Mathematical Proceedings of the Cambridge Philosophical Society · 1978 · 53 citations · 9 references
ComputingFinanceDerivativesSpectroscopyVibrationMatrix ComputationMatrix StructureSpectral AnalysisSpectral TheoryMatrix NormsSpectral RadiusSpectral Radius Analysis
Let A = (a ij ) be a non-negative n × n matrix, that is, a ij ≥ 0, i, j = 1, …, n ; n > 1. We write A ≥ 0. Let r = r ( A ) be the spectral radius of A ; assume r > 0 throughout to avoid trivial cases. Let be the m th derivative of r with respect to the element a ij , all other elements of A being held constant.
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ON THE USE OF MATRICES IN CERTAIN POPULATION MATHEMATICS
Paula Leslie · Biometrika · 1945 · 2.7K citations
Computational Methods of Linear Algebra
A. S. H., D. K. Faddeev, V. N. Faddeeva · Mathematics of Computation · 1964 · 1.6K citations
Computational Methods of Linear Algebra.
D. J. Lewis, D. K. Faddeev, V. N. Faddeeva et al. · American Mathematical Monthly · 1966 · 261 citations