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floating point

A Wisdom Archive on floating point

floating point

A selection of articles related to floating point

Floating point

ARTICLES RELATED TO floating point

floating point: Encyclopedia II - Division by zero - Algebraic interpretation

It is generally regarded among mathematicians that a natural way to interpret division by zero is to first define division in terms of other arithmetic operations. Under the standard rules for arithmetic on integers, rational numbers, real numbers and complex numbers, division by zero is undefined. Division by zero must be left undefined in any mathematical system that obeys the axioms of a field. The reason is that division is defined to be the inverse operation of multiplication. This means that the value of is the solution x of th ...

See also:

Division by zero, Division by zero - Early attempts, Division by zero - Algebraic interpretation, Division by zero - Fallacies based on division by zero, Division by zero - Abstract algebra, Division by zero - Limits and division by zero, Division by zero - Formal interpretation, Division by zero - Other number systems, Division by zero - Real projective line, Division by zero - Riemann sphere, Division by zero - Non-standard analysis, Division by zero - Abstract algebra, Division by zero - In mathematical analysis, Division by zero - Division by zero in computer arithmetic

Read more here: » Division by zero: Encyclopedia II - Division by zero - Algebraic interpretation

floating point: Encyclopedia II - Coprocessor - Intel coprocessors

The original IBM PC included a socket for the Intel 8087 floating point coprocessor which was a popular option for people using the PC for CAD or mathematics-intensive calculations. In that architecture, the coprocessor sped up floating-point arithmetic on the order of fifty-fold. Users that only used the PC for word processing, for example, saved the high cost of the coprocessor, which would not have accele ...

See also:

Coprocessor, Coprocessor - Intel coprocessors, Coprocessor - Motorola coprocessors, Coprocessor - Other coprocessors

Read more here: » Coprocessor: Encyclopedia II - Coprocessor - Intel coprocessors

floating point: Encyclopedia II - Commodore BASIC - Versions and features

A list of CBM BASIC versions in chronological order, with successively added features: Commodore BASIC - Released versions. V1.0: PET 2001 with chiclet keyboard and built-in Datassette (original PET) bug: arrays limited to 256 elements bug: PEEK command won't work above memory location $C000 V2.0: PET 2001 with full-travel keyboard & upgrade ROMs; VIC-20; C64 most 1.0 bugs squashed PET Easter egg – enter WAIT 6502,<x&g ...

See also:

Commodore BASIC, Commodore BASIC - Versions and features, Commodore BASIC - Released versions, Commodore BASIC - Unreleased versions, Commodore BASIC - Technical details, Commodore BASIC - Notable extension packages

Read more here: » Commodore BASIC: Encyclopedia II - Commodore BASIC - Versions and features

floating point: Encyclopedia II - FLOPS - FLOPS GPUs and game consoles

Very high FLOPS figures are often quoted for inexpensive computer video cards and game consoles. For example, the Xbox 360 has been announced as having a system floating point performance of around one hundred GFLOPS, while the PS3 has been announced as having 218 GFLOPS. By comparison, a high-end general-purpose PC would have a FLOPS rating of around ten GFLOPS, if the performance of its CPU alone was considered. The 1 or 2 TFLOPS ratings that were sometimes mentioned regarding the conso ...

See also:

FLOPS, FLOPS - The performance spectrum, FLOPS - FLOPS as a measure of performance, FLOPS - FLOPS GPUs and game consoles, FLOPS - Cost of Computing, FLOPS - Trivia

Read more here: » FLOPS: Encyclopedia II - FLOPS - FLOPS GPUs and game consoles

floating point: Encyclopedia II - Trigonometric function - History

The earliest systematic study of trigonometric functions and tabulation of their values was performed by Hipparchus of Nicaea (180-125 BC), who tabulated the lengths of circle arcs (angle A times radius r) with the lengths of the subtending chords (2r sin(A/2)). Later, Ptolemy (2nd century) expanded upon this work in his Almagest, deriving addition/subtraction formulas for the equivalent of sin(A + B) and cos(A + B). Ptolemy also derived the equivalent of the half-angle formula s ...

See also:

Trigonometric function, Trigonometric function - History, Trigonometric function - Right triangle definitions, Trigonometric function - Mnemonics, Trigonometric function - Slope definitions, Trigonometric function - Unit-circle definitions, Trigonometric function - Series definitions, Trigonometric function - Relationship to exponential function, Trigonometric function - Definitions via differential equations, Trigonometric function - The significance of radians, Trigonometric function - Other definitions, Trigonometric function - Computation, Trigonometric function - Inverse functions, Trigonometric function - Identities, Trigonometric function - Properties and applications, Trigonometric function - Law of sines, Trigonometric function - Law of cosines, Trigonometric function - Law of tangents

Read more here: » Trigonometric function: Encyclopedia II - Trigonometric function - History

floating point: Encyclopedia II - Sinclair ZX81 - ZX81 video technical operation

The technical means used to implement the display, while clever, was rather thoroughly non-standard. The system operated as follows: The ZX81 contains (depending on RAM type) four chips; a RAM, a ROM, a CPU and an ASIC (called a ULA – Uncommitted Logic Array). A series of resistors were placed in series with the data lines; the CPU and ROM were on one side of the data resistors, the RAM on the other. Addresses 0-8191 were allocated for ROM (the last half-kilobyte contained the bitmap image ...

