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ISO/IEC 10967

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ISO/IEC 10967 , Language independent arithmetic ( LIA ), is a series of standards on computer arithmetic. It is compatible with ISO/IEC/IEEE 60559:2011, more known as IEEE 754-2008 , and much of the specifications are for IEEE 754 special values (though such values are not required by LIA itself, unless the parameter iec 559 is true ). It was developed by the working group ISO/IEC JTC1/SC22 /WG11, which was disbanded in 2011.

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68-397: LIA consists of three parts: Part 1 deals with the basic integer and floating point datatypes (for multiple radices, including 2 and 10), but unlike IEEE 754-2008 not the representation of the values. Part 1 also deals with basic arithmetic, including comparisons, on values of such datatypes. The parameter iec 559 is expected to be true for most implementations of LIA-1. Part 1

136-483: A minus sign before the value. However, most programming languages disallow use of commas or spaces for digit grouping . Examples of integer literals are: There are several alternate methods for writing integer literals in many programming languages: Two%27s complement Two's complement is the most common method of representing signed (positive, negative, and zero) integers on computers, and more generally, fixed point binary values. Two's complement uses

204-615: A nibble ), usually with additional bits for a sign. Many modern CPUs provide limited support for decimal integers as an extended datatype, providing instructions for converting such values to and from binary values. Depending on the architecture, decimal integers may have fixed sizes (e.g., 7 decimal digits plus a sign fit into a 32-bit word), or may be variable-length (up to some maximum digit size), typically occupying two digits per byte (octet). IPv6 addresses, GUIDs Different CPUs support different integral data types. Typically, hardware will support both signed and unsigned types, but only

272-847: A Report on the EDVAC proposal for an electronic stored-program digital computer. The 1949 EDSAC , which was inspired by the First Draft , used two's complement representation of negative binary integers. Many early computers, including the CDC 6600 , the LINC , the PDP-1 , and the UNIVAC 1107, use ones' complement notation; the descendants of the UNIVAC 1107, the UNIVAC 1100/2200 series , continued to do so. The IBM 700/7000 series scientific machines use sign/magnitude notation, except for

340-417: A binary representation), a two's complement for the number 3 ( 011 2 ) is 5 ( 101 2 ), because summed to the original it gives 2 = 1000 2 = 011 2 + 101 2 . Where this correspondence is employed for representing negative numbers, it effectively means, using an analogy with decimal digits and a number-space only allowing eight non-negative numbers 0 through 7, dividing the number-space in two sets:

408-549: A computer as a group of binary digits (bits). The size of the grouping varies so the set of integer sizes available varies between different types of computers. Computer hardware nearly always provides a way to represent a processor register or memory address as an integer. The value of an item with an integral type is the mathematical integer that it corresponds to. Integral types may be unsigned (capable of representing only non-negative integers) or signed (capable of representing negative integers as well). An integer value

476-505: A given negative number in binary digits: For example, to calculate the decimal number −6 in binary from the number 6 : To verify that 1010 indeed has a value of −6 , add the place values together, but subtract the sign value from the final calculation. Because the most significant value is the sign value, it must be subtracted to produce the correct result: 1010 = − ( 1 ×2 ) + ( 0 ×2 ) + ( 1 ×2 ) + ( 0 ×2 ) = 1 ×−8 + 0 + 1 ×2 + 0 = −6. Note that steps 2 and 3 together are

544-663: A machine-independent way; others have varying definitions depending on the underlying processor word size. Not all language implementations define variables of all integer sizes, and defined sizes may not even be distinct in a particular implementation. An integer in one programming language may be a different size in a different language, on a different processor, or in an execution context of different bitness; see § Words . Some older computer architectures used decimal representations of integers, stored in binary-coded decimal (BCD) or other format. These values generally require data sizes of 4 bits per decimal digit (sometimes called

612-407: A nonzero number equal to its own negation is forced by the fact that zero is its own negation, and that the total number of numbers is even. Proof: there are 2^n - 1 nonzero numbers (an odd number). Negation would partition the nonzero numbers into sets of size 2, but this would result in the set of nonzero numbers having even cardinality. So at least one of the sets has size 1, i.e., a nonzero number

