Subject: NA Digest, V. 22, # 25 NA Digest Sunday, July 24, 2022 Volume 22 : Issue 25 Today's Editor: Daniel M. Dunlavy Sandia National Labs [log in to unmask] Today's Topics: Software Release, pyMOR 2022.1 GAMM Applied and Numerical Linear Algebra, Czech Republic, Sep 2022 REU Symposium, USA, Dec 2022 Scale Space and Variational Methods in Computer Vision, Italy, May 2023 Scientific Software Engineering Positions, Naval Nuclear Laboratory Assistant Professor Position, Data Science, Univ of Memphis Lecturer Position, Numerical Analysis, Darmstadt Univ, Germany Research Associate/Postdoc Position, Durham Univ, UK Postdoc Position, Computational Geometry, Univ of Pavia Postdoc Position, Mathematics of Data Science, Oxford Univ Postdoc/PhD Position, Data-Driven Modeling, Czech Technical Univ PhD Position, Mathematics, Utrecht Univ PhD Position, Numerical Analysis and Scientific computing PhD Position, Optimization, Czech Technical Univ, Prague PhD Position, Physics-informed Machine Learning PhD Position, Scalable Algorithms for Hybrid AMR PhD Positions, Computational Mathematics, Univ of Stuttgart PhD Positions, Scuola Normale Superiore, Pisa, Italy Contents, Intl J Mathematics and Computer Science, 17 (4) 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: René Fritze [log in to unmask] Date: July 21, 2022 Subject: Software Release, pyMOR 2022.1 pyMOR 2022.1 (July 21, 2022) We are proud to announce the release of pyMOR 2022.1! pyMOR now comes with support for discrete-time systems and structure-preserving MOR for symplectic systems. The neural network based reductors gained many new features, while the VectorArray implementation got simplified. We have added an experimental FEniCS discretizer and extended functionality for randomized linear algebra. Over 760 single commits have entered this release. pyMOR 2022.1 contains contributions by Patric Buchfink, Monica Dessole, Hendrik Kleikamp, Peter Oehme, Art Pelling and Sven Ullmann. Read the full release notes at https://docs.pymor.org/2022-1- 0/release_notes/all.html ------------------------------------------------------- From: Erin Claire Carson [log in to unmask] Date: July 21, 2022 Subject: GAMM Applied and Numerical Linear Algebra, Czech Republic, Sep 2022 The 22nd Workshop of the GAMM Activity Group on Applied and Numerical Linear Algebra (GAMM ANLA) will take place in Prague, Czech Republic from September 22-23, 2022. We anticipate an in-person meeting. The workshop will begin around 13:00 on Thursday, September 22, to allow those who may be traveling from other conferences time to arrive. The workshop will feature recent advances in Applied and Numerical Linear Algebra with a special focus on Krylov subspace methods. We welcome contributions on topics including but not limited to: eigenvalue problems, matrix functions, linear systems, least squares problems, tensor methods, matrix equations, high performance computing, inverse problems, and applications. The invited speakers are: Jorg Liesen (TU Berlin) Jan Pape~ (Czech Academy of Sciences) Kirk Soodhalter (Trinity College Dublin) Valeria Simoncini (University of Bologna) Registration is free and is now open. The registration form and further details can be found on the workshop website: https://sites.google.com/view/gammanla2022/ Important deadlines: 15 August: Deadline for Submitting Abstracts for Contributed Talks 31 August: Registration Deadline ------------------------------------------------------- From: Matthias K Gobbert [log in to unmask] Date: July 24, 2022 Subject: REU Symposium, USA, Dec 2022 On behalf of the organization committee for the 2022 Symposium for Undergraduate Research in Data Science, Systems, and Security (REU Symposium 2022), it is our pleasure to invite undergraduate students to submit their research results in presentation and paper forms. This year, the symposium will be held in Portland, Oregon, USA, one day in December 6-9, 2022, as part of the 9th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2022). The symposium's website is at https://bigdatareu.umbc.edu/reu-symposium/ and the BDCAT 2022 conference's website is at: https://bdcat-conference.org/. Experiencing the full lifecycle of publication at a conference (prepare paper, submit paper, receive review, revise paper, attend and present at conference, etc.) can help and motivate your REU students in their research. Please, encourage your undergraduate students to submit their work. The symposium requires the submission's lead author must be an undergraduate