ebook img

Computer Algebra in Scientific Computing PDF

162 Pages·2019·4.088 MB·English
Save to my drive
Quick download
Download
Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.

Preview Computer Algebra in Scientific Computing

Computer Algebra in Scientific Computing Edited by Andreas Weber Printed Edition of the Special Issue Published in Mathematics www.mdpi.com/journal/mathematics Computer Algebra in Scientific Computing Computer Algebra in Scientific Computing SpecialIssueEditor AndreasWeber MDPI•Basel•Beijing•Wuhan•Barcelona•Belgrade SpecialIssueEditor AndreasWeber BonnUniversity Germany EditorialOffice MDPI St.Alban-Anlage66 4052Basel,Switzerland This is a reprint of articles from the Special Issue published online in the open access journal Mathematics (ISSN 2227-7390) from 2018 to 2019 (available at: https://www.mdpi.com/journal/ mathematics/specialissues/ComputerAlgebra) Forcitationpurposes,citeeacharticleindependentlyasindicatedonthearticlepageonlineandas indicatedbelow: LastName,A.A.; LastName,B.B.; LastName,C.C.ArticleTitle. JournalNameYear,ArticleNumber, PageRange. ISBN978-3-03921-730-4(Pbk) ISBN978-3-03921-731-1(PDF) (cid:2)c 2019bytheauthors. ArticlesinthisbookareOpenAccessanddistributedundertheCreative Commons Attribution (CC BY) license, which allows users to download, copy and build upon publishedarticles,aslongastheauthorandpublisherareproperlycredited,whichensuresmaximum disseminationandawiderimpactofourpublications. ThebookasawholeisdistributedbyMDPIunderthetermsandconditionsoftheCreativeCommons licenseCCBY-NC-ND. Contents AbouttheSpecialIssueEditor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii Prefaceto”ComputerAlgebrainScientificComputing”. . . . . . . . . . . . . . . . . . . . . . . ix Mohammadali Asadi, Alexander Brandt, Robert H. C. Moir and Marc Moreno Maza Algorithms and Data Structures for Sparse Polynomial Arithmetic Reprintedfrom:Mathematics2019,7,441,doi:10.3390/math7050441 . . . . . . . . . . . . . . . . . 1 XiaojieDouandJin-SanCheng AHeuristicMethodforCertifyingIsolatedZerosofPolynomialSystems Reprintedfrom:Mathematics2018,6,166,doi:10.3390/math6090166 . . . . . . . . . . . . . . . . . 30 MarioAlbertandWernerM.Seiler ResolvingDecompositionsforPolynomialModules Reprintedfrom:Mathematics2018,6,161,doi:10.3390/math6090161 . . . . . . . . . . . . . . . . . 48 Valery Antonov, Wilker Fernandes, Valery G. Romanovski and Natalie L. Shcheglova First Integrals of the May–Leonard Asymmetric System Reprintedfrom:Mathematics2019,7,292,doi:10.3390/math7030292 . . . . . . . . . . . . . . . . . 65 Erhan G¨ulera nd O¨mer Kis¸i Dini-Type Helicoidal Hypersurfaces with Timelike Axis in Minkowski 4-Space E41 Reprintedfrom:Mathematics2019,7,205,doi:10.3390/math7020205 . . . . . . . . . . . . . . . . . 80 ErhanGu¨ler,O¨merKis¸iandChristosKonaxis ImplicitEquationsoftheHenneberg-TypeMinimalSurfaceintheFour-DimensionalEuclidean Space Reprintedfrom:Mathematics2018,6,279,doi:10.3390/math6120279 . . . . . . . . . . . . . . . . . 88 FarnooshHajati,AliIranmaneshandAbolfazlTehranian ACharacterizationofProjectiveSpecialUnitaryGroupPSU(3,3)andProjectiveSpecialLinear GroupPSL(3,3)byNSE Reprintedfrom:Mathematics2018,6,120,doi:10.3390/math6070120 . . . . . . . . . . . . . . . . . 98 MauriceR.Kibler QuantumInformation:ABriefOverviewandSomeMathematicalAspects Reprintedfrom:Mathematics2018,6,273,doi:10.3390/math6120273 . . . . . . . . . . . . . . . . . 108 v About the Special Issue Editor Andreas Weber (Prof. Dr.) studied mathematics and computer science at the Universities of Tu¨bingen, Germany, and Boulder, Colorado, U.S.A. He was awarded his MS in Mathematics (Dipl.-Math)in1990andhisPh.D.(Dr.rer.nat.)incomputersciencefromtheUniversityofTu¨bingen in1993.From1995to1997,hewasawardedascholarshipfromDeutscheForschungsgemeinschaftto conductresearchasapostdoctoralfellowattheComputerScienceDepartment,CornellUniversity. From 1997 to 1999 he was a member of the Symbolic Computation Group at the University of Tu¨bingen, Germany. From 1999 to 2001, he was a member of the research group Animation and ImageCommunicationattheFraunhoferInstitutforComputerGraphics. HehasbeenProfessorof computerscienceattheUniversityofBonn,Germany,sincehisappointmentinApril2001. Hehas servedasChairoftheDepartmentofComputerSciencefrom2014to2016. Duringhisacademic