GNU Scientific Library
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KH Computational Physics- 2016 Introduction Setting up your computing environment Installation • MAC or Linux are the preferred operating system in this course on scientific computing. • Windows can be used, but the most important programs must be installed – python : There is a nice package ”Enthought Python Distribution” http://www.enthought.com/products/edudownload.php – C++ and Fortran compiler – BLAS&LAPACK for linear algebra – plotting program such as gnuplot Kristjan Haule, 2016 –1– KH Computational Physics- 2016 Introduction Software for this course: Essentials: • Python, and its packages in particular numpy, scipy, matplotlib • C++ compiler such as gcc • Text editor for coding (for example Emacs, Aquamacs, Enthought’s IDLE) • make to execute makefiles Highly Recommended: • Fortran compiler, such as gfortran or intel fortran • BLAS& LAPACK library for linear algebra (most likely provided by vendor) • open mp enabled fortran and C++ compiler Useful: • gnuplot for fast plotting. • gsl (Gnu scientific library) for implementation of various scientific algorithms. Kristjan Haule, 2016 –2– KH Computational Physics- 2016 Introduction Installation on MAC • Install Xcode package from App Store. • Install ‘‘Command Line Tools’’ from Apple’s software site. For Mavericks and lafter, open Xcode program, and choose from the menu Xcode -> Open Developer Tool -> More Developer Tools... You will be linked to the Apple page that allows you to access downloads for Xcode. You wil have to register as a developer (free). Search for the Xcode Command Line Tools in the search box in the upper left. Download and install the correct version of the Command Line Tools, for example for OS ”El Capitan” and Xcode 7.2, Kristjan Haule, 2016 –3– KH Computational Physics- 2016 Introduction you need Command Line Tools OS X 10.11 for Xcode 7.2 Apple’s Xcode contains many libraries and compilers for Mac systems. -
GNU Scientific Library – Reference Manual
GNU Scientific Library – Reference Manual: Top http://www.gnu.org/software/gsl/manual/html_node/ GNU Scientific Library – Reference Manual Next: Introduction, Previous: (dir), Up: (dir) [Index] GSL This file documents the GNU Scientific Library (GSL), a collection of numerical routines for scientific computing. It corresponds to release 1.16+ of the library. Please report any errors in this manual to [email protected]. More information about GSL can be found at the project homepage, http://www.gnu.org/software/gsl/. Printed copies of this manual can be purchased from Network Theory Ltd at http://www.network-theory.co.uk /gsl/manual/. The money raised from sales of the manual helps support the development of GSL. A Japanese translation of this manual is available from the GSL project homepage thanks to Daisuke Tominaga. Copyright © 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013 The GSL Team. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections and no cover texts. A copy of the license is included in the section entitled “GNU Free Documentation License”. • Introduction: • Using the library: • Error Handling: • Mathematical Functions: • Complex Numbers: • Polynomials: • Special Functions: • Vectors and Matrices: • Permutations: • Combinations: • Multisets: • Sorting: • BLAS Support: • Linear Algebra: • Eigensystems: -
"Graph" Program
Physics 305 Introduction to Computational Physics Fall 2010 The graph program Unfortunately, graphics programs are not as universal as we would like. These notes discuss one simple graphics program, unimaginatively called “graph”. While it is not a part of the standard Linux setup, it is universally available (and free) from the GNU software project. In fact, it is written and maintained by Robert Maier in the UA Math department. More importantly for you, it is already installed on faraday. Before you try out “graph”, make a couple of data files to practice on. These should be just two columns of number, where each line is an (x, y) pair. For example, file “data1” might look like: 0.0 0.123 0.5 0.2245 0.7 0.3145 1.1 0.224 Note that the x values don’t have to be evenly spaced. graph can make several kinds of output. The two that are important to us are X-windows output, which makes plots appear on the screen in front of you, and PostScript output, which you can email as part of your homework assignment. (You can, and should, also view the PostScript on your screen by using the “gv” (short for “ghostview”) command. Now try it out. Suppose “data1” is the name of one our your practice data files. Type graph -T X data1 WATCH OUT. Upper and lower case matters. Spacing and punctuation matter. “-T” and “X” must be upper case, and there must be a space between them. This should produce a graph of your data file on your screen. -
GNU Libredwg for Version 0.12.4, 30 December 2020
