Today's Editor:

Daniel M. Dunlavy

Sandia National Labs

dmdunla@sandia.gov

- MFEM Version 4.3
- New Book, Quantum Control Theory and Application
- Industrial Mathematics, Italy, Oct 2021
- SIAM Central States Meeting, USA, Oct 2021
- Professor Position, Data-driven Simulation of Fluids, Univ of Stuttgart
- Postdoc Position, Applied Inverse Problems
- Postdoc Position, Comp Math for Data Science, Emory Univ
- Postdoc Position, Computational Fluid Dynamics, Univ of Sao Paulo
- Postdoc Position, Computational Fluid Dynamics, Univ of Sao Paulo
- Postdoc Position, Image Processing, Univ of Sao Paulo
- Postdoc Position, Numerical Analysis, Univ of L'Aquila
- Postdoc Position, Zeroth-Order Optimization & Learning, Argonne
- Postdoc Positions, Optimal Control and Fluid Mechanics, Portugal
- PhD Position, Univ Sorbonne Paris Nord, France
- Contents, Intl J Mathematics and Computer Science, 16 (4)

From: Tzanio Kolev tzanio@llnl.gov

Date: July 30, 2021

Version 4.3 of MFEM, a lightweight, general, scalable C++ library for

finite element methods, is now available at: https://mfem.org

The goal of MFEM is to enable high-performance scalable finite element

discretization research and application development on a wide variety

of platforms, ranging from laptops to exascale supercomputers.

Some of the new additions in version 4.3 are:

- Variable order spaces, serial p- and hp-refinement.

- Low order refined discretizations, solvers and transfer.

- Preconditioners for advection-dominated systems.

- Support for GPU solvers from hypre and PETSc.

- GPU-accelerated mesh optimization algorithms.

- Explicit vectorization for Fujitsu's A64FX ARM microprocessor.

- Support for high-order Lagrange meshes in VTK format.

- New and improved integrations with FMS, Caliper, libCEED, Ginkgo.

- 18 new examples and miniapps.

The MFEM library has many more features, including:

- 2D and 3D, arbitrary order H1, H(curl), H(div), L2, NURBS elements.

- Parallel version scalable to hundreds of thousands of MPI cores.

- Conforming/nonconforming adaptive mesh refinement (AMR), including

anisotropic refinement, derefinement and parallel load balancing.

- Galerkin, mixed, isogeometric, discontinuous Galerkin, hybridized,

and DPG discretizations.

- Support for triangular, quadrilateral, tetrahedral and hexahedral

elements, including arbitrary order curvilinear meshes.

- Scalable algebraic multigrid, time integrators, and eigensolvers.

- Lightweight interactive OpenGL visualization with the MFEM-based

GLVis tool.

MFEM is being developed in CASC, LLNL and is freely available under a

BSD license. For more details, see the interactive documentation and

the full CHANGELOG at https://github.com/mfem/mfem.

From: Quan-Fang Wang quanfangwang@hotmail.com

Date: July 26, 2021

Title: Quantum Control Theory and Application

Author: Quan-Fang Wang

Publisher: Lambert Academic Publishing

https://www.morebooks.shop/bookprice_offer_83fd09b1b85df430744c89db837bce5507fcf

7c5?locale=3Dgb%C2%A4cy=3DEUR

Date: July 21, 2021 ; ISBN: 978-620-2-80240-6

Language: English; Pages number: 488 ; Price: 98.90 Euro

In this monograph, recent years published papers on the quantum

control had been collected both for theoretical study and numerical

approach. The practical application to the quantum systems covered the

Klein-Gordon equation; Sine-Gordon equation; Klein-Gordon-Schrodinger

equation (KGS); Gross-Pitaevaskii equation (Bose-Einstein Condensates,

BEC); Klein-Gordon-Maxwell equation, and so forth. For the particles

physics, single particle, couple heavy particles, many body particles

problems had been considered in the quantum theory and computational

approach. Three parts contained in the book, Part I is Quantum

Control of KGS System; Part II is Quantum Control of BEC; Part III is

Control of Quantum System. It is certainly hope to connect system

control field to chemistry, physics as well as other research areas

(aero space, surface science, etc.). Thereby, wish to get much more

interest worldwide on the hot topic quantum system control.

