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13054-Duodecimal.Pdf
Universal Multiple-Octet Coded Character Set International Organization for Standardization Organisation Internationale de Normalisation Международная организация по стандартизации Doc Type: Working Group Document Title: Proposal to encode Duodecimal Digit Forms in the UCS Author: Karl Pentzlin Status: Individual Contribution Action: For consideration by JTC1/SC2/WG2 and UTC Date: 2013-03-30 1. Introduction The duodecimal system (also called dozenal) is a positional numbering system using 12 as its base, similar to the well-known decimal (base 10) and hexadecimal (base 16) systems. Thus, it needs 12 digits, instead of ten digits like the decimal system. It is used by teachers to explain the decimal system by comparing it to an alternative, by hobbyists (see e.g. fig. 1), and by propagators who claim it being superior to the decimal system (mostly because thirds can be expressed by a finite number of digits in a "duodecimal point" presentation). • Besides mathematical and hobbyist publications, the duodecimal system has appeared as subject in the press (see e.g. [Bellos 2012] in the English newspaper "The Guardian" from 2012-12-12, where the lack of types to represent these digits correctly is explicitly stated). Such examples emphasize the need of the encoding of the digit forms proposed here. While it is common practice to represent the extra six digits needed for the hexadecimal system by the uppercase Latin capital letters A,B.C,D,E,F, there is no such established convention regarding the duodecimal system. Some proponents use the Latin letters T and E as the first letters of the English names of "ten" and "eleven" (which obviously is directly perceivable only for English speakers). -
Vigesimal Numerals on Ifẹ̀ (Togo) and Ifẹ̀ (Nigeria) Dialects of Yorùbá
Vigesimal Numerals on Ifẹ̀ (Togo) and Ifẹ̀ (Nigeria) Dialects of Yorùbá Felix Abídèmí Fábùnmi (Ilé-Ifẹ̀) Abstract This study intends to bring Ifẹ̀ (Togo) into a linguistic limelight using the numeral systems. Numerals are a very important aspect of the day to day socio-economic and linguistic life of Ifẹ̀ (Togo) people. The traditional Ifẹ̀ (Togo) number system is vigesimal. In this study, forty- two different number words are listed for Yorùbá Ifẹ̀ (Nigeria) and Yorùbá Ifẹ̀ (Togo) and compared with Standard Yorùbá. We compared the Ifẹ̀ (Togo) number words and counting patterns with that of the Standard Yorùbá and Ifẹ̀ (Nigeria) and discovered that, by the nature of the components of these numbers, majority of the basic number words are either bisyllabic or trisyllabic, each syllable having the form VCV for the cardinals, and CVCV for the ordinals. There are irregularities in tonality; there are also alternations in the sequences of the vowel (oral and nasalized) and consonant sounds. This work finds out that Ifẹ̀ (Togo) has two counting patterns. In the first pattern, it uses addition solely to derive the number words but with a counting pattern where 'ten', 'twenty' and the added number units are taken as a whole. In the second counting pattern, subtraction is used to derive number words but this is applicable only to three numbers i. e. seventeen – /mɛ́ɛtadínóɡú/, eighteen – /méèʤìdínóɡu/ and nineteen – /mɔ̀kɔ̃dínoɡ́ u/. The Ifẹ̀ (Togo) dialect of Yorùbá mostly uses additive number positions. The dialect favours additive number positions more than the subtractive and the multiplicative positions. In other words, higher numbers are frequently used as bases for addition not as bases for multiplication in Ifẹ̀ (Togo). -
Zero Displacement Ternary Number System: the Most Economical Way of Representing Numbers
Revista de Ciências da Computação, Volume III, Ano III, 2008, nº3 Zero Displacement Ternary Number System: the most economical way of representing numbers Fernando Guilherme Silvano Lobo Pimentel , Bank of Portugal, Email: [email protected] Abstract This paper concerns the efficiency of number systems. Following the identification of the most economical conventional integer number system, from a solid criteria, an improvement to such system’s representation economy is proposed which combines the representation efficiency of positional number systems without 0 with the possibility of representing the number 0. A modification to base 3 without 0 makes it possible to obtain a new number system which, according to the identified optimization criteria, becomes the most economic among all integer ones. Key Words: Positional Number Systems, Efficiency, Zero Resumo Este artigo aborda a questão da eficiência de sistemas de números. Partindo da identificação da mais económica base inteira de números de acordo com um critério preestabelecido, propõe-se um melhoramento à economia de representação nessa mesma base através da combinação da eficiência de representação de sistemas de números posicionais sem o zero com a possibilidade de representar o número zero. Uma modificação à base 3 sem zero permite a obtenção de um novo sistema de números que, de acordo com o critério de optimização identificado, é o sistema de representação mais económico entre os sistemas de números inteiros. Palavras-Chave: Sistemas de Números Posicionais, Eficiência, Zero 1 Introduction Counting systems are an indispensable tool in Computing Science. For reasons that are both technological and user friendliness, the performance of information processing depends heavily on the adopted numbering system. -
