Numpy 1.10
Numpy 1.10
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numpy.linalg.tensorsolve()

numpy.linalg.tensorsolve

numpy.linalg.tensorsolve(a, b, axes=None) [source]

Solve the tensor equation a x = b for x.

It is assumed that all indices of x are summed over in the product, together with the rightmost indices of a, as is done in, for example, tensordot(a, x, axes=len(b.shape)).

Parameters:

a : array_like

Coefficient tensor, of shape b.shape + Q. Q登录查看完整内容