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The Algebra of Open and Interconnected Systems
The Algebra of Open and Interconnected Systems Brendan Fong Hertford College University of Oxford arXiv:1609.05382v1 [math.CT] 17 Sep 2016 A thesis submitted for the degree of Doctor of Philosophy in Computer Science Trinity 2016 For all those who have prepared food so I could eat and created homes so I could live over the past four years. You too have laboured to produce this; I hope I have done your labours justice. Abstract Herein we develop category-theoretic tools for understanding network- style diagrammatic languages. The archetypal network-style diagram- matic language is that of electric circuits; other examples include signal flow graphs, Markov processes, automata, Petri nets, chemical reaction networks, and so on. The key feature is that the language is comprised of a number of components with multiple (input/output) terminals, each possibly labelled with some type, that may then be connected together along these terminals to form a larger network. The components form hyperedges between labelled vertices, and so a diagram in this language forms a hypergraph. We formalise the compositional structure by intro- ducing the notion of a hypergraph category. Network-style diagrammatic languages and their semantics thus form hypergraph categories, and se- mantic interpretation gives a hypergraph functor. The first part of this thesis develops the theory of hypergraph categories. In particular, we introduce the tools of decorated cospans and corela- tions. Decorated cospans allow straightforward construction of hyper- graph categories from diagrammatic languages: the inputs, outputs, and their composition are modelled by the cospans, while the `decorations' specify the components themselves. -
IT Project Quality Management
10 IT Project Quality Management CHAPTER OVERVIEW The focus of this chapter will be on several concepts and philosophies of quality man- agement. By learning about the people who founded the quality movement over the last fifty years, we can better understand how to apply these philosophies and teach- ings to develop a project quality management plan. After studying this chapter, you should understand and be able to: • Describe the Project Management Body of Knowledge (PMBOK) area called project quality management (PQM) and how it supports quality planning, qual ity assurance, quality control, and continuous improvement of the project's products and supporting processes. • Identify several quality gurus, or founders of the quality movement, and their role in shaping quality philosophies worldwide. • Describe some of the more common quality initiatives and management sys tems that include ISO certification, Six Sigma, and the Capability Maturity Model (CMM) for software engineering. • Distinguish between validation and verification activities and how these activi ties support IT project quality management. • Describe the software engineering discipline called configuration management and how it is used to manage the changes associated with all of the project's deliverables and work products. • Apply the quality concepts, methods, and tools introduced in this chapter to develop a project quality plan. GLOBAL TECHNOLOGY SOLUTIONS It was mid-afternoon when Tim Williams walked into the GTS conference room. Two of the Husky Air team members, Sitaraman and Yan, were already seated at the 217 218 CHAPTER 10 / IT PROJECT QUALITY MANAGEMENT conference table. Tim took his usual seat, and asked "So how did the demonstration of the user interface go this morning?" Sitaraman glanced at Yan and then focused his attention on Tim's question. -
Computer Algebra and Mathematics with the HP40G Version 1.0
Computer Algebra and Mathematics with the HP40G Version 1.0 Renée de Graeve Lecturer at Grenoble I Exact Calculation and Mathematics with the HP40G Acknowledgments It was not believed possible to write an efficient program for computer algebra all on one’s own. But one bright person by the name of Bernard Parisse didn’t know that—and did it! This is his program for computer algebra (called ERABLE), built for the second time into an HP calculator. The development of this calculator has led Bernard Parisse to modify his program somewhat so that the computer algebra functions could be edited and cause the appropriate results to be displayed in the Equation Editor. Explore all the capabilities of this calculator, as set out in the following pages. I would like to thank: • Bernard Parisse for his invaluable counsel, his remarks on the text, his reviews, and for his ability to provide functions on demand both efficiently and graciously. • Jean Tavenas for the concern shown towards the completion of this guide. • Jean Yves Avenard for taking on board our requests, and for writing the PROMPT command in the very spirit of promptness—and with no advance warning. (refer to 6.4.2.). © 2000 Hewlett-Packard, http://www.hp.com/calculators The reproduction, distribution and/or the modification of this document is authorised according to the terms of the GNU Free Documentation License, Version 1.1 or later, published by the Free Software Foundation. A copy of this license exists under the section entitled “GNU Free Documentation License” (Chapter 8, p. 141). -