From: WIM2021 Organization Committee onkara.jadhav1993@gmail.com

Date: July 27, 2021

We are pleased to announce this Call for Abstracts for the 2nd

Workshop in Industrial Mathematics - WIM2021 - to be held in Catania,

Italy from October 20-22, 2021.

The workshop will feature a wide range of exciting talks, discussions,

and networking opportunities with experts and researchers in the

mathematical fields of 'Optimization and Inverse Problems', 'Coupled

Systems' and 'Reduced Order Methods'. The focus on industrial

applications will be specifically addressed during an

industry-featured session, hosting speakers with direct experience in

industrial mathematics.

Confirmed plenary speakers: Peter Benner (MPI Magdeburg), Pasqualina

Fragneto (ST Microelectronics), Jan S. Hesthaven (EPF Lausanne),

Barbara Kaltenbacher (Univ. Klagenfurt), Jan ter Maten (TU Eindhoven),

Wil Schilders (Eindhoven University), Claudia Totzeck

(Univ. Wuppertal).

The Organizing Committee is inviting the community to submit abstracts

for oral presentations. All abstracts must be sent as a PDF file via

e-mail to wim2021@romsoc.eu . Deadline for submission: September

13th, 2021.

The workshop will be held in a hybrid format: participants have the

option to attend virtually or in-person (we recommend participation

on-site).

For more details, please visit our website at

https://www.romsoc.eu/wim-2021/

From: Agnieszka Miedlar amiedlar@ku.edu

Date: July 29, 2021

2021 SIAM Central States Section 6th Annual Meeting

October 2-3, 2021

University of Kansas Lawrence

We are kindly inviting you to organize a mini-symposium, present a

contributed talk, or poster at the 2021 SIAM Central States Section

6th Annual Meeting.

The deadline for submissions is August 25, 2021.

Proposals for mini-symposium:

https://kusurvey.ca1.qualtrics.com/jfe/form/SV_5pfyAnweI9Yxnp4

Proposals for contributed talk or poster session:

https://kusurvey.ca1.qualtrics.com/jfe/form/SV_1ByCtvfq1XccLJA

We specially encourage students and young researchers to join the

meeting.

Plenary Speakers:

- Fioralba Cakoni, Rutgers University

- Peter Jan van Leeuwen, Colorado State

- Dongbin Xu, Ohio State

- Xiu Ye, University of Arkansas at Little Rock

For more details see siamcss2021.ku.edu

From: Dominik G=F6ddeke dominik.goeddeke@ians.uni-stuttgart.de

Date: July 30, 2021

The new professorship aims at a unified perspective on data-integrated

simulation science and high performance computing. New approaches

combining advanced HPC and data-driven techniques for modeling,

simulation, and analysis should be developed for innovative

applications in multi-phase flow and/or porous media and in

interdisciplinary collaboration between engineering, sciences,

mathematics, and computer science. The professorship will be

established at the University of Stuttgart in the context of the

DFG-funded Cluster of Excellence EXC 2075 "Data-integrated Simulation

Science". The professor will be jointly appointed by the Stuttgart

Center for Simulation Science (SC SimTech) and the Faculty 6:

Aerospace Engineering and Geodesy of the University of Stuttgart.