career, hehaswrittenmorethan100papersforjournalsandrefereedconferenceproceedingsand hasbeenthefirstsupervisorof9completedPh.D.thesesandover70master’sandbachelor’stheses. Hehasservedasareviewerformorethan60differentjournalsandconferences.In2013,hehasbeen awardedtheTeachingAwardoftheUniversityofBonn. vii Preface to ”Computer Algebra in Scientific Computing” Although scientific computing is very often associated with numeric computations, the use of computer algebra methods in scientific computing has obtained considerable attention in the last two decades. Computer algebra methods are especially suitable for parametric analysis of the key properties of systems arising in scientific computing. The expression-based computational answers generally provided by these methods are very appealing as they directly relate properties to parameters and speed up testing and tuning of mathematical models through all their possible behaviors. The articles contained in this book cover a broad range of topics in the context of computer algebra in scientific computing. At the core of many computer algebra methods are algorithms for multivariate polynomials, and the first article on “Algorithms and Data Structures for Sparse Polynomial Arithmetic” is at the essence of this core, giving a comprehensive presentation of algorithms, data structures, and implementation techniques for high-performance sparse multivariate polynomial arithmetic over the integers and rational numbers as implemented in the freely available Basic Polynomial Algebra Subprograms (BPAS) library. “A Heuristic Method for Certifying Isolated Zeros of Polynomial Systems” deals with the fundamental problem of certifying the isolated zeros of polynomial systems. Computing Gr¨obner bases and other kind of bases is another core of computer algebra. In “Resolving Decompositions for Polynomial Modules”, the authors deal with a fundamental task in “computational commutative algebra and algebraic geometry”, namely, the determination of free resolutions for polynomial modules. They introduce the novel concept of resolving decomposition of a polynomial module as a combinatorial structure that allows for the effective construction of free resolutions and provide a unifying framework for recent results involving different types of bases. The analysis of certain invariants of a dynamical system—which are at the heart of many problems in scientific computing—is another major area for computer algebra research. In the article “First Integrals of the May–Leonard Asymmetric System”, an important system arising in the life sciences is investigated, which is given by a quadratic system of the Lotka–Volterra type depending on six parameters. The authors look for subfamilies admitting invariant algebraic surfaces of degree two, and then for some such subfamilies, they construct first integrals of the Darboux type, identifying the systems with one first integral or with two independent first integrals. A problem based in physics, namely “Minkowski 4-space”, is treated in the article “Dini-Type Helicoidal Hypersurfaces with Timelike Axis in Minkowski 4-Space”. The authors consider Ulisse Dini-type helicoidal hypersurfaces with timelike axis in Minkowski 4-space, and by calculating the Gaussian and mean curvatures of the hypersurfaces, they demonstrate some special symmetries for the curvatures when they are flat and minimal. In the article “Implicit Equations of the Henneberg-Type Minimal Surface in the Four-Dimensional Euclidean Space” the authors find implicit algebraic equations of the Henneberg-type minimal surface of values (4,2). The exciting field of quantum computing has also lead to several problems in computer algebra. In “Quantum Information: A Brief Overview and Some Mathematical Aspects”, not only is a review of the main ideas behind quantum computing and quantum information presented, but the focus is also on some mathematical problems related to the so-called mutually unbiased bases used in quantum computing and quantum information processing. In this direction, the construction of mutually unbiased bases is presented via two distinct approaches: one based on the group SU(2) and the other on Galois fields and Galois rings. Andreas Weber Special Issue Editor ix

See more

The list of books you might like

Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.