Lectures related to Digital Systems: Fixed-Point and Floating-Point Arithmetic

Covers the representation of floating point numbers and the importance of uniform relative error.

Covers classic pen-and-paper methods for arithmetic operations and binary representations of numbers.

Explores floating point numbers, LU decomposition, errors, and matrix properties.

Explores the representation of numbers using extended floating point notation.

Explores the representation of floating point numbers and the importance of error analysis.