student funded as part of the NSF REU program, either as an REU supplement or REU Site. First paper submission deadline is August 08, 2022, but could be extended. ------------------------------------------------------- From: Marco Prato [log in to unmask] Date: July 18, 2022 Subject: Scale Space and Variational Methods in Computer Vision, Italy, May 2023 The 9th International Conference on "Scale Space and Variational Methods in Computer Vision" will take place in May 21-25, Santa Margherita di Pula, Sardinia, Italy Call for papers: We kindly invite you to submit your contribution. Submitted contributions should be maximum 12 page long and formatted according to the LNCS Springer standards. Papers accepted for the conference will appear in the conference proceedings that will be published in Springer's Lecture Notes in Computer Science series. Prospective authors are invited to submit their contribution electronically via the SSVM'23 Paper Submission Web Page (more details will be announced in due course). All papers will undergo a double-blind peer- review procedure. Accepted papers will be presented at the conference either in the format of posters or talks. Important dates - Paper submission: January 23, 2023 - Notification of acceptance: February 27, 2023 - Camera-ready paper deadline: March 13, 2023 - Conference dates: May 21 - May 25, 2023 The conference will award a best student paper prize. Info & contacts: https://events.unibo.it/ssvm2023/ ------------------------------------------------------- From: Jonathan Hannay [log in to unmask] Date: July 18, 2022 Subject: Scientific Software Engineering Positions, Naval Nuclear Laboratory U.S. Citizens Only: Naval Nuclear Laboratory's (NNL) is seeking full-time scientific software developers with a passion for software engineering. The newest team member will have the opportunity to work on assignments that could include designing, implementing, testing, verifying, deploying, and maintaining engineering software targeted for medium to large-scale supercomputing systems. Relevant Skills (NOT ALL REQUIRED): 1) software engineering (e.g., unit testing, continuous integration, version control, debugging, profiling, compiler operation / optimization). 2) programming with both compiled (e.g., C, C++, Fortran) and interpreted (e.g., Python, Java) scientific computing languages. 3) parallel programming, running parallel jobs on supercomputing systems. 4) numerical analysis: e.g., partial differential equations, ordinary differential equations, nonlinear solvers, verification / validation / uncertainty quantification, optimization, machine learning, data analytics. 5) domain knowledge of nuclear reactor physics, fluid dynamics, thermodynamics, solid mechanics. Experienced: https://nnl.mua.hrdepartment.com/hr/ats/Posting/view/29899 Entry Level: https://nnl.mua.hrdepartment.com/hr/ats/Posting/view/29900 More info: https://navalnuclearlab.energy.gov/ ------------------------------------------------------- From: E. Olusegun George [log in to unmask] Date: July 17, 2022 Subject: Assistant Professor Position, Data Science, Univ of Memphis THE UNIVERSITY OF MEMPHIS, ASSISTANT PROFESSOR OF MATHEMATICAL SCIENCES AND DATA SCIENCE, Department of Mathematical Sciences he 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 https://workforum.memphis.edu/postings/ . Applicants will be required to upload a cover letter, research and teaching statements, curriculum vitae, and contact information for three letters of recommendation. 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: Thomas März [log in to unmask] Date: July 21, 2022 Subject: Lecturer Position, Numerical Analysis, Darmstadt Univ, Germany The Department of Mathematics and Natural Sciences of the Darmstadt University of Applied Sciences is recruiting a professor in the subject area of Numerical Analysis to take up duties in the summer term 2023 (1st April 2023). Further details regarding this position can be found here https://h-da.de/hochschule/arbeiten-an-der-hochschule/detailansicht/mn-16-22-p-professur-im-fachgebiet-numerische-mathematik ------------------------------------------------------- From: Tobias Weinzierl [log in to unmask] Date: July 18, 2022 Subject: Research Associate/Postdoc Position, Durham Univ, UK The Scientific Computing research group at Durham University has an opening for a Research Associate for immediate start, funded by the UK's exascale programme ExCALIBUR. The position can be upgraded to a Postdoc Research Associate, but