680-407: A number to its two's complement results in the N lowest bits set to 0 and the carry bit 1, where the latter has the weight (reading it as an unsigned binary number) of 2 . Hence, in the unsigned binary arithmetic the value of two's-complement negative number x * of a positive x satisfies the equality x * = 2 − x . For example, to find the four-bit representation of −5 (subscripts denote

748-523: A programmer using the C language incorrectly declares as int a variable that will be used to store values greater than 2 −1, the program will fail on computers with 16-bit integers. That variable should have been declared as long , which has at least 32 bits on any computer. Programmers may also incorrectly assume that a pointer can be converted to an integer without loss of information, which may work on (some) 32-bit computers, but fail on 64-bit computers with 64-bit pointers and 32-bit integers. This issue

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816-410: A signed integer. Both shifting and doubling the precision are important for some multiplication algorithms. Note that unlike addition and subtraction, width extension and right shifting are done differently for signed and unsigned numbers. With only one exception, starting with any number in two's-complement representation, if all the bits are flipped and 1 added, the two's-complement representation of

884-436: A single bit, but is often given a full byte for convenience of addressing and speed of access. A four-bit quantity is known as a nibble (when eating, being smaller than a bite ) or nybble (being a pun on the form of the word byte ). One nibble corresponds to one digit in hexadecimal and holds one digit or a sign code in binary-coded decimal. The term byte initially meant 'the smallest addressable unit of memory'. In

952-416: A small, fixed set of widths. The table above lists integral type widths that are supported in hardware by common processors. High-level programming languages provide more possibilities. It is common to have a 'double width' integral type that has twice as many bits as the biggest hardware-supported type. Many languages also have bit-field types (a specified number of bits, usually constrained to be less than

1020-405: A two's-complement number with a certain number of bits into one with more bits (e.g., when copying from a one-byte variable to a two-byte variable), the most-significant bit must be repeated in all the extra bits. Some processors do this in a single instruction; on other processors, a conditional must be used followed by code to set the relevant bits or bytes. Similarly, when a number is shifted to

1088-471: A typical datum in a computer has some minimal and maximum possible value. The most common representation of a positive integer is a string of bits , using the binary numeral system . The order of the memory bytes storing the bits varies; see endianness . The width , precision , or bitness of an integral type is the number of bits in its representation. An integral type with n bits can encode 2 numbers; for example an unsigned type typically represents

1156-512: A valid method to compute the additive inverse − n {\displaystyle -n} of any (positive or negative) integer n {\displaystyle n} where both input and output are in two's complement format. An alternative to compute − n {\displaystyle -n} is to use subtraction 0 − n {\displaystyle 0-n} . See below for subtraction of integers in two's complement format. Two's complement

1224-452: A whole integer whose range is greater than or equal to that of a standard integer on the same machine. In C , it is denoted by long . It is required to be at least 32 bits, and may or may not be larger than a standard integer. A conforming program can assume that it can safely store values between −(2 −1) and 2 −1, but it may not assume that the range is not larger. In the C99 version of

1292-422: A word is thus CPU-specific. Many different word sizes have been used, including 6-, 8-, 12-, 16-, 18-, 24-, 32-, 36-, 39-, 40-, 48-, 60-, and 64-bit. Since it is architectural, the size of a word is usually set by the first CPU in a family, rather than the characteristics of a later compatible CPU. The meanings of terms derived from word , such as longword , doubleword , quadword , and halfword , also vary with

1360-404: Is 1, so the value represented is negative. The two's complement of a negative number is the corresponding positive value, except in the special case of the most negative number . For example, inverting the bits of −5 (above) gives: And adding one gives the final value: Likewise, the two's complement of zero is zero: inverting gives all ones, and adding one changes the ones back to zeros (since

1428-484: Is also used in computer science as another method of signed number representation and is called a Ones' complement (named that because summing such a number with the original gives the 'all 1s'). Compared to other systems for representing signed numbers ( e.g., ones' complement ), the two's complement has the advantage that the fundamental arithmetic operations of addition , subtraction , and multiplication are identical to those for unsigned binary numbers (as long as

