GIANT: GRAPHICAL ALGEBRAIC NUMBER THEORY 1. Introduction Software for Number Theoretical Computations Has Evolved from Stand-Alo
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M-Explorer User's Guide
Table of Contents M-Explorer User’s Guide Table of Contents M-Explorer User’s Guide..............................................1 Chapter 1 Using This Guide.................................................................1-1 Introduction...................................................................................................... 1-1 Key Concepts................................................................................................... 1-2 Chapter Organization .....................................................................................................1-2 Online Help ....................................................................................................................1-2 Manual Conventions ......................................................................................................1-2 Chapter 2 Introduction to M-Explorer .................................................2-1 Introduction...................................................................................................... 2-1 Key Concepts................................................................................................... 2-2 System Component Interaction......................................................................................2-2 OPC Data Access Servers.............................................................................................2-2 M-Inspector ....................................................................................................................2-2 M-Password ...................................................................................................................2-3 -
Analysis and Verification of Arithmetic Circuits Using Computer Algebra Approach
University of Massachusetts Amherst ScholarWorks@UMass Amherst Doctoral Dissertations Dissertations and Theses March 2020 ANALYSIS AND VERIFICATION OF ARITHMETIC CIRCUITS USING COMPUTER ALGEBRA APPROACH TIANKAI SU University of Massachusetts Amherst Follow this and additional works at: https://scholarworks.umass.edu/dissertations_2 Part of the VLSI and Circuits, Embedded and Hardware Systems Commons Recommended Citation SU, TIANKAI, "ANALYSIS AND VERIFICATION OF ARITHMETIC CIRCUITS USING COMPUTER ALGEBRA APPROACH" (2020). Doctoral Dissertations. 1868. https://doi.org/10.7275/15875490 https://scholarworks.umass.edu/dissertations_2/1868 This Open Access Dissertation is brought to you for free and open access by the Dissertations and Theses at ScholarWorks@UMass Amherst. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of ScholarWorks@UMass Amherst. For more information, please contact [email protected]. ANALYSIS AND VERIFICATION OF ARITHMETIC CIRCUITS USING COMPUTER ALGEBRA APPROACH A Dissertation Presented by TIANKAI SU Submitted to the Graduate School of the University of Massachusetts Amherst in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY February 2020 Electrical and Computer Engineering c Copyright by Tiankai Su 2020 All Rights Reserved ANALYSIS AND VERIFICATION OF ARITHMETIC CIRCUITS USING COMPUTER ALGEBRA APPROACH A Dissertation Presented by TIANKAI SU Approved as to style and content by: Maciej Ciesielski, Chair George S. Avrunin, Member Daniel Holcomb, Member Weibo Gong, Member Christopher V. Hollot, Department Head Electrical and Computer Engineering ABSTRACT ANALYSIS AND VERIFICATION OF ARITHMETIC CIRCUITS USING COMPUTER ALGEBRA APPROACH FEBRUARY 2020 TIANKAI SU B.Sc., NORTHEAST DIANLI UNIVERSITY Ph.D., UNIVERSITY OF MASSACHUSETTS AMHERST Directed by: Professor Maciej Ciesielski Despite a considerable progress in verification of random and control logic, ad- vances in formal verification of arithmetic designs have been lagging. -
Iwork '08 Getting Started (Manual)
Overview of iWork Tools All three iWork applications share many of the same tools. The Toolbar and Format Bar At the top of each application window, the toolbar provides controls for common tasks. Each toolbar is described in detail in the appropriate chapter in this book. You can customize the toolbar so that it contains the tools you use most often. To customize the toolbar: m Choose View > Customize Toolbar. The toolbar at the top of each window provides controls for common tasks. The Format Bar provides additional formatting tools. The Format Bar provides quick access to commonly used tools for formatting objects. If the Format Bar isn’t visible beneath the toolbar, click View in the toolbar and choose Show Format Bar to show it. 16 Preface Welcome to iWork ’08 The Inspector Window You can format all elements of your document using the panes of the Inspector window. The Inspector panes are described in detail in the user’s guides. To open the Inspector window: m Click Inspector (a blue i) in the toolbar. Click the buttons along the top to see the different Inspector panes. You can have more than one Inspector window open at a time. To open another Inspector window: m Choose View > New Inspector, or Option-click one of the buttons at the top of the Inspector window. Preface Welcome to iWork ’08 17 To see what a control does, rest the pointer over it until its help tag appears. The Media Browser This window provides quick access to all the files in your iTunes library, your iPhoto library, your Aperture library, and your Movies folder. -
