Conversion of unsigned 32-bit random integers to double precision floating point is discussed. It is shown that the standard practice can be unnecessarily slow and inflexible. It is argued that simulation experiments could benefit from making better use of the available precision
International audienceThe most well-known feature of floating-point arithmetic is the limited precis...
We present algorithms for performing the five elementary arithmetic operations (+, -, ×, ÷, and √) i...
For many scientific calculations, particularly those involving empirical data, IEEE 32-bit floating-...
A method widely used to obtain IEEE 754 binary floating-point numbers with a standard uniform distri...
At the present time, IEEE 64-bit floating-point arithmetic is sufficiently accurate for most scient...
For scientific computations on a digital computer the set of real numbers is usually approximated by...
Digital computation is central to almost all scientific endeavor and has become integral to universi...
The half precision (fp16) floating-point format, defined in the 2008 revision of the IEEE standard f...
Floating-point numbers have an intuitive meaning when it comes to physics-based numerical computatio...
We present algorithms for accurately converting floating-point numbers to decimal representation. Th...
International audienceAlthough double precision is usually enough, arbitrary precision increases acc...
International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Conventi...
Abstract. Most mathematical formulae are defined in terms of operations on real numbers, but compute...
International audienceDrawing a floating-point number uniformly at random from an interval [a, b) is...
Abstract—For many scientific calculations, particularly those involving empirical data, IEEE 32-bit ...
International audienceThe most well-known feature of floating-point arithmetic is the limited precis...
We present algorithms for performing the five elementary arithmetic operations (+, -, ×, ÷, and √) i...
For many scientific calculations, particularly those involving empirical data, IEEE 32-bit floating-...
A method widely used to obtain IEEE 754 binary floating-point numbers with a standard uniform distri...
At the present time, IEEE 64-bit floating-point arithmetic is sufficiently accurate for most scient...
For scientific computations on a digital computer the set of real numbers is usually approximated by...
Digital computation is central to almost all scientific endeavor and has become integral to universi...
The half precision (fp16) floating-point format, defined in the 2008 revision of the IEEE standard f...
Floating-point numbers have an intuitive meaning when it comes to physics-based numerical computatio...
We present algorithms for accurately converting floating-point numbers to decimal representation. Th...
International audienceAlthough double precision is usually enough, arbitrary precision increases acc...
International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Conventi...
Abstract. Most mathematical formulae are defined in terms of operations on real numbers, but compute...
International audienceDrawing a floating-point number uniformly at random from an interval [a, b) is...
Abstract—For many scientific calculations, particularly those involving empirical data, IEEE 32-bit ...
International audienceThe most well-known feature of floating-point arithmetic is the limited precis...
We present algorithms for performing the five elementary arithmetic operations (+, -, ×, ÷, and √) i...
For many scientific calculations, particularly those involving empirical data, IEEE 32-bit floating-...