List of Journals
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Journal Abbreviations
Abbreviations of Names of Serials This list gives the form of references used in Mathematical Reviews (MR). not previously listed ⇤ The abbreviation is followed by the complete title, the place of publication journal indexed cover-to-cover § and other pertinent information. † monographic series Update date: July 1, 2016 4OR 4OR. A Quarterly Journal of Operations Research. Springer, Berlin. ISSN Acta Math. Hungar. Acta Mathematica Hungarica. Akad. Kiad´o,Budapest. § 1619-4500. ISSN 0236-5294. 29o Col´oq. Bras. Mat. 29o Col´oquio Brasileiro de Matem´atica. [29th Brazilian Acta Math. Sci. Ser. A Chin. Ed. Acta Mathematica Scientia. Series A. Shuxue † § Mathematics Colloquium] Inst. Nac. Mat. Pura Apl. (IMPA), Rio de Janeiro. Wuli Xuebao. Chinese Edition. Kexue Chubanshe (Science Press), Beijing. ISSN o o † 30 Col´oq. Bras. Mat. 30 Col´oquio Brasileiro de Matem´atica. [30th Brazilian 1003-3998. ⇤ Mathematics Colloquium] Inst. Nac. Mat. Pura Apl. (IMPA), Rio de Janeiro. Acta Math. Sci. Ser. B Engl. Ed. Acta Mathematica Scientia. Series B. English § Edition. Sci. Press Beijing, Beijing. ISSN 0252-9602. † Aastaraam. Eesti Mat. Selts Aastaraamat. Eesti Matemaatika Selts. [Annual. Estonian Mathematical Society] Eesti Mat. Selts, Tartu. ISSN 1406-4316. Acta Math. Sin. (Engl. Ser.) Acta Mathematica Sinica (English Series). § Springer, Berlin. ISSN 1439-8516. † Abel Symp. Abel Symposia. Springer, Heidelberg. ISSN 2193-2808. Abh. Akad. Wiss. G¨ottingen Neue Folge Abhandlungen der Akademie der Acta Math. Sinica (Chin. Ser.) Acta Mathematica Sinica. Chinese Series. † § Wissenschaften zu G¨ottingen. Neue Folge. [Papers of the Academy of Sciences Chinese Math. Soc., Acta Math. Sinica Ed. Comm., Beijing. ISSN 0583-1431. -
Reading List for Numerical Analysis Group D. Phil. Students MT 2013
Reading List for Numerical Analysis Group D. Phil. Students MT 2013 Each student should make a serious and continuing effort to familiarise himself/herself with the contents of several books from the following annotated list. The list is divided into subject areas and comments are given on the relative level and difficulty of each book. As a general rule, you should expect to study the most advanced books in the area of your dissertation together with a reasonable spread of books in related areas. A rough guide could be that you should be familiar with about a dozen books drawn from half a dozen of the listed areas. Journals Acta Numerica SIAM Review Journal of Computational Physics SIAM Journal on Numerical Analysis SIAM Journal on Matrix Analysis & Applications SIAM Journal on Scientific Computing SIAM Journal on Optimization BIT Numerical Mathematics Numerische Mathematik IMA Journal of Numerical Analysis Mathematics of Computation Foundations of Computational Mathematics Mathematical Programming Mathematical Programming Computation Floating point arithmetic M.L. Overton: Numerical Computing with IEEE Floating Point Arithmetic , SIAM, 2001. [Very readable and systematic presentation.] See also Chaps. 1 and 2 of the book by N.J. Higham listed below. Numerical linear algebra J.W. Demmel: Applied Numerical Linear Algebra, SIAM, 1997. [Best source on recent algorithms such as divide-and-conquer.] H.C. Elman, D.J. Silvester, A.J. Wathen: Finite Elements And Fast Iterative Solvers, Oxford University Press, 2005. [Major book at the interface of finite elements and matrix iterations.] G.H. Golub & C.F. Van Loan: Matrix Computations , Johns Hopkins, 4th ed. 2012. -
Department of Physics and Astronomy 1
