lagmulx(c)
Multiply the Laguerre series c
by x, where x is the independent variable.
The multiplication uses the recursion relationship for Laguerre polynomials in the form
$$xP_i(x) = (-(i + 1)*P_{i + 1}(x) + (2i + 1)P_{i}(x) - iP_{i - 1}(x))$$1-D array of Laguerre series coefficients ordered from low to high.
Array representing the result of the multiplication.
Multiply a Laguerre series by x.
>>> from numpy.polynomial.laguerre import lagmulxSee :
... lagmulx([1, 2, 3]) array([-1., -1., 11., -9.])
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.polynomial.laguerre.lagpow
numpy.polynomial.laguerre.lagmul
numpy.polynomial.laguerre.lagdiv
numpy.polynomial.laguerre.lagadd
numpy.polynomial.laguerre.lagsub
Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them