API Reference

• Linear Algebra
  • The Data Model
  • Arrays
    • ArrayWrapper
      • ArrayWrapper.chop()
      • ArrayWrapper.dim
      • ArrayWrapper.minmax
      • ArrayWrapper.to_numpy()
    • JaggedArray
      • JaggedArray.flatten()
      • JaggedArray.is_jagged()
      • JaggedArray.shape
      • JaggedArray.size
      • JaggedArray.to_ak()
      • JaggedArray.to_array()
      • JaggedArray.to_csr()
      • JaggedArray.to_list()
      • JaggedArray.to_numpy()
      • JaggedArray.to_scipy()
      • JaggedArray.unique()
      • JaggedArray.widths()
    • csr_matrix
      • csr_matrix.eye()
      • csr_matrix.irow()
      • csr_matrix.row()
      • csr_matrix.to_numpy()
      • csr_matrix.to_scipy()
  • 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
      • RectangularFrame.is_independent
      • RectangularFrame.is_rectangular
    • CartesianFrame
      • CartesianFrame.Gram()
      • CartesianFrame.dual()
      • CartesianFrame.is_cartesian
      • CartesianFrame.is_rectangular
      • CartesianFrame.volume()
  • Vectors
    • Vector
      • Vector.copy()
      • Vector.deepcopy()
      • Vector.dual()
      • Vector.orient()
      • Vector.orient_new()
      • Vector.rank
      • Vector.show()
  • Tensors
    • Tensor
      • Tensor.copy()
      • Tensor.deepcopy()
      • Tensor.dual()
      • Tensor.orient()
      • Tensor.orient_new()
      • Tensor.show()
      • Tensor.transform_components()
    • Tensor2
      • Tensor2.transform_components()
    • Tensor4
      • Tensor4.transform_components()
  • Routines
    • Gram()
    • cross()
    • dot()
    • dual_frame()
    • is_hermitian()
    • is_independent_frame()
    • is_normal_frame()
    • is_orthonormal_frame()
    • is_pos_def()
    • is_pos_semidef()
    • is_rectangular_frame()
    • normalize_frame()
    • permutation_tensor()
    • random_pos_semidef_matrix()
    • random_posdef_matrix()
    • rotation_matrix()
    • show_vector()
• Functions and Relations
  • Function
    • Function.coefficients()
    • Function.linear
    • Function.linear_coefficients()
    • Function.subs()
    • Function.symbolic
    • Function.to_latex()
  • Equality
  • InEquality
  • Test Functions
    • Beale()
    • GoldsteinPrice()
    • Himmelblau()
    • Matyas()
    • Rosenbrock()
• 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)
  • GeneticAlgorithm
    • GeneticAlgorithm.crossover()
    • GeneticAlgorithm.decode()
    • GeneticAlgorithm.mutate()
    • GeneticAlgorithm.populate()
    • GeneticAlgorithm.select()
    • GeneticAlgorithm.solve()
  • BinaryGeneticAlgorithm
    • BinaryGeneticAlgorithm.crossover()
    • BinaryGeneticAlgorithm.decode()
    • BinaryGeneticAlgorithm.mutate()
    • BinaryGeneticAlgorithm.populate()
    • BinaryGeneticAlgorithm.select()
• Graphs and Graph Routines
  • Graph
    • Graph.adjacency_matrix()
    • Graph.pseudo_peripheral_nodes()
    • Graph.rooted_level_structure()
  • pseudo_peripheral_nodes()
  • rooted_level_structure()
• Approximation
  • approx_Lagrange_1d()
  • gen_Lagrange_1d()