Department of Physics and Astronomy 1 PHSX 216 and PHSX 236, provide a calculus-based foundation in Department of Physics physics for students in physical science, engineering, and mathematics. PHSX 313 and the laboratory course, PHSX 316, provide an introduction and Astronomy to modern physics for majors in physics and some engineering and physical science programs. Why study physics and astronomy? Students in biological sciences, health sciences, physical sciences, mathematics, engineering, and prospective elementary and secondary Our goal is to understand the physical universe. The questions teachers should see appropriate sections of this catalog and major addressed by our department’s research and education missions range advisors for guidance about required physics course work. Chemistry from the applied, such as an improved understanding of the materials that majors should note that PHSX 211 and PHSX 212 are prerequisites to can be used for solar cell energy production, to foundational questions advanced work in chemistry. about the nature of mass and space and how the Universe was formed and subsequently evolved, and how astrophysical phenomena affected For programs in engineering physics (http://catalog.ku.edu/engineering/ the Earth and its evolution. We study the properties of systems ranging engineering-physics/), see the School of Engineering section of the online in size from smaller than an atom to larger than a galaxy on timescales catalog. ranging from billionths of a second to the age of the universe. Our courses and laboratory/research experiences help students hone their Graduate Programs problem solving and analytical skills and thereby become broadly trained critical thinkers. While about half of our majors move on to graduate The department offers two primary graduate programs: (i) an M.S. -
RESOURCES in NUMERICAL ANALYSIS Kendall E
RESOURCES IN NUMERICAL ANALYSIS Kendall E. Atkinson University of Iowa Introduction I. General Numerical Analysis A. Introductory Sources B. Advanced Introductory Texts with Broad Coverage C. Books With a Sampling of Introductory Topics D. Major Journals and Serial Publications 1. General Surveys 2. Leading journals with a general coverage in numerical analysis. 3. Other journals with a general coverage in numerical analysis. E. Other Printed Resources F. Online Resources II. Numerical Linear Algebra, Nonlinear Algebra, and Optimization A. Numerical Linear Algebra 1. General references 2. Eigenvalue problems 3. Iterative methods 4. Applications on parallel and vector computers 5. Over-determined linear systems. B. Numerical Solution of Nonlinear Systems 1. Single equations 2. Multivariate problems C. Optimization III. Approximation Theory A. Approximation of Functions 1. General references 2. Algorithms and software 3. Special topics 4. Multivariate approximation theory 5. Wavelets B. Interpolation Theory 1. Multivariable interpolation 2. Spline functions C. Numerical Integration and Differentiation 1. General references 2. Multivariate numerical integration IV. Solving Differential and Integral Equations A. Ordinary Differential Equations B. Partial Differential Equations C. Integral Equations V. Miscellaneous Important References VI. History of Numerical Analysis INTRODUCTION Numerical analysis is the area of mathematics and computer science that creates, analyzes, and implements algorithms for solving numerically the problems of continuous mathematics. Such problems originate generally from real-world applications of algebra, geometry, and calculus, and they involve variables that vary continuously; these problems occur throughout the natural sciences, social sciences, engineering, medicine, and business. During the second half of the twentieth century and continuing up to the present day, digital computers have grown in power and availability. -
Introduction to Copyright and Licensing in an Open Access Environment
IOP publications Frequently asked questions Glossary Frequently asked questions Creative Commons Moral rights Creative Commons Assignment Open access Dealing with copyright works Introduction to copyright copyright.iop.org Introduction to Introduction open access environment access open copyright and licensing in an in licensing and copyright Introduction to copyright to Introduction works copyright with Dealing access Open Assignment Commons Creative Commons Creative questions asked Frequently Glossary questions asked Frequently publications IOP Moral rights rights Moral What is copyright? As soon as an idea is expressed in a physical medium, such as writing a paper, it qualifies for copyright protection. Copyright is a legal right that gives the copyright holder exclusive rights over how others use their work. The level and type of protection offered by copyright varies between countries. A form of