The Hexadecimal Number System and Memory Addressing
C5537_App C_1107_03/16/2005 APPENDIX C The Hexadecimal Number System and Memory Addressing nderstanding the number system and the coding system that computers use to U store data and communicate with each other is fundamental to understanding how computers work. Early attempts to invent an electronic computing device met with disappointing results as long as inventors tried to use the decimal number sys- tem, with the digits 0–9. Then John Atanasoff proposed using a coding system that expressed everything in terms of different sequences of only two numerals: one repre- sented by the presence of a charge and one represented by the absence of a charge. The numbering system that can be supported by the expression of only two numerals is called base 2, or binary; it was invented by Ada Lovelace many years before, using the numerals 0 and 1. Under Atanasoff’s design, all numbers and other characters would be converted to this binary number system, and all storage, comparisons, and arithmetic would be done using it. Even today, this is one of the basic principles of computers. Every character or number entered into a computer is first converted into a series of 0s and 1s. Many coding schemes and techniques have been invented to manipulate these 0s and 1s, called bits for binary digits. The most widespread binary coding scheme for microcomputers, which is recog- nized as the microcomputer standard, is called ASCII (American Standard Code for Information Interchange). (Appendix B lists the binary code for the basic 127- character set.) In ASCII, each character is assigned an 8-bit code called a byte. -
Bits, Data Types, and Operations
Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. Agenda 1. Data Types 2. Unsigned & Signed Integers 3. Arithmetic Operations Chapter 2 4. Logical Operations 5. Shifting Bits, Data Types, 6. Hexadecimal & Octal Notation and Operations 7. Other Data Types COMPSCI210 S1C 2009 2 Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. 1. Data Types Computer is a binary digital system. How do we represent data in a computer? Digital system: Binary (base two) system: At the lowest level, a computer is an electronic machine. • finite number of symbols • has two states: 0 and 1 • works by controlling the flow of electrons Easy to recognize two conditions: 1. presence of a voltage – we’ll call this state “1” 2. absence of a voltage – we’ll call this state “0” Basic unit of information is the binary digit, or bit. Values with more than two states require multiple bits. • A collection of two bits has four possible states: Could base state on value of voltage, 00, 01, 10, 11 but control and detection circuits more complex. • A collection of three bits has eight possible states: • compare turning on a light switch to 000, 001, 010, 011, 100, 101, 110, 111 measuring or regulating voltage • A collection of n bits has 2n possible states. COMPSCI210 S1C 2009 3 COMPSCI210 S1C 2009 4 1 Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. -
Number Systems and Radix Conversion
Number Systems and Radix Conversion Sanjay Rajopadhye, Colorado State University 1 Introduction These notes for CS 270 describe polynomial number systems. The material is not in the textbook, but will be required for PA1. We humans are comfortable with numbers in the decimal system where each po- sition has a weight which is a power of 10: units have a weight of 1 (100), ten’s have 10 (101), etc. Even the fractional apart after the decimal point have a weight that is a (negative) power of ten. So the number 143.25 has a value that is 1 ∗ 102 + 4 ∗ 101 + 3 ∗ 0 −1 −2 2 5 10 + 2 ∗ 10 + 5 ∗ 10 , i.e., 100 + 40 + 3 + 10 + 100 . You can think of this as a polyno- mial with coefficients 1, 4, 3, 2, and 5 (i.e., the polynomial 1x2 + 4x + 3 + 2x−1 + 5x−2+ evaluated at x = 10. There is nothing special about 10 (just that humans evolved with ten fingers). We can use any radix, r, and write a number system with digits that range from 0 to r − 1. If our radix is larger than 10, we will need to invent “new digits”. We will use the letters of the alphabet: the digit A represents 10, B is 11, K is 20, etc. 2 What is the value of a radix-r number? Mathematically, a sequence of digits (the dot to the right of d0 is called the radix point rather than the decimal point), : : : d2d1d0:d−1d−2 ::: represents a number x defined as follows X i x = dir i 2 1 0 −1 −2 = ::: + d2r + d1r + d0r + d−1r + d−2r + ::: 1 Example What is 3 in radix 3? Answer: 0.1. -
2 1 2 = 30 60 and 1
