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1. Floating point: This course serves as an introduction to floating point arithmetic, and is for those who desire to learn about floating point representation and errors that can propagate due to a problem in floating point operations. Unlike other pages regarding floating ... [100%] 2023-04-13 [Floating point]
2. Floating point error mitigation: Floating-point error arises because real numbers cannot, in general, be accurately represented in a fixed space. By definition, floating-point error cannot be eliminated, and, at best, can only be managed. [70%] 2023-04-26 [Floating point] [Computer arithmetic]...
3. Floating Point: Floating Point is an album by John McLaughlin, released in 2008 through the record label Abstract Logix. The album reached number fourteen on Billboard's Top Jazz Albums chart. [100%] 2023-05-26 [2008 albums] [John McLaughlin (musician) albums]...
4. Floating-point: Floating-point is a method in computing to represent an arbitrary real number in a fixed amount of bits. The data type for floating-point numbers is typically named either generically (float, real, etc.), or after the precision of the ... [100%] 2023-03-25 [Computer Science]
5. Point (decimal point, floating point): A term pertaining to the representation of a real number by a fraction, and to the way real numbers are represented in digital computers. Consider a number system with radix (base) $q$, in which the representation of a real number ... (Mathematics) [83%] 2023-10-17
6. Block floating point: Block floating point (BFP) is a method used to provide an arithmetic approaching floating point while using a fixed-point processor. BFP assigns a group of significands (the non-exponent part of the floating-point number) to a single exponent ... [81%] 2022-09-01 [Floating point] [Computer arithmetic]...
7. Decimal floating point: Decimal floating-point (DFP) arithmetic refers to both a representation and operations on decimal floating-point numbers. Working directly with decimal (base-10) fractions can avoid the rounding errors that otherwise typically occur when converting between decimal fractions (common in ... (Decimal representation of real numbers in computing) [81%] 2022-08-25 [Computer arithmetic] [Floating point]...
8. Floating-point arithmetic: In computing, floating-point arithmetic (FP) is arithmetic using formulaic representation of real numbers as an approximation to support a trade-off between range and precision. For this reason, floating-point computation is often used in systems with very small ... (Computer approximation for real numbers) [81%] 2022-08-11 [Floating point] [Computer arithmetic]...
9. Floating-point arithmetic: In computing, floating-point arithmetic (FP) is arithmetic using formulaic representation of real numbers as an approximation to support a trade-off between range and precision. For this reason, floating-point computation is often used in systems with very small ... (Computer approximation for real numbers) [81%] 2022-08-25 [Floating point] [Computer arithmetic]...
10. Floating-point unit: A floating-point unit (FPU, colloquially a math coprocessor) is a part of a computer system specially designed to carry out operations on floating-point numbers. Typical operations are addition, subtraction, multiplication, division, and square root. (Part of a computer system) [81%] 2024-02-10 [Central processing unit] [Computer arithmetic]...
11. Floating Point Systems: Floating Point Systems, Inc. (FPS), was a Beaverton, Oregon vendor of attached array processors and minisupercomputers. (Company) [81%] 2024-01-01 [Defunct computer hardware companies] [Floating point]...
12. Floating-point unit: A floating-point unit (FPU, colloquially a math coprocessor) is a part of a computer system specially designed to carry out operations on floating-point numbers. Typical operations are addition, subtraction, multiplication, division, and square root. (Part of a computer system) [81%] 2024-05-03 [Central processing unit] [Computer arithmetic]...
13. Hexadecimal floating point: Hexadecimal floating point may refer to. [81%] 2024-08-27 [Floating point]
14. Bfloat16 floating-point format: The bfloat16 (Brain Floating Point) floating-point format is a computer number format occupying 16 bits in computer memory; it represents a wide dynamic range of numeric values by using a floating radix point. This format is a truncated (16 ... (Floating-point number format used in computer processors) [70%] 2023-05-14 [Binary arithmetic] [Floating point types]...
15. Decimal128 floating-point format: In computing, decimal128 is a decimal floating-point computer numbering format that occupies 16 bytes (128 bits) in computer memory. It is intended for applications where it is necessary to emulate decimal rounding exactly, such as financial and tax computations. [70%] 2023-04-21 [Floating point types]
16. Bfloat16 floating-point format: The bfloat16 (Brain Floating Point) floating-point format is a computer number format occupying 16 bits in computer memory; it represents a wide dynamic range of numeric values by using a floating radix point. This format is a truncated (16 ... (Floating-point number format used in computer processors) [70%] 2022-11-24 [Binary arithmetic] [Floating point types]...
17. Decimal32 floating-point format: In computing, decimal32 is a decimal floating-point computer numbering format that occupies 4 bytes (32 bits) in computer memory. It is intended for applications where it is necessary to emulate decimal rounding exactly, such as financial and tax computations. [70%] 2022-11-19 [Computer arithmetic] [Data types]...
18. IBM hexadecimal floating point: IBM System/360 computers, and subsequent machines based on that architecture (mainframes), support a hexadecimal floating-point format (HFP). In comparison to IEEE 754 floating-point, the IBM floating-point format has a longer significand, and a shorter exponent. (Number representation) [70%] 2024-08-27 [Computer arithmetic] [Floating point]...
19. Decimal128 floating-point format: decimal128 is a decimal floating-point computer number format that occupies 128 bits in computer memory. Formally introduced in IEEE 754-2008, it is intended for applications where it is necessary to emulate decimal rounding exactly, such as financial and ... (128-bit computer number format) [70%] 2024-08-12 [Floating point types]
20. Octuple-precision floating-point format: In computing, octuple precision is a binary floating-point-based computer number format that occupies 32 bytes (256 bits) in computer memory. This 256-bit octuple precision is for applications requiring results in higher than quadruple precision. (256-bit computer number format) [63%] 2023-02-10 [Binary arithmetic] [Floating point types]...
21. Single-precision floating-point format: Single-precision floating-point format (sometimes called FP32 or float32) is a computer number format, usually occupying 32 bits in computer memory; it represents a wide dynamic range of numeric values by using a floating radix point. A floating-point ... (32-bit computer number format) [63%] 2022-12-09 [Binary arithmetic] [Computer arithmetic]...
22. Quadruple-precision floating-point format: In computing, quadruple precision (or quad precision) is a binary floating-point–based computer number format that occupies 16 bytes (128 bits) with precision at least twice the 53-bit double precision. This 128-bit quadruple precision is designed not ... (128-bit computer number format) [63%] 2024-05-28 [Binary arithmetic] [Floating point types]...