本文整理汇总了Python中MatrixUtil.assert_positive方法的典型用法代码示例。如果您正苦于以下问题：Python MatrixUtil.assert_positive方法的具体用法？Python MatrixUtil.assert_positive怎么用？Python MatrixUtil.assert_positive使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类MatrixUtil的用法示例。
在下文中一共展示了MatrixUtil.assert_positive方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: harmonic_extension
# 需要导入模块: import MatrixUtil [as 别名]
# 或者: from MatrixUtil import assert_positive [as 别名]
def harmonic_extension(A, tip_valuations):
"""
This extension uses the 'Laplacian matrix' and the 'accompanying matrix'.
@param A: weighted undirected adjacency matrix with tips first
@param valuations: valuations associated with the first part of A
@return: extension of valuations to the remaining vertices
"""
MatrixUtil.assert_symmetric(A)
MatrixUtil.assert_nonnegative(A)
MatrixUtil.assert_hollow(A)
nverts = A.shape[0]
ntips = tip_valuations.shape[0]
narts = nverts - ntips
L = np.diag(np.sum(A, axis=1)) - A
acc = -np.dot(L[:ntips, -narts:], scipy.linalg.inv(L[-narts:, -narts:]))
if acc.shape != (ntips, narts):
raise Exception('unexpected shape of accompanying matrix')
MatrixUtil.assert_positive(acc)
return np.dot(tip_valuations, acc)