Floating-point arithmetic provides a practical means of representing real numbers on digital computers by encoding them in a finite number of bits for sign, exponent and significand. The IEEE-754 ...

[Editor's note: For an intro to fixed-point math, see Fixed-Point DSP and Algorithm Implementation. For a comparison of fixed- and floating-point hardware, see Fixed vs. floating point: a surprisingly ...

On February 25, 1991, during the eve of the of an Iraqi invasion of Saudi Arabia, a Scud missile fired from Iraqi positions hit a US Army barracks in Dhahran, Saudi Arabia. A defense was available – ...

Explaining the principles of algorithms used in arithmetic operations on digital computers, this book covers basic as well as complex operations and describes the similarities between different ...

Routines for the PIC16/17 families are provided in a modified IEEE 754 32-bit format together with versions in 24-bit reduced format. Although fixed point arithmetic can usually be employed in many ...

Arithmetic is the forgotten task. We just expect machines to evaluate whatever expression we write and we expect it to get it right – or right enough not to cause a problem. Part of the reason for ...

This macro-enabled spreadsheet is designed to practice adding and subtracting Floating Point Binary numbers as used in Computing. There are two worksheets, one with addition, and one with subtraction.

Most AI chips and hardware accelerators that power machine learning (ML) and deep learning (DL) applications include floating-point units (FPUs). Algorithms used in neural networks today are often ...

An unfortunate reality of trying to represent continuous real numbers in a fixed space (e.g. with a limited number of bits) is that this comes with an inevitable loss of both precision and accuracy.

This macro-enabled spreadsheet is designed to practice adding and subtracting Floating Point Binary numbers as used in Computing. There are two worksheets, one with addition, and one with subtraction.