we would also be happy to consider applications by candidates without a PhD. Details can be found at https://durham.taleo.net/careersection/du_ext/jobdetail.ftl?job=22000021 Please contact the group head Tobias Weinzierl for any questions. ------------------------------------------------------- From: Giulia Scalet [log in to unmask] Date: July 16, 2022 Subject: Postdoc Position, Computational Geometry, Univ of Pavia A postdoctoral position in computational geometry will open soon at the University of Pavia in Italy. Description: The postdoc will work on new conformal and quasi-conformal approaches for morphing structures using theoretical and numerical methods. The position will be part of an ERC Starting Grant "COmputational DEsign for 4D BIOfabrication: harnessing programmable materials for dynamic pre-clinical cancer models" led by Dr Giulia Scalet (https://www.code4bio.com). Qualifications: Applicants must have (or about to receive) a PhD degree in mathematics or computer science (or a closely related discipline). The candidate should have a strong mathematical background on partial differential equations (PDEs), numerical PDE, programming skills (preferably, Matlab, C++, Pytorch). Experience on differential geometry, conformal geometry and quasi-conformal geometry will be a plus. Duration: the initial term will be one/two years, preferably starting January 2023. The contract can be extended up to three years based on performance. Salary: commensurate to candidate's experience. For more information, please contact [log in to unmask] Interested candidates are encouraged to include a CV and a summary of relevant experience. ------------------------------------------------------- From: Coralia Cartis [log in to unmask] Date: July 17, 2022 Subject: Postdoc Position, Mathematics of Data Science, Oxford Univ Postdoctoral Research Associate in the Mathematical Foundations of Data Science https://my.corehr.com/pls/uoxrecruit/erq_jobspec_details_form.jobspec? p_id=158900 We invite applications for a Postdoctoral Research Associate to work on an exciting new project to address significant mathematical and engineering challenges arising from multidimensional big data. The position will be based at the Mathematical Institute, and form a key part of a substantial new Centre for Intelligent Multidimensional Data Analysis (CIMDA) funded by the Hong Kong Innovation and Technology Commission. It is available full time for 12 months in the first instance, though funding for the project is expected to be renewed and if so, it may be possible to extend the length of this appointment by another year. The position is available for an immediate start. The successful candidate will work with leading researchers in stochastic analysis and data science at Oxford as part of a larger, multidisciplinary team. They will manage and conduct their own academic research and administrative activities, write up their results for publication and participate fully in the activities of the research community at Oxford. Potential research directions include, but are not limited to, scalable optimization algorithm development and analysis; stochastic processes and rough paths; reduced precision and parallel-in-time computations; high- dimensional matrices and tensors and their decompositions; hypergraphs models; learning of non-Euclidean data; and sparse deep neural networks. The faculty team comprises Profs Terry Lyons (PI), Coralia Cartis, Mike Giles, Raphael Hauser, Harald Oberhauser, Endre Suli, Jared Tanner and Andrew Wathen. Applicants will have, or be close to completing, a PhD in mathematics or a related discipline, and possess sufficient specialist knowledge and research experience in one or more of the areas of data science, machine learning, numerical analysis, optimization, scientific computing and their applications, to work within established research programmes. They will have excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings. ------------------------------------------------------- From: Jan Zeman [log in to unmask] Date: July 22, 2022 Subject: Postdoc/PhD Position, Data-Driven Modeling, Czech Technical Univ A fully-funded postdoctoral/Ph.D. position in the field of data-driven modeling of engineering materials is available at the Department of Mechanics, Faculty of Civil Engineering, Czech Technical University in Prague. The project involves research activities in the fields of techniques microstructure reconstruction, uncertainty quantification, and