Polyadic Braid Operators and Higher Braiding Gates
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Package 'Popbio'
Package ‘popbio’ February 1, 2020 Version 2.7 Author Chris Stubben, Brook Milligan, Patrick Nantel Maintainer Chris Stubben <[email protected]> Title Construction and Analysis of Matrix Population Models License GPL-3 Encoding UTF-8 LazyData true Suggests quadprog Description Construct and analyze projection matrix models from a demography study of marked individu- als classified by age or stage. The package covers methods described in Matrix Population Mod- els by Caswell (2001) and Quantitative Conservation Biology by Morris and Doak (2002). RoxygenNote 6.1.1 NeedsCompilation no Repository CRAN Date/Publication 2020-02-01 20:10:02 UTC R topics documented: 01.Introduction . .3 02.Caswell . .3 03.Morris . .5 aq.census . .6 aq.matrix . .7 aq.trans . .8 betaval............................................9 boot.transitions . 11 calathea . 13 countCDFxt . 14 damping.ratio . 15 eigen.analysis . 16 elasticity . 18 1 2 R topics documented: extCDF . 19 fundamental.matrix . 20 generation.time . 21 grizzly . 22 head2 . 24 hudcorrs . 25 hudmxdef . 25 hudsonia . 26 hudvrs . 27 image2 . 28 Kendall . 29 lambda . 31 lnorms . 32 logi.hist.plot . 33 LTRE ............................................ 34 matplot2 . 37 matrix2 . 38 mean.list . 39 monkeyflower . 40 multiresultm . 42 nematode . 43 net.reproductive.rate . 44 pfister.plot . 45 pop.projection . 46 projection.matrix . 48 QPmat . 50 reproductive.value . 51 resample . 52 secder . 53 sensitivity . 55 splitA . 56 stable.stage . 57 stage.vector.plot . 58 stoch.growth.rate . 59 stoch.projection . 60 stoch.quasi.ext . 62 stoch.sens . 63 stretchbetaval . 64 teasel . 65 test.census . 66 tortoise . 67 var2 ............................................. 68 varEst . 69 vitalsens . 70 vitalsim . 71 whale . 74 woodpecker . 74 Index 76 01.Introduction 3 01.Introduction Introduction to the popbio Package Description Popbio is a package for the construction and analysis of matrix population models. -
Workshop on Modern Applied Mathematics PK 2012 Kraków 23 — 24 November 2012
Workshop on Modern Applied Mathematics PK 2012 Kraków 23 — 24 November 2012 Warsztaty z Nowoczesnej Matematyki i jej Zastosowań Kraków 23 — 24 listopada 2012 Kraków 23 — 24 November 2012 3 Contents 1 Introduction 5 1.1 Organizing Committee . 6 1.2 Scientific Committee . 6 2 List of Participants 7 3 Abstracts 11 3.1 On residually finite groups Orest D. Artemovych . 11 3.2 Some properties of Bernstein-Durrmeyer operators Magdalena Baczyńska . 12 3.3 Some Applications of Gröbner Bases Katarzyna Bolek . 14 3.4 Criteria for normality via C0-semigroups and moment sequences Dariusz Cichoń . 15 3.5 Picard–Fuchs operator for certain one parameter families of Calabi–Yau threefolds Sławomir Cynk . 16 3.6 Inference with Missing data Christiana Drake . 17 3.7 An outer measure on a commutative ring Dariusz Dudzik . 18 3.8 Resampling methods for weakly dependent sequences Elżbieta Gajecka-Mirek . 18 3.9 Graphs with path systems of length k in a hamiltonian cycle Grzegorz Gancarzewicz . 19 3.10 Hausdorff gaps and automorphisms of P(N)=fin Magdalena Grzech . 20 3.11 Functional Regression Models with Structured Penalties Jarosław Harezlak, Madan Kundu . 21 3.12 Approximation of function of two variables from exponential weight spaces Monika Herzog . 22 3.13 The existence of a weak solution of the semilinear first-order differential equation in a Banach space Mariusz Jużyniec . 25 3.14 Bayesian inference for cyclostationary time series Oskar Knapik . 26 4 Workshop on Modern Applied Mathematics PK 2012 3.15 Hausdorff limit in o-minimal structures Beata Kocel–Cynk . 27 3.16 Resampling methods for nonstationary time series Jacek Leśkow . -
Projects and Publications of the Applied Mathematics Division
