A comprehensive look at Computable General Equilibrium Models, which are used to analyze the economy-wide effects of policy changes by solving all equations analytically or numerically.
An in-depth exploration of the condition number, a measure of how the output value of a function changes for a small change in the input argument. Understanding its importance in numerical analysis and various applications.
An in-depth exploration of ill-conditioned problems, characterized by high condition numbers, their historical context, implications, and practical examples.
Numerical stability is a property of an algorithm which indicates how error terms are propagated by the algorithm. It ensures that computational results remain reliable in the presence of small perturbations or rounding errors.
Underflow occurs when a calculated number is smaller than the smallest representable positive number in a given computing system, resulting in a loss of precision or storage capacity.