CAS, an Introduction to the HP Computer Algebra System
CAS, An introduction to the HP Computer Algebra System Background Any mathematician will quickly appreciate the advantages offered by a CAS, or Computer Algebra System1, which allows the user to perform complex symbolic algebraic manipulations on the calculator. Algebraic integration by parts and by substitution, the solution of differential equations, inequalities, simultaneous equations with algebraic or complex coefficients, the evaluation of limits and many other problems can be solved quickly and easily using a CAS. Importantly, solutions can be obtained as exact values such as 5−1, 25≤ x < or 4π rather than the usual decimal values given by numeric methods of successive approximation. Values can be displayed to almost any degree of accuracy required, allowing the user to view, for example, the exact value of a number such as 100 factorial. The HP CAS The HP CAS system was created by Bernard Parisse, Université de Grenoble, for the HP 49g calculator. It was improved and adapted for inclusion on the HP 40g with the help of Renée De Graeve, Jean-Yves Avenard and Jean Tavenas2. The HP CAS system offers the user a vast array of functions and abilities as well as an easy user interface which displays equations as they appear on the page. It also includes the ability to display many algebraic calculations in ‘step-by-step’ mode, making it an invaluable teaching tool in universities and schools. Functions are grouped by category and accessed via menus at the bottom of the screen. Copyright© 2005, Applications in Mathematics Learning to use the CAS Learning to use the CAS is very easy but, as with any powerful tool, truly effective use requires familiarity and time. -
Life and Work of Friedrich Hirzebruch
Jahresber Dtsch Math-Ver (2015) 117:93–132 DOI 10.1365/s13291-015-0114-1 HISTORICAL ARTICLE Life and Work of Friedrich Hirzebruch Don Zagier1 Published online: 27 May 2015 © Deutsche Mathematiker-Vereinigung and Springer-Verlag Berlin Heidelberg 2015 Abstract Friedrich Hirzebruch, who died in 2012 at the age of 84, was one of the most important German mathematicians of the twentieth century. In this article we try to give a fairly detailed picture of his life and of his many mathematical achievements, as well as of his role in reshaping German mathematics after the Second World War. Mathematics Subject Classification (2010) 01A70 · 01A60 · 11-03 · 14-03 · 19-03 · 33-03 · 55-03 · 57-03 Friedrich Hirzebruch, who passed away on May 27, 2012, at the age of 84, was the outstanding German mathematician of the second half of the twentieth century, not only because of his beautiful and influential discoveries within mathematics itself, but also, and perhaps even more importantly, for his role in reshaping German math- ematics and restoring the country’s image after the devastations of the Nazi years. The field of his scientific work can best be summed up as “Topological methods in algebraic geometry,” this being both the title of his now classic book and the aptest de- scription of an activity that ranged from the signature and Hirzebruch-Riemann-Roch theorems to the creation of the modern theory of Hilbert modular varieties. Highlights of his activity as a leader and shaper of mathematics inside and outside Germany in- clude his creation of the Arbeitstagung, -
Access to Communications Technology
A Access to Communications Technology ABSTRACT digital divide: the Pew Research Center reported in 2019 that 42 percent of African American adults and Early proponents of digital communications tech- 43 percent of Hispanic adults did not have a desk- nology believed that it would be a powerful tool for top or laptop computer at home, compared to only disseminating knowledge and advancing civilization. 18 percent of Caucasian adults. Individuals without While there is little dispute that the Internet has home computers must instead use smartphones or changed society radically in a relatively short period public facilities such as libraries (which restrict how of time, there are many still unable to take advantage long a patron can remain online), which severely lim- of the benefits it confers because of a lack of access. its their ability to fill out job applications and com- Whether the lack is due to economic, geographic, or plete homework effectively. demographic factors, this “digital divide” has serious There is also a marked divide between digital societal repercussions, particularly as most aspects access in highly developed nations and that which of life in the twenty-first century, including banking, is available in other parts of the world. Globally, the health care, and education, are increasingly con- International Telecommunication Union (ITU), a ducted online. specialized agency within the United Nations that deals with information and communication tech- DIGITAL DIVIDE nologies (ICTs), estimates that as many as 3 billion people living in developing countries may still be In its simplest terms, the digital divide refers to the gap unconnected by 2023. -