The full announcement is available here:

https://www.simtech.uni-stuttgart.de/press/New-job-offer-Professorship-W3-Data-driven-

Simulation-of-Fluids-on-High-Performance-Computers/

From: Daniel Lesnic D.Lesnic@leeds.ac.uk

Date: July 28, 2021

6 month post-doc position at the University of Leeds in Applied

Inverse Problems, see:

https://jobs.leeds.ac.uk/EPSMA1041

(deadline for applications 24 August 2021)

From: James Nagy jnagy@emory.edu

Date: July 26, 2021

The newly funded NSF Research Training Group in Computational

Mathematics for Data Science within the Department of Mathematics at

Emory University invites applications for a postdoc

position. Appointments are normally for two years with the possibility

of renewal for a third year. Applicants must be citizens, nationals,

or permanent residents of the United States, have a PhD in Mathematics

or a closely related field (the PhD must be completed by September 1,

2021 for a Fall 2021 start, or by January 1, 2022 for a Spring 2022

start), and show evidence or promise of excellence in research and

teaching. We are especially interested in candidates with research

interests broadly related to data science (e.g., data assimilation,

machine learning, numerical optimization, linear algebra and

PDEs). Candidates must also have a strong background in numerical

analysis and scientific computing. For more details about the research

activity in Emory's Scientific Computing Group see

http://www.mathcs.emory.edu/Research/Area/ScientificComputing/

The successful candidate is expected to engage in all RTG activities.

Postdoctoral Fellows will have the opportunity to teach two courses

per year (one in Fall and one in Spring semesters), conduct research,

collaborate with faculty, and work with undergraduate and graduate

students in our dynamic computational mathematics research group. RTG

Postdoctoral Fellowships include an allowance for travel and computing

equipment, and access to state-of-the-art computing resources,

including GPU clusters.

Applications should be sent via Interfolio at

http://apply.interfolio.com/90818. Screening starts immediately and

will continue until positions are filled.

Emory University is an equal employment opportunity and affirmative

action employer. Women, minorities, people with disabilities and

veterans are strongly encouraged to apply. Emory University is

committed to student and faculty diversity, equity, and inclusion.

From: Fabricio Simeoni de Sousa f.s.sousa@usp.br

Date: July 27, 2021

Project: High-performance computing using multiscale domain

decomposition methods. Supervisor: Prof. Fabricio Simeoni de Sousa

The Center for Mathematical Sciences Applied to Industry (CeMEAI), a

Research, Diffusion and Innovation Center (CEPID) funded by FAPESP and

hosted at ICMC-USP, offers a 12-month postdoc fellowship in the area

of Computational Fluid Dynamics. The objective is the development of

multiscale domain decomposition methods and its implementation in a

HPC environment, for the direct numerical simulation of incompressible

flows. Candidates must have obtained a PhD in the last 5 years, and

must provide at least three authored scientific articles in the field,

as well as proof of experience in the implementation of parallel

methods in C/C++, in HPC environments.

To apply, send the following items (PDF only) by email to

prof. Dr. Fabricio Simeoni de Sousa (f.s.sousa@usp.br) no later than

August 22nd, 2021: 1. Letter of interest, containing complete contact

information and year of graduation; 2. Curriculum; 3. Cover letter

including names and contact information for two references. Enter

"Postdoc - Multiscale" in the subject field of the message.

The selected candidate will receive a Post-Doctoral fellowship from

FAPESP in the amount of R$ 7,373.10 monthly and a research contingency

fund, equivalent to 10% of the annual value of the fellowship which

should be spent in items related to the research activity.

From: Fabricio Simeoni de Sousa f.s.sousa@usp.br

Date: July 27, 2021

Project: Hybrid particle-mesh methods for large-scale applications of

fluid-structure interaction. Supervisor: Prof. Fabricio Simeoni de Sousa

The Center for Mathematical Sciences Applied to Industry (CeMEAI), a

Research, Diffusion and Innovation Center (CEPID) funded by FAPESP and

hosted at ICMC-USP, offers a 12-month postdoc fellowship in the area

of Computational Fluid Dynamics for the development and implementation

of a particle-mesh model (SPH-FEM or MPS-FEM) coupled by boundary

integrals, in order to accelerate large scale numerical simulations of

fluid- structure interactions involving free-surface flows and

deformable structures. Candidates must have obtained a PhD in the last

5 years, and must provide at least three authored scientific articles

in the field, as well as proof of experience in the implementation of

parallel methods in C/C++, in HPC environments.

