scholarly journals Information‐anchored sensitivity analysis: theory and application

2018 ◽  
Vol 182 (2) ◽  
pp. 623-645 ◽  
Author(s):  
Suzie Cro ◽  
James R. Carpenter ◽  
Michael G. Kenward
Keyword(s):  
Sensitivity Analysis ◽  
Analysis Theory

scholarly journals VARIATIONAL SENSITIVITY ANALYSIS — THEORY AND APPLICATION

1975 ◽  
pp. 568-577 ◽  
Author(s):  
H. Henryson ◽  
H.H. Hummel ◽  
R.N. Hwang ◽  
W.M. Stacey ◽  
B.J. Toppel
Keyword(s):  
Sensitivity Analysis ◽  
Analysis Theory

Implementation of Design Sensitivity Analysis with Existing Finite Element Codes

1987 ◽  
Vol 109 (3) ◽  
pp. 385-391 ◽  
Author(s):  
K. K. Choi ◽  
J. L. T. Santos ◽  
M. C. Frederick
Keyword(s):  
Sensitivity Analysis ◽  
Finite Element ◽  
Design Sensitivity ◽  
Design Sensitivity Analysis ◽  
Cross Sectional ◽  
Design Variables ◽  
Accurate Design ◽  
Analysis Theory ◽  
Problem Design ◽  
Selection Of

A numerical method is presented to implement structural design sensitivity analysis theory, using the versatility and convenience of existing finite element structural analysis programs. Design variables such as thickness and cross-sectional areas of components of individual members and built-up structures are considered. Structural performance functionals considered include displacement and stress. The method is also applicable for eigenvalue problem design sensitivity analysis. It is shown that calculations can be carried out outside existing finite element codes, using postprocessing data only. Thus design sensitivity analysis software does not have to be imbedded in an existing finite element code. Feasibility of the method is shown through analysis of several problems, including a built-up structure. Accurate design sensitivity results are obtained without the uncertainty of numerical accuracy associated with selection of finite difference perturbations.

scholarly journals Approximate solution algorithm for multi-parametric non-convex programming problems with polyhedral constraints

2014 ◽  
Vol 4 (2) ◽  
pp. 89-98 ◽  
Author(s):  
Abay Molla Kassa ◽  
Semu Mitiku Kassa
Keyword(s):  
Sensitivity Analysis ◽  
Approximate Solution ◽  
Convex Programming ◽  
Software Package ◽  
Convex Relaxation ◽  
Solution Algorithm ◽  
Matlab Software ◽  
Algorithmic Approach ◽  
Decision Variables ◽  
Analysis Theory

In this paper, we developed a novel algorithmic approach for thesolution of multi-parametric non-convex programming problems withcontinuous decision variables. The basic idea of the proposedapproach is based on successive convex relaxation of each non-convexterms and sensitivity analysis theory. The proposed algorithm isimplemented using MATLAB software package and numericalexamples are presented to illustrate the effectiveness andapplicability of the proposed method on multi-parametric non-convexprogramming problems with polyhedral constraints.

Shapley Effects for Global Sensitivity Analysis: Theory and Computation

2016 ◽  
Vol 4 (1) ◽  
pp. 1060-1083 ◽  
Author(s):  
Eunhye Song ◽  
Barry L. Nelson ◽  
Jeremy Staum
Keyword(s):  
Sensitivity Analysis ◽  
Global Sensitivity Analysis ◽  
Global Sensitivity ◽  
Analysis Theory
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