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1496-420: Is an example of a radix complement . The 'two' in the name refers to the term which, expanded fully in an N -bit system, is actually "two to the power of N" - 2 (the only case where exactly 'two' would be produced in this term is N = 1 , so for a 1-bit system, but these do not have capacity for both a sign and a zero), and it is only this full term in respect to which the complement is calculated. As such,

1564-404: Is an exception, it is a valid number in regular two's complement systems. All arithmetic operations work with it both as an operand and (unless there was an overflow) a result. Given a set of all possible N -bit values, we can assign the lower (by the binary value) half to be the integers from 0 to (2 − 1) inclusive and the upper half to be −2 to −1 inclusive. The upper half (again, by

1632-399: Is arbitrary, but by convention all negative numbers have a left-most bit ( most significant bit ) of one. Therefore, the most positive four-bit number is 0111 (7.) and the most negative is 1000 (−8.). Because of the use of the left-most bit as the sign bit, the absolute value of the most negative number (|−8.| = 8.) is too large to represent. Negating a two's complement number

1700-403: Is convenient because there is a perfect one-to-one correspondence between representations and values (in particular, no separate +0 and −0 ), and because addition , subtraction and multiplication do not need to distinguish between signed and unsigned types. Other possibilities include offset binary , sign-magnitude , and ones' complement . Some computer languages define integer sizes in

1768-414: Is its own negation. The presence of the most negative number can lead to unexpected programming bugs where the result has an unexpected sign, or leads to an unexpected overflow exception, or leads to completely strange behaviors. For example, In the C and C++ programming languages, the above behaviours are undefined and not only may they return strange results, but the compiler is free to assume that

1836-453: Is often smaller than a standard integer, but this is not required. A conforming program can assume that it can safely store values between −(2 −1) and 2 −1, but it may not assume that the range is not larger. In Java , a short is always a 16-bit integer. In the Windows API , the datatype SHORT is defined as a 16-bit signed integer on all machines. A long integer can represent

1904-472: Is permitted. This can be an issue when exchanging code and data between platforms, or doing direct hardware access. Thus, there are several sets of headers providing platform independent exact width types. The C standard library provides stdint.h ; this was introduced in C99 and C++11. Integer literals can be written as regular Arabic numerals , consisting of a sequence of digits and with negation indicated by

1972-423: Is platform-dependent. In C , it is denoted by int and required to be at least 16 bits. Windows and Unix systems have 32-bit int s on both 32-bit and 64-bit architectures. A short integer can represent a whole number that may take less storage, while having a smaller range, compared with a standard integer on the same machine. In C , it is denoted by short . It is required to be at least 16 bits, and

2040-491: Is resolved by C99 in stdint.h in the form of intptr_t . The bitness of a program may refer to the word size (or bitness) of the processor on which it runs, or it may refer to the width of a memory address or pointer, which can differ between execution modes or contexts. For example, 64-bit versions of Microsoft Windows support existing 32-bit binaries, and programs compiled for Linux's x32 ABI run in 64-bit mode yet use 32-bit memory addresses. The standard integer size

2108-405: Is simple: Invert all the bits and add one to the result. For example, negating 1111, we get 0000 + 1 = 1 . Therefore, 1111 in binary must represent −1 in decimal. The system is useful in simplifying the implementation of arithmetic on computer hardware. Adding 0011 (3.) to 1111 (−1.) at first seems to give the incorrect answer of 10010. However, the hardware can simply ignore

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2176-444: Is the negative of the corresponding power of two. The value  w of an N -bit integer a N − 1 a N − 2 … a 0 {\displaystyle a_{N-1}a_{N-2}\dots a_{0}} is given by the following formula: The most significant bit determines the sign of the number and is sometimes called the sign bit . Unlike in sign-and-magnitude representation,

2244-411: Is typically specified in the source code of a program as a sequence of digits optionally prefixed with + or −. Some programming languages allow other notations, such as hexadecimal (base 16) or octal (base 8). Some programming languages also permit digit group separators . The internal representation of this datum is the way the value is stored in the computer's memory. Unlike mathematical integers,

