NA Digest, V. 24, # 9

NA Digest Tuesday, June 04, 2024 Volume 24 : Issue 9


Today's Editor:

Daniel M. Dunlavy
Sandia National Labs
dmdunla@sandia.gov

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

Submissions for NA Digest:

https://nadigest.icl.utk.edu/


From: Beauzamy bernard.beauzamy@scmsa.com
Date: May 29, 2024
Subject: New Book, Archimedes works


A new edition of Archimedes works is now available, in French ; please
see: https://www.scmsa.eu/livres/SCM_ARCH_order.htm



From: Bart De Moor bart.demoor@kuleuven.be
Date: June 03, 2024
Subject: Subspace Based Model Identification, ONLINE, Jun 2024


he next seminar in our 2023-2024 series, organized by Prof. Dr. Bart
De Moor (KU Leuven, ESAT-STADIUS) and centered around the themes of
his ERC project "Back to the roots of data-driven dynamical system
identification", will be delivered by Prof. Guillaume Mercere.

Guillaume Mercere, University of Poitiers, France
Revisiting gray box model learning and Kalman filtering with subspace
based model identification
11 June, 5pm
KU Leuven, Thermotechnisch Instituut
Aula van de Tweede Hoofdwet (01.02)

Abstract: In numerous industrial projects, engineers face the crucial
task of extracting physical parameters and signals from real-world
data. When employing gray box state space model learning, a key
challenge lies in generating reliable initial estimates to ensure
convergence towards precise parameter values. Similarly, in utilizing
Kalman filtering for signal reconstruction, a common obstacle is
selecting reliable covariance matrices to attain accurate
estimates. This presentation delves into how subspace-based model
identification can effectively address these challenges. These
solutions, relying solely on linear algebra, center on determining the
similarity transformation between various state space
realizations. Through both simulated and real data demonstrations, we
illustrate the efficacy of these approaches. Everyone is welcome to
attend in person.

The presentation will be streamed and can be followed by using this
link: https://eu.bbcollab.com/guest/6c0b700cbe744161975e8cce8ed0c9cb

The slides and recordings of the previous seminars are available on
our website.


From: Dr. Kevin-Martin Aigner kevin-martin.aigner@fau.de
Date: May 31, 2024
Subject: Mathematics of Gas Transport and Energy, Germany, Oct 2024


We are pleased to announce the fourth edition of the international
conference "Mathematics of Gas Transport and Energy MOG 2024" on
October, the 10th and 11th, 2024, in Regensburg, Germany.

The two-day conference aims at connecting leading experts in applied
mathematics with leading stakeholders from the industry and the public
sector that are concerned with the transition of the energy system. It
aims at stimulating fruitful discussions between academic partners and
representatives from other sectors on today's broad challenges in the
energy sector, taking into account the transition from natural gas to
hydrogen networks, its coupling with electricity, and related topics.

More information and registration (until 15 July 2024) is available
under https://www.trr154.fau.de/mog2024/.

The conference is organized by the German Collaborative Research
Center TRR154 ("Mathematical Modelling, Simulation and Optimization
using the Example of Gas Networks") funded by the German Science
foundation, see https://www.trr154.fau.de/trr-154-en/

For earlier editions of the conference, see
https://mog2.zib.de/index.html and
https://www.trr154.fau.de/trends-in-mathematical-modelling-simulation-and-optimisation/
(organized together with the Marie-Curie ITN MINOA and the ADA
Lovelace Center)



From: HiPC 2024 Publicity Chairs hipc-publicity@hipc.org
Date: June 04, 2024
Subject: IEEE High Performance Computing, India, Dec 2024


HiPC 2024 CALL FOR PAPERS
31st IEEE International Conference on High Performance Computing,
Data, and Analytics
18-21 December 2024 in Bangalore, India

HiPC 2024 is the 31 edition of the IEEE International Conference on
High Performance Computing, Data, and Analytics. HiPC serves as a
forum to present current work by researchers from around the world as
well as highlight activities in Asia in the areas of high performance
computing and data science. The meeting focuses on all aspects of high
performance computing systems, and data science and analytics, and
their scientific, engineering, and commercial applications. HiPC 2024
will also explore programs that expand and enrich the conference
offerings, including workshops, tutorials, Birds-of-a-Feather
meetings, Student Research Symposium, and industrial sessions, which
provide increased professional opportunities to conference attendees.
Authors are invited to submit original unpublished research
manuscripts that demonstrate current research in all areas of high
performance computing, and data science and analytics, covering all
traditional areas and emerging topics including from machine learning,
big data analytics. Each submission should be submitted to one of the
six tracks listed under the two broad themes of High Performance
Computing and Data Science. Please see https://www.hipc.org/papers/
for more details. Up to two best paper awards will be given to
outstanding contributed papers. Authors of selected high quality
papers in HiPC 2024 will be invited to submit extended versions of
their papers for possible publication in a special issue of the
Journal of Parallel and Distributed Computing (JPDC).

