本文整理汇总了Python中pycast.common.matrix.Matrix.householder方法的典型用法代码示例。如果您正苦于以下问题：Python Matrix.householder方法的具体用法？Python Matrix.householder怎么用？Python Matrix.householder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pycast.common.matrix.Matrix的用法示例。
在下文中一共展示了Matrix.householder方法的2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: householder_test
# 需要导入模块: from pycast.common.matrix import Matrix [as 别名]
# 或者: from pycast.common.matrix.Matrix import householder [as 别名]
def householder_test(self):
"""Test the householder transformation to get a matrix in bidiagonalization."""
# set up test
c = [
[4, 3, 0],
[2, 1, 2],
[4, 4, 0]
]
matrix = Matrix(3, 3)
matrix.initialize(c, rowBased=True)
# execute householder transformation
u, bidiag, v = matrix.householder()
# expect, that multiplication works correctly.
res = u * bidiag * v
# res should be equal with c (except some rounding errors)
for row in range(res.get_height()):
for col in range(res.get_width()):
self.assertAlmostEqual(res.get_value(col, row), c[row][col], PRECISION)
# bidiag matrix should have 0 values below the diagonal
self.assertAlmostEqual(bidiag.get_value(0, 1), 0, PRECISION)
self.assertAlmostEqual(bidiag.get_value(0, 2), 0, PRECISION)
self.assertAlmostEqual(bidiag.get_value(1, 2), 0, PRECISION)
self.assertAlmostEqual(bidiag.get_value(2, 0), 0, PRECISION)示例2: householder_with_zero_column_test
# 需要导入模块: from pycast.common.matrix import Matrix [as 别名]
# 或者: from pycast.common.matrix.Matrix import householder [as 别名]
def householder_with_zero_column_test(self):
"""Test the householder transformation of a Matrix with a 0 column
All values of the 2nd column are 0."""
# set up test
c = [
[3, 0, 3, 2],
[0, 0, 5, 6],
[4, 0, 4, 7],
[8, 0, 3, 9]
]
matrix = Matrix(4, 4)
matrix.initialize(c, rowBased=True)
# execute householder transformation
u, bidiag, v = matrix.householder()
# expect, that multiplication works correctly.
res = u * bidiag * v
# res should be equal with c (except some rounding errors)
for row in range(res.get_height()):
for col in range(res.get_width()):
self.assertAlmostEqual(res.get_value(col, row), c[row][col], PRECISION)