Mantis - ALGLIB
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ID: | Category: | Severity: | Reproducibility: | Date Submitted: | Last Update: |
692 | Interpolation | feature | have not tried | 2017-04-18 16:58 | 2017-04-18 16:59 |
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Reporter: | SergeyB | Platform: | |||
Assigned To: | SergeyB | OS: | |||
Priority: | normal | OS Version: | |||
Status: | resolved | Product Version: | |||
Product Build: | Resolution: | implemented | |||
Projection: | none | ||||
ETA: | none | Fixed in Version: | 3.11.0 | ||
Programming language: | Unspecified | ||||
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Summary: | 0000692: IMPLEMENTED: fitting minimum circumscribed, minimum zone, maximum inscribed circles to N-dimensional data | ||||
Description: |
Implemented fitting minimum circumscribed (MCC), minimum zone (MZC), maximum inscribed (MIC) circles/spheres to N-dimensional data. Two algorithms are provided: * robust (although less efficient) NLC one, based on ALGLIB nonlinearly constrained solver. This algorithm shows good convergence properties. * fast inexact SLP (sequential linear programming) one, based on ALGLIB linearly constrained solver. NOTE: SLP approach to MCC/MZC/MIC is recommended by many authors; however, empirical testing demonstrated that linearization of the problem often breaks down near true solution (validated in MATLAB; it is deficiency of linearization, not solver used for such model). Thus, SLP solver often fails to converge to more than 3-5 digits of precision. However, it is 10-20 times faster than NLC, and on some problems it works good enough. That's why we included it as non-standard option. |
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Issue History | |||||
Date Modified | Username | Field | Change | ||
2017-04-18 16:58 | SergeyB | New Issue | |||
2017-04-18 16:58 | SergeyB | Status | new => assigned | ||
2017-04-18 16:58 | SergeyB | Assigned To | => SergeyB | ||
2017-04-18 16:58 | SergeyB | Programming language | => Unspecified | ||
2017-04-18 16:59 | SergeyB | Status | assigned => resolved | ||
2017-04-18 16:59 | SergeyB | Fixed in Version | => 3.11.0 | ||
2017-04-18 16:59 | SergeyB | Resolution | open => implemented |
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