Unconstrained Minimization by Interpolation: Rates of Convergence.
TEXAS UNIV AT AUSTIN CENTER FOR CYBERNETIC STUDIES
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We analyze the rate of convergence of a class of algorithms based on n-dimensional interpolation. In particular, we present a class of algorithms which use first order information only, while maintaining quadratic convergence. Author
- Theoretical Mathematics