GNU LibreDWG for version 0.12.4, 30 December 2020 GNU LibreDWG Developers and Thien-Thi Nguyen This manual is for GNU LibreDWG (version 0.12.4, 30 December 2020). Copyright c 2010-2020 Free Software Foundation, Inc. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, with no Front-Cover Texts, and with no Back-Cover Texts. A copy of the license is included in the section entitled \GNU Free Documentation License". i Table of Contents 1 Overview ::::::::::::::::::::::::::::::::::::::::: 1 1.1 API/ABI version ::::::::::::::::::::::::::::::::::::::::::::::: 1 1.2 Coverage ::::::::::::::::::::::::::::::::::::::::::::::::::::::: 1 1.3 Related projects :::::::::::::::::::::::::::::::::::::::::::::::: 3 2 Usage ::::::::::::::::::::::::::::::::::::::::::::: 5 3 Types::::::::::::::::::::::::::::::::::::::::::::: 6 4 Objects ::::::::::::::::::::::::::::::::::::::::::: 8 4.1 HEADER :::::::::::::::::::::::::::::::::::::::::::::::::::::: 8 4.2 ENTITIES :::::::::::::::::::::::::::::::::::::::::::::::::::: 22 4.3 OBJECTS :::::::::::::::::::::::::::::::::::::::::::::::::::: 92 5 Sections:::::::::::::::::::::::::::::::::::::::: 259 5.1 HEADER Section :::::::::::::::::::::::::::::::::::::::::::: 259 5.2 OBJECTS Section ::::::::::::::::::::::::::::::::::::::::::: 259 5.3 CLASSES Section :::::::::::::::::::::::::::::::::::::::::::: 259 5.4 HANDLES Section ::::::::::::::::::::::::::::::::::::::::::: -
Quantian: a Scientific Computing Environment
New URL: http://www.R-project.org/conferences/DSC-2003/ Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC 2003) March 20–22, Vienna, Austria ISSN 1609-395X Kurt Hornik, Friedrich Leisch & Achim Zeileis (eds.) http://www.ci.tuwien.ac.at/Conferences/DSC-2003/ Quantian: A Scientific Computing Environment Dirk Eddelbuettel [email protected] Abstract This paper introduces Quantian, a scientific computing environment. Quan- tian is directly bootable from cdrom, self-configuring without user interven- tion, and comprises hundreds of applications, including a significant number of programs that are of immediate interest to quantitative researchers. Quantian is available at http://dirk.eddelbuettel.com/quantian.html. 1 Introduction Quantian is a directly bootable and self-configuring Linux system on a single cdrom. Quantian is an extension of Knoppix (Knopper, 2003) from which it takes its base system of about 2.0 gigabytes of software, along with automatic hardware detec- tion and configuration. Quantian adds software with a quantitative, numerical or scientific focus such as R, Octave, Ginac, GSL, Maxima, OpenDX, Pari, PSPP, QuantLib, XLisp-Stat and Yorick. This paper is organized as follows. In the next section, we introduce the Debian distribution upon which Knopppix and, thus, Quantian are built, discuss Debian packages and its packaging system and provide an overview of the support for R and its related programs. We also describe the Knoppix system and provide a basic outline of Quantian. In the ensuing section, we describe the Quantian build process. Possible extensions are discussed in the following section before a short summary concludes the paper. 2 Background Quantian builds on Knoppix, which is itself based on Debian. -
Capítulo 1 El Lenguaje De Programación Objectivec
www.gnustep.wordpress.com Introducción al entorno de desarrollo GNUstep 1 www.gnustep.wordpress.com Introducción al entorno de desarrollo GNUstep Licencia de este documento Copyright (C) 2008, 2009 German A. Arias. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled "GNU Free Documentation License". 2 www.gnustep.wordpress.com Introducción al entorno de desarrollo GNUstep Tabla de Contenidos INTRODUCCIÓN.....................................................................................................................................6 Capítulo 0...................................................................................................................................................7 Instalación de GNUstep y las especificaciones OpenStep.........................................................................7 0.1 Instalando GNUstep........................................................................................................................8 0.2 Especificaciones OpenStep...........................................................................................................12 0.3 Estableciendo las teclas modificadoras.........................................................................................13 Capítulo 1.................................................................................................................................................16 -
Latexsample-Thesis
