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Computes the N-dimension circumcenter of N + 1 points (the S array) and their N + 1 radiis (the R array)
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| import numpy | |
| def get_power_circumcenter(S, R): | |
| R_sqr = R ** 2 | |
| Sp = S[1:] - S[0] | |
| Sp_norm_sqr = numpy.sum(Sp ** 2, axis = 1) | |
| U = ((Sp_norm_sqr + R_sqr[0] - R_sqr[1:]) / (2 * Sp_norm_sqr))[:, None] * Sp + S[0] | |
| return numpy.linalg.solve(Sp, numpy.sum(U * Sp, axis = 1)) |
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