Feature/visualize wc #129
Feature/visualize wc #129
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| G_value (ndarray): the value of the Gram matrix G that the solver found. | ||
| F_value (ndarray): the value of the vector of :class:`Expression`s F that the solver found. | ||
| trim_dim (bool): trims the apperent useless dimensions of the found worst-case function |
| # leading to different dual values. The ones we store here provide the proof of the obtained guarantee. | ||
| self.residual = wrapper.assign_dual_values() | ||
| G_value, F_value = wrapper.get_primal_variables() | ||
| nb_eigenvalues = G_value.shape[0] |
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I do not understand what this variable should contain. Given the attribute it is later stored in, I thought nb_eigenvalues should contain the rank of G_value (excluding the null eigenvalues). Did I miss something?
| else: | ||
| toggled_dimensions = Point.counter | ||
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| return self.eval()[:toggled_dimensions] |
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Since toggled_dimensions can be handily fixed, this can modify the inner product values. Shall we consider that the user is responsible for doing the right thing? Or should we enforce toggled_dimensions to be automatically fixed?
| """ | ||
| def __init__(self, list_of_triplets, mu, L, d, options='lowest'): | ||
| self.x_list, self.g_list, self.f_list = list_of_triplets |
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Is it a list of triplets? Or a triplet of list that you are manipulating here?
| import cvxpy as cp | ||
| import numpy as np | ||
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| class Interpolator(object): |
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Maybe a more specific name would be appropriate, given the covered classes.
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