inverse problems under the supervision of Dr. Anna Kucerova, in close collaboration with the Luxembourg Institute of Science and Technology. Full details on the job are available at https://euraxess.ec.europa.eu/jobs/814657, and the call closes on 31 August 2022. ------------------------------------------------------- From: Sjoerd Dirksen [log in to unmask] Date: July 17, 2022 Subject: PhD Position, Mathematics, Utrecht Univ The Mathematical Institute of Utrecht University has a vacancy for a 4-year PhD position funded by the new NWO project "Probabilistic wind speed forecasting with deep learning". The project is a close collaboration with the data science and statistical post-processing groups at the Royal Netherlands Meteorological Institute (KNMI). The project will be jointly supervised by Sjoerd Dirksen (Utrecht University, daily supervisor), Kirien Whan (KNMI), and Maurice Schmeits (KNMI). More details on the position and the application procedure can be found under https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-position-on-probabilistic-wind-speed-forecasting-with-deep-learning-10-fte The application deadline is August 15. ------------------------------------------------------- From: Simone Deparis [log in to unmask] Date: July 22, 2022 Subject: PhD Position, Numerical Analysis and Scientific computing We are looking for a PhD students working on time dependent PDEs for fluid problems on coronaries. The project includes the manipulation of real patient geometries, numerical simulations and reduced order modeling based on the reduced basis method. The final aim is to build a dataset for training of networks for the prognosis of cardiac problems. The ideal candidate needs to have a MSc in Applied/Computational Mathematics or Computational Sciences, or Mechanical Engineering, with a strong background in Galerkin methods for PDEs, as well as proficiency in programming. Please submit your applications to [log in to unmask] and attach your CV with the title of your project(s); BSc and MSc transcripts; 2 references that we can contact if needed. The position is open until we find a suitable candidate. A first round of online interviews will happen on Aug 26th so interested candidates are welcome to submit their applications before that date. ------------------------------------------------------- From: Jakub Marecek [log in to unmask] Date: July 23, 2022 Subject: PhD Position, Optimization, Czech Technical Univ, Prague In order to deliver AI systems with full consideration of social welfare, we are developing training algorithms with guarantees of appropriate measures of aspects of social concern. This may entail: guarantees for deep learning via optimization in tame geometry (extending https://arxiv.org/abs/2206.11533); commutative and non-commutative polynomial optimization in system identification and causal discovery (extending https://arxiv.org/abs/2002.01444, https://arxiv.org/abs/2006.07315, https://arxiv.org/abs/2203.17164); on-line and time-varying optimization therein (extending https://arxiv.org/abs/1809.05870, https://arxiv.org/abs/2104.05445). There are multiple PhD studentship available in related topics, to be supervised by Jakub Marecek and Vyacheslav Kungurtsev (Dept. of Computer Science) at the Czech Technical University in close collaboration with the teams of Shie Mannor (Technion), Robert Shorten (Imperial), Dimitris Gunopulos (NKUA), and Ioannis Emiris (Athena RC), working together on project AutoFair, funded by the European Commission (EC). The project is a part of an EC initiative towards ensuring AI development that is trustworthy and transparent. We seek candidates with a Masters degrees in Computer Science, Mathematics, Operations Research or related disciplines, with excellent mathematical aptitude, as demonstrated by involvement in mathematical olympiads, relevant coursework, or undergraduate research. A preference is given to: candidates with experience with non-trivial analysis of (optimization) algorithms; candidates with experience with deep learning; candidates with experience in programming in Python. The position is full time and limited to 3 years, but can be extended in case of mutual interest. The studentship comes with a monthly salary adjusted to approximately match the average salary in Prague, the Czech Republic (which currently stands at approximately EUR 23K p.a. before a notably low tax), and a travel budget. CTU's offices are in a centrally-located palace with a view of Prague