intellectual property, copyright can be dealt with like other types of property – it can be acquired, disposed of or licensed. Copyright is time-limited. The period of protection varies, but in most countries a journal article created at the present time will be protected for between 50 and 70 years from the death of the last surviving author. By means of a number of local and international laws and conventions, copyright which arises in one country is recognised and protected in many others. Treatment of copyright in the digital environment is evolving at an unprecedented rate. Copyright exists to protect the rights of an owner of an original piece of work by imposing restrictions on reuse but it does not always fit well with how we use and share information in the digital sphere. -
Inspec Archive - List of Journals Covered Between 1898 and 1968
February 2006 www.iee.org/inspec Inspec Archive - List of Journals Covered between 1898 and 1968 Abhandlungen der Berlin Akademie Acta Universitatis Lundensis. Sectio II. Medica, Abhandlungen der Braunschweigischen Mathematica, Scientiae Rerum Naturalium Wissenschaftlichen Gesellschaft Acta Universitatis Tamperensis Abhandlungen der Deutschen Akademie der Acustica Wissenschaften zu Berlin, Klasse fur Advanced Energy Conversion Mathematik, Physik und Technik Advances in Atomic and Molecular Physics Abhandlungen der Konigliches Preussisches Advances in Electronics Meteorologies Institut Advances in Physics Abhandlungen der Preussischen Akademieder Advances in Theoretical Physics Wissenschaften Advances of Science Accademia delle Scienze, Medico e Naturali, AEG Mitteilungen Ferrara AEG Progress ACEC Journal AEG Zeitung ACEC Review AEI Engineering Acero y Energia AEI Engineering Review Acta Academiae Aboensis, Mathematical AEI Journal of Telecommunications Physics AEI Research Laboratory Reports Acta and Commentationes Universitatis Aerial Age Tartuensis (Dorpatensis) Aerial Age Weekly Acta Automatica Sinica Aeronautical Engineering Review Acta Bolyaiana Aeronautical Journal Acta Chemica Scandinavica Aeronautical Research Council Current Papers Acta Crystallographica Aeronautical Research Council Reports and Acta Electronica Memoranda Acta Electronica Sinica Aeronautics Acta Geophysica Sinica Aeroplane Acta Mathematica Aerospace Engineering Acta Mathematica Sinica Agricultural and Horticultural Engineering Acta Mechanica Abstracts Acta Medica -
Machine Learning for Condensed Matter Physics
Review Article Machine Learning for Condensed Matter Physics Edwin A. Bedolla-Montiel1, Luis Carlos Padierna1 and Ram´on Casta~neda-Priego1 1 Divisi´onde Ciencias e Ingenier´ıas,Universidad de Guanajuato, Loma del Bosque 103, 37150 Le´on,Mexico E-mail: [email protected] Abstract. Condensed Matter Physics (CMP) seeks to understand the microscopic interactions of matter at the quantum and atomistic levels, and describes how these interactions result in both mesoscopic and macroscopic properties. CMP overlaps with many other important branches of science, such as Chemistry, Materials Science, Statistical Physics, and High-Performance Computing. With the advancements in modern Machine Learning (ML) technology, a keen interest in applying these algorithms to further CMP research has created a compelling new area of research at the intersection of both fields. In this review, we aim to explore the main areas within CMP, which have successfully applied ML techniques to further research, such as the description and use of ML schemes for potential energy surfaces, the characterization of topological phases of matter in lattice systems, the prediction of phase transitions in off-lattice and atomistic simulations, the interpretation of ML theories with physics- inspired frameworks and the enhancement of simulation methods with ML algorithms. We also discuss in detial the main challenges and drawbacks of using ML methods on CMP problems, as well as some perspectives for future developments. Keywords: machine learning, condensed matter physics Submitted -
Modeling and Computation of Liquid Crystals