2312-632: The C programming language and the C++11 version of C++ , a long long type is supported that has double the minimum capacity of the standard long . This type is not supported by compilers that require C code to be compliant with the previous C++ standard, C++03, because the long long type did not exist in C++03. For an ANSI/ISO compliant compiler, the minimum requirements for the specified ranges, that is, −(2 −1) to 2 −1 for signed and 0 to 2 −1 for unsigned, must be fulfilled; however, extending this range

2380-420: The base of the representation ): Hence, with N = 4 : The calculation can be done entirely in base 10, converting to base 2 at the end: A shortcut to manually convert a binary number into its two's complement is to start at the least significant bit (LSB), and copy all the zeros, working from LSB toward the most significant bit (MSB) until the first 1 is reached; then copy that 1, and flip all

2448-399: The binary digit with the greatest value as the sign to indicate whether the binary number is positive or negative; when the most significant bit is 1 the number is signed as negative and when the most significant bit is 0 the number is signed as positive. As a result, non-negative numbers are represented as themselves: 6 is 0110, zero is 0000, and -6 is 1010 (~6 + 1). Note that while

2516-462: The CPU and OS. Practically all new desktop processors are capable of using 64-bit words, though embedded processors with 8- and 16-bit word size are still common. The 36-bit word length was common in the early days of computers. One important cause of non-portability of software is the incorrect assumption that all computers have the same word size as the computer used by the programmer. For example, if

2584-474: The binary two's complement of a positive number essentially means subtracting the number from the 2 . But as can be seen for the three-bit example and the four-bit 1000 2 ( 2 ), the number 2 will not itself be representable in a system limited to N bits, as it is just outside the N bits space (the number is nevertheless the reference point of the "Two's complement" in an N -bit system). Because of this, systems with maximally N -bits must break

2652-424: The binary value) can be used to represent negative integers from −2 to −1 because, under addition modulo 2 they behave the same way as those negative integers. That is to say that, because i + j mod 2 = i + ( j + 2 ) mod 2 , any value in the set {  j + k  2 | k is an integer }  can be used in place of  j . For example, with eight bits, the unsigned bytes are 0 to 255. Subtracting 256 from

2720-476: The computer industry. The first minicomputer, the PDP-8 introduced in 1965, uses two's complement arithmetic, as do the 1969 Data General Nova , the 1970 PDP-11 , and almost all subsequent minicomputers and microcomputers. A two's-complement number system encodes positive and negative numbers in a binary number representation. The weight of each bit is a power of two, except for the most significant bit , whose weight

2788-517: The computer's memory as is necessary to store the numbers; however, a computer has only a finite amount of storage, so they, too, can only represent a finite subset of the mathematical integers. These schemes support very large numbers; for example one kilobyte of memory could be used to store numbers up to 2466 decimal digits long. A Boolean or Flag type is a type that can represent only two values: 0 and 1, usually identified with false and true respectively. This type can be stored in memory using

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2856-444: The desired property that the sign of integers can be reversed by taking the complement of its binary representation, but two's complement has an exception - the lowest negative, as can be seen in the tables. The method of complements had long been used to perform subtraction in decimal adding machines and mechanical calculators . John von Neumann suggested use of two's complement binary representation in his 1945 First Draft of

2924-407: The field of computer networking , where computers with different byte widths might have to communicate. In modern usage byte almost invariably means eight bits, since all other sizes have fallen into disuse; thus byte has come to be synonymous with octet . The term 'word' is used for a small group of bits that are handled simultaneously by processors of a particular architecture . The size of

2992-485: The first four of the numbers 0 1 2 3 remain the same, while the remaining four encode negative numbers, maintaining their growing order, so making 4 encode -4, 5 encode -3, 6 encode -2 and 7 encode -1. A binary representation has an additional utility however, because the most significant bit also indicates the group (and the sign): it is 0 for the first group of non-negatives, and 1 for the second group of negatives. The tables at right illustrate this property. Calculation of

