based on the academic profile of the applicant. We
encourage you to send us your information if you have a solid research
history with a strong publication record in one of the prioritized
areas of the departments/programs in IAM:

- Actuarial Science: Life and Non-Life Insurance Mathematics, Pension
  Fund Mathematics, Asset Liability Management, Solvency and Internal
  Modeling
- Cryptography: All areas of Cryptography
- Financial Mathematics: Stochastic Control, Quantitative Finance
- Scientific Computing: High Performance Computing, Numerical Linear
  Algebra, Mathematical Modelling with Multidisciplinary Applications,
  and Data Science/Data-Driven Modelling.

For more details, please see:
http://iam.metu.edu.tr/open-faculty-positions

Application Deadline: February 15, 2021.

-------------------------------------------------------

From: Nick Polydorides [log in to unmask]
Date: January 02, 2021
Subject: PhD Position, Online Learning, Univ of Edinburgh

Funding, including fees + stipend, is available for UK or EU students
who want to pursue PhD studies in machine learning and randomised
algorithms for scientific computing. The focus of this project is to
look into portable, dimension independent computing that can
accommodate situations where resources are limited, e.g. edge
computing, federated learning or processing streaming data.

The position is suitable to candidates with a first degree and ideally
a Masters in applied mathematics or statistics including data science.
Knowledge of fundamental machine learning and linear algebra is a
plus. Enquiries can be made by email to [log in to unmask]

-------------------------------------------------------

From: Wim Michiels [log in to unmask]
Date: January 02, 2021
Subject: PhD Position, KU Leuven

PhD position on "Control oriented analysis of linear periodic
delay-differential algebraic equations"

Delay-differential algebraic equations (DDAEs) naturally appear in
mathematical models for dynamical systems. A systematic description of
the components of the system and their interconnections leads to a
combination of differential equations and algebraic constraints, while
the delays model the inherent time-lags in the interconnections. The
analysis of systems described by DDAEs is challenging due to the
interplay between the implicit system description and the
infinite-dimensional dynamics

The project aims at the construction of an overarching mathematical
framework for the analysis of linear time-invariant and time-periodic
DDAEs. First, the basic theory will be addressed, contributing to
stability and Floquet theory, and to perturbation theory. Second,
analysis methods and computational tools will be constructed to assess
and optimize the robustness of the stationary solution. Distinct
features in the methodology are the role of duality, in a system
theoretic sense, and connections with nonlinear eigenvalue
problems. In order to reach the objectives, the theories of
differential equations, matrix distance problems, algebraic decision
problems, and robust control approaches will be integrated.

The ideal candidate has a MSc degree in mathematics (pure, applied,
computational), mathematical engineering, or control engineering (with
a strong interest in systems theory). We offer a fully funded PhD
position in an international context at the Numerical Analysis and
Applied Mathematics section of KU Leuven, a top university and hub for
interdisciplinary research in the fields of Applied Mathematics and
Systems & Control.

More information and application instructions can be found at
https://www.kuleuven.be/personeel/jobsite/jobs/56124430


-------------------------------------------------------

From: Armin Iske [log in to unmask]
Date: December 29, 2020
Subject: PhD Position, Numerical Approximation, Hamburg, Germany

The Collaborative Research Center (DFG-TRR181) "Energy Transfers in
Atmosphere and Ocean" invites applications for one research associate
(PhD student) in its project M5, within the research area M:
"Mathematics, new concepts and methods". The position may be filled
from February 1, 2021, or later. The salary is in accordance with the
German public service at salary level E13 TV-L, with 75% of the
standard working hours per week. The position is on a fixed-term
contract up until June 30, 2024.

We are looking for a highly motivated team player, who has a sound
background in numerical approximation, where preference will be given
to a candidate whose research focus is related to the mathematical
topics of project M5,
cf. https://www.trr-energytransfers.de/research/area-m/m5.

Applicants are requested to follow the instructions in the job
announcement
https://www.uni-hamburg.de/uhh/stellenangebote/wissenschaftliches-personal/fakultaet-
mathematik-informatik-und-naturwissenschaften/15-01-21-545-en.pdf.


-------------------------------------------------------

From: Armin Iske [log in to unmask]
Date: December 29, 2020
Subject: PhD Positions, Optimization, Hamburg, Germany

The Hamburg Research Training Group (RTG2583) "Modeling, Simulation
and Optimization of Fluid Dynamic Applications" invites applications
for two research associates (PhD students) in the area of
Optimization, where the positions may be filled from February 1, 2021,
or later. The salary is in accordance with the German public service
at salary level E13 TV-L, with 75% of the standard working hours per
week. The positions are on fixed-term contracts for a period of three
years.

