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Linear complexity algorithm for semiseparable matrices

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Abstract

A new linear complexity algorithm for general nonsingular semiseparable matrices is presented. For symmetric matrices whose semiseparability rank equals to 1 this algorithm leads to an explicit formula for the inverse matrix.

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Supported in part by the NSF Grant DMS 9306357

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Koltracht, I. Linear complexity algorithm for semiseparable matrices. Integr equ oper theory 29, 313–319 (1997). https://doi.org/10.1007/BF01320704

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  • DOI: https://doi.org/10.1007/BF01320704

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