3060-549: The index registers which are two's complement. Early commercial computers storing negative values in two's complement form include the English Electric DEUCE (1955) and the Digital Equipment Corporation PDP-5 (1963) and PDP-6 (1964). The System/360 , introduced in 1964 by IBM , then the dominant player in the computer industry, made two's complement the most widely used binary representation in

3128-428: The inputs are represented in the same number of bits as the output, and any overflow beyond those bits is discarded from the result). This property makes the system simpler to implement, especially for higher-precision arithmetic. Additionally, unlike ones' complement systems, two's complement has no representation for negative zero , and thus does not suffer from its associated difficulties. Otherwise, both schemes have

3196-485: The left-most bit to give the correct answer of 0010 (2.). Overflow checks still must exist to catch operations such as summing 0100 and 0100. The system therefore allows addition of negative operands without a subtraction circuit or a circuit that detects the sign of a number. Moreover, that addition circuit can also perform subtraction by taking the two's complement of a number (see below), which only requires an additional cycle or its own adder circuit. To perform this,

3264-567: The maximum hardware-supported width) and range types (that can represent only the integers in a specified range). Some languages, such as Lisp , Smalltalk , REXX , Haskell , Python , and Raku , support arbitrary precision integers (also known as infinite precision integers or bignums ). Other languages that do not support this concept as a top-level construct may have libraries available to represent very large numbers using arrays of smaller variables, such as Java's BigInteger class or Perl 's " bigint " package. These use as much of

3332-403: The negative of that number is obtained. Positive 12 becomes negative 12, positive 5 becomes negative 5, zero becomes zero(+overflow), etc. Taking the two's complement (negation) of the minimum number in the range will not have the desired effect of negating the number. For example, the two's complement of −128 in an eight-bit system is −128 , as shown in the table to

3400-471: The non-negative values 0 through 2 − 1 . Other encodings of integer values to bit patterns are sometimes used, for example binary-coded decimal or Gray code , or as printed character codes such as ASCII . There are four well-known ways to represent signed numbers in a binary computing system. The most common is two's complement , which allows a signed integral type with n bits to represent numbers from −2 through 2 − 1 . Two's complement arithmetic

3468-408: The number of binary bits is fixed throughout a computation it is otherwise arbitrary. Unlike the ones' complement scheme, the two's complement scheme has only one representation for zero. Furthermore, arithmetic implementations can be used on signed as well as unsigned integers and differ only in the integer overflow situations. The following is the procedure for obtaining the two's complement of

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3536-458: The overflow is ignored). The two's complement of the most negative number representable (e.g. a one as the most-significant bit and all other bits zero) is itself. Hence, there is an 'extra' negative number for which two's complement does not give the negation, see § Most negative number below. The sum of a number and its ones' complement is an N -bit word with all 1 bits, which is (reading as an unsigned binary number) 2 − 1 . Then adding

3604-407: The past, 5-, 6-, 7-, 8-, and 9-bit bytes have all been used. There have also been computers that could address individual bits ('bit-addressed machine'), or that could only address 16- or 32-bit quantities ('word-addressed machine'). The term byte was usually not used at all in connection with bit- and word-addressed machines. The term octet always refers to an 8-bit quantity. It is mostly used in

3672-436: The pattern represents a non-negative value. To convert to −5 in two's-complement notation, first, all bits are inverted, that is: 0 becomes 1 and 1 becomes 0: At this point, the representation is the ones' complement of the decimal value −5. To obtain the two's complement, 1 is added to the result, giving: The result is a signed binary number representing the decimal value −5 in two's-complement form. The most significant bit

3740-453: The precise definition of the Two's complement of an N -bit number is the complement of that number with respect to 2 . The defining property of being a complement to a number with respect to 2 is simply that the summation of this number with the original produce 2 . For example, using binary with numbers up to three-bits (so N = 3 and 2 = 2 = 8 = 1000 2 , where ' 2 ' indicates

3808-400: The programmer has ensured that undefined numerical operations never happen, and make inferences from that assumption. This enables a number of optimizations, but also leads to a number of strange bugs in programs with these undefined calculations. This most negative number in two's complement is sometimes called "the weird number" , because it is the only exception. Although the number