See also:

Sinclair ZX81, Sinclair ZX81 - General description, Sinclair ZX81 - ZX81 video technical operation

Read more here: » Sinclair ZX81: Encyclopedia II - Sinclair ZX81 - ZX81 video technical operation

floating point: Encyclopedia II - Half precision - Half precision memory format

Sign bit: 1 Exponent width: 5 Significand precision: 10 The format is written with an implicit integer bit with value 1 unless the written exponent is all zeros. Thus only 10 bits of the fraction appear in the memory format. syyy yyxx xxxx xxxx (10 xs) Half precision - Exponent encodings. Emin (0x01) = −14 Emax (0x1e) = 15 Exponent bias (0x0f) = 15 The true exponent = written exponent − exponent bias 0x00 and 0x1f are reserved exponents 0x00 is used to represent zer ...

See also:

Half precision, Half precision - Half precision memory format, Half precision - Exponent encodings, Half precision - Half-precision examples in hexadecimal, Half precision - Usage note

Read more here: » Half precision: Encyclopedia II - Half precision - Half precision memory format

floating point: Encyclopedia II - High dynamic range imaging - Difference between high dynamic range and traditional digital images

Information stored in high dynamic range (HDR) images usually correspond to the physical values of luminance or radiance that can be observed in the real world. This is different to traditional digital images, which represent colors that should appear on a monitor or a paper print. Therefore HDR image formats are often called scene-referred, in contrast to traditional digital images, which are device-referred or output-referred. Furthermore, traditional images are usually encoded for the human visual system (maximizing the visual information ...

See also:

High dynamic range imaging, High dynamic range imaging - Difference between high dynamic range and traditional digital images

Read more here: » High dynamic range imaging: Encyclopedia II - High dynamic range imaging - Difference between high dynamic range and traditional digital images

floating point: Encyclopedia II - Single precision - Single precision memory format

Sign bit: 1 Exponent width: 8 Significand precision: 24 The format is written with an implicit integer bit with value 1 unless the written exponent is all zeros. Thus only 23 bits of the fraction appear in the memory format. syyy yyyy yxxx xxxx xxxx xxxx xxxx xxxx (23 xs) Single precision - Exponent encodings. Emin (0x01) = -126 Emax (0x7e) = 127 Exponent bias (0x3f) = 127 The true exponent = written exponent - exponent bias 0x00 and 0x7f are reserved exponents 0x00 is used to represent ...

See also:

Single precision, Single precision - Single precision memory format, Single precision - Exponent encodings, Single precision - Single precision examples in hexadecimal

Read more here: » Single precision: Encyclopedia II - Single precision - Single precision memory format

floating point: Encyclopedia II - Haversine formula - The haversine formula

For two points on a sphere (of radius R) with latitudes φ1 and φ2, latitude separation Δφ = φ1 − φ2, and longitude separation Δλ, where angles are in radians, the distance d between the two points (along a great circle of the sphere; see spherical distance) is related to their locations by the formula: Let h denote haversin(d/R), given from above. One can then solve for d either by simply applying the inverse haversine (if available) or by usin ...

See also:

Haversine formula, Haversine formula - The haversine formula, Haversine formula - The law of haversines

Read more here: » Haversine formula: Encyclopedia II - Haversine formula - The haversine formula

floating point: Encyclopedia II - History of mathematics - Mathematics in prehistory

Long before the earliest written records, there are drawings that indicate a knowledge of mathematics and of measurement of time based on the stars. For example, paleontologists have discovered ochre rocks in a cave in South Africa adorned with scratched geometric patterns dating back more than 70,000 years [1]. Also prehistoric artifacts discovered in Africa and France, dated between 35000 BC and 20000 BC, indicate early attempts to quantify time Evidence exists that early counting involved women who kept records of their monthly biological ...

