This work explores the relationship between condition numbers and the distance to the nearest ill-posed problem. It provides a rigorous mathematical analysis of condition numbers, particularly in the context of numerical stability and error analysis. The study focuses on understanding how sensitive a problem is to small changes in its input data and investigates the proximity to problems for which solutions are undefined or highly unstable.
Intended for researchers and graduate students in mathematics, computer science, and engineering, "On Condition Numbers and the Distance to the Nearest Ill-posed Problem" offers valuable insights into the theoretical foundations of numerical computation and its practical implications. The concepts discussed are crucial for designing robust numerical algorithms and assessing the reliability of computational results.
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