Numerical Methods for ODEs
Numerical Methods for ODEs#
Numerical methods for ordinary differential equations (ODEs).
- Base Integrator
- Generic Functions
- Explicit Runge-Kutta Methods
- brainpy.integrators.ode.explicit_rk.ExplicitRKIntegrator