See also:

History of mathematics, History of mathematics - Mathematics in prehistory, History of mathematics - Egyptian and Babylonian mathematics 2000 BC - 600 BC, History of mathematics - Ancient Indian mathematics 800 BC - 200 BC, History of mathematics - Greek and Hellenistic mathematics 550 BC - 200 BC, History of mathematics - Chinese mathematics 200 BC - AD 1200, History of mathematics - Classical Indian mathematics 200 BC - AD 1600, History of mathematics - Arabic and Persian mathematics 650 - 1500, History of mathematics - European Renaissance mathematics 1200 - 1600, History of mathematics - 17th century, History of mathematics - 18th century, History of mathematics - Complex numbers, History of mathematics - Miscellaneous historical notes, History of mathematics - Notes

Read more here: » History of mathematics: Encyclopedia II - History of mathematics - Mathematics in prehistory

floating point: Encyclopedia II - Genetic algorithm - Operation of a GA

An individual, or solution to the problem to be solved, is represented by a list of parameters, called chromosome or genome. Chromosomes are typically represented as simple strings of data and instructions, although a wide variety of other data structures for storing chromosomes may also be used. Initially several such individuals are randomly generated to form the first initial population. The user of the algorithm may seed the gene pool with "hint ...

See also:

Genetic algorithm, Genetic algorithm - Operation of a GA, Genetic algorithm - Pseudo-code algorithm, Genetic algorithm - Observations, Genetic algorithm - Variants, Genetic algorithm - Problem domains, Genetic algorithm - History, Genetic algorithm - Applications, Genetic algorithm - Related techniques, Genetic algorithm - Building block hypothesis

Read more here: » Genetic algorithm: Encyclopedia II - Genetic algorithm - Operation of a GA

floating point: Encyclopedia II - Texas Instruments - History

Texas Instruments was founded by Cecil H. Green, J. Erik Jonsson, Eugene McDermott and Patrick E. Haggerty. On December 6, 1941, the four men purchased Geophysical Service Incorporated (GSI), a pioneering provider of seismic exploration services to the petroleum industry. During World War II, GSI built electronics for the U.S. Army Signal Corps and the U.S. Navy. After the war, GSI continued to produce electronics, and in 1951 the company changed its name to Texas Instruments; GSI became a wholly-owned subsidiary of the new company. An early ...

See also:

Texas Instruments, Texas Instruments - History, Texas Instruments - Consumer electronics and computers, Texas Instruments - Defense electronics, Texas Instruments - TI today, Texas Instruments - Semiconductors, Texas Instruments - DLP products, Texas Instruments - Sensors and controls, Texas Instruments - Educational and productivity solutions

Read more here: » Texas Instruments: Encyclopedia II - Texas Instruments - History

floating point: Encyclopedia II - RISC - Meanwhile...

While the RISC philosophy was coming into its own, new ideas about how to dramatically increase performance of the CPUs were starting to develop. In the early 1980s it was thought that existing design was reaching theoretical limits. Future improvements in speed would be primarily through improved semiconductor "process", that is, smaller features (transistors and wires) on the chip. The complexity of the chip would remain largely the same, but the smaller size would allow it to run at higher clock rates. A considerable amount of effo ...

See also:

RISC, RISC - RISC design philosophy, RISC - Pre-RISC design philosophy, RISC - Meanwhile..., RISC - Early RISC, RISC - Later RISC, RISC - Alternative term

Read more here: » RISC: Encyclopedia II - RISC - Meanwhile...

floating point: Encyclopedia II - Graphics processing unit - History

Modern GPUs are descended from the monolithic graphic chips of the late 1970s and 1980s. These chips had limited BitBLT support in the form of sprites (if they had BitBLT support at all), and usually had no shape-drawing support. Some GPUs could run several operations in a display list, and could use DMA to reduce the load on the host processor; an early example was the ANTIC co-processor used in the Atari 800 and Atari 5200. In the late 1980s and early 1990s, high-speed, general-purpose microprocessors became popular for implementing high-e ...

See also:

Graphics processing unit, Graphics processing unit - History, Graphics processing unit - Current GPU capabilities, Graphics processing unit - GPU manufacturers

Read more here: » Graphics processing unit: Encyclopedia II - Graphics processing unit - History

floating point: Encyclopedia II - Real number - Properties

Real number - Completeness. The main reason for introducing the reals is that the reals contain all limits. More technically, the reals are complete (in the sense of metric spaces or uniform spaces, which is a different sense than the Dedekind completeness of the order in the previous section). This means the following: A sequence (xn) of real numbers is called a Cauchy sequence if for any ε > 0 there exists an integer N (possibly depending on ε) such t ...

See also:

Real number, Real number - History, Real number - Definition, Real number - Construction from the rational numbers, Real number - Axiomatic approach, Real number - Properties, Real number - Completeness, Real number - The complete ordered field, Real number - Advanced properties, Real number - Generalizations and extensions

Read more here: » Real number: Encyclopedia II - Real number - Properties

floating point: Encyclopedia II - Googol - The shrinking googol

Back when it was named in 1938, the googol was undeniably large. However, with the invention of fast computers and fast algorithms, computation with numbers the size of a googol has become routine. For example, even the difficult problem of prime factorization is now fairly accessible for 100 digit numbers. The largest number that can be represented by a typical pocket calculator for high school or scientific use is slightly less than a googol (e.g. 9.9999999 E+99, i.e. 9.99999991099, or 0.99999999 googol). However, some mo ...

