math with more good bits
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Updated
May 3, 2024 - Julia
math with more good bits
Julia math built-ins which return NaN and accumulator functions which ignore NaN
Julia IEEE decimal floating-point via the Intel decimal-float library
extended precision math, accurate and performant
macro to change the default floating-point precision in Julia code
Julia library providing tracking of floating point errors through a program resources
An accurate and stable calculation of the angle separating two vectors.
Floats with neither Infinities nor NaNs nor signed zeros.
Numbers that produce accurate results when used as arguments to trigonometric functions
A Julia package to manipulate very small IEEE 754 standard-compliant floating-point numbers.
building blocks for more accurate floating point results
This is new edited version of the known SigmoidNumbers
Manipulate sign, exponent, significand of Float64, Float32, Float16 values.
Precision-doubled floating point types nearly as performant as hardware floats.
Floating Point Arithmetic Standard IEEE 754-2019
Toolkit for studying numerical analysis and floating point algebra round-off
Float32 results are computed using Float64s
Values of the initial and final bits of a significand, in absolute and relative units.
Floats that are markable, unmarkable and remarkable
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