Issues with STL; DFAM

Related lectures (22)

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Explores the consequences of floating-point representation errors in programming, emphasizing precision and computational costs.

Covers numerical differentiation, forward differences, Taylor's expansion, Big O notation, and error minimization.

Introduces floating point number representation, round-off errors, and their impact on numerical computations.

Discusses numerical derivatives of order 1 and the effects of rounding errors on calculations.

Provides an overview of fixed-point and floating-point arithmetic in digital systems.

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

Covers the representation of real numbers in a computer using floating point representation and the dangers of significant digit cancellation.

Discusses the representation of real numbers in various bases and the implications of floating-point arithmetic.

Explores floating point numbers, their representation, precision, and associated errors.

Analyzes the error in numerical derivatives using finite difference formulas.