SMT Solving in a Nutshell
SAT and SMT Solving in a Nutshell Erika Abrah´ am´ RWTH Aachen University, Germany LuFG Theory of Hybrid Systems February 27, 2020 Erika Abrah´ am´ - SAT and SMT solving 1 / 16 What is this talk about? Satisfiability problem The satisfiability problem is the problem of deciding whether a logical formula is satisfiable. We focus on the automated solution of the satisfiability problem for first-order logic over arithmetic theories, especially using SAT and SMT solving. Erika Abrah´ am´ - SAT and SMT solving 2 / 16 CAS SAT SMT (propositional logic) (SAT modulo theories) Enumeration Computer algebra DP (resolution) systems [Davis, Putnam’60] DPLL (propagation) [Davis,Putnam,Logemann,Loveland’62] Decision procedures NP-completeness [Cook’71] for combined theories CAD Conflict-directed [Shostak’79] [Nelson, Oppen’79] backjumping Partial CAD Virtual CDCL [GRASP’97] [zChaff’04] DPLL(T) substitution Watched literals Equalities and uninterpreted Clause learning/forgetting functions Variable ordering heuristics Bit-vectors Restarts Array theory Arithmetic Decision procedures for first-order logic over arithmetic theories in mathematical logic 1940 Computer architecture development 1960 1970 1980 2000 2010 Erika Abrah´ am´ - SAT and SMT solving 3 / 16 SAT SMT (propositional logic) (SAT modulo theories) Enumeration DP (resolution) [Davis, Putnam’60] DPLL (propagation) [Davis,Putnam,Logemann,Loveland’62] Decision procedures NP-completeness [Cook’71] for combined theories Conflict-directed [Shostak’79] [Nelson, Oppen’79] backjumping CDCL [GRASP’97] [zChaff’04] -
Programming for Computations – Python
15 Svein Linge · Hans Petter Langtangen Programming for Computations – Python Editorial Board T. J.Barth M.Griebel D.E.Keyes R.M.Nieminen D.Roose T.Schlick Texts in Computational 15 Science and Engineering Editors Timothy J. Barth Michael Griebel David E. Keyes Risto M. Nieminen Dirk Roose Tamar Schlick More information about this series at http://www.springer.com/series/5151 Svein Linge Hans Petter Langtangen Programming for Computations – Python A Gentle Introduction to Numerical Simulations with Python Svein Linge Hans Petter Langtangen Department of Process, Energy and Simula Research Laboratory Environmental Technology Lysaker, Norway University College of Southeast Norway Porsgrunn, Norway On leave from: Department of Informatics University of Oslo Oslo, Norway ISSN 1611-0994 Texts in Computational Science and Engineering ISBN 978-3-319-32427-2 ISBN 978-3-319-32428-9 (eBook) DOI 10.1007/978-3-319-32428-9 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: 2016945368 Mathematic Subject Classification (2010): 26-01, 34A05, 34A30, 34A34, 39-01, 40-01, 65D15, 65D25, 65D30, 68-01, 68N01, 68N19, 68N30, 70-01, 92D25, 97-04, 97U50 © The Editor(s) (if applicable) and the Author(s) 2016 This book is published open access. Open Access This book is distributed under the terms of the Creative Commons Attribution-Non- Commercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, a link is provided to the Creative Commons license and any changes made are indicated. -
Modeling and Analysis of Hybrid Systems
Building Bridges between Symbolic Computation and Satisfiability Checking Erika Abrah´ am´ RWTH Aachen University, Germany in cooperation with Florian Corzilius, Gereon Kremer, Stefan Schupp and others ISSAC’15, 7 July 2015 Photo: Prior Park, Bath / flickr Liam Gladdy What is this talk about? Satisfiability problem The satisfiability problem is the problem of deciding whether a logical formula is satisfiable. We focus on the automated solution of the satisfiability problem for first-order logic over arithmetic theories, especially on similarities and differences in symbolic computation and SAT and SMT solving. Erika Abrah´ am´ - SMT solving and Symbolic Computation 2 / 39 CAS SAT SMT (propositional logic) (SAT modulo theories) Enumeration Computer algebra DP (resolution) systems [Davis, Putnam’60] DPLL (propagation) [Davis,Putnam,Logemann,Loveland’62] Decision procedures NP-completeness [Cook’71] for combined theories CAD Conflict-directed [Shostak’79] [Nelson, Oppen’79] backjumping Partial CAD Virtual CDCL [GRASP’97] [zChaff’04] DPLL(T) substitution Watched literals Equalities and uninterpreted Clause learning/forgetting functions Variable ordering heuristics Bit-vectors Restarts Array theory Arithmetic Decision procedures for first-order logic over arithmetic theories in mathematical logic 1940 Computer architecture development 1960 1970 1980 2000 2010 Erika Abrah´ am´ - SMT solving and Symbolic Computation 3 / 39 SAT SMT (propositional logic) (SAT modulo theories) Enumeration DP (resolution) [Davis, Putnam’60] DPLL (propagation) [Davis,Putnam,Logemann,Loveland’62] -
Friedrich Hirzebruch a Handful of Reminiscences∗