NATIONAL BUREAU OF STANDARDS REPORT 4546 PROJECTS and PUBLICATIONS of the APPLIED MATHEMATICS DIVISION A Quarterly Report October through December 1 955 U. S. DEPARTMENT OF COMMERCE NATIONAL BUREAU OF STANDARDS FOR OFFICIAL DISTRIBUTION U. S. DEPARTMENT OF COMMERCE Sinclair Weeks, Secretary NATIONAL BUREAU OF STANDARDS A. V. Astin, Director THE NATIONAL BUREAU OF STANDARDS The 6cope of activities of the National Bureau of Standards is suggested in the following listing of the divisions and sections engaged in technical work. In general, each section is engaged in specialized research, development, and engineering in the field indicated by its title. A brief description of the activities, and of the resultant reports and publications, appears on the inside of the back cover of this report. Electricity and Electronics. Resistance and Reactance. Electron Tubes. Electrical Instru- ments. Magnetic Measurements. Process Technology. Engineering Electronics. Electronic Instrumentation. Electrochemistry. Optics and Metrology. Photometry and Colorimetry. Optical Instruments. Photographic Technology. Length. Engineering Metrology. Heat and Power. Temperature Measurements. Thermodynamics. Cryogenic Physics. Engines and Lubrication. Engine Fuels. Atomic and Radiation Physics. Spectroscopy. Radiometry. Mass Spectrometry. Solid State Physics. Electron Physics. Atomic Physics. Nuclear Physics. Radioactivity. X-rays. Betatron. Nucleonic Instrumentation. Radiological Equipment. AEC Radiation Instruments. Chemistry. Organic Coatings. Surface Chemistry. Organic -
Projects and Publications of the Applied Mathematics Division
NATIONAL BUREAU OF STANDARDS REPORT 4658 PROJECTS and PUBLICATIONS of the APPLIED MATHEMATICS DIVISION A Quarterly Report January through March, 1956 U. S. DEPARTMENT OF COMMERCE NATIONAL BUREAU OF STANDARDS FOR OFFICIAL DISTRIBUTION U. S. DEPARTMENT OF COMMERCE Sinclair Weeks, Secretary NATIONAL BUREAU OF STANDARDS A. V. Astin, Director THE NATIONAL BUREAU OF STANDARDS The scope of activities of the National Bureau of Standards is suggested in the following listing of the divisions and sections engaged in technical work. In general, each section is engaged in specialized research, development, and engineering in the field indicated by its title. A brief description of the activities, and of the resultant reports and publications, appears on the inside of the back cover of this report. Electricity and Electronics. Resistance and Reactance. Electron Tubes. Electrical Instru- ments. Magnetic Measurements. Process Technology. Engineering Electronics. Electronic Instrumentation. Electrochemistry. Optics and Metrology. Photometry and Colorimetry. Optical Instruments. Photographic Technology. Length. Engineering Metrology. Heat and Power. Temperature Measurements. Thermodynamics. Cryogenic Physics. Engines and Lubrication. Engine Fuels. Atomic and Radiation Physics. Spectroscopy. Radiometry. Mass Spectrometry. Solid State Physics. Electron Physics. Atomic Physics. Nuclear Physics. Radioactivity. X-rays. Betatron. Nucleonic Instrumentation. Radiological Equipment. AEC Radiation Instruments. Chemistry. Organic Coatings. Surface Chemistry. Organic -
MATRIX OPERATORS and the KLEIN FOUR GROUP Ginés R Pérez Teruel
Palestine Journal of Mathematics Vol. 9(1)(2020) , 402–410 © Palestine Polytechnic University-PPU 2020 MATRIX OPERATORS AND THE KLEIN FOUR GROUP Ginés R Pérez Teruel Communicated by José Luis López Bonilla MSC 2010 Classifications: Primary 15B99,15A24; Secondary 20K99. Keywords and phrases: Klein Four Group; Per-symmetric Matrices; Matrix Algebra. I am in debt to C. Caravello for useful comments and suggestions. Abstract. In this note we show that the set of operators, S = fI; T; P; T ◦ P g that consists of the identity I, the usual transpose T , the per-transpose P and their product T ◦ P , forms a Klein Four-Group with the composition. With the introduced framework, we study in detail the properties of bisymmetric, centrosymmetric matrices and other algebraic structures, and we provide new definitions and results concerning these structures. In particular, we show that the per-tansposition allows to define a degenerate inner product of vectors, a cross product and a dyadic product of vectors with some interesting properties. In the last part of the work, we provide another realization of the Klein Group involving the tensorial product of some 2 × 2 matrices. 1 Introduction and background n×m Definition 1.1. Let A 2 R . If A = [aij] for all 1 ≤ i ≤ n, 1 ≤ j ≤ m, then P (A) is the per-transpose of A, and operation defined by P [aij] = [am−j+1;n−i+1] (1.1) Consequently, P (A) 2 Rm×n. Here, we list some properties: (i) P ◦ P (A) = A (ii) P (A ± B) = P (A) ± P (B) if A, B 2 Rn×m (iii) P (αA) = αP (A) if α 2 R (iv) P (AB) = P (B)P (A) if A 2 Rm×n, B 2 Rn×p (v) P ◦ T (A) = T ◦ P (A) where T (A) is the transpose of A (vi) det(P (A)) = det(A) (vii) P (A)−1 = P (A−1) if det(A) =6 0 The proofs of these properties follow directly from the definition. -
