in Objective-C, value of type double/float can only be NAN, INFINITY, & normal number?
I knew double or float value can be not only normal value(-1.3, 0, 1.0, 2.3) but also NAN and INFINITY in Objective-C.
Dummy float values to force floating-point operations
It is common to use idioms such as:
How do you get the ULP a number with a maximum mantissa value?
The way I understand ULP is that it is the gap between two consecutive floating point numbers. The book I’m reading says that ULP = machine epsilon times two to the exponent. This seems correct to me only if the two numbers have the same exponent.
Performance and other issues with using floating point types in C++
Being interested in C++ performance programming there is one aspect I really have no clue about- and that is the implications of using floating point calculations vs doubles vs normal integer mathematics?
Is (1/(1/x)) always a perfect round trip?
Is the following guaranteed to return true for all numerical and non-zero values of x?
Implementing base-10 floating point division
I’m implementing floating-point arithmetic, for a micro-controller which does not support floating point numbers, in either hardware or software.
(Software being “written” in a sort of electrical diagram program.)
I’ve finished encoding/decoding from/to integers, adding, subtracting, and multiplication.
My “floats” are represented as C * 10^E, where:
Solutions for floating point rounding errors
In building an application that deals with a lot of mathematical calculations, I have encountered the problem that certain numbers cause rounding errors.
Solutions for floating point rounding errors
In building an application that deals with a lot of mathematical calculations, I have encountered the problem that certain numbers cause rounding errors.
Addition of double’s is NOT Equal to Sum of the double as a whole
I am aware of the floating point errors as I had gained some knowledge with my question asked here in SE Floating Point Errors.
Addition of double’s is NOT Equal to Sum of the double as a whole
I am aware of the floating point errors as I had gained some knowledge with my question asked here in SE Floating Point Errors.