The Misfortunes of a Trio of Mathematicians Using Computer Algebra Systems
The Misfortunes of a Trio of Mathematicians Using Computer Algebra Systems. Can We Trust in Them? Antonio J. Durán, Mario Pérez, and Juan L. Varona Introduction by a typical research mathematician, but let us Nowadays, mathematicians often use a computer explain it briefly. It is not necessary to completely algebra system as an aid in their mathematical understand the mathematics, just to realize that it research; they do the thinking and leave the tedious is typical mathematical research using computer calculations to the computer. Everybody “knows” algebra as a tool. that computers perform this work better than Our starting point is a discrete positive measure people. But, of course, we must trust in the results on the real line, µ n 0 Mnδan (where δa denotes = ≥ derived via these powerful computer algebra the Dirac delta at a, and an < an 1) having P + systems. First of all, let us clarify that this paper is a sequence of orthogonal polynomials Pn n 0 f g ≥ not, in any way, a comparison between different (where Pn has degree n and positive leading computer algebra systems, but a sample of the coefficient). Karlin and Szeg˝oconsidered in 1961 (see [4]) the l l Casorati determinants current state of the art of what mathematicians × can expect when they use this kind of software. Pn(ak)Pn(ak 1):::Pn(ak l 1) Although our example deals with a concrete system, + + − Pn 1(ak)Pn 1(ak 1):::Pn 1(ak l 1) 0 + + + + + − 1 we are sure that similar situations may occur with (1) det . -
Addition and Subtraction
A Addition and Subtraction SUMMARY (475– 221 BCE), when arithmetic operations were per- formed by manipulating rods on a flat surface that was Addition and subtraction can be thought of as a pro- partitioned by vertical and horizontal lines. The num- cess of accumulation. For example, if a flock of 3 sheep bers were represented by a positional base- 10 system. is joined with a flock of 4 sheep, the combined flock Some scholars believe that this system— after moving will have 7 sheep. Thus, 7 is the sum that results from westward through India and the Islamic Empire— the addition of the numbers 3 and 4. This can be writ- became the modern system of representing numbers. ten as 3 + 4 = 7 where the sign “+” is read “plus” and The Greeks in the fifth century BCE, in addition the sign “=” is read “equals.” Both 3 and 4 are called to using a complex ciphered system for representing addends. Addition is commutative; that is, the order numbers, used a system that is very similar to Roman of the addends is irrelevant to how the sum is formed. numerals. It is possible that the Greeks performed Subtraction finds the remainder after a quantity is arithmetic operations by manipulating small stones diminished by a certain amount. If from a flock con- on a large, flat surface partitioned by lines. A simi- taining 5 sheep, 3 sheep are removed, then 2 sheep lar stone tablet was found on the island of Salamis remain. In this example, 5 is the minuend, 3 is the in the 1800s and is believed to date from the fourth subtrahend, and 2 is the remainder or difference. -
2D Scrolling Background in Unity When Creating a Scrolling
2D Scrolling Background in Unity When creating a scrolling background image you will use something called a Quad and convert the Sprite into a Material. This works only if the background is designed to be scrollable. The general steps are: A. Create a new Project or use an existing project. B. Import the background sprite into the project C. Convert the Sprite into a Material D. Add a Quad 3D object and resize this object to match the background and set the Material Filtering E. Resize the Camera F. Add a Scrolling Script to the Quad 1. Download the scrolling backgrounds folder that contains some background images (see link for lecture). This will contain three images, a city background image (1230x600), a space background (1782x600) and a trees background (1100x405) 2. Start Unity and choose New to create a new Project. 3. Name the project Scrolling Background and select the 2D option. 4. Create the Project. 5. In the Assets folder create two new folders named Sprites and Scripts. 6. Drag these three background images into the sprites folder. 7. Click the scrolling city background image in the Sprites folder. The Inspector window shows the properties: You are going to change the Texture Type and the Wrap mode. 8. Set the Texture Type to Default and the Wrap Mode to Repeat. 9. Scroll down in the Inspector window and click the Apply button. 10. Repeat these steps for the other two sprites. 11. Click the Game Object menu, choose 3D, and choose Quad: You want to resize the quad object so it matches the background. -