Castle. Czech Technical University (CTU) is the oldest non-military technical university in Europe. In the academic year 2020/21, CTU offered 130 degree programs in Czech and 84 in English. QS 2021 ranking of Computer Science programs worldwide has CTU at rank 150. CTU's Artificial Intelligence Center (AIC) with a staff of 150 is widely recognized as one of the best in the region. The Czech capital regularly ranks among the top five cities in Europe to live in (cf. Time Out Magazine index for 2021). For more information, please see https://www.aic.fel.cvut.cz/research-areas/optimization https://www.jobs.ac.uk/job/CQZ866/phd-position-mathematical- optimization-and-control-in-human-compatible-ai ------------------------------------------------------- From: Martin Burger [log in to unmask] Date: July 21, 2022 Subject: PhD Position, Physics-informed Machine Learning Within the project "Automated Simulation Abstraction Pipeline" in cooperation with Schaeffler Technologies AG & Co. KG we offer a Doctorate position (75 %, TV-L 13, for 3 years) at the Department of Mathematics at the Friedrich-Alexander-Universitat Erlangen-Nurnberg, chair for Applied Mathematics (Prof. Martin Burger), starting as soon as possible. The focus of the proposed PhD project is the development of physics- informed machine learning approaches for the abstraction of simulation tools for roller bearings. State-of-the-Art techniques from machine learning, including deep neural networks, shall be made available to learn the relation between various and input- and output-parameters relevant for roller bearings, based on synthetic data from available simulation tools. A key issue in method development is to develop adaptive sampling strategies for the training data. The project deals with the combination of machine learning techniques and numerical schemes for partial differential equations. Therefore, an above-average master's degree in mathematics, data science, or a related discipline is required. We further expect sound knowledge in numerical methods and machine learning, including experience with programming and implementation of algorithms. A background in continuum mechanics and finite element methods is useful. Please send your application by August 31th, 2022 (cover letter, CV, an official listing of your grades, and contact details of a reference, if possible) electronically to [log in to unmask] . Compatibility of family and work is promoted at both universities. Female candidates are particularly encouraged to apply. Equal opportunity is an essential element of our personnel policy. Applications from handicapped or equated applicants are welcome. ------------------------------------------------------- From: Carsten Burstedde [log in to unmask] Date: July 17, 2022 Subject: PhD Position, Scalable Algorithms for Hybrid AMR 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 parallel algorithms for adaptive mesh refinement using various shape primitives, such as cubes, tetrahedra, prisms, and pyramids. These algorithms shall be prototyped, demonstrated, and published 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, experienced in parallel programming with MPI, and skilled in the collaborative development of open source scientific software. 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: Benjamin Stamm [log in to unmask] Date: July 16, 2022 Subject: PhD Positions, Computational Mathematics, Univ of Stuttgart The chair of Numerical Mathematics for High-Performance Computing [1] at the University of Stuttgart invites applicants for several PhD positions (75% TVL-E13 at the German salary scale) in the area of computational mathematics [2]. The chair develops new methods for problems arising in theoretical chemistry, physics, and material science with a focus on a solid mathematical framework, but many projects of the group are interdisciplinary such as the projects associated with the current openings. For these openings, an MSc in Applied Mathematics, Computational Engineering Science, or Simulation Science is expected. Applicants from Physics with strong grades in Mathematics will also be considered. Excellent knowledge in computational mathematics and scientific computing as well as advanced programming skills are expected. Please send the application including the CV and a statement of motivation to [log in to unmask] If you have further questions, please contact Prof. Dr. B. Stamm ([log in to unmask]). The University of Stuttgart particularly welcomes and encourages