Matrix Expressions ================== .. module:: sympy.matrices.expressions The Matrix expression module allows users to write down statements like >>> from sympy import MatrixSymbol, Matrix >>> X = MatrixSymbol('X', 3, 3) >>> Y = MatrixSymbol('Y', 3, 3) >>> (X.T*X).I*Y X^-1*X'^-1*Y >>> Matrix(X) Matrix([ [X[0, 0], X[0, 1], X[0, 2]], [X[1, 0], X[1, 1], X[1, 2]], [X[2, 0], X[2, 1], X[2, 2]]]) >>> (X*Y)[1, 2] X[1, 0]*Y[0, 2] + X[1, 1]*Y[1, 2] + X[1, 2]*Y[2, 2] where ``X`` and ``Y`` are :class:`MatrixSymbol`'s rather than scalar symbols. Matrix Expressions Core Reference --------------------------------- .. autoclass:: MatrixExpr :members: .. autoclass:: MatrixSymbol :members: .. autoclass:: MatAdd :members: .. autoclass:: MatMul :members: .. autoclass:: MatPow :members: .. autoclass:: Inverse :members: .. autoclass:: Transpose :members: .. autoclass:: Trace :members: .. autoclass:: FunctionMatrix :members: .. autoclass:: Identity :members: .. autoclass:: ZeroMatrix :members: Block Matrices -------------- Block matrices allow you to construct larger matrices out of smaller sub-blocks. They can work with :class:`MatrixExpr` or :class:`ImmutableMatrix` objects. .. module:: sympy.matrices.expressions.blockmatrix .. autoclass:: BlockMatrix :members: .. autoclass:: BlockDiagMatrix :members: .. autofunction:: block_collapse