INTEGRAL ESTIMATION IN QUANTUM PHYSICS by Jane Doe A dissertation submitted to the faculty of The University of Utah in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Mathematics The University of Utah May 2016 Copyright c Jane Doe 2016 All Rights Reserved The University of Utah Graduate School STATEMENT OF DISSERTATION APPROVAL The dissertation of Jane Doe has been approved by the following supervisory committee members: Cornelius L´anczos , Chair(s) 17 Feb 2016 Date Approved Hans Bethe , Member 17 Feb 2016 Date Approved Niels Bohr , Member 17 Feb 2016 Date Approved Max Born , Member 17 Feb 2016 Date Approved Paul A. M. Dirac , Member 17 Feb 2016 Date Approved by Petrus Marcus Aurelius Featherstone-Hough , Chair/Dean of the Department/College/School of Mathematics and by Alice B. Toklas , Dean of The Graduate School. ABSTRACT Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. -
Programming for Science Fairs a Student’S Guide to Resources, Usage and Display
Programming for Science Fairs A student’s guide to resources, usage and display Rajalakshmi Kollengode Contents 1.0 Resources 1.1 Learning Resources to Learn the Fundamental Concepts 1.2 Other Resources: Libraries and APIs 1.3 Resources for Math Projects 1.4 Resources for Physics Projects 1.5 Resources for Biology Projects 1.6 Resources for Chemistry Projects 1.7 Resources for Projects in Social Studies 2.0 Usage Considerations Some ideas on how to include programming in science fair projects 2.1 Usage for computational projects 2.2 Usage for non-computational projects 3.0 Coding Display Considerations Some recommendations for the big day 3.1 Display guidelines for computational projects 3.2 Display guidelines for non-computational projects Preface There is a wide variety of both free and paid resources available on the web. Many of them focus on gaming as a tool to learn elements of programming. Many other sites focus on coding for content creation (as in blogs), graphics design, collaborating and marketing. Not many of these are directly relevant to Science Fairs. While doing a science fair project, the student’s programming needs depend on the category and field of study the project belongs to. We can broadly divide the projects into two groups: (a) computational sciences (software engineering, robotics, informatics etc.) and (b) non-computational sciences (behavioral science, biochemistry, biology, chemistry, physics, engineering and mathematics excluding algorithms for numerical methods). For computational sciences, the main line is programming irrespective of field of study. In this case, the project would need a great amount of coding. -
GNU Octave a High-Level Interactive Language for Numerical Computations Edition 3 for Octave Version 2.0.13 February 1997
GNU Octave A high-level interactive language for numerical computations Edition 3 for Octave version 2.0.13 February 1997 John W. Eaton Published by Network Theory Limited. 15 Royal Park Clifton Bristol BS8 3AL United Kingdom Email: [email protected] ISBN 0-9541617-2-6 Cover design by David Nicholls. Errata for this book will be available from http://www.network-theory.co.uk/octave/manual/ Copyright c 1996, 1997John W. Eaton. This is the third edition of the Octave documentation, and is consistent with version 2.0.13 of Octave. Permission is granted to make and distribute verbatim copies of this man- ual provided the copyright notice and this permission notice are preserved on all copies. Permission is granted to copy and distribute modified versions of this manual under the conditions for verbatim copying, provided that the en- tire resulting derived work is distributed under the terms of a permission notice identical to this one. Permission is granted to copy and distribute translations of this manual into another language, under the same conditions as for modified versions. Portions of this document have been adapted from the gawk, readline, gcc, and C library manuals, published by the Free Software Foundation, 59 Temple Place—Suite 330, Boston, MA 02111–1307, USA. i Table of Contents Publisher’s Preface ...................... 1 Author’s Preface ........................ 3 Acknowledgements ........................................ 3 How You Can Contribute to Octave ........................ 5 Distribution .............................................. 6 1 A Brief Introduction to Octave ....... 7 1.1 Running Octave...................................... 7 1.2 Simple Examples ..................................... 7 Creating a Matrix ................................. 7 Matrix Arithmetic ................................. 8 Solving Linear Equations.......................... -
Module 4: Household Surveys for Monitoring SDG 4