Package 'Matrix'
Package ‘Matrix’ March 8, 2019 Version 1.2-16 Date 2019-03-04 Priority recommended Title Sparse and Dense Matrix Classes and Methods Contact Doug and Martin <[email protected]> Maintainer Martin Maechler <[email protected]> Description A rich hierarchy of matrix classes, including triangular, symmetric, and diagonal matrices, both dense and sparse and with pattern, logical and numeric entries. Numerous methods for and operations on these matrices, using 'LAPACK' and 'SuiteSparse' libraries. Depends R (>= 3.2.0) Imports methods, graphics, grid, stats, utils, lattice Suggests expm, MASS Enhances MatrixModels, graph, SparseM, sfsmisc Encoding UTF-8 LazyData no LazyDataNote not possible, since we use data/*.R *and* our classes BuildResaveData no License GPL (>= 2) | file LICENCE URL http://Matrix.R-forge.R-project.org/ BugReports https://r-forge.r-project.org/tracker/?group_id=61 Author Douglas Bates [aut], Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Timothy A. Davis [ctb] (SuiteSparse and 'cs' C libraries, notably CHOLMOD, AMD; collaborators listed in dir(pattern = '^[A-Z]+[.]txt$', full.names=TRUE, system.file('doc', 'SuiteSparse', package='Matrix'))), Jens Oehlschlägel [ctb] (initial nearPD()), Jason Riedy [ctb] (condest() and onenormest() for octave, Copyright: Regents of the University of California), R Core Team [ctb] (base R matrix implementation) 1 2 R topics documented: Repository CRAN Repository/R-Forge/Project matrix Repository/R-Forge/Revision 3291 Repository/R-Forge/DateTimeStamp 2019-03-04 11:00:53 Date/Publication 2019-03-08 15:33:45 UTC NeedsCompilation yes R topics documented: abIndex-class . .4 abIseq . .6 all-methods . .7 all.equal-methods . -
A Complete Bibliography of Publications in Linear Algebra and Its Applications: 2010–2019
A Complete Bibliography of Publications in Linear Algebra and its Applications: 2010{2019 Nelson H. F. Beebe University of Utah Department of Mathematics, 110 LCB 155 S 1400 E RM 233 Salt Lake City, UT 84112-0090 USA Tel: +1 801 581 5254 FAX: +1 801 581 4148 E-mail: [email protected], [email protected], [email protected] (Internet) WWW URL: http://www.math.utah.edu/~beebe/ 12 March 2021 Version 1.74 Title word cross-reference KY14, Rim12, Rud12, YHH12, vdH14]. 24 [KAAK11]. 2n − 3[BCS10,ˇ Hil13]. 2 × 2 [CGRVC13, CGSCZ10, CM14, DW11, DMS10, JK11, KJK13, MSvW12, Yan14]. (−1; 1) [AAFG12].´ (0; 1) 2 × 2 × 2 [Ber13b]. 3 [BBS12b, NP10, Ghe14a]. (2; 2; 0) [BZWL13, Bre14, CILL12, CKAC14, Fri12, [CI13, PH12]. (A; B) [PP13b]. (α, β) GOvdD14, GX12a, Kal13b, KK14, YHH12]. [HW11, HZM10]. (C; λ; µ)[dMR12].(`; m) p 3n2 − 2 2n3=2 − 3n [MR13]. [DFG10]. (H; m)[BOZ10].(κ, τ) p 3n2 − 2 2n3=23n [MR14a]. 3 × 3 [CSZ10, CR10c]. (λ, 2) [BBS12b]. (m; s; 0) [Dru14, GLZ14, Sev14]. 3 × 3 × 2 [Ber13b]. [GH13b]. (n − 3) [CGO10]. (n − 3; 2; 1) 3 × 3 × 3 [BH13b]. 4 [Ban13a, BDK11, [CCGR13]. (!) [CL12a]. (P; R)[KNS14]. BZ12b, CK13a, FP14, NSW13, Nor14]. 4 × 4 (R; S )[Tre12].−1 [LZG14]. 0 [AKZ13, σ [CJR11]. 5 Ano12-30, CGGS13, DLMZ14, Wu10a]. 1 [BH13b, CHY12, KRH14, Kol13, MW14a]. [Ano12-30, AHL+14, CGGS13, GM14, 5 × 5 [BAD09, DA10, Hil12a, Spe11]. 5 × n Kal13b, LM12, Wu10a]. 1=n [CNPP12]. [CJR11]. 6 1 <t<2 [Seo14]. 2 [AIS14, AM14, AKA13, [DK13c, DK11, DK12a, DK13b, Kar11a]. -
Trends in Field Theory Research
