Floating-point arithmetic: Difference between revisions

Content deleted Content added
Incidents: Though the issue did not come from floating point, it is still due to the careless use of approximations: if they had use an exact arithmetic (thus not needing to approximate 0.1) or wrote their code based on an error analysis, this would not have happened.
Expand section on FPU; add softfloat+hardfloat
Line 37:
The speed of floating-point operations, commonly measured in terms of [[FLOPS]], is an important characteristic of a [[computer system]], especially for applications that involve intensive mathematical calculations.
 
AFloating-point numbers can be computed using software implementations (softfloat) or hardware implementations (hardfloat). [[floating-point unit|Floating-point units]] (FPUFPUs, colloquially a math [[coprocessor|coprocessors]]) is a part of a computer systemare specially designed to carry out operations on floating-point numbers and are part of most computer systems. When FPUs are not available, software implementations can be used instead.
 
== Overview ==