Module 4: Household Surveys for Monitoring SDG 4 Module overview – objectives, topics and learning outcomes Although many education indicators are available from Education Management Information System (EMIS) data and annual school censuses, these systems are not capable of capturing all relevant data, particularly regarding populations that have never entered the formal school system, or those that have dropped out indefinitely, such as adults, children with disabilities, ethnic minorities, migrants, out-of-school children and other marginalized populations. It is essential to take note of this circumstance because Sustainable Development Goal (SDG) 4 emphasizes paying particular attention to marginalized populations. With this in mind, household surveys have the unique reach to include these populations. Adopting household surveys enables interested parties to capture a wider spectrum – and therefore greater coverage of data for the world education agenda. The objective of this module is to familiarize the reader with household surveys for education policies and programmes and monitoring. Understanding the usefulness of household survey data will aid in establishing better collaborations between survey designers and education specialists. The ultimate aim is to confer and decide on the 151 types of data which are of highest relevance in monitoring education. After providing brief background information on the importance of household surveys, this module will present which current education indicators can be retrieved from surveys; what types of household surveys collect education data; as well as challenges in collecting education-related data through household surveys. Finally, this module will provide an outline for the creation of institutional mechanisms – for collaboration with interested parties – so household surveys can be utilized effectively to yield the most significant SDG 4 indicator data. -
Best Practice Guide - Generic X86 Vegard Eide, NTNU Nikos Anastopoulos, GRNET Henrik Nagel, NTNU 02-05-2013
Best Practice Guide - Generic x86 Vegard Eide, NTNU Nikos Anastopoulos, GRNET Henrik Nagel, NTNU 02-05-2013 1 Best Practice Guide - Generic x86 Table of Contents 1. Introduction .............................................................................................................................. 3 2. x86 - Basic Properties ................................................................................................................ 3 2.1. Basic Properties .............................................................................................................. 3 2.2. Simultaneous Multithreading ............................................................................................. 4 3. Programming Environment ......................................................................................................... 5 3.1. Modules ........................................................................................................................ 5 3.2. Compiling ..................................................................................................................... 6 3.2.1. Compilers ........................................................................................................... 6 3.2.2. General Compiler Flags ......................................................................................... 6 3.2.2.1. GCC ........................................................................................................ 6 3.2.2.2. Intel ........................................................................................................ -
Pipenightdreams Osgcal-Doc Mumudvb Mpg123-Alsa Tbb
pipenightdreams osgcal-doc mumudvb mpg123-alsa tbb-examples libgammu4-dbg gcc-4.1-doc snort-rules-default davical cutmp3 libevolution5.0-cil aspell-am python-gobject-doc openoffice.org-l10n-mn libc6-xen xserver-xorg trophy-data t38modem pioneers-console libnb-platform10-java libgtkglext1-ruby libboost-wave1.39-dev drgenius bfbtester libchromexvmcpro1 isdnutils-xtools ubuntuone-client openoffice.org2-math openoffice.org-l10n-lt lsb-cxx-ia32 kdeartwork-emoticons-kde4 wmpuzzle trafshow python-plplot lx-gdb link-monitor-applet libscm-dev liblog-agent-logger-perl libccrtp-doc libclass-throwable-perl kde-i18n-csb jack-jconv hamradio-menus coinor-libvol-doc msx-emulator bitbake nabi language-pack-gnome-zh libpaperg popularity-contest xracer-tools xfont-nexus opendrim-lmp-baseserver libvorbisfile-ruby liblinebreak-doc libgfcui-2.0-0c2a-dbg libblacs-mpi-dev dict-freedict-spa-eng blender-ogrexml aspell-da x11-apps openoffice.org-l10n-lv openoffice.org-l10n-nl pnmtopng libodbcinstq1 libhsqldb-java-doc libmono-addins-gui0.2-cil sg3-utils linux-backports-modules-alsa-2.6.31-19-generic yorick-yeti-gsl python-pymssql plasma-widget-cpuload mcpp gpsim-lcd cl-csv libhtml-clean-perl asterisk-dbg apt-dater-dbg libgnome-mag1-dev language-pack-gnome-yo python-crypto svn-autoreleasedeb sugar-terminal-activity mii-diag maria-doc libplexus-component-api-java-doc libhugs-hgl-bundled libchipcard-libgwenhywfar47-plugins libghc6-random-dev freefem3d ezmlm cakephp-scripts aspell-ar ara-byte not+sparc openoffice.org-l10n-nn linux-backports-modules-karmic-generic-pae