Complimentary Contributor Copy Complimentary Contributor Copy MATHEMATICS RESEARCH DEVELOPMENTS ADVANCES IN LINEAR ALGEBRA RESEARCH No part of this digital document may be reproduced, stored in a retrieval system or transmitted in any form or by any means. The publisher has taken reasonable care in the preparation of this digital document, but makes no expressed or implied warranty of any kind and assumes no responsibility for any errors or omissions. No liability is assumed for incidental or consequential damages in connection with or arising out of information contained herein. This digital document is sold with the clear understanding that the publisher is not engaged in rendering legal, medical or any other professional services. Complimentary Contributor Copy MATHEMATICS RESEARCH DEVELOPMENTS Additional books in this series can be found on Nova’s website under the Series tab. Additional e-books in this series can be found on Nova’s website under the e-book tab. Complimentary Contributor Copy MATHEMATICS RESEARCH DEVELOPMENTS ADVANCES IN LINEAR ALGEBRA RESEARCH IVAN KYRCHEI EDITOR New York Complimentary Contributor Copy Copyright © 2015 by Nova Science Publishers, Inc. All rights reserved. No part of this book may be reproduced, stored in a retrieval system or transmitted in any form or by any means: electronic, electrostatic, magnetic, tape, mechanical photocopying, recording or otherwise without the written permission of the Publisher. For permission to use material from this book please contact us: [email protected] NOTICE TO THE READER The Publisher has taken reasonable care in the preparation of this book, but makes no expressed or implied warranty of any kind and assumes no responsibility for any errors or omissions. -
The General Coupled Matrix Equations Over Generalized Bisymmetric Matrices ∗ Mehdi Dehghan , Masoud Hajarian
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Linear Algebra and its Applications 432 (2010) 1531–1552 Contents lists available at ScienceDirect Linear Algebra and its Applications journal homepage: www.elsevier.com/locate/laa The general coupled matrix equations over generalized bisymmetric matrices ∗ Mehdi Dehghan , Masoud Hajarian Department of Applied Mathematics, Faculty of Mathematics and Computer Science, Amirkabir University of Technology, No. 424, Hafez Avenue, Tehran 15914, Iran ARTICLE INFO ABSTRACT Article history: Received 20 May 2009 In the present paper, by extending the idea of conjugate gradient Accepted 12 November 2009 (CG) method, we construct an iterative method to solve the general Available online 16 December 2009 coupled matrix equations Submitted by S.M. Rump p AijXjBij = Mi,i= 1, 2, ...,p, j=1 AMS classification: 15A24 (including the generalized (coupled) Lyapunov and Sylvester matrix 65F10 equations as special cases) over generalized bisymmetric matrix 65F30 group (X1,X2, ...,Xp). By using the iterative method, the solvability of the general coupled matrix equations over generalized bisym- Keywords: metric matrix group can be determined in the absence of roundoff Iterative method errors. When the general coupled matrix equations are consistent Least Frobenius norm solution group over generalized bisymmetric matrices, a generalized bisymmetric Optimal approximation generalized solution group can be obtained within finite iteration steps in the bisymmetric solution group Generalized bisymmetric matrix absence of roundoff errors. The least Frobenius norm generalized General coupled matrix equations bisymmetric solution group of the general coupled matrix equa- tions can be derived when an appropriate initial iterative matrix group is chosen. -
A. Appendix: Some Mathematical Concepts
A. APPENDIX: SOME MATHEMATICAL CONCEPTS Overview This appendix on mathematical concepts is simply intended to aid readers who would benefit from a refresher on material they learned in the past or possibly never learned at all. Included here are basic definitions and examples pertaining to aspects of set theory, numerical linear algebra, met- ric properties of sets in real n-space, and analytical properties of functions. Among the latter are such matters as continuity, differentiability, and con- vexity. A.1 Basic terminology and notation from set theory This section recalls some general definitions and notation from set theory. In Section A.4 we move on to consider particular kinds of sets; in the process, we necessarily draw certain functions into the discussion. A set is a collection of objects belonging to some universe of