To apply, send the following items (PDF only) by email to

prof. Dr. Fabricio Simeoni de Sousa (f.s.sousa@usp.br) no later than

August 22nd, 2021: 1. Letter of interest, containing complete contact

information and year of graduation; 2. Curriculum; 3. Cover letter

including names and contact information for two references. Enter

"Postdoc - Particle Methods" in the subject field of the message. The

selected candidate will receive a Post- Doctoral fellowship from

FAPESP in the amount of R$ 7,373.10 monthly and a research contingency

fund, equivalent to 10% of the annual value of the fellowship which

should be spent in items related to the research activity.

From: Jo Ueyama joueyama@icmc.usp.br

Date: July 27, 2021

The Center for Research in Mathematical Sciences Applied to Industry

(CEPID-CeMEAI) at the University of Sao Paulo opens a post-doctoral

research position in Image Processing. The selected candidate will

work at the Institute of Mathematical and Computer Sciences of the

University of Sao Paulo in Sao Carlos/SP, Brazil. Sao Paulo Research

Foundation provides financial support with a monthly salary of R$

7.373,10 and a research contingency fund, equivalent to 10% of the

annual value of the fellowship which should be spent in items directly

related to the research activity. The position is for one year.

Project: Image processing for flood detection

Supervisor: Prof. Jo Ueyama

This position focuses on detecting and forecasting floods using images

and thus automating flood identification without human intervention.

With such an approach, it will be possible to use only the cameras

without a river height sensor submerged in the river. Applicants must

have completed, or are nearing completion, a doctorate in Computer

Science or related subjects in the past five years. The selection

criteria will include demonstrated research capacity in the field of

call, a solid background in image processing, machine learning, and

English speech and writing skills. It is also desirable that the

candidate knows how to work in groups and has the ability to interact

with researchers from other areas, such as hydrology.

To apply, send the following items by email to Professor Jo Ueyama

until 08/31/2021. Professor Ueyama email address is

joueyama@icmc.usp.br. Please send the pdf files of the following

documents: 1. Letter of interest, containing complete information of

contact, year of graduation, and citizenship/immigration status,

clearly addressing the research above; 2. Resume; 3. Cover letter

including names and contact information for three references. Enter

"Postdoc" in the subject field of the message.

From: Raffaele D'Ambrosio raffaele.dambrosio@univaq.it

Date: July 26, 2021

A postdoctoral research fellowship in Numerical Analysis is available

at the University of L'Aquila, under the scientific supervision of

Raffaele D'Ambrosio.

The scientific activity covered by the position regards numerical

modeling for evolutive problems in space and time, with and without

memory, deterministic and stochastic, mainly in the direction of the

conservation of qualitative and quantitative properties of the

operators under investigation. In line with the scientific objectives

of PRIN 2017 project "Structure preserving approximation of

evolutionary problems", the scientific activity will deal with the

theoretical study of the proposed numerical schemes, the design of

mathematical software based on these schemes, the experimental

verification of their properties on a wide selection of test problems,

their effectiveness in applications.

The duration of the position is 12 months (eventually renewable) and

the value of the fellowship is 30.000,00 Euro (gross) per

year. Closing date: August 15, 2021.

For further information and application details, see the website

https://www.univaq.it/include/utilities/blob.php?table=3Dassegni_ricerca&id=3D674&item=3Dbando

From: Stefan Wild wild@anl.gov

Date: August 01, 2021

The Laboratory for Applied Mathematics, Numerical Software, and

Statistics (LANS) at Argonne National Laboratory is seeking a

postdoctoral researcher in the area of mathematical optimization and

machine learning. We value and strive for diversity in backgrounds,

experiences, and perspectives.

The postdoctoral researcher will work with Argonne staff to design,

analyze, and apply methods for derivative-free/zeroth-order

optimization especially relevant to challenging classes of scientific

machine learning problems.