Math 153 Spring 2010 R. Schultz SOLUTIONS TO EXERCISES FROM math153exercises01.pdf As usual, \Burton" refers to the Seventh Edition of the course text by Burton (the page numbers for the Sixth Edition may be off slightly). Problems from Burton, p. 28 3. The fraction 1=6 is equal to 10=60 and therefore the sexagesimal expression is 0;10. To find the expansion for 1=9 we need to solve 1=9 = x=60. By elementary algebra this means 2 9x = 60 or x = 6 3 . Thus 6 2 1 6 40 1 x = + = + 60 3 · 60 60 60 · 60 which yields the sexagsimal expression 0; 10; 40 for 1/9. Finding the expression for 1/5 just amounts to writing this as 12/60, so the form here is 0;12. 1 1 30 To find 1=24 we again write 1=24 = x=60 and solve for x to get x = 2 2 . Now 2 = 60 and therefore we can proceed as in the second example to conclude that the sexagesimal form for 1/24 is 0;2,30. 1 One proceeds similarly for 1/40, solving 1=40 = x=60 to get x = 1 2 . Much as in the preceding discussion this yields the form 0;1,30. Finally, the same method leads to the equation 5=12 = x=60, which implies that 5/12 has the sexagesimal form 0;25. 4. We shall only rewrite these in standard base 10 fractional notation. The answers are in the back of Burton. (a) The sexagesimal number 1,23,45 is equal to 1 3600 + 23 60 + 45. -
1. Understanding Decimal, Binary, Octal and Hexadecimal Numbers
Objectives: 1. Understanding decimal, binary, octal and hexadecimal numbers. 2. Counting in decimal, binary, octal and hexadecimal systems. 3. Convert a number from one number system to another system. 4. Advantage of octal and hexadecimal systems. 1. Understanding decimal, binary, octal and hexadecimal numbers Decimal number systems: Decimal numbers are made of decimal digits: (0,1,2,3,4,5,6,7,8,9 --------10-base system) The decimal system is a "positional-value system" in which the value of a digit depends on its position. Examples: 453→4 hundreds, 5 tens and 3 units. 4 is the most weight called "most significant digit" MSD. 3 carries the last weight called "least significant digit" LSD. number of items that a decimal number represent: 9261= (9× )+(2× )+(6× )+(1× ) The decimal fractions: 3267.317= (3× )+(2× )+(6× )+(7× )+ (3× ) + (6× ) + (1× ) Decimal point used to separate the integer and fractional part of the number. Formal notation→ . Decimal position values of powers of (10). Positional values "weights" 2 7 7 8 3 . 2 3 4 5 MSD LSD Binary numbers: . Base-2 system (0 or 1). We can represent any quantity that can be represented in decimal or other number systems using binary numbers. Binary number is also positional–value system (power of 2). Example: 1101.011 1 1 0 1 . 0 1 1 MSD LSD Notes: . To find the equivalent of binary numbers in decimal system , we simply take the sum of products of each digit value (0,1)and its positional value: Example: = (1× ) + (0× ) + (1× ) + (1× )+ (1× )+ (0× ) +(1× ) = 8 + 0 + 2 + 1 + + 0 + = In general, any number (decimal, binary, octal and hexadecimal) is simply the sum of products of each digit value and its positional value. -
Scalability of Algorithms for Arithmetic Operations in Radix Notation∗
Scalability of Algorithms for Arithmetic Operations in Radix Notation∗ Anatoly V. Panyukov y Department of Computational Mathematics and Informatics, South Ural State University, Chelyabinsk, Russia [email protected] Abstract We consider precise rational-fractional calculations for distributed com- puting environments with an MPI interface for the algorithmic analysis of large-scale problems sensitive to rounding errors in their software imple- mentation. We can achieve additional software efficacy through applying heterogeneous computer systems that execute, in parallel, local arithmetic operations with large numbers on several threads. Also, we investigate scalability of the algorithms for basic arithmetic operations and methods for increasing their speed. We demonstrate that increased efficacy can be achieved of software for integer arithmetic operations by applying mass parallelism in het- erogeneous computational environments. We propose a redundant radix notation for the construction of well-scaled algorithms for executing ba- sic integer arithmetic operations. Scalability of the algorithms for integer arithmetic operations in the radix notation is easily extended to rational- fractional arithmetic. Keywords: integer computer arithmetic, heterogeneous computer system, radix notation, massive parallelism AMS subject classifications: 68W10 1 Introduction Verified computations have become indispensable tools for algorithmic analysis of large scale unstable problems (see e.g., [1, 4, 5, 7, 8, 9, 10]). Such computations require spe- cific software tools; in this connection, we mention that our library \Exact computa- tion" [11] provides appropriate instruments for implementation of such computations ∗Submitted: January 27, 2013; Revised: August 17, 2014; Accepted: November 7, 2014. yThe author was supported by the Federal special-purpose program "Scientific and scientific-pedagogical personnel of innovation Russia", project 14.B37.21.0395. -
