本文整理汇总了Python中symengine.lib.symengine_wrapper.DenseMatrix.mul_matrix方法的典型用法代码示例。如果您正苦于以下问题：Python DenseMatrix.mul_matrix方法的具体用法？Python DenseMatrix.mul_matrix怎么用？Python DenseMatrix.mul_matrix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symengine.lib.symengine_wrapper.DenseMatrix的用法示例。
在下文中一共展示了DenseMatrix.mul_matrix方法的3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: test_mul_matrix
# 需要导入模块: from symengine.lib.symengine_wrapper import DenseMatrix [as 别名]
# 或者: from symengine.lib.symengine_wrapper.DenseMatrix import mul_matrix [as 别名]
def test_mul_matrix():
A = DenseMatrix(2, 2, [1, 2, 3, 4])
B = DenseMatrix(2, 2, [1, 0, 0, 1])
assert A.mul_matrix(B) == A
a = Symbol("a")
b = Symbol("b")
c = Symbol("c")
d = Symbol("d")
A = DenseMatrix(2, 2, [a, b, c, d])
B = DenseMatrix(2, 2, [1, 0, 1, 0])
assert A.mul_matrix(B) == DenseMatrix(2, 2, [a + b, 0, c + d, 0])示例2: test_mul_matrix
# 需要导入模块: from symengine.lib.symengine_wrapper import DenseMatrix [as 别名]
# 或者: from symengine.lib.symengine_wrapper.DenseMatrix import mul_matrix [as 别名]
def test_mul_matrix():
A = DenseMatrix(2, 2, [1, 2, 3, 4])
B = DenseMatrix(2, 2, [1, 0, 0, 1])
assert A.mul_matrix(B) == A
a = Symbol("a")
b = Symbol("b")
c = Symbol("c")
d = Symbol("d")
A = DenseMatrix(2, 2, [a, b, c, d])
B = DenseMatrix(2, 2, [1, 0, 1, 0])
assert A.mul_matrix(B) == DenseMatrix(2, 2, [a + b, 0, c + d, 0])
assert A * B == DenseMatrix(2, 2, [a + b, 0, c + d, 0])
A = DenseMatrix(2, 3, [1, 2, 3, 2, 3, 4])
B = DenseMatrix(3, 2, [3, 4, 4, 5, 5, 6])
assert A.mul_matrix(B) == DenseMatrix(2, 2, [26, 32, 38, 47])示例3: test_mul_matrix
# 需要导入模块: from symengine.lib.symengine_wrapper import DenseMatrix [as 别名]
# 或者: from symengine.lib.symengine_wrapper.DenseMatrix import mul_matrix [as 别名]
def test_mul_matrix():
A = DenseMatrix(2, 2, [1, 2, 3, 4])
B = DenseMatrix(2, 2, [1, 0, 0, 1])
assert A.mul_matrix(B) == A
a = Symbol("a")
b = Symbol("b")
c = Symbol("c")
d = Symbol("d")
A = DenseMatrix(2, 2, [a, b, c, d])
B = DenseMatrix(2, 2, [1, 0, 1, 0])
assert A.mul_matrix(B) == DenseMatrix(2, 2, [a + b, 0, c + d, 0])
assert A * B == DenseMatrix(2, 2, [a + b, 0, c + d, 0])
C = DenseMatrix(2, 3, [1, 2, 3, 2, 3, 4])
D = DenseMatrix(3, 2, [3, 4, 4, 5, 5, 6])
assert C.mul_matrix(D) == DenseMatrix(2, 2, [26, 32, 38, 47])
raises(ShapeError, lambda: A*D)