discourse. The objects belonging to the collection (i.e., set) are said to be its members or elements.Thesymbol∈ is used to express the membership of an object in a set. If x is an object and A is a set, the statement that x is an element of A (or x belongs to A) is written x ∈ A. To negate the membership of x in the set A we write x/∈ A. The set of all objects, in the universe of discourse, not belonging to A is called the complement of A. There are many different notations used for the complement of a set A. One of the most popular is Ac. The cardinality of a set is the number of its elements. A set A can have cardinality zero in which case it is said to be empty. -
ESD.342 Network Representations Lecture 4
Basic Network Properties and How to Calculate Them • Data input • Number of nodes • Number of edges • Symmetry • Degree sequence • Average nodal degree • Degree distribution • Clustering coefficient • Average hop distance (simplified average distance) • Connectedness • Finding and characterizing connected clusters 2/16/2011 Network properties © Daniel E Whitney 1997-2006 1 Matlab Preliminaries • In Matlab everything is an array •So – a = [ 2 5 28 777] – for i = a – do something –end • Will “do something” for i = the values in array a • [a;b;c] yields a column containing a b c • [a b c] yields a row containing a b c 2/16/2011 Network properties © Daniel E Whitney 1997-2006 2 Matrix Representation of Networks »A=[0 1 0 1;1 0 1 1;0 1 0 0;1 1 0 0] 1 2 A = 0 1 0 1 1 3 4 0 1 1 0 1 0 0 1 1 0 0 » A is called the adjacency matrix A(i, j) = 1 if there is an arc from i to j A( j,i) = 1 if there is also an arc from j to i In this case A is symmetric and the graph is undirected 2/16/2011 Network properties © Daniel E Whitney 1997-2006 3 Directed, Undirected, Simple • Directed graphs have one-way arcs or links • Undirected graphs have two-way edges or links • Mixed graphs have some of each • Simple graphs have no multiple links between nodes and no self-loops 2/16/2011 Network properties © Daniel E Whitney 1997-2006 4 Basic Facts About Undirected Graphs • Let n be the number of nodes and m be the number of edges •Thenaverage nodal degree is < k >= 2m /n •TheDegree sequence is a list of the nodes and their respective degrees n • The sum of these degrees -
Solution of the Incompressible Navier- Stokes Equations on Unstructured Meshes
Solution of the Incompressible Navier- Stokes Equations on Unstructured Meshes by David J. Charlesworth Submitted for the Degree o f Doctor o f Philosophy The Department o f Mechanical Engineering University College London August 2003 UMI Number: U6028B6 All rights reserved INFORMATION TO ALL USERS The quality of this reproduction is dependent upon the quality of the copy submitted. In the unlikely event that the author did not send a complete manuscript and there are missing pages, these will be noted. Also, if material had to be removed, a note will indicate the deletion. Dissertation Publishing UMI U602836 Published by ProQuest LLC 2014. Copyright in the Dissertation held by the Author. Microform Edition © ProQuest LLC. All rights reserved. This work is protected against unauthorized copying under Title 17, United States Code. ProQuest LLC 789 East Eisenhower Parkway P.O. Box 1346 Ann Arbor, Ml 48106-1346 ABSTRACT Since Patankar first developed the SIMPLE (Semi Implicit Method for Pressure Linked Equations) algorithm, the incompressible Navier-Stokes equations have been solved using a variety of pressure-based methods. Over the last twenty years these methods have been refined and developed however the majority of this work has been based around the use of structured grids to mesh the fluid domain of interest. Unstructured grids offer considerable advantages over structured meshes when a fluid in a complex domain is being modelled. By using triangles in two dimensions and tetrahedrons in three dimensions it is possible to mesh many problems for which it would be impossible to use structured grids. In addition to this, unstructured grids allow meshes to be generated with relatively little effort, in comparison to structured grids, and therefore shorten the time taken to model a particular problem.