See also:

Googol, Googol - Writing out a googol, Googol - Relation to -illion number names, Googol - The shrinking googol, Googol - Trivia, Googol - Googolplex

Read more here: » Googol: Encyclopedia II - Googol - The shrinking googol

floating point: Encyclopedia II - Motorola 68881 - Overview

The 68020 and 68030 CPUs were designed with the separate 68881 chip in mind. Their instruction sets reserved the "F-line" instructions — that is, all opcodes beginning with the hexadecimal digit "F" were "traps" which would throw an interrupt, handing control to the computer's operating system. If a 68881 were present in the system, the CPU would allow it to execute the instruction. If not, the OS would either call an FPU emulator to execute the instruction using 68020 integer-based software code, or ...

See also:

Motorola 68881, Motorola 68881 - Overview, Motorola 68881 - Selected statistics, Motorola 68881 - 68881, Motorola 68881 - 68882, Motorola 68881 - 68040

Read more here: » Motorola 68881: Encyclopedia II - Motorola 68881 - Overview

floating point: Encyclopedia II - GPGPU - GPGPU Programming Concepts

GPUs are designed specifically for graphics and thus are very restrictive in terms of operations and programming. Because of their nature GPUs are only effective at tackling problems that can be solved using Stream processing and the hardware can only be used in certain ways. GPGPU - Stream Processing. GPUs can only process independent vertices and fragments, but can process many of them in parallel. This is especially effective when the programmer wants to process many vertices or fragments in the same wa ...

See also:

GPGPU, GPGPU - GPU Improvements, GPGPU - Programmability, GPGPU - Data Types, GPGPU - GPGPU Programming Concepts, GPGPU - Stream Processing, GPGPU - GPU Programming Concepts, GPGPU - GPU Techniques, GPGPU - Applications

Read more here: » GPGPU: Encyclopedia II - GPGPU - GPGPU Programming Concepts

floating point: Encyclopedia II - Genetic algorithm - Operation of a GA

Two elements are required for any problem before a genetic algorithm can be used to search for a solution: First, there must be a method of representing a solution in a manner that can be manipulated by the algorithm. Traditionally, a solution can be represented by a string of bits, numbers or characters. Second, there must be some method of measuring the quality of any proposed solution, using a fitness function. For instance, if the problem involves fitting as many different weights as possible into a knapsack without ...

See also:

Genetic algorithm, Genetic algorithm - Operation of a GA, Genetic algorithm - Initialization, Genetic algorithm - Selection, Genetic algorithm - Reproduction, Genetic algorithm - Termination, Genetic algorithm - Pseudo-code algorithm, Genetic algorithm - Observations, Genetic algorithm - Variants, Genetic algorithm - Problem domains, Genetic algorithm - History, Genetic algorithm - Applications, Genetic algorithm - Related techniques, Genetic algorithm - Building block hypothesis

Read more here: » Genetic algorithm: Encyclopedia II - Genetic algorithm - Operation of a GA

floating point: Encyclopedia II - Radix sort - Recursion

A recursively subdividing radix sort algorithm works as follows: take the most significant digit of each key. sort the list of elements based on that digit, grouping elements with the same digit into one bucket. recursively sort each bucket, starting with the next most significant digit. concatenate the buckets together in order. This recursive method can be interpreted as a generalization of quicksort from strings with two possible symbols to strings with any number of possib ...

See also:

Radix sort, Radix sort - An example, Radix sort - Iterative version using queues, Radix sort - Recursion, Radix sort - A Recursive Forward Radix Sort Example, Radix sort - Efficiency, Radix sort - Sample implementations, Radix sort - C#, Radix sort - C++

Read more here: » Radix sort: Encyclopedia II - Radix sort - Recursion

floating point: Encyclopedia II - Rank linear algebra - Alternative definitions

The maximal number of linearly independent columns of the m-by-n matrix A with entries in the field F is equal to the dimension of the column space of A (the column space being the subspace of Fm generated by the columns of A). Alternatively and equivalently, we can define the rank of A as the dimension of the row space of A. If one considers the matrix A as a linear map f : Fn → Fm with the ...

See also:

Rank linear algebra, Rank linear algebra - Alternative definitions, Rank linear algebra - Properties, Rank linear algebra - Computation, Rank linear algebra - Generalization

Read more here: » Rank linear algebra: Encyclopedia II - Rank linear algebra - Alternative definitions

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