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Configuring UNIX-Specific Settings: Creating Symbolic Links : Snap
Configuring UNIX-specific settings: Creating symbolic links Snap Creator Framework NetApp September 23, 2021 This PDF was generated from https://docs.netapp.com/us-en/snap-creator- framework/installation/task_creating_symbolic_links_for_domino_plug_in_on_linux_and_solaris_hosts.ht ml on September 23, 2021. Always check docs.netapp.com for the latest. Table of Contents Configuring UNIX-specific settings: Creating symbolic links . 1 Creating symbolic links for the Domino plug-in on Linux and Solaris hosts. 1 Creating symbolic links for the Domino plug-in on AIX hosts. 2 Configuring UNIX-specific settings: Creating symbolic links If you are going to install the Snap Creator Agent on a UNIX operating system (AIX, Linux, and Solaris), for the IBM Domino plug-in to work properly, three symbolic links (symlinks) must be created to link to Domino’s shared object files. Installation procedures vary slightly depending on the operating system. Refer to the appropriate procedure for your operating system. Domino does not support the HP-UX operating system. Creating symbolic links for the Domino plug-in on Linux and Solaris hosts You need to perform this procedure if you want to create symbolic links for the Domino plug-in on Linux and Solaris hosts. You should not copy and paste commands directly from this document; errors (such as incorrectly transferred characters caused by line breaks and hard returns) might result. Copy and paste the commands into a text editor, verify the commands, and then enter them in the CLI console. The paths provided in the following steps refer to the 32-bit systems; 64-bit systems must create simlinks to /usr/lib64 instead of /usr/lib. -
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. -
Determinant Notes
68 UNIT FIVE DETERMINANTS 5.1 INTRODUCTION In unit one the determinant of a 2× 2 matrix was introduced and used in the evaluation of a cross product. In this chapter we extend the definition of a determinant to any size square matrix. The determinant has a variety of applications. The value of the determinant of a square matrix A can be used to determine whether A is invertible or noninvertible. An explicit formula for A–1 exists that involves the determinant of A. Some systems of linear equations have solutions that can be expressed in terms of determinants. 5.2 DEFINITION OF THE DETERMINANT a11 a12 Recall that in chapter one the determinant of the 2× 2 matrix A = was a21 a22 defined to be the number a11a22 − a12 a21 and that the notation det (A) or A was used to represent the determinant of A. For any given n × n matrix A = a , the notation A [ ij ]n×n ij will be used to denote the (n −1)× (n −1) submatrix obtained from A by deleting the ith row and the jth column of A. The determinant of any size square matrix A = a is [ ij ]n×n defined recursively as follows. Definition of the Determinant Let A = a be an n × n matrix. [ ij ]n×n (1) If n = 1, that is A = [a11], then we define det (A) = a11 . n 1k+ (2) If na>=1, we define det(A) ∑(-1)11kk det(A ) k=1 Example If A = []5 , then by part (1) of the definition of the determinant, det (A) = 5. -
Mac Keyboard Shortcuts Cut, Copy, Paste, and Other Common Shortcuts
Mac keyboard shortcuts By pressing a combination of keys, you can do things that normally need a mouse, trackpad, or other input device. To use a keyboard shortcut, hold down one or more modifier keys while pressing the last key of the shortcut. For example, to use the shortcut Command-C (copy), hold down Command, press C, then release both keys. Mac menus and keyboards often use symbols for certain keys, including the modifier keys: Command ⌘ Option ⌥ Caps Lock ⇪ Shift ⇧ Control ⌃ Fn If you're using a keyboard made for Windows PCs, use the Alt key instead of Option, and the Windows logo key instead of Command. Some Mac keyboards and shortcuts use special keys in the top row, which include icons for volume, display brightness, and other functions. Press the icon key to perform that function, or combine it with the Fn key to use it as an F1, F2, F3, or other standard function key. To learn more shortcuts, check the menus of the app you're using. Every app can have its own shortcuts, and shortcuts that work in one app may not work in another. Cut, copy, paste, and other common shortcuts Shortcut Description Command-X Cut: Remove the selected item and copy it to the Clipboard. Command-C Copy the selected item to the Clipboard. This also works for files in the Finder. Command-V Paste the contents of the Clipboard into the current document or app. This also works for files in the Finder. Command-Z Undo the previous command. You can then press Command-Shift-Z to Redo, reversing the undo command. -