Undergraduate Catalog 14-16
UNDERGRADUATE CATALOG: 2014-2016 Connecticut State Colleges and Universities ACADEMIC DEPARTMENTS, PROGRAMS, AND Accreditation and Policy COURSES Message from the President Ancell School of Business Academic Calendar School of Arts & Sciences Introduction to Western School of Professional Studies The Campus School of Visual and Performing Arts Admission to Western Division of Graduate Studies Student Expenses Office of Student Aid & Student Employment Directory Student Affairs Administration Academic Services and Procedures Faculty/Staff Academic Programs and Degrees Faculty Emeriti Graduation Academic Program Descriptions WCSU Undergraduate Catalog: 2014-2016 1 CONNECTICUT STATE COLLEGES & UNIVERSITIES The 17 Connecticut State Colleges & Universities (ConnSCU) provide affordable, innovative and rigorous programs that permit students to achieve their personal and career goals, as well as contribute to the economic growth of Connecticut. The ConnSCU System encompasses four state universities – Western Connecticut State University in Danbury, Central Connecticut State University in New Britain, Eastern Connecticut State University in Willimantic and Southern Connecticut State University in New Haven – as well as 12 community colleges and the online institution Charter Oak State College. Until the state’s higher education reorganization of 2011, Western was a member of the former Connecticut State Unviersity System that also encompassed Central, Eastern and Southern Connecticut state universities. With origins in normal schools for teacher education founded in the 19th and early 20th centuries, these institutions evolved into diversified state universities whose graduates have pursued careers in the professions, business, education, public service, the arts and other fields. Graduates of Western and other state universities contribute to all aspects of Connecticut economic, social and cultural life. -
Shape Data Analysis Using Qushape
SHAPE DATA ANALYSIS USING QUSHAPE 1. INTRODUCTION QuShape is a comprehensive user-friendly software package designed to perform fully automated analysis of SHAPE experimental data. QuShape requires no other software to fully analyze raw experimental capillary electrophoresis data. QuShape can be run in an automatic mode with default analytical procedures but contains an array of alternative algorithmic procedures and parameter controls that the user can apply if not satisfied with the default results. 2. GRAPHIC USER INTERFACE The user controls QuShape via a graphic interface. This interface includes the main Data View window, the Tool Inspector window, and the Script Inspector window. Results of every operation are plotted in the Data View window, allowing the user to monitor the quality of each data processing step. The user can vary the graphic display format via a set of control buttons. At each data processing step, the Tool Inspector window offers the user additional analytical tools that can be employed if the user is not satisfied with the results of the automatic procedure. 1 2.1. MAIN MENU AND TOOLS BAR Four groups of icons are found at the top of the QuShape screen: File-handling, Channels, Figure Options, and Split Channels. File-handling icons: These icons allow users to create or save projects. New Project – Click this icon to create a new project. Open Project – Click this icon to open an existing project. Save Project – Click this icon to save the project. Save Project As – Click this icon to save the project under a different name. Channels icons: Six differently colored label widgets relate colors of the lines in the Data View window to specific data channels (these labels refer to the two-capillary approach used to resolve the chemical probing experiment data). -
Derivation of Numerical Methods Using Computer Algebra∗
