Originally reported byLuca Geretti (Bitbucket: lgeretti, GitHub: lgeretti)
To account for situations where a variable is defined in a space, we have to be able to analyze its behavior in such space. Being the space continuous, there would be R^n variables involved. Instead, we may work on intervals by splitting the space. Additionally, the number of variables may be adaptive, by updating only those that have a "fast" evolution; this solution could restrict the usability of the variable though.
Original comment byLuca Geretti (Bitbucket: lgeretti, GitHub: lgeretti)
Considering the results obtained from the laser case study, interval analysis would require very strong quality of convergence. This is held until a better error control is available.
Originally reported by Luca Geretti (Bitbucket: lgeretti, GitHub: lgeretti)
To account for situations where a variable is defined in a space, we have to be able to analyze its behavior in such space. Being the space continuous, there would be R^n variables involved. Instead, we may work on intervals by splitting the space. Additionally, the number of variables may be adaptive, by updating only those that have a "fast" evolution; this solution could restrict the usability of the variable though.