Calculating derivatives in statistical tolerance analysis

CAD Computer Aided Design

Volumn 30, Issue 5, 1998, Pages 367-375

  Skowronski, Victor J ^a,b,c,d,e,f  

^a TASC   (United States)

^b TASC Inc   (United States)

^c RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^d Knolls Atomic Power Laboratory   (United States)

^e STEVENS INSTITUTE OF TECHNOLOGY   (United States)

^f Tau Beta Pi   (United States)

Author keywords

Derivative estimation; Monte Carlo analysis; Sample reuse; Tolerance analysis

Indexed keywords

COMPUTATIONAL METHODS; FINITE DIFFERENCE METHOD; FITS AND TOLERANCES; MONTE CARLO METHODS;

STATISTICAL TOLERANCE ANALYSIS;

COMPUTER AIDED DESIGN;

EID: 0032049267     PISSN: 00104485     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0010-4485(97)00100-0     Document Type: Article

References (7)

1. Skowonski, V.J. and Turner, J.U., Using Monte Carlo variance reduction in statistical tolerance synthesis. Computer-Aided Design, 1997, 29(1), 63-69.
2. Nigam, S. and Turner, J., A review of statistical approaches to tolerance analysis. Computer-Aided Design, 1995, 27(1), 6-15.
3. Rensselaer Design Research Center, Technical report no. TR 92021. Troy, New York, 1992
4. Kalos, M. and Whitlock, P., Monte Carlo Methods, Volume I: Basics. Wiley, New York, 1986.
5. Hamrnersley, J. and Handscomb, D., Monte Carlo Methods. Wiley, New York, 1964.
6. Lee, J. and Johnson, G., Optimal tolerance allotment using a genetic algorithm and truncated Monte Carlo simulation. Computer-Aided Design, 1993, 25(9), 601-611.
7. Skowronski, V.J. and Turner, J.U., Estimating gradients for statistical tolerance synthesis. Computer-Aided Design, 1996, 28(12), 933-941.