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1994 | OriginalPaper | Buchkapitel

Conjugate Gradient Methods

verfasst von : Wolfgang Hackbusch

Erschienen in: Iterative Solution of Large Sparse Systems of Equations

Verlag: Springer New York

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In the following, A ∈ ℝI x I and b ∈ ℝI are real. We consider a system 9.1.1$$ Ax\, = \,b $$ and assume that 9.1.2$$ A\,is\,positive\,definite. $$ System (1) is associated with the function 9.1.3$$ F\left( x \right): = \,\frac{1}{2}\left\langle {Ax,\,x} \right\rangle \, - \,\left\langle {b,\,x} \right\rangle . $$ The derivative (gradient) of F is $$ F'\left( x \right): = \,\frac{1}{2}\left( {A\, + \,{A^T}} \right)x\, - \,b $$. Since A = AT by assumption (2), the derivative equals 9.1.4$$ F{\text{'}}'\left( x \right)\, = \,grad\,F\left( x \right)\, = \,Ax\, - \,b. $$

Metadaten
Titel
Conjugate Gradient Methods
verfasst von
Wolfgang Hackbusch
Copyright-Jahr
1994
Verlag
Springer New York
DOI
https://doi.org/10.1007/978-1-4612-4288-8_9