Desired but not required knowledge and interests include:

- Analyzing algorithms.

- Designing randomized, stochastic, or derivative-free algorithms.

- Researching statistical and machine learning techniques.

- Developing parallel algorithms and software.

Find out more details and apply at https://bit.ly/3xJr8HI

US citizenship is not required. Openings are available immediately,

but there is flexibility in start dates.

From: Jorge Tiago jorge.tiago@tecnico.ulisboa.pt

Date: July 30, 2021

The Center for Computational and Stochastic Mathematics (CEMAT) at

Instituto Superior Tecnico, ULisboa, invites applications for two

postdoctoral positions in Optimal Control of PDE's and Fluid

Mechanics. The postdoctoral grants require that the candidate has

obtained this PhD during the previous 3 years before submitting the

application. The research will take place within the scope of the

project HemoControl and in collaboration with the team members Adelia

Sequeira (CEMAT), Ana Leonor Silvestre (CEMAT), and Alberto Gambaruto

(University of Bristol). The application procedures, including

submission details, can be found here:

Position 1 (Optimal Control of PDEs):

https://ist-id.pt/files/sites/43/bl118-ist-id_en-pdf-621kb.pdf

Position 2 (Fluid Mechanics):

https://ist-id.pt/files/sites/43/bl119-ist-id_en-pdf-632kb.pdf

Deadline for submissions: August 10, 2021

For other queries, please contact jorge.tiago@tecnico.ulisboa.pt

From: Emiliano TRAVERSI emiliano.traversi@gmail.com

Date: July 28, 2021

One PhD position is opened at Universite Sorbonne Paris Nord, France

(these CIFRE). The position is in collaboration with Horizontal

Sofware (https://www.horizontalsoftware.com/).

Horizontal Software (HSW), created in 2010, is a publisher of SaaS and

App solutions, specialized in management and optimized planning of

human resources. The E-OPTIM solution provided by HSW is intended for

the planning and optimization of human resources, taking into account

heterogeneous constraints: legal, organizational and social. A

company's performance is closely linked to well-being at work. It is

therefore very important to take into account employee preferences in

the development of schedules. The goal of the PhD thesis is to develop

heuristic algorithms that take into account employee preferences in

addition to the standard constraints (legal, organizational and

social). This additional requirement poses a severe challenge as it

complicates a problem that is already difficult to solve. To overcome

this challenge the candidate will use the most advanced techniques in

the field of mathematical optimization and artificial intelligence.

Required competences: Good experience with mathematical optimization;

Knowledge in machine learning and deep learning is considered as a

plus; Excellent programming skills.

To apply or to have more information, please contact Roberto Wolfler

Calvo (wolfler@lipn.univ-paris13.fr) and Nora Touati

(ntouati@horizontalsoftware.com).

From: Badih Ghusayni badih@future-in-tech.net

Date: August 01, 2021

The papers below can be downloaded freely via

http://ijmcs.future-in-tech.net/Volume16.4.htm:

Thejasvi Nagaraju, Shubamangala B.R., Elicitation of Resilient

Requirements through Countermeasure Decomposition Technique.

Eiman Jadaan Alenezy, An Integer Programming Formulation of

Capacitated Facility Location Problem.

Khwancheewa Wattanatripop, Thawhat Changphas, The length of terms and

their measurement.

Nagornchat Chansuriya, Sarawut Phuapong, Structural Properties and

Submonoids of Generalized Cohypersubstitutions.

Daya K. Nagar, Edwin Zarrazola, Alejandro Roldan-Correa, A bivariate

distribution whose marginal laws are inverted beta and gamma.

W. Mohammed, M. Abdelrahman, H. Boulares, F. Khelifi, E. Elabbasy, E.

Aly, The exact solutions for the nonlinear Schrodinger equation forced

by multiplicative noise on Ito sense.

Wasim Audeh, Hilbert-Schmidt numerical radius inequalities for 2x2

operator matrices.

