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This knowledge can then be employed to advance our understanding of basic biological principles, thus building a more robust toolbox to apply to human problems.
The most important of them is a comprehensive and robust toolbox to handle crystal symmetries (sgtbx) that supports every space group in any setting, even rather unusual settings such as tripled cells.
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Pernet, C. R., Wilcox, R. & Rousselet, G. A. Robust correlation analyses: false positive and power validation using a new open source matlab toolbox.
Taken together, these approaches provide neuroscientists with a robust statistical toolbox containing elements that alleviate some of the analytical constraints generated by limited sample sizes, repeated subject use, and incomplete replicates of experimental manipulation.
With the help of fuzzy approximation method, the minimax matching control problem of immune systems could be easily solved by the proposed fuzzy dynamic game method via the linear matrix inequality (LMI) technique with the help of Robust Control Toolbox in Matlab.
The circuit parameters and the tuned weight function parameters can be found in Appendix A. The H∞ controllers were synthesized with the robust control toolbox included in MATLAB.
A robust PID controller design toolbox for Matlab is presented in this paper.
The Statistics Toolbox function robust fit is useful in these cases.
This paper demonstrates on several examples how the Polynomial Toolbox solves various robust control problems for plants with parametric uncertainties.
ooDACE toolbox offers a robust, flexible and easily extendable framework where various Kriging variants are implemented in an object-oriented fashion under a single platform.
The toolbox combines classical robust multiobjective design techniques with the recently developed randomized approach, providing to the user a wide range of tools for performing deterministic and probabilistic analysis and design.
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