Acta Numerica (2022), pp. 1{89 © Cambridge University Press, 2022 doi:10.1017/S09624929XXXXXX Printed in the United Kingdom Modeling and Computation of Liquid Crystals Wei Wang Department of Mathematics, Zhejiang University, Hangzhou 310027, China [email protected] Lei Zhang Beijing International Center for Mathematical Research, Center for Quantitative Biology, Peking University, Beijing 100871, China [email protected] Pingwen Zhang School of Mathematical Sciences, Peking University, Beijing 100871, China [email protected] Liquid crystal is a typical kind of soft matter that is intermediate between crystalline solids and isotropic fluids. The study of liquid crystals has made tremendous progress over the last four decades, which is of great importance on both fundamental scientific researches and widespread applications in in- dustry. In this paper, we review the mathematical models and their connec- tions of liquid crystals, and survey the developments of numerical methods for finding the rich configurations of liquid crystals. CONTENTS 1 Introduction 2 2 Mathematical models of liquid crystals 6 arXiv:2104.02250v1 [math.NA] 6 Apr 2021 3 Mathematical analysis for different liquid crystal models 26 4 Numerical methods for computing stable defects of liquid crystals 38 5 Numerical methods for computing liquid crystal hydrodynamics 51 6 Numerical methods for computing transition pathways and solution landscape of liquid crystals 58 7 Conclusion and future directions 69 8 Appendix 74 References 76 2 Acta Numerica 1. Introduction Liquid crystals (LCs) are classical examples of partially ordered materi- als that translate freely as liquid and exhibit some long-range order above a critical concentration or below a critical temperature. -
Appendix E Nobel Prizes in Nuclear Science
Nuclear Science—A Guide to the Nuclear Science Wall Chart ©2018 Contemporary Physics Education Project (CPEP) Appendix E Nobel Prizes in Nuclear Science Many Nobel Prizes have been awarded for nuclear research and instrumentation. The field has spun off: particle physics, nuclear astrophysics, nuclear power reactors, nuclear medicine, and nuclear weapons. Understanding how the nucleus works and applying that knowledge to technology has been one of the most significant accomplishments of twentieth century scientific research. Each prize was awarded for physics unless otherwise noted. Name(s) Discovery Year Henri Becquerel, Pierre Discovered spontaneous radioactivity 1903 Curie, and Marie Curie Ernest Rutherford Work on the disintegration of the elements and 1908 chemistry of radioactive elements (chem) Marie Curie Discovery of radium and polonium 1911 (chem) Frederick Soddy Work on chemistry of radioactive substances 1921 including the origin and nature of radioactive (chem) isotopes Francis Aston Discovery of isotopes in many non-radioactive 1922 elements, also enunciated the whole-number rule of (chem) atomic masses Charles Wilson Development of the cloud chamber for detecting 1927 charged particles Harold Urey Discovery of heavy hydrogen (deuterium) 1934 (chem) Frederic Joliot and Synthesis of several new radioactive elements 1935 Irene Joliot-Curie (chem) James Chadwick Discovery of the neutron 1935 Carl David Anderson Discovery of the positron 1936 Enrico Fermi New radioactive elements produced by neutron 1938 irradiation Ernest Lawrence -
Introductory Guide for Authors This Guide Is for Early-Career Researchers Who Are Beginning to Write Papers for Publication
Introductory guide for authors This guide is for early-career researchers who are beginning to write papers for publication. publishingsupport.iopscience.org publishingsupport.iopscience.org This guide is for early-career researchers who are beginning to write papers for publication. Academic publishing is rapidly changing, with new technologies and publication models giving authors much more choice over where and how to publish their work. Whether you are writing up the results of a PhD chapter or submitting your first paper, knowing how to prepare your work for publication is essential. This guide will provide an overview of academic publishing and advice on how to make the most of the process for sharing your research. For more information and to download a digital version of this guide go to publishingsupport.iopscience.org. c o n t e n t s Page Choosing where to submit your