Khaldoun Al-Zoubi, Shatha Alghueiri, On graded J_{gr}-2-absorbing and

graded weakly J_{gr}-2-absorbing submodules of graded modules over

graded commutative rings.

Yousef F. Alharbi, Study on Moments of Generalized Order Statistics

from Lomax-Exponential Distribution and Characterization.

Raden Sulaiman, Separability of Intuitionistic Fuzzy Relations.

Syaiful Anam, Zuraidah Fitriah, Early Blight Disease Segmentation on

Tomato Plant Using K-means Algorithm with Swarm Intelligence-based

Algorithm.

K. Rauf, I. A. Ogunleke, Extension of Polarity in a Signed

Transformation Semigroup.

S. A. Syed Ali, L. S. Supian, S. Shafie, Equivalent formulations for

Economic Lot-sizing Problem with Remanufacturing and Joint Setups.

A. A. Ramadan, E. Hamouda, A. Seif, Generalized soft bi-ideals over

semigroups.

Stephanie Dorough, Peter Johnson, Rainbow Connectivity and Proper

Rainbow Connectivity of theta(1,s,t).

Devendra Kumar, Azza M. Alghamdi, Generalized Lower Order and

Approximation of Entire Transcendental Functions of Several Complex

Variables in Some Banach Spaces.

Matthew O. Oluwayemi, Joshua O. Okoro, Certain results on a class of

functions with negative coefficients.

Fancy V. F., V. Jude Annie Cynthia, Local Metric Dimension of Certain

Wheel Related Graphs.

Alvaro H. Salas, New Method for Solving Nonlinear equations.

Peter Johnson, Fadekemi Janet Osaye, On edge-weighted mean

eccentricity of graphs.

C. Nontpa, C. Kesamoon, N. Kaewhawong, P. Intrapaiboon, A New Hybrid

Forecasting Using Decomposition Method with SARIMAX Model and

Artificial Neural Network.

Laila A. Alnaser, Makkia Dammak, Biharmonic problem with indefinite

asymptotically linear nonlinearity.

Moin Akhtar Ansari, Rough Set Theory Applied to JU-algebras.

Jatuporn Sanborisoot, Thawhat Changphas, Ordered semigroups in which

the radical of every quasi-ideal is a subsemigroup.

Alvaro H. Salas, Lorenzo J. Martinez, David L. Ocampo, Trigonometric

Solution to the Pendulum Equation.

Ramzi B. Albadarneh, Iqbal M. Batiha, Adel Ouanna, Shaher Momani,

Modeling COVID-19 Pandemic Outbreak using Fractional-Order Systems.

Fadi Alrimawi, Some norm inequalities of Davidson-Power type.

Supawadee Prugsapitak, On the set of solutions of x^2-axy-y^2 =3D \pm 1

over some finite fields.

Mona Sakkijha, Eman Aldabbas, Omar Yasin, Numerical radius

inequalities involving accretive-dissipative matrices. Wikanda

Phaphan, R Package for the Two-Parameters Crack Distribution.

Hadeel Hadi Abo-Alsood, Hassan Rashed Yassein, Design of an

Alternative NTRU Encryption with High Secure and Efficient.

Kelly Guest, Andrew Johnson, Peter Johnson, William Jones, Yuki

Takahashi, Zhichun (Joy) Zhang, Graphs with prescribed radius,

diameter, and center.

J. V. L. Chew, J. Sulaiman, F. A. Muhiddin, Numerical evaluation on

the solution of the porous medium equation by 4-Point Newton-Explicit

Group.

Nada Sabeeh Mohammed, Areej M. Abduldaim, Algebraic Hessenberg

Decomposition Method Optimized by Genetic Algorithm for Zero

Watermarking Technique.

Sarah Hussain Shahhadi, Hassan Rashed Yassein, A New Design of

NTRUEncrypt-analog Cryptosystem with High Security and Performance

Level via Tripternion Algebra.