Chapter 6 MISCELLANEOUS NUMBER BASES. the QUINARY
The Number Concept: Its Origin and Development By Levi Leonard Conant Ph. D. Chapter 6 MISCELLANEOUS NUMBER BASES. THE QUINARY SYSTEM. The origin of the quinary mode of counting has been discussed with some fulness in a preceding chapter, and upon that question but little more need be said. It is the first of the natural systems. When the savage has finished his count of the fingers of a single hand, he has reached this natural number base. At this point he ceases to use simple numbers, and begins the process of compounding. By some one of the numerous methods illustrated in earlier chapters, he passes from 5 to 10, using here the fingers of his second hand. He now has two fives; and, just as we say “twenty,” i.e. two tens, he says “two hands,” “the second hand finished,” “all the fingers,” “the fingers of both hands,” “all the fingers come to an end,” or, much more rarely, “one man.” That is, he is, in one of the many ways at his command, saying “two fives.” At 15 he has “three hands” or “one foot”; and at 20 he pauses with “four hands,” “hands and feet,” “both feet,” “all the fingers of hands and feet,” “hands and feet finished,” or, more probably, “one man.” All these modes of expression are strictly natural, and all have been found in the number scales which were, and in many cases still are, in daily use among the uncivilized races of mankind. In its structure the quinary is the simplest, the most primitive, of the natural systems. -
Number Systems and Number Representation Aarti Gupta
Number Systems and Number Representation Aarti Gupta 1 For Your Amusement Question: Why do computer programmers confuse Christmas and Halloween? Answer: Because 25 Dec = 31 Oct -- http://www.electronicsweekly.com 2 Goals of this Lecture Help you learn (or refresh your memory) about: • The binary, hexadecimal, and octal number systems • Finite representation of unsigned integers • Finite representation of signed integers • Finite representation of rational numbers (if time) Why? • A power programmer must know number systems and data representation to fully understand C’s primitive data types Primitive values and the operations on them 3 Agenda Number Systems Finite representation of unsigned integers Finite representation of signed integers Finite representation of rational numbers (if time) 4 The Decimal Number System Name • “decem” (Latin) => ten Characteristics • Ten symbols • 0 1 2 3 4 5 6 7 8 9 • Positional • 2945 ≠ 2495 • 2945 = (2*103) + (9*102) + (4*101) + (5*100) (Most) people use the decimal number system Why? 5 The Binary Number System Name • “binarius” (Latin) => two Characteristics • Two symbols • 0 1 • Positional • 1010B ≠ 1100B Most (digital) computers use the binary number system Why? Terminology • Bit: a binary digit • Byte: (typically) 8 bits 6 Decimal-Binary Equivalence Decimal Binary Decimal Binary 0 0 16 10000 1 1 17 10001 2 10 18 10010 3 11 19 10011 4 100 20 10100 5 101 21 10101 6 110 22 10110 7 111 23 10111 8 1000 24 11000 9 1001 25 11001 10 1010 26 11010 11 1011 27 11011 12 1100 28 11100 13 1101 29 11101 14 1110 30 11110 15 1111 31 11111 .. -
1 Evolution and Base Conversion
Indian Institute of Information Technology Design and Manufacturing, Kancheepuram logo.png Chennai { 600 127, India Instructor An Autonomous Institute under MHRD, Govt of India N.Sadagopan http://www.iiitdm.ac.in Computational Engineering Objectives: • To learn to work with machines (computers, ATMs, Coffee vending machines). • To understand how machines think and work. • To design instructions which machines can understand so that a computational task can be performed. • To learn a language which machines can understand so that human-machine interaction can take place. • To understand the limitations of machines: what can be computed and what can not be computed using machines. Outcome: To program a computer for a given computational task involving one or more of arithmetic, algebraic, logical, relational operations. 1 Evolution and Base Conversion Why Machines ? We shall now discuss the importance of automation; human-centric approach (manual) versus machines. Although machines are designed by humans, for many practical reasons, machines are superior to humans as far as problem solving is concerned. We shall highlight below commonly observed features that make machines powerful. • Reliable, accurate and efficient. • Can do parallel tasks if trained. • Efficient while peforming computations with large numbers. If designed correctly, then there is no scope for error. • Good at micro-level analysis with precision. • Consistent It is important to highlight that not all problems can be solved using machines (computers). For example, (i) whether a person is happy (ii) whether a person is lying (not speaking the truth) (iii) reciting the natural number set (iv) singing a song in a particular raga. Computer: A computational machine In this lecture, we shall discuss a computational machine called computer.