applications from women, disabled people, and ethnic minority groups. [1]: https://www.ians.uni-stuttgart.de/nmh/ [2]: https://www.ians.uni-stuttgart.de/institute/news/Open-PhD-Positions- 00006/ ------------------------------------------------------- From: Michele Benzi [log in to unmask] Date: July 19, 2022 Subject: PhD Positions, Scuola Normale Superiore, Pisa, Italy Five PhD Fellowships are available for students interested in pursuing a PhD degree in Computational Methods and Mathematical Modeling for the Sciences and Finance. Areas of specialization include Numerical Analysis and Scientific Computing, Quantitative Finance, Stochastic Analysis, and Computational Physics/Chemistry/Biology. An additional special theme PhD fellowship on application of ML techniques to finance is also available (co-sponsored by CONSOB). The application deadline is August 25, 2022; start date is November 1, 2022. Instructions on how to apply can be found at https://www.sns.it/en/phd-admission-competition ------------------------------------------------------- From: Badih Ghusayni [log in to unmask] Date: July 19, 2022 Subject: Contents, Intl J Mathematics and Computer Science, 17 (4) The following papers can be downloaded for free via http://ijmcs.future-in-tech.net/Volume17.4.htm Wipawee Tangjai, Suveera Chaeoueng, Naruemon Phumchaichot, On a Diophantine equation 7^x+5.p^y=z^2 where p\equiv 1,2,4\pmod 7. Rattiya Rittichuai, Aiyared Iampan, Ronnason Chinram, Pattarawan Singavananda, Almost subsemirings and fuzzifications Thanittha Kowan, Chutima Mahalapkorkiat, Tiyaporn Samakrat, Patcharee Sumritnorrapong, Probability Distributions for Modeling of COVID-19 cases and deaths in Thailand Saad Shakir Mahmood, Ali A. Abdulsahib, Jaafer Hmood Eidi, New Conjugate Direction Method for Unconstrained Optimization Issaraporn Thiamsorn, Satsayamon Suksaengrakcharoen, On some properties of power Garima-Topp Leone power Lomax distribution with application to lifetime data Alvaro H. Salas, Jairo E. Castillo, Lorenzo J. Martinez, Analytical and Numerical Solutions to the Kapitza Pendulum Equation Apisit Pakapongpun, Bunthita Chattae, On the Diophantine Equation p^x + 7^y = z^2, where p is prime and x,y,z are non-negative integers Thodsaporn Kumduang, Songpon Sriwongsa, A note on superassociative algebra of terms determined by singular mappings on a finite set A. V. Ramakrishna, T. V. N. Prasanna, Near Ring Multiplications on a Locally Compact Topological Ring Sakolwan Peetaneelavat, Somjai Boonsiri, Extroversion Text Classification Model Using Logistic Regression Zhour Oumazouz, Driss Karim, The analysis and implementation of the symmetric key cryptographic algorithm based on the algebraic Paley graphs Bilal N. Al-Hasanat, Asma Almazaydeh, On classification of groups of order p^4, where p is an odd prime Bilal N. Al-Hasanat, Asma Almazaydeh, Normal Cover of Finite Groups M. Khalifa Saad, S. A. Mohamed, Dual Spherical Curves According to Bishop Frame in the Dual 3-Space Ichlas Adhiguna, Izdihar Salsabila Noor Arifin, Fajar Yuliawan, Intan Muchtadi-Alamsyah, On Orthogonal Circulant MDS Matrices Nongluk Viriyapong, Chokchai Viriyapong, On the Diophantine equation n^x+19^y=z^2, where n \equiv 2 \mod 57 Alvaro H. Salas, Elementary Solution to a Damped and Forced Cubic- Quintic Duffing Equation Lorenzo J. Martinez, Felipe A. Gallego, Alvaro H. Salas, Analytical Solution to a Damped and Forced Oscillator Equation with Power Law Nonlinearity Nabeel E. Arif, Hosoya, Schultz and modified Schultz polynomials and their topological indices of prime graphs of commutative ring Z_n Shatha A. Salman, Fatema A. Sadiq, Viean A. Zain Al-Aabdeen, Muntaha K. Abbas, Mayada N. Mohammedali, Some Properties for the Product and Free Sum of Two Polytope Wachirarak Orosram, Sawian Jaidee, Wipawee Tangjai, On the exponential Diophantine equation (p+2)^x +(2p+1)^y =z^2, where p, p+2, and 2p+1 are primes Chokchai Viriyapong, Chawalit Boonpok, (\Lambda,sp)-continuity and \delta(\Lambda,sp)-closed sets Chokchai Viriyapong, Chawalit Boonpok, Upper and lower faintly (\Lambda,sp)-continuous multifunctions M. I. Khan, Abdelfattah Mustafa, The Transmuted Power Hazard Rate Distribution and its Applications Matthew O. Oluwayemi, S. O. Olatunji, T. O. Ogunlade, On a Certain Subclass of Univalent Functions Involving the Beta Function Zulfaneti, Hilda Assiyatun, Edy Tri Baskoro, On metric-location-domination number of graphs ------------------------------------------------------- End of Digest **************************