scijit.integrate

scipy.integrate equivalents callable from inside numba.@njit code: QUADPACK adaptive quadrature, LSODA/solve_ivp ODE integration, and the sampled-data rules. Each name below links to a page generated from its docstring: parameters, returns, a runnable @njit example, and, where it applies, the ways it differs from scipy.

quad	Adaptive integration of func from a to b.
dblquad	Double integral of func(y, x) over a curved region.
tplquad	Triple integral of func(z, y, x) over a curved region.
nquad	Integration over n variables.
odeint	Integrate a system of ODEs with LSODA over a time grid.
solve_ivp	Solve an initial value problem for a system of ODEs.
OdeSolution	Continuous solution over the integrated span, res.sol.
trapezoid	Composite trapezoidal rule over samples.
simpson	Composite Simpson's rule over samples.
cumulative_simpson	Running integral by composite Simpson's 1/3 rule.
cumulative_trapezoid	Running integral by the composite trapezoid rule.
romb	Romberg integration of equally-spaced samples.
newton_cotes	Weights and error coefficient of a Newton-Cotes rule.
fixed_quad	Definite integral by fixed-order Gauss-Legendre quadrature.
IntegrationWarning	Warning category emitted on a soft failure during integration.
ODEintWarning	Warning class odeint() uses.
ODEpackError	Exception class odeint() uses for ODEPACK binding checks.