LaplaceTransform[expr, t, s] gives the Laplace transform of expr. LaplaceTransform[expr, {t_1, t_2, ...}, {s_1, s_2, ...}] gives the multidimensional Laplace transform of ...
LeastSquares[m, b] finds an x that solves the linear least-squares problem for the matrix equation m.x == b.
LegendreP[n, x] gives the Legendre polynomial P_n (x). LegendreP[n, m, x] gives the associated Legendre polynomial P_n^m(x).
LerchPhi[z, s, a] gives the Lerch transcendent \[CapitalPhi] (z, s, a).
LindleyDistribution[\[Delta]] represents a Lindley distribution with shape parameter \[Delta].
LinearSolveFunction[dimensions, data] represents a function for providing solutions to a matrix equation.
LogGamma[z] gives the logarithm of the gamma function log \[CapitalGamma](z).
LogLikelihood[dist, {x_1, x_2, ...}] gives the log-likelihood function for observations x_1, x_2, ... from the distribution dist.
LQGRegulator[{ss, sensors, finputs}, {w, v, h}, {q, r, p}] constructs the optimal feedback regulator for the StateSpaceModel ss using noisy measurements sensors and feedback ...
LucasL
(Built-in Mathematica Symbol) LucasL[n] gives the Lucas number L_n.LucasL[n, x] gives the Lucas polynomial L_n (x).