Important Deadlines:
Abstract Submission: June 19, 2024 (Wednesday)
Paper Submission (double-blind): June 26, 2024 (Wednesday)
Reviews to Authors: August 22, 2024 (Thursday)
Rebuttal Period: August 22-27, 2024 (Thursday to Tuesday)
Author Notification: September 13, 2024 (Friday)
Shepherded Paper Submission: September 27, 2024 (Friday)
Final Author Notification: October 5, 2024 (Friday)

Submit your paper: https://ssl.linklings.net/conferences/HiPC/

Questions may be sent to pc2024@hipc.org


From: Valeria Simoncini valeria.simoncini@unibo.it
Date: June 03, 2024
Subject: PhD Positions, FutureData4EU, Italy


A Call for multiple 3-year PhD positions within the European Marie
Curie (MSCA) COFUND project

FutureData4EU
"Training Future Big Data Experts for Europe"

as part of the Emilia-Romagna University Network is now open (until
June 28, 2024).

More information at https://site.unibo.it/futuredata4eu/en



From: Communications on Applied Mathematics and Computation camc@oa.shu.edu.cn
Date: June 04, 2024
Subject: Contents, Commun Appl Math Comput, 6 (2)


Communications on Applied Mathematics and Computation,
Volume 6, Number 2, June 2024
https://www.springer.com/journal/42967

Focused Issue in Honor of Prof. Stanley Osher on His 80th Birthday

Preface
Andrea Bertozzi, Ron Fedkiw, Frederic Gibou, Chiu-Yen Kao, Chi-Wang
Shu, Richard Tsai, Wotao Yin & Hong-Kai Zhao

ORIGINAL PAPERS

A Dynamical System-Based Framework for Dimension Reduction,
Ryeongkyung Yoon & Braxton Osting

Global Solutions to Nonconvex Problems by Evolution of Hamilton-
Jacobi PDEs, Howard Heaton, Samy Wu Fung & Stanley Osher

Iterative Subregion Correction Preconditioners with Adaptive Tolerance
for Problems with Geometrically Localized Stiffness, Michael Franco,
Per-Olof Persson & Will Pazner

Deep Energies for Estimating Three-Dimensional Facial Pose and
Expression, Jane Wu, Michael Bao, Xinwei Yao & Ronald Fedkiw

REVIEW ARTICLE

Exponentially Convergent Multiscale Finite Element Method, Yifan Chen,
Thomas Y. Hou & Yixuan Wang

ORIGINAL PAPERS

SRMD: Sparse Random Mode Decomposition, Nicholas Richardson, Hayden
Schaeffer & Giang Tran

Efficient Finite Difference WENO Scheme for Hyperbolic Systems with
Non-conservative Products, Dinshaw S. Balsara, Deepak Bhoriya,
Chi-Wang Shu & Harish Kumar

An Arbitrarily High Order and Asymptotic Preserving Kinetic Scheme in
Compressible Fluid Dynamic, Remi Abgrall & Fatemeh Nassajian Mojarrad

A Stable FE-FD Method for Anisotropic Parabolic PDEs with Moving
Interfaces, Baiying Dong, Zhilin Li & Juan Ruiz-Alvarez

REVIEW ARTICLE

Batch Active Learning for Multispectral and Hyperspectral Image
Segmentation Using Similarity Graphs, Bohan Chen, Kevin Miller, Andrea
L. Bertozzi & Jon Schwenk

ORIGINAL PAPERS

An Improved Coupled Level Set and Continuous Moment-of-Fluid Method
for Simulating Multiphase Flows with Phase Change, Zhouteng Ye, Cody
Estebe, Yang Liu, Mehdi Vahab, Zeyu Huang, Mark Sussman, Alireza
Moradikazerouni, Kourosh Shoele, Yongsheng Lian, Mitsuhiro Ohta &
M. Yousuff Hussaini

Piecewise Acoustic Source Imaging with Unknown Speed of Sound Using a
Level-Set Method, Guanghui Huang, Jianliang Qian & Yang Yang

