This repository presents the MATLAB plotting approach for performing Sensitivity Analysis (SA) for student competitions. It is used here specifically to evaluate score sensitivity. It helps teams ...

This paper, based upon the application of algebraic concept for the analysis and synthesis of linear dynamical systems, presents an analytical procedure for the sensitivity analysis of linear ...

Sensitivity analysis could be performed on these points along with different types of models and how they are trained, to determine how the optimal process family is changed.

We propose that the sensitivity analysis should become a standard component of photodynamics simulations where a diverse portfolio of electronic structure methods is employed. While the use of an ...

This work has presented the “nth-Order Feature Adjoint Sensitivity Analysis Methodology for Response-Coupled Forward/Adjoint Linear Systems” (abbreviated as “nth-FASAM-L”), which is the most efficient ...

This paper proposes an estimation of particle swarm distribution algorithm (EPSDA) to solve the nonlinear bilevel programming problem (NBLP) by embedding the estimation distribution algorithm (EDA) ...

Saddle point algorithm is a new fast iterative method for linear programming, the program based on this algorithm has been widely used in many fields and shows better performance than other public ...

A sensitivity analysis can determine whether a project is worth the risk involved, especially if the project does not go according to plan. A project may be proposed with an estimated budget, ...

Add a Sensitivity Analysis (SA) function. I believe scikit-learn, and the wider scientific community, would greatly benefit to have such tool. I believe scikit-learn has something related with feature ...