Friedrich Hirzebruch a handful of reminiscences∗ Piotr Pragacz∗∗ The idea of dedicating an IMPANGA volume to Friedrich Hirzebruch arose a few years ago. A lot has changed since then. First of all, Friedrich Hirzebruch passed away on May 27, 2012. Following his death many conferences, lectures and articles [2, 4, 3, 22] were dedicated to him. The articles [1, 5, 7, 9] and the video- interview [13] appeared while he was still alive. A book by Winfried Scharlau is in preparation. These publications accurately describe the life and work of Professor Friedrich Hirzebruch from the point of view of his close colleagues and coworkers. Therefore, though initially I intended to write an article about him similar to Notes on the life and work of Alexander Grothendieck [16] (1st volume of IMPANGA Lecture Notes) or the one on Józef Maria Hoene-Wro«ski [17] (2nd volume of IMPANGA Lecture Notes), I decided to change my plans, so this essay will be of a dierent nature. I would like to share a collection of reminiscences about Professor Friedrich Hirzebruch from the vantage of a person, for whom he was a mentor in the years 19932006. In addition, I would like to highlight his relations with IMPANGA. F. Hirzebruch during the Leonhard Euler Congress in Saint Petersburg in 2007 I met Friedrich Hirzebruch for the rst time in 1988 during the algebraic semester at the Banach Center, at the old residence on Mokotowska street. He came for the conference in algebraic geometry organized as a part of that semester. The ∗This article was translated by Masha Vlasenko with the editorial assistance of the author. -
Easy-To-Use Chinese MTEX Suite Hongbin Ma
The PracTEX Journal, 2012, No. 1 Article revision 2012/06/25 Easy-to-use Chinese MTEX Suite Hongbin Ma Email cnedu.bit.mathmhb@ Address School of Automation, Beijing Institute of Technology, Beijing 100081, P. R. China 1 Motivation of Developing MTEX As the main developer of Chinese MTEX Suite , or simply MTEX [1], I started to fall in love with TEX[2] and LATEX[3] in 2002 when I was still a graduate student major- ing in mathematics and cybernetics at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences. At that time, recommended by some se- nior students, I started to use Chinese CTEX Suite , or simply CTEX[4], which was maintained by Dr. Lingyun Wu[5], a researcher in our academy, and is roughly a collection of pre-configured MiKTEX system[6] packaged with other tools such as customized WinEdt[7] for Chinese TEXers. CTEX brings significant benefits to China TEX users and it helps much to popularize the use of LATEX in China, es- pecially in the educational and academic areas with large requirement on mathe- matics typesetting. Furthermore, at that time, CTEX provides one way to typeset Chinese documents easily with LATEX and CCT [8](Chinese-Typesetting-System ), which was initially developed by another researcher Prof. Linbo Zhang[9] in our academy since 1998 for the purpose of typesetting Chinese with LATEX. Besides CCT system, another system called TY (Tian-Yuan ) system [10] was invented by a group in Eastern China Normal University so as to overcome the difficulties of typesetting Chinese with LATEX using different idea. -
Robust Computer Algebra, Theorem Proving, and Oracle AI
Robust Computer Algebra, Theorem Proving, and Oracle AI Gopal P. Sarma∗ Nick J. Hayyz School of Medicine, Emory University, Atlanta, GA USA Vicarious FPC, San Francisco, CA USA Abstract In the context of superintelligent AI systems, the term “oracle” has two meanings. One refers to modular systems queried for domain-specific tasks. Another usage, referring to a class of systems which may be useful for addressing the value alignment and AI control problems, is a superintelligent AI system that only answers questions. The aim of this manuscript is to survey contemporary research problems related to oracles which align with long-term research goals of AI safety. We examine existing question answering systems and argue that their high degree of architectural heterogeneity makes them poor candidates for rigorous analysis as oracles. On the other hand, we identify computer algebra systems (CASs) as being primitive examples of domain-specific oracles for mathematics and argue that efforts to integrate computer algebra systems with theorem provers, systems which have largely been developed independent of one another, provide a concrete set of problems related to the notion of provable safety that has emerged in the AI safety community. We review approaches to interfacing CASs with theorem provers, describe well-defined architectural deficiencies that have been identified with CASs, and suggest possible lines of research and practical software projects for scientists interested in AI safety. I. Introduction other hand, issues of privacy and surveillance, access and inequality, or economics and policy are Recently, significant public attention has been also of utmost importance and are distinct from drawn to the consequences of achieving human- the specific technical challenges posed by most level artificial intelligence.