API Reference#
- Linear Algebra
- The Data Model
- Arrays
- Frames
ReferenceFrame
ReferenceFrame.Gram()
ReferenceFrame.axes
ReferenceFrame.copy()
ReferenceFrame.dcm()
ReferenceFrame.deepcopy()
ReferenceFrame.dual()
ReferenceFrame.eye()
ReferenceFrame.is_cartesian
ReferenceFrame.is_independent
ReferenceFrame.is_rectangular
ReferenceFrame.metric_tensor()
ReferenceFrame.name
ReferenceFrame.orient()
ReferenceFrame.orient_new()
ReferenceFrame.rotate()
ReferenceFrame.rotate_new()
ReferenceFrame.show()
ReferenceFrame.transpose()
ReferenceFrame.volume()
RectangularFrame
CartesianFrame
- Vectors
- Tensors
- Routines
has_full_column_rank()
has_full_rank()
has_full_row_rank()
is_hermitian()
is_independent_frame()
is_normal_frame()
is_orthonormal_frame()
is_pos_def()
is_pos_semidef()
is_rectangular_frame()
Gram()
cross()
dot()
dual_frame()
generalized_inverse()
generalized_left_inverse()
generalized_right_inverse()
normalize_frame()
permutation_tensor()
random_pos_semidef_matrix()
random_posdef_matrix()
rotation_matrix()
show_vector()
- Functions and Relations
- Linear Programming (LP)
LinearProgrammingProblem
LinearProgrammingProblem.add_constraint()
LinearProgrammingProblem.basic_solution()
LinearProgrammingProblem.eval_constraints()
LinearProgrammingProblem.example_unique()
LinearProgrammingProblem.feasible()
LinearProgrammingProblem.get_slack_variables()
LinearProgrammingProblem.get_system_variables()
LinearProgrammingProblem.has_standardform()
LinearProgrammingProblem.maximize()
LinearProgrammingProblem.simplify()
LinearProgrammingProblem.solve()
LinearProgrammingProblem.solve_standard_form()
LinearProgrammingProblem.to_numpy()
DegenerateProblemError
NoSolutionError
- Genetic Algorithms (GA)
- Graphs and Graph Routines
- Approximation