Meta-Auto-Decoder: a Meta-Learning-Based Reduced Order Model for
Solving Parametric Partial Differential Equations, Zhanhong Ye, Xiang
Huang, Hongsheng Liu & Bin Dong

Nearest Neighbor Sampling of Point Sets Using Rays, Liangchen Liu,
Louis Ly, Colin B. Macdonald & Richard Tsai

Convergence of Hyperbolic Neural Networks Under Riemannian Stochastic
Gradient Descent, Wes Whiting, Bao Wang & Jack Xin

A Simple Embedding Method for the Laplace-Beltrami Eigenvalue Problem
on Implicit Surfaces, Young Kyu Lee & Shingyu Leung

Optimization in Machine Learning: a Distribution-Space Approach,
Yongqiang Cai, Qianxiao Li & Zuowei Shen

Adaptive State-Dependent Diffusion for Derivative-Free Optimization,
Bjorn Engquist, Kui Ren & Yunan Yang

Model Change Active Learning in Graph-Based Semi-supervised Learning,
Kevin S. Miller & Andrea L. Bertozzi

Anderson Acceleration of Gradient Methods with Energy for Optimization
Problems, Hailiang Liu, Jia-Hao He & Xuping Tian

On the Use of Monotonicity-Preserving Interpolatory Techniques in
Multilevel Schemes for Balance Laws, Antonio Baeza, Rosa Donat & Anna
Martinez-Gavara

Convergent Data-Driven Regularizations for CT Reconstruction, Samira
Kabri, Alexander Auras, Danilo Riccio, Hartmut Bauermeister, Martin
Benning, Michael Moeller & Martin Burger

An Efficient Smoothing and Thresholding Image Segmentation Framework
with Weighted Anisotropic-Isotropic Total Variation, Kevin Bui, Yifei
Lou, Fredrick Park & Jack Xin

A Second-Order Image Denoising Model for Contrast Preservation, Wei
Zhu

Lax-Oleinik-Type Formulas and Efficient Algorithms for Certain
High-Dimensional Optimal Control Problems, Paula Chen, Jerome Darbon &
Tingwei Meng

A Non-parametric Gradient-Based Shape Optimization Approach for
Solving Inverse Problems in Directed Self-Assembly of Block
Copolymers, Daniil Bochkov & Frederic Gibou

Optimization of Random Feature Method in the High-Precision Regime,
Jingrun Chen, Weinan E & Yifei Sun



From: Badih Ghusayni badih@future-in-tech.net
Date: June 02, 2024
Subject: Contents, Intl J Mathematics and Computer Science, 19 (4)


The following papers can be freely downloaded from the journal website
ijmcs.future-in-tech.net

Saber Mansour, On irreducibility in [X][Y]

Omar H. Taha, Marrwa S. Salih, Weakly Pseudo Semi 2-Absorbing
Submodule

Riski Nur Istiqomah Dinnullah, Sobri Abusini, Rahma Fitriani, Marjono,
Trija Fayeldi, Rauzan Sumara, Fisher Information Matrix for
Generalized Poisson Regression: Evaluation of the Log-Likelihood
Function

Aiyared Iampan, Warud Nakkhasen, Prime fuzzy Bd-ideals of Bd-algebras

Sudarat Nidsunkid, Kamon Budsaba, Monthira Duangsaphon, The
Operating-Characteristic Curve for \bar{x} Control Chart when the
Normality Assumption is Violated

Ala Amourah, Nidal Anakira, M. J. Mohammed, Malath Jasim, Jacobi
polynomials and bi-univalent functions

Omaima Al Bahri, Gerald Wanjala, Generalized Inverses of Linear
Relations

Javier A. Hassan, Usman S. Iyah, Nur-Aini M. Paradji, Anabel E.
Gamorez, Eman C. Ahmad, 3-Distance Domination Numbers of Some Graphs

Javier A. Hassan, Ladznar S. Laja, Vertex Cover Zero Forcing Sets in
Graphs

Somia Asklany, Salwa Othmen, Wahida Mansouri, Advanced Machine
Learning Swarm Intelligence Algorithms in Atmospheric Pollutants
Prediction

I.K. Youssef, M. Khalifa Saad, Ali Dumlu, Somia A. Asklany, Sir Models
with Fuzzy Initial Conditions

Zainab Abbas Kadhim ALTalal, Areej Tawfeeq Hameed, -multiplication
Fuzzy q-ideals of RG-algebra

