Floating Point Representation

This lecture covers the representation of numbers in fixed and floating point formats, discussing the challenges of exact representation in real-world scenarios. It explains the fixed-point representation domain, error quantification, and the importance of relative error. The lecture also delves into the floating-point representation, including the sign, exponent, and mantissa components. It addresses the representation of zero, rounding errors, and the consequences of rounding errors on mathematical operations.