[External Email]

Today's Editor:

Daniel M. Dunlavy

Sandia National Labs

dmdunla@sandia.gov

- 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)

From: Kamryn Scrivens scrivens@siam.org

Date: December 30, 2020

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 nicolas.gillis@umons.ac.be

Date: December 30, 2020

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 scrivens@siam.org

Date: December 30, 2020

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 dominik.bartuschat@cs.fau.de

Date: December 29, 2020

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 Y=C3=BCcel yucelh@metu.edu.tr

Date: January 03, 2021

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 n.polydorides@ed.ac.uk

Date: January 02, 2021

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 n.polydorides@ed.ac.uk.

From: Wim Michiels Wim.Michiels@cs.kuleuven.be

Date: January 02, 2021

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 armin.iske@uni-hamburg.de

Date: December 29, 2020

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 armin.iske@uni-hamburg.de

Date: December 29, 2020

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-person=

al/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 cmam@degruyter.com

Date: December 28, 2020

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 Constructive.Approximation@vanderbilt.edu

Date: January 03, 2021

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 badih@future-in-tech.net

Date: December 30, 2020

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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