Geodesic
Conjugate gradient algorithms for conic functions
Applications of Mathematics, Tome 31 (1986) no. 6, pp. 427-440

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The paper contains a description and an analysis of two modifications of the conjugate gradient method for unconstrained minimization which find a minimum of the conic function after a finite number of steps. Moreover, further extension of the conjugate gradient method is given which is based on a more general class of the model functions.
DOI : 10.21136/AM.1986.104222
Classification : 65K05, 65K10, 90C20, 90C30
Keywords: conjugate gradient method; unconstrained optimization; conic function; interpolations; algorithm 
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     author = {Luk\v{s}an, Ladislav},
     title = {Conjugate gradient algorithms for conic functions},
     journal = {Applications of Mathematics},
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Lukšan, Ladislav. Conjugate gradient algorithms for conic functions. Applications of Mathematics, Tome 31 (1986) no. 6, pp. 427-440. doi: 10.21136/AM.1986.104222

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