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 . -
THREE STEPS on an OPEN ROAD Gilbert Strang This Note Describes
Inverse Problems and Imaging doi:10.3934/ipi.2013.7.961 Volume 7, No. 3, 2013, 961{966 THREE STEPS ON AN OPEN ROAD Gilbert Strang Massachusetts Institute of Technology Cambridge, MA 02139, USA Abstract. This note describes three recent factorizations of banded invertible infinite matrices 1. If A has a banded inverse : A=BC with block{diagonal factors B and C. 2. Permutations factor into a shift times N < 2w tridiagonal permutations. 3. A = LP U with lower triangular L, permutation P , upper triangular U. We include examples and references and outlines of proofs. This note describes three small steps in the factorization of banded matrices. It is written to encourage others to go further in this direction (and related directions). At some point the problems will become deeper and more difficult, especially for doubly infinite matrices. Our main point is that matrices need not be Toeplitz or block Toeplitz for progress to be possible. An important theory is already established [2, 9, 10, 13-16] for non-Toeplitz \band-dominated operators". The Fredholm index plays a key role, and the second small step below (taken jointly with Marko Lindner) computes that index in the special case of permutation matrices. Recall that banded Toeplitz matrices lead to Laurent polynomials. If the scalars or matrices a−w; : : : ; a0; : : : ; aw lie along the diagonals, the polynomial is A(z) = P k akz and the bandwidth is w. The required index is in this case a winding number of det A(z). Factorization into A+(z)A−(z) is a classical problem solved by Plemelj [12] and Gohberg [6-7]. -
Powershell Integration with Vmware View 5.0
PowerShell Integration with VMware® View™ 5.0 TECHNICAL WHITE PAPER PowerShell Integration with VMware View 5.0 Table of Contents Introduction . 3 VMware View. 3 Windows PowerShell . 3 Architecture . 4 Cmdlet dll. 4 Communication with Broker . 4 VMware View PowerCLI Integration . 5 VMware View PowerCLI Prerequisites . 5 Using VMware View PowerCLI . 5 VMware View PowerCLI cmdlets . 6 vSphere PowerCLI Integration . 7 Examples of VMware View PowerCLI and VMware vSphere PowerCLI Integration . 7 Passing VMs from Get-VM to VMware View PowerCLI cmdlets . 7 Registering a vCenter Server . .. 7 Using Other VMware vSphere Objects . 7 Advanced Usage . 7 Integrating VMware View PowerCLI into Your Own Scripts . 8 Scheduling PowerShell Scripts . 8 Workflow with VMware View PowerCLI and VMware vSphere PowerCLI . 9 Sample Scripts . 10 Add or Remove Datastores in Automatic Pools . 10 Add or Remove Virtual Machines . 11 Inventory Path Manipulation . 15 Poll Pool Usage . 16 Basic Troubleshooting . 18 About the Authors . 18 TECHNICAL WHITE PAPER / 2 PowerShell Integration with VMware View 5.0 Introduction VMware View VMware® View™ is a best-in-class enterprise desktop virtualization platform. VMware View separates the personal desktop environment from the physical system by moving desktops to a datacenter, where users can access them using a client-server computing model. VMware View delivers a rich set of features required for any enterprise deployment by providing a robust platform for hosting virtual desktops from VMware vSphere™. Windows PowerShell Windows PowerShell is Microsoft’s command line shell and scripting language. PowerShell is built on the Microsoft .NET Framework and helps in system administration. By providing full access to COM (Component Object Model) and WMI (Windows Management Instrumentation), PowerShell enables administrators to perform administrative tasks on both local and remote Windows systems. -
Where Do You Want to Go Today? Escalating