Alvaro H. Salas, Lorenzo J. Martinez, David L. Ocampo, Analytical and

Approximate Trigonometric Solution to Duffing-Helmholtz Equation.

Ibtisam A. H. Masmali, Pythagorean Picture Fuzzy Hyperideals in

Semihypergroups.

Ming-Ming Xu, Jumat Sulaiman, Labiyana Hanif Ali, Half-Sweep SOR

Iterative Method Using Linear Rational Finite Difference Approximation

for First-Order Fredholm Integro-Differential Equations.

R. Stalin Mary, Indra Rajasingh, Embedding of Recursive Circulant

RC(2^{n}, 4) into Circular Necklace.

Nada Yassen Kasm Yahya, Emad Bakr Al-Zangana, The Non-existence of

[1864,3,1828]_{53} Linear Code by Combinatorial Technique.

Fatema A. Sadiq, Shatha A. Salman, Raghad I. Sabri, The General

Formula for the Ehrhart Polynomial of Polytopes with Applications.

Tammatada Khemaratchatakumthorn, Duangpon Siriwan, Pasting Lemmas for

b-Metric Preserving and Related Functions.

Niphawan Phoopha, Prapanpong Pongsriiam, Notes on 1089 and a Variation

of the Kaprekar Operator.

Anwar Khaleel Faraj, Areej M. Abduldaim, Commutativity and Prime

Ideals with Proposed Algebraic Identities.

Aiyared Iampan, Ronnason Chinram, Pattarawan Petchkaew, A note on

almost subsemigroups of semigroups.

Alvaro H. Salas, Analytical Approximant for a Damped KdV Equation.

Silas Luliro Kito, Gerald Wanjala, The Toeplitz-Hausdorff and Spectral

Inclusion Theorems for Linear Relations.

Alvaro H. Salas, Elementary Solution to the Damped Pendulum.

Natdanai Chailangka, Apisit Pakapongpun, Neo balancing numbers.

Salah Uddin Mohammad, Md. Rashed Talukder, Interpretations of

Kronecker product and ordinal product of poset matrices.

Thodsaporn Kumduang, Khwancheewa Wattanatripop, Thawhat Changphas,

Tree languages with fixed variables and their algebraic structures.

Khwancheewa Wattanatripop, Thodsaporn Kumduang, Sorasak

Leeratanavalee, Thawhat Changphas, Power Menger algebra of terms

induced by order-decreasing transformations and superpositions.

Julian A. D. Allagan, Benkam Bobga, Dominion of Some Graphs.

Jeeraporn Thaithanan, Wandee Wanishsakpong, Thammarat Panityakul,

Dulyawit Prangchumpol, The Efficiency of Ridge Estimations for

Multicollinearity Multiple Linear Regression: A Monte-Carlo

Simulation- Based Study.

Fares Bekhouche, Iryna Komashynska, Traveling wave solutions for the

space-time fractional (2+1)-dimensional Calogero-Bogoyavlenskii-Schiff

equation via two different methods.

Abdulrahman Balfaqih, Hailiza Kamarulhaili, Corrigendum to: On The

Diophantine Equation (132k)^x + (4355k)^y =3D (4357k)^z.

C. Sahatsathatsana, S. Sahatsathatsana, W. Pimpasalee, Error

estimation for nonoverlapping success runs with length k via

Stein-Chen method.

Ansam Nazar Younis, Fawziya Mahmood Ramo, Detecting Skin Cancer

Disease Using Multi Intelligent Techniques.

Hessa Alharbi, Makkia Dammak, Existence of solutions to fourth order

problems with sign-changing weights.

Raffaele D'Ambrosio, Martina Moccaldi, Beatrice Paternoster, Adapted

numerical modeling for advection-reaction-diffusion problems on a

bidimensional spatial domain.

Amira A. Ishan, A Classification of Totally Umbilical Semi-invariant

Submanifolds of Riemannian Product Manifolds.

End of Digest

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