本文整理汇总了Python中sympy.assumptions.Q.upper_triangular方法的典型用法代码示例。如果您正苦于以下问题:Python Q.upper_triangular方法的具体用法?Python Q.upper_triangular怎么用?Python Q.upper_triangular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sympy.assumptions.Q
的用法示例。
在下文中一共展示了Q.upper_triangular方法的7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: MatPow
# 需要导入模块: from sympy.assumptions import Q [as 别名]
# 或者: from sympy.assumptions.Q import upper_triangular [as 别名]
def MatPow(expr, assumptions):
# only for integer powers
base, exp = expr.args
int_exp = ask(Q.integer(exp), assumptions)
if not int_exp:
return None
non_negative = ask(~Q.negative(exp), assumptions)
if (non_negative or non_negative == False
and ask(Q.invertible(base), assumptions)):
return ask(Q.upper_triangular(base), assumptions)
return None
示例2: Transpose
# 需要导入模块: from sympy.assumptions import Q [as 别名]
# 或者: from sympy.assumptions.Q import upper_triangular [as 别名]
def Transpose(expr, assumptions):
return ask(Q.upper_triangular(expr.arg), assumptions)
示例3: MatrixSlice
# 需要导入模块: from sympy.assumptions import Q [as 别名]
# 或者: from sympy.assumptions.Q import upper_triangular [as 别名]
def MatrixSlice(expr, assumptions):
if not expr.on_diag:
return None
else:
return ask(Q.upper_triangular(expr.parent), assumptions)
示例4: Inverse
# 需要导入模块: from sympy.assumptions import Q [as 别名]
# 或者: from sympy.assumptions.Q import upper_triangular [as 别名]
def Inverse(expr, assumptions):
return ask(Q.upper_triangular(expr.arg), assumptions)
示例5: MatrixSymbol
# 需要导入模块: from sympy.assumptions import Q [as 别名]
# 或者: from sympy.assumptions.Q import upper_triangular [as 别名]
def MatrixSymbol(expr, assumptions):
if Q.upper_triangular(expr) in conjuncts(assumptions):
return True
示例6: MatAdd
# 需要导入模块: from sympy.assumptions import Q [as 别名]
# 或者: from sympy.assumptions.Q import upper_triangular [as 别名]
def MatAdd(expr, assumptions):
if all(ask(Q.upper_triangular(arg), assumptions) for arg in expr.args):
return True
示例7: MatMul
# 需要导入模块: from sympy.assumptions import Q [as 别名]
# 或者: from sympy.assumptions.Q import upper_triangular [as 别名]
def MatMul(expr, assumptions):
factor, matrices = expr.as_coeff_matrices()
if all(ask(Q.upper_triangular(m), assumptions) for m in matrices):
return True