SIAM REVIEW c 1999 Society for Industrial and Applied Mathematics Vol. 41, No. 3, pp. 577–593 Derivation of Numerical Methods Using Computer Algebra∗ Walter Gandery Dominik Gruntzz Abstract. The use of computer algebra systems in a course on scientific computation is demonstrated. Various examples, such as the derivation of Newton's iteration formula, the secant method, Newton{Cotes and Gaussian integration formulas, as well as Runge{Kutta formulas, are presented. For the derivations, the computer algebra system Maple is used. Key words. numerical methods, computer algebra, Maple, quadrature formulas, nonlinear equations, finite elements, Rayleigh{Ritz, Galerkin method, Runge{Kutta method AMS subject classifications. 65-01, 68Q40, 65D32, 65H05, 65L60, 65L06 PII. S003614459935093X 1. Introduction. At ETH Z¨urich we have redesigned our courses on numerical analysis. We not only teach numerical algorithms but also introduce the students to computer algebra and make heavy use of computer algebra systems in both lectures and assignments. Computer algebra is used to generate numerical algorithms, to compute discretization errors, to derive convergence rates, to simplify proofs, to run examples, and to generate plots. We claim that it is easier for students to follow a derivation carried out with the help of a computer algebra system than one done by hand. Computer algebra systems take over the hard manual work, such as solving systems of equations. Students need not be concerned with all the details (and all the small glitches) of a manual derivation and can understand and keep an overview of the general steps of the derivation. A computer-supported derivation is also more convincing than a presentation of the bare results without any reasoning. -
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] -
A Survey of User Interfaces for Computer Algebra Systems
J. Symbolic Computation (1998) 25, 127–159 A Survey of User Interfaces for Computer Algebra Systems NORBERT KAJLER† AND NEIL SOIFFER‡§ †Ecole des Mines de Paris, 60 Bd. St-Michel, 75006 Paris, France ‡Wolfram Research, Inc., 100 Trade Center Drive, Champaign, IL 61820, U.S.A. This paper surveys work within the Computer Algebra community (and elsewhere) di- rected towards improving user interfaces for scientific computation during the period 1963–1994. It is intended to be useful to two groups of people: those who wish to know what work has been done and those who would like to do work in the field. It contains an extensive bibliography to assist readers in exploring the field in more depth. Work related to improving human interaction with computer algebra systems is the main focus of the paper. However, the paper includes additional materials on some closely related issues such as structured document editing, graphics, and communication protocols. c 1998 Academic Press Limited 1. Introduction There are several problems with current computer algebra systems (CASs) that are interface-related. These problems include: the use of an unnatural linear notation to enter and edit expressions, the inherent difficulty of selecting and modifying subexpressions with commands, and the display of large expressions that run off the screen. These problems may intimidate novice users and frustrate experienced users. The more natural and intuitive the interface (the closer it corresponds to pencil and paper manipulations), the more likely it is that people will want to take advantage of the CAS for its ability to do tedious computations and to verify derivations. -
The Process of Urban Systems Integration
THE PROCESS OF URBAN SYSTEMS An integrative approach towards the institutional process of systems integration in urban area development INTEGRATION MSc Thesis Eva Ros MSc Thesis November 2017 Eva Ros student number # 4188624 MSc Architecture, Urbanism and Building Sciences Delft University of Technology, department of Management in the Built Environment chair of Urban Area Development (UAD) graduation laboratory Next Generation Waterfronts in collaboration with the AMS institute First mentor Arie Romein Second mentor Ellen van Bueren This thesis was printed on environmentally friendly recycled and unbleached paper 2 THE PROCESS OF URBAN SYSTEMS INTEGRATION An integrative approach towards the institutional process of systems integration in urban area development 3 MANAGEMENT SUMMARY (ENG) INTRODUCTION Today, more than half of the world’s population lives in cities. This makes them centres of resource consumption and waste production. Sustainable development is seen as an opportunity to respond to the consequences of urbanisation and climate change. In recent years the concepts of circularity and urban symbiosis have emerged as popular strategies to develop sustainable urban areas. An example is the experimental project “Straat van de Toekomst”, implementing a circular strategy based on the Greenhouse Village concept (appendix I). This concept implements circular systems for new ways of sanitation, heat and cold storage and greenhouse-house symbiosis. Although many technological artefacts have to be developed for these sustainable solutions, integrating infrastructural systems asks for more than just technological innovation. A socio-cultural change is needed in order to reach systems integration. The institutional part of technological transitions has been underexposed over the past few years.