Stopping rules for steepest ascent in experimental optimization

Communications in Statistics Part B: Simulation and Computation

Volumn 26, Issue 4, 1997, Pages 1599-1615

  Del Castillo, Enrique ^a  

^a UNIVERSITY OF TEXAS AT ARLINGTON   (United States)

Author keywords

Line search; Recursive estimation; Response surface methodology

Indexed keywords

COMPUTER SIMULATION; ITERATIVE METHODS; RECURSIVE FUNCTIONS;

LINE SEARCH; RESPONSE SURFACE METHODOLOGY (RSM); STEEPEST ASCENT;

OPTIMIZATION;

EID: 0031269330     PISSN: 03610918     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

1. Astrom, K.J. and B. Wittenmark (1989). Adaptive Control. Reading Massachusetts, Addison Wesley.
2. Box, G.E.P. and Draper, N.R. (1987). Empirical Model-Building and Response Surfaces. NY: John Wiley & Sons.
3. Box, G.E.P. and Wilson, K.B. (1951). "On the Experimental Attainment of Optimum Conditions," Journal of the Royal Statistical Society, B13, 1-38.
4. Khuri, A.I., and Cornell, J.A., (1987) Response Surfaces, Marcel Dekker, New York, NY.
5. Ljung, L. and T. Soderstrom (1987). Theory and Practice of Recursive Identification, Cambridge, Mass., The MIT Press.
6. Myers, R.H., and Khuri, A.I., (1979). "A New Procedure for Steepest Ascent," Communications in Statistics, Theory and Methods, A8(14), 1359-1376.
7. Myers, R.H., and Montgomery, D.C., (1995). Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Wiley, NY.