Laila Loudiki, Mustapha Kchikech, On the diameter of generalized
Petersen Graphs

Panuwat Luangchaisri, Thawhat Changphas, On Quasi-ideals and Bi-
ideals of Hypersemigroups and Ternary Hypersemigroups

Aseel Hisham Khamas, Muna Dawood Salman, Ahmed Issa Abdul-Nabi, Rawa
Hamed Hameed, Assessing the Efficiency of Several Approaches for
Estimating the Two Unknown Parameters of the Rayleigh Distribution

Supawadee Prugsapitak, Piyawan Aryapitak, The unit solutions of over
quadratic number fields

Javier A. Hassan, Ladznar S. Laja, Hounam B. Copel, 2-Domination Zero
Forcing in Graphs

Sahab Mohsen Abboud, Hassan Rashed Yassein, Riad Khidr Alhamido,
Improvement of a Multi-Dimensional Public-Key OTRU Cryptosystem

Abdullah Alsoboh, Ala Amourah, Jamal Salah, Bi-Univalent Functions
Using Bell Distribution Associated With Meixner-Pollaczek Polynomials

Sawanya Jadpimai, Utsanee Leerawat, Structure of Pseudo Near Semirings

K. Manikandan, R. Venkatraman, On the Exponential Diophantine Equation

Javier A. Hassan, Anabel E. Gamorez, Eman C. Ahmad, Jamil J. Hamja,
Certified Hop Domination in Graphs

Patipat Chumket, Siripong Sirisuk, Counting Free Linear Codes with a
Given Number of Standard Basis Vectors over Finite Commutative Rings

Zahraa Lateef Hadi, Asmhan Flieh Hassan, The Non-Adjacency Compatible
Vertices Topology on Digraphs

S. Muthuvel, R. Venkatraman, An Exponential Diophantine Equation

P. Smith, P. Wang, Using New Metrics to find a good Examination
Schedule

Akeel Ramadan Mehdi, Anwar Rahm Obaid, Definability of the class of
SAS-flat modules

William S. Gayo Jr., Venus D. Siong, Unsolvability of Two Diophantine
Equations of the Form

Zahraa S.M. Alhaidary, Khatam AD. Zaghir, Raghad Al-Lami, Areej M.
Abduldaim, Anwar Khaleel Faraj, On Centrally-Extended Multiplicative
(generalized)- -Reverse Derivations in Semiprime Rings

Richard J. Taclay, Sum and Difference of Powers of Two Fibonacci
Numbers

Enkeleda Zajmi Kotonaj, Elisabeta Peti, Vera Hoxha, Two concepts of
compactness that characterize the collection of Borel sets of R

Csaba Biro, Analysis of D-Wave topologies with classical graph metrics

Hadeel Hadi Abo-Alsood, Mohammed Hassan Hamza, Sukaina Abdullah
Al-Bairmani, Hassan Rashed Yassein, Development of Public Key
Cryptosystem RSA via Multidimensional Algebra

Somnuk Srisawat, Wanna Sriprad, Some identities of (s,t)-Pell and
(s,t)-Pell-Lucas polynomials by matrix methods

Lorenzo J. Martinez H., David Gutierrez Duque, Missing Data Estimation
Based on Iterated Penalized Linear Regressions Algorithms

Mohamed Illafe, Feras Yousef, Maisarah Haji Mohamed, Shamani
Supramaniam, Fundamental Properties of a Class of Analytic Functions
Defined by a Generalized Multiplier Transformation Operator

Huda Kareem Nasser, Samira Faisal Abushilah, Densities Estimation for
Bivariate Circular Data Under Jones-Pewsey Circular Kernel

Anwar Khaleel Faraj, Areej M. Abduldaim, Shatha A. Salman, Mohammed
Qasim Hamid, The Commutativity of Quotient Rings with Homoderivations

Amelia L. Arriesgado, Jeffrey Imer C. Salim, Distance Independence
Polynomial of Graphs

Abdulmtalb Hussen, Moamar M. Alamari, Bounds on Coefficients for a
Subclass of Bi-Univalent Functions with Lucas-Balancing Polynomials
and Ruscheweyh Derivative Operator

Ronica M. de Leon, Sensitivity analysis of dengue model with vector
control

Shaleema A. Arriola, Benjier H. Arriola, Regimar A. Rasid, Jamaluddin
S. Sala, Independence and Star Polynomials: Interrelations in
Biclique Polynomials

