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Recursions and Their Stability

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Nonlinear System Dynamics

Abstract

Recursion formulae are algorithms in which an initial value is used to produce a new value, which in turn is inserted into the algorithm to produce again a new value, the process being repeated as many times as is desired. Jacobi’s iteration is just such a recursion, whose algorithm is the basis for solving a set of linear algebraic equations. We consider the simplest case of two such equations in two unknowns,

$$\begin{array}{*{20}{c}} {{{a}_{{11}}} \cdot {{x}_{1}} + {{a}_{{12}}} + {{x}_{2}} = {{b}_{1}}} \\ {{{a}_{{21}}} \cdot {{x}_{1}} + {{a}_{{22}}} \cdot {{x}_{2}} = {{b}_{2}}} \\ \end{array}$$

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© 1992 Van Nostrand Reinhold

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Kolk, W.R., Lerman, R.A. (1992). Recursions and Their Stability. In: Nonlinear System Dynamics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-6494-8_8

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  • DOI: https://doi.org/10.1007/978-1-4684-6494-8_8

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-6496-2

  • Online ISBN: 978-1-4684-6494-8

  • eBook Packages: Springer Book Archive

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