paper 4 Writing and formatting 6 Peer-review process 8 Revising and responding to referee reports 10 Acceptance and publication 12 Promoting your published work 13 Copyright and ethical integrity 14 Frequently asked questions 15 Publishing glossary 16 IOP publications 18 Introductory guide for authors 3 publishingsupport.iopscience.org Choosing where to submit your paper It can be tempting to begin writing a paper before giving much thought to where it might be published. However, choosing a journal to target before you begin to prepare your paper will enable you to tailor your writing to the journal’s audience and format your paper according to its specific guidelines, which you may find on the journal’s website. -
All-Optical Signal Processing and Microwave Photonics Using
All-Optical Signal Processing and Microwave Photonics Using Nonlinear Optics Mohammad Rezagholipour Dizaji Electrical and Computer Engineering Department Photonics Systems Group McGill University, Montreal, Canada Submitted November 2016 A thesis submitted to McGill University in partial fulfillment of the requirements of the degree of Doctor of Philosophy © 2016 Mohammad Rezagholipour Dizaji All Rights Reserved. No Part of this document may be reproduced, stored or otherwise retained in a retrieval system or transmitted in any form, on any medium by any means without prior written permission of the author. Abstract Processing of high speed optical signals in the optical domain, referred to as optical signal processing, is required for many applications in the telecommunication systems and networks. Many optical signal processing techniques have been studied in the literature where most of them are based on nonlinear optics such as 2nd order and 3rd order nonlinear effects. A wide range of nonlinear media are used for performing these nonlinear optical signal processing applications such as optical fibres, semiconductor optical amplifiers, and different types of optical waveguides. In this thesis, we use nonlinear optics to perform nonlinear optical signal processing and microwave photonics applications. First we propose and experimentally demonstrate an optical signal processing module that will be used for recognition of spectral amplitude code (SAC) labels in optical packet-switched networks. We use the nonlinear effect FWM in a highly nonlinear fibre (HNLF) for generation of a unique FWM idler for each SAC label referred to as a label identifier (LI). A serial array of fibre Bragg gratings is then used to reflect the LI wavelengths. -
Dispersion Tailoring in Both Integrated Photonics and Fiber- Optic Based Devices
Thesis for the degree of Doctor of Philosophy Dispersion tailoring in both integrated photonics and fiber- optic based devices Sara Mas Gómez Supervisors: Javier Martí Sendra Jesús Palací López Valencia, June 2015 Agradecimientos Esta Tesis se la quiero dedicar en especial a mi padre porque ‘es muy sencillo de entender’. A mi madre, a mis hermanos y a mi cuñada, por todo su apoyo y cariño incondicional. A mis sobrinos, Dani y Jose, porque son lo más bonito del mundo. A mi director de Tesis Dr. Javier Martí por todas las directrices, consejos e ideas que me ha aportado durante estos años. A mi co-director Dr. Jesús Palací por su apoyo y ánimo constante y por todos los momentos en los que hemos ‘revolucionado la ciencia’ a base de Aquarius, cervezas y anchoas. A toda la gente del NTC, en especial a mi ‘bro’ Luis por su alegría incansable y contagiosa, a Sergio por sus estadísticas imposibles y juegos de palabras, a Marghe por su paciencia infinita, a Álvaro por ser el mejor compañero de futbolín de Alginet y más allá, a Alba por los ratos pasados en el laboratorio y a toda la pandilla de la hora de la comida Mario, Diego, Álex, Fede, Pau, Ángela, Andrés y Javi. A Julio y a Antoine por toda la ayuda y dudas resueltas siempre con una sonrisa. Mil millones de gracias a David Zurita, por todas las idas y venidas, reparaciones y consultas en los laboratorios. Gracias también al gran Amadeu Griol, por las infinitas muestras, intentos y modificaciones. A los grandes que ya se fueron del NTC, Fede ‘el argentino’, Claudio, Joaquín, Guillermo, Jordi, Mercé, Begoña, Javi, Pak, Josema y Pere.