We are looking for highly motivated team players, who have a sound
background in applied mathematics, with expertise in the RTG's
research area of Optimization, in particular for the topics of the PhD
projects O1 and O3. For details concerning the RTG's research profile,
please refer to the website
https://www.c3s.uni-hamburg.de/rtg2583.html.

Applicants are requested to follow the instructions in the job
announcement
https://www.uni-hamburg.de/en/uhh/stellenangebote/wissenschaftliches-personal/04-01-
21-504-en.pdf
especially for the required application material.

The job announcement will be open until all PhD positions are filled,
but the next round of decisions will be made in January 2021.


-------------------------------------------------------

From: Computational methods in applied mathematics [log in to unmask]
Date: December 28, 2020
Subject: Contents, Computational Methods in Applied Mathematics, 2020 (4)

Computational methods in applied mathematics (2020), No 4

Contains Special Issue Articles Dedicated to the Memory of Academician
Alexander Samarskii, Guest Editors: Raytcho Lazarov, Piotr Matus, and
Petr Vabishchevich

Editorial: Modern Problems of Numerical Analysis. On the Centenary of
the Birth of Alexander Andreevich Samarskii. Raytcho Lazarov, Piotr
Matus, and Petr Vabishchevich

Special issue articles

Finite Difference Approximation of a Generalized Time-Fractional
Telegraph Equation, Aleksandra Delic, Bosko S. Jovanovic, and Sandra
Zivanovic

Weighted Estimates for Boundary Value Problems with Fractional
Derivatives, Ivan P. Gavrilyuk, Volodymyr L. Makarov, and Nataliya
V. Mayko

Lagrangian Mixed Finite Element Methods for Nonlinear Thin Shell
Problems, Mikhail M. Karchevsky

Reliable Computer Simulation Methods for Electrostatic Biomolecular
Models Based on the Poisson-Boltzmann Equation, Johannes Kraus,
Svetoslav Nakov, and Sergey Repin

Adaptive Space-Time Finite Element Methods for Non-autonomous
Parabolic Problems with Distributional Sources, Ulrich Langer and
Andreas Schafelner

On Convergence of Difference Schemes for Dirichlet IBVP for Two-
Dimensional Quasilinear Parabolic Equations with Mixed Derivatives and
Generalized Solutions, Piotr Matus, Dmitriy Poliakov, and Le Minh Hieu

Difference Schemes on Uniform Grids for an Initial-Boundary Value
Problem for a Singularly Perturbed Parabolic Convection-Diffusion
Equation, Grigorii I. Shishkin and Lidia P. Shishkina

A Finite Element Splitting Method for a Convection-Diffusion Problem,
Vidar Thomee

Incomplete Iterative Implicit Schemes, Petr N. Vabishchevich

Explicit Runge-Kutta Methods Combined with Advanced Versions of the
Richardson Extrapolation, Zahari Zlatev, Ivan Dimov, Istvan Farago,
Krassimir Georgiev, and Agnes Havasi

Regular research articles

A General Superapproximation Result, Susanne C. Brenner

A First-Order Explicit-Implicit Splitting Method for a
Convection-Diffusion Problem, Amiya K. Pani, Vidar Thomee, and
A.S. Vasudeva Murthy

A Factorization of Least-Squares Projection Schemes for Ill-Posed
Problems, Shukai Du and Nailin Du

A New Mixed Functional-probabilistic Approach for Finite Element
Accuracy, Joel Chaskalovic and Franck Assous

Error Analysis of a Finite Difference Method on Graded Meshes for a
Multiterm Time-Fractional Initial-Boundary Value Problem, Chaobao
Huang, Xiaohui Liu, Xiangyun Meng, and Martin Stynes

A Finite Element Method for Elliptic Dirichlet Boundary Control
Problems, Michael Karkulik


-------------------------------------------------------

From: Ed Saff [log in to unmask]
Date: January 03, 2021
Subject: Contents, Constructive Approximation, 52 (3)

Constructive Approximation
Volume 52, Issue 3, December 2020
Table of Contents
http://link.springer.com/journal/365

Further Strengthening of Rolle's theorem for complex polynomials,
Blagovest Sendov and Hristo Sendov

Hermite-Poulain Theorems for Linear Finite Difference Operators, Olga
Katkova, Mikhail Tyaglov, and Anna Vishnyakova

Intertwining Operators Associated with Dihedral Groups, Yuan Xu

Korovkin-Type Results on Convergence of Sequences of Positive Linear
Maps on Function Spaces, Maliheh Hosseini and Juan J. Font

Manifold Approximation by Moving Least-Squares Projection (MMLS),
Barak Sober and David Levin

Variable Besov Spaces Associated with Heat Kernels, Ciqiang Zhuo and
Dachun Yang


-------------------------------------------------------

From: Badih Ghusayni [log in to unmask]
Date: December 30, 2020
Subject: Contents, Mathematics and Computer Science, 16 (2)

Contents of Volume 16, no. 2 of the International Journal of
Mathematics and Computer Science.

