Core-Chasing Algorithms for the Eigenvalue Problem Kenton Rambsy Rationale to Adopt: USPs A

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The contributions challenge ways of understanding learning and thinking about practice

Core-Chasing Algorithms for the Eigenvalue Problem Kenton Rambsy Rationale to Adopt: USPs AEigenvalue computations are ubiquitous in science and engineering. John Francis's implicitly shifted QR algorithm has been the method of choice for small to medium sized eigenvalue problems since its invention in 1959. This book presents a new view of this classical algorithm. While Francis's original procedure chases bulges, the new version chases core transformations, which allows the development of fast algorithms for eigenvalue problems with a