Juan Carlos Lopez Carreno, Rosalba Mendoza Suarez, Jairo Alonso
Mendoza Suarez, Evaluation of certain integrals in the Book of
Gradshteyn and Ryzhik

Jamaluddin S. Sala, Recson G. Canton, Abdurajan B. Lintasan, Regimar
A. Rasid, Rosalio G. Artes Jr., Uncertainty Principle in Reproducing
Kernel Hilbert Spaces

Philip Lester P. Benjamin, -Open Sets in Bigeneralized Topological
Spaces

Jeeranunt Khampakdee, Supannee Sompong, Chawalit Boonpok, Almost
-continuous multifunctions

Napassanan Srisarakham, Supannee Sompong, Chawalit Boonpok, -
continuity for multifunctions

Chalongchai Klanarong, Supannee Sompong, Chawalit Boonpok, -
continuity and -closed sets

Prapart Pue-on, Supannee Sompong, Chawalit Boonpok, Upper and lower
continuous multifunctions

Sirojiddin Masharipov, Bakhodir Kholboev, Dmitriy Kim, A class of
Lotka- Volterra operators and its application (action in the S^3
simplex)

Monchaya Chiangpradit, Supannee Sompong, Chawalit Boonpok, On
characterizations of -normal spaces

Butsakorn Kong-ied, Supannee Sompong, Chawalit Boonpok, - continuity
and weak -continuity

Monchaya Chiangpradit, Supannee Sompong, Chawalit Boonpok, On
characterizations of -regular spaces

Butsakorn Kong-ied, Supannee Sompong, Chawalit Boonpok, - closed sets
and weak -continuity

Awatif R. Al-Dubaicy, Nada S. Karam, Shahbaa M. Yousif, Reliability
Bayesian estimation for generalized pareto two stress-strength models

Nipaporn Chutiman, Supannee Sompong, Chawalit Boonpok, On almost
-normal spaces

Nipaporn Chutiman, Supannee Sompong, Chawalit Boonpok, On almost
-regular spaces

Montri Thongmoon, Supannee Sompong, Chawalit Boonpok, - continuous
multifunctions and -open sets

Muh Nur, Al Azhary Masta, Mawardi Bahri, Firman, Anna Islamiyati, On
the 2-normed Orlicz space

Noaman Abduljabbar Ramadhan, Maha Ammar Mustafa, The Impact of the
Number of Training Categories on the CNN Performance

Eugene Jun Tong Leong, Wen Chean Teh, Very Short Note on Burning Trees
with Sufficiently Long Arms

Affiati Oktaviarina, Henny Pramoedyo, Suci Astutik, Rahma Fitriani, A
Novel Approach to Evaluate Rice Prices using Bayesian GSTARI (1,1,1)
Model

Rebekal Haribabu, Sharmila Mary Arul, Domination Equitable Coloring of
graphs

Sharmila Mary Arul, Diana Grace Thomas, Swati Kharub, Power Dominator
Equitable Coloring of Graphs

Indhumathi Veeraragavan, Sharmila Mary Arul, Dominator Sum Coloring
Algorithm for Comb-Double Comb Graph


From: Brandon T. Bisceglia brandon@begellhouse.com
Date: May 29, 2024
Subject: Contents, J Machine Learning for Modeling and Computing, 5 (1)


Contents for the Journal of Machine Learning for Modeling and Computing,
Vol. 5, Issue 1, 2024:
https://www.dl.begellhouse.com/journals/558048804a15188a,34cd19111b07668e.html

Deep Learning Modeling for Subgrid-Scale Fluxes in the LES of Scalar
Turbulence and Transfer Learning to Other Transport Regimes, Ali
Akhavan-Safaei, Mohsen Zayernouri

Diffusion-Model-Assisted Supervised Learning of Generative Models for
Density Estimation, Yanfang Liu, Minglei Yang, Zezhong Zhang, Feng
Bao, Yanzhao Cao, Guannan Zhang

Physics-Informed Neural Networks for Modeling of 3D Flow Thermal
Problems with Sparse Domain Data, Saakaar Bhatnagar, Andrew Comerford,
Araz Banaeizadeh

Unraveling Consumer Purchase Journey Using Neural Network Models,
Victor Churchill, H. Alice Li, Dongbin Xiu

Role of Physics in Physics-Informed Machine Learning, Abhishek
Chandra, Joseph Bakarji, Daniel M. Tartakovsky

End of Digest
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