Where Do You Want to Go Today? ∗ Escalating Privileges by Pathname Manipulation Suresh Chari Shai Halevi Wietse Venema IBM T.J. Watson Research Center, Hawthorne, New York, USA Abstract 1. Introduction We analyze filename-based privilege escalation attacks, In this work we take another look at the problem of where an attacker creates filesystem links, thereby “trick- privilege escalation via manipulation of filesystem names. ing” a victim program into opening unintended files. Historically, attention has focused on attacks against priv- We develop primitives for a POSIX environment, provid- ileged processes that open files in directories that are ing assurance that files in “safe directories” (such as writable by an attacker. One classical example is email /etc/passwd) cannot be opened by looking up a file by delivery in the UNIX environment (e.g., [9]). Here, an “unsafe pathname” (such as a pathname that resolves the mail-delivery directory (e.g., /var/mail) is often through a symbolic link in a world-writable directory). In group or world writable. An adversarial user may use today's UNIX systems, solutions to this problem are typ- its write permission to create a hard link or symlink at ically built into (some) applications and use application- /var/mail/root that resolves to /etc/passwd. A specific knowledge about (un)safety of certain directories. simple-minded mail-delivery program that appends mail to In contrast, we seek solutions that can be implemented in the file /var/mail/root can have disastrous implica- the filesystem itself (or a library on top of it), thus providing tions for system security. -
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 -
Polynomials and Hankel Matrices
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Polynomials and Hankel Matrices Miroslav Fiedler Czechoslovak Academy of Sciences Institute of Mathematics iitnci 25 115 67 Praha 1, Czechoslovakia Submitted by V. Ptak ABSTRACT Compatibility of a Hankel n X n matrix W and a polynomial f of degree m, m < n, is defined. If m = n, compatibility means that HC’ = CfH where Cf is the companion matrix of f With a suitable generalization of Cr, this theorem is gener- alized to the case that m < n. INTRODUCTION By a Hankel matrix [S] we shall mean a square complex matrix which has, if of order n, the form ( ai +k), i, k = 0,. , n - 1. If H = (~y~+~) is a singular n X n Hankel matrix, the H-polynomial (Pi of H was defined 131 as the greatest common divisor of the determinants of all (r + 1) x (r + 1) submatrices~of the matrix where r is the rank of H. In other words, (Pi is that polynomial for which the nX(n+l)matrix I, 0 0 0 %fb) 0 i 0 0 0 1 LINEAR ALGEBRA AND ITS APPLICATIONS 66:235-248(1985) 235 ‘F’Elsevier Science Publishing Co., Inc., 1985 52 Vanderbilt Ave., New York, NY 10017 0024.3795/85/$3.30 236 MIROSLAV FIEDLER is the Smith normal form [6] of H,. It has also been shown [3] that qN is a (nonzero) polynomial of degree at most T. It is known [4] that to a nonsingular n X n Hankel matrix H = ((Y~+~)a linear pencil of polynomials of degree at most n can be assigned as follows: f(x) = fo + f,x + . -
Determinants Math 122 Calculus III D Joyce, Fall 2012
Determinants Math 122 Calculus III D Joyce, Fall 2012 What they are. A determinant is a value associated to a square array of numbers, that square array being called a square matrix. For example, here are determinants of a general 2 × 2 matrix and a general 3 × 3 matrix. a b = ad − bc: c d a b c d e f = aei + bfg + cdh − ceg − afh − bdi: g h i The determinant of a matrix A is usually denoted jAj or det (A). You can think of the rows of the determinant as being vectors. For the 3×3 matrix above, the vectors are u = (a; b; c), v = (d; e; f), and w = (g; h; i). Then the determinant is a value associated to n vectors in Rn. There's a general definition for n×n determinants. It's a particular signed sum of products of n entries in the matrix where each product is of one entry in each row and column. The two ways you can choose one entry in each row and column of the 2 × 2 matrix give you the two products ad and bc. There are six ways of chosing one entry in each row and column in a 3 × 3 matrix, and generally, there are n! ways in an n × n matrix. Thus, the determinant of a 4 × 4 matrix is the signed sum of 24, which is 4!, terms. In this general definition, half the terms are taken positively and half negatively. In class, we briefly saw how the signs are determined by permutations. -
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