3876-490: The programming language standard. The C99 , C11 and C17 standards for C , and in 2013, the standards for C++ and Modula-2 , have partial bindings to LIA-1. Integer (computer science) In computer science, an integer is a datum of integral data type , a data type that represents some range of mathematical integers . Integral data types may be of different sizes and may or may not be allowed to contain negative values. Integers are commonly represented in

3944-449: The remaining bits (Leave the MSB as a 1 if the initial number was in sign-and-magnitude representation). This shortcut allows a person to convert a number to its two's complement without first forming its ones' complement. For example: in two's complement representation, the negation of "0011 1100" is "1100 0 100 ", where the underlined digits were unchanged by the copying operation (while

4012-462: The rest of the digits were flipped). In computer circuitry, this method is no faster than the "complement and add one" method; both methods require working sequentially from right to left, propagating logic changes. The method of complementing and adding one can be sped up by a standard carry look-ahead adder circuit; the LSB towards MSB method can be sped up by a similar logic transformation. When turning

4080-399: The right . Although the expected result from negating −128 is +128 , there is no representation of +128 with an eight bit two's complement system and thus it is in fact impossible to represent the negation. Note that the two's complement being the same number is detected as an overflow condition since there was a carry into but not out of the most-significant bit. Having

4148-419: The right, the most-significant bit, which contains the sign information, must be maintained. However, when shifted to the left, a bit is shifted out. These rules preserve the common semantics that left shifts multiply the number by two and right shifts divide the number by two. However, if the most-significant bit changes from 0 to 1 (and vice versa), overflow is said to occur in the case that the value represents

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4216-427: The sign bit also has the weight −(2 ) shown above. Using N bits, all integers from −(2 ) to 2 − 1 can be represented. In two's complement notation, a non-negative number is represented by its ordinary binary representation ; in this case, the most significant bit is 0. Though, the range of numbers represented is not the same as with unsigned binary numbers. For example, an 8-bit unsigned number can represent

4284-512: The specifications in LIA-3 are inspired by the specifications for imaginary and complex datatypes and operations in C , Ada and Common Lisp . Each of the parts provide suggested bindings for a number of programming languages. These are not part of the LIA standards, just suggestions, and are not complete. Authors of a programming language standard may wish to alter the suggestions before any incorporation in

4352-400: The subtraction into two operations: first subtract from the maximum number in the N -bit system, that is 2 -1 (this term in binary is actually a simple number consisting of 'all 1s', and a subtraction from it can be done simply by inverting all bits in the number also known as the bitwise NOT operation ) and then adding the one. Coincidentally, that intermediate number before adding the one

4420-528: The top half (128 to 255) yields the signed bytes −128 to −1. The relationship to two's complement is realised by noting that 256 = 255 + 1 , and (255 − x ) is the ones' complement of  x . For example, an 8 bit number can only represent every integer from −128. to 127., inclusive, since (2 = 128.) . −95. modulo 256. is equivalent to 161. since Fundamentally, the system represents negative integers by counting backward and wrapping around . The boundary between positive and negative numbers

4488-399: The two's complement of a negative binary number, all bits are inverted, or "flipped", by using the bitwise NOT operation; the value of 1 is then added to the resulting value, ignoring the overflow which occurs when taking the two's complement of 0. For example, using 1 byte (=8 bits), the decimal number 5 is represented by The most significant bit (the leftmost bit in this case) is 0, so

4556-425: The values 0 to 255 (11111111). However a two's complement 8-bit number can only represent non-negative integers from 0 to 127 (01111111), because the rest of the bit combinations with the most significant bit as '1' represent the negative integers −1 to −128. The two's complement operation is the additive inverse operation, so negative numbers are represented by the two's complement of the absolute value . To get

4624-649: Was revised, to the second edition, to become more in line with the specifications in parts 2 and 3. Part 2 deals with some additional "basic" operations on integer and floating point datatype values, but focuses primarily on specifying requirements on numerical versions of elementary functions . Much of the specifications in LIA-2 are inspired by the specifications in Ada for elementary functions. Part 3 generalizes parts 1 and 2 to deal with imaginary and complex datatypes and arithmetic and elementary functions on such values. Much of

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