Lectures related to Floating Point Representation: Consequences for Programming

Covers derivation, integration, and simulation in Matlab, along with the representation of numbers and potential errors.

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

Explores floating point numbers, LU decomposition, errors in numerical computations, and the impact of round-off errors.

Explores the representation of numbers using extended floating point notation.

Explores the effect of rounding errors in solving linear systems using the LU factorization method.

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