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Tutorials
=========
Quickstart
----------
For the impatient, here is a very quick overview.
.. code:: py
from mdpoly import State, Variable, Parameter
from mdpoly.representations import SparseRepr
# Construct an expression
x, y = Variable.from_names("x, y") # or just Variable("x")
k = Parameter("k")
p = (x + 2 * y) ** 3 + y ** 2 + k
print(f"{p = }")
# Make a concrete representation
state = State(parameters={k: 3.14}) # try to replace with empty dict
sparse, state = p.to_repr(SparseRepr, state)
# Look inside the representation
for entry in sparse.entries():
print(f"at (row, col) = {entry.row, entry.col} there is a polynomial:")
for term in sparse.terms(entry):
monomial_str = ""
for idx in term:
var = state.from_index(idx.var_idx)
monomial_str += f"{var.name}^{idx.power} "
# Get the coefficient
coeff = sparse.at(entry, term)
print(" - the monomial", monomial_str, "has coefficient", coeff)
# You can also simply iterate over it
for entry, term, coeff in sparse:
print(entry, term, coeff)
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