The following paper can be downloaded freely by clicking on them via
http://ijmcs.future-in-tech.net/Volume16.2.htm

1) O. A. Fadipe-Joseph, M. O. Oluwayemi, Sufficient conditions for
   class

2) Hatice Yalman Kosunalp, Mustafa Gulsu, Operational Matrix by
   Hermite Polynomials for Solving Nonlinear Riccati Differential
   Equations

3) Fuad A. Abushaheen, On Different Types of Monotonically -Spaces in
   Generalized Topological Spaces

4) Napassanan Srisarakham, A family of modified Chebyshev-Halley
   iterative methods with two parameters for nonlinear equations

5) Pitipong Aroonruviwat, Utsanee Leerawat, On outer (sigma,tau)-n-
   derivations and commutativity in prime near-rings

6) Muna Jaffer Al-Shamdeen, Ansam Nazar Younis, Hiba Adreese Younis,
   Metaheuristic algorithm for Capital Letters Images Recognition

7) Areerak Chaiworn, Positive Weighted Composition Operators on the
   Fock space

8) Daya K. Nagar, Edwin Zarrazola, Percentage points for testing
   homogeneity of covariance matrices of several bivariate Gaussian
   populations

9) Carl E. Langenhop, Richard C. Detmer, On p series

10) Amal Aloui, Mustapha Rachidi, On a numerical approach for the
    powers of the doubly Leslie and doubly companion matrices with
    applications

11) A. Alrawajfeh, B. Al-Hasanat, H. Alhasanat, F. AlFaqih, On the
    edge irregularity strength of bipartite graph and corona product
    of two graphs

12) A. Ali, M. Magarini, N. Pirzada, M. A. Panhwar, A. Ahmed,
    Direction of Arrival and Least Square Error Technique used in
    Massive MIMO for Channel Estimation

13) Warud Nakkhasen, Neutrosophic N-ideals in Ternary Semigroups

14) Madhumala RB, H. Tiwari, C. Devarajaverma, A Reliable Frame Work
    for Virtual Machine Selection in Cloud Datacenter Using Particle
    Swarm Optimization

15) Hanadi Zahed, Existence investigation of a fourth order
    semi-linear weighted Problem

16) Shatha A. Salman, On the number of lattice points in n-dimensional
    space with an application

17) Mohammed S. Zabiba, Sarhan Falah, Numerical Solution of Backward
    Fuzzy SDEs with Time Delayed Coefficient

18) Derrick DeMars, Peter Johnson, A Mixed Ramsey Problem Revisited

19) G. Muhiuddin, D. Al-Kadi, Hybrid Quasi-associative ideals in BCI-
    algebras

20) Utsanee Leerawat, Sitanan Khun-in, On Trace of Symmetric Bi-
    derivations on Rings

21) Melek Gozen, Cemil Tunc, A new result on the exponential stability
    of solutions of non-linear neutral type periodic systems with
    variable delay

22) Rami AlAhmad, Grunwald-Leitnikov fractional derivative for a
    product of two functions

23) Maryam Alami Chentoufi, Rachid Ellaia, A novel multiobjective
    Passing Vehicle Search algorithm for signal timing optimization

24) Shahbaz Ali, Muhammad Khalid Mahmood, A Paradigmatic Approach to
    Investigate Restricted Totient Graphs and their Indices

25) W. Krailoet, A. Simuen, R. Chinram, P. Petchkaew, A Note on Fuzzy
    Almost Interior Ideals in Semigroups

26) Wasim Audeh, Norm inequalities and applications

27) R. M. Patne, G. R. Avachar, Drawing of a graph on a surface

28) A. Riyas, P. U. Anusha, K. Geetha, On Cayley Graphs of Rees Matrix
    Semigroups Relative to Green's Equivalence L-Class

29) M. A. Bakar, A. Juliansyah, R. Thalib, D. A. Pratama, High
    Performances of Stabilized Lanczos-Types for Solving High
    Dimension Problems: A Survey

-------------------------------------------------------
End of Digest
**************************

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January 2016, Week 4
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January 2016, Week 1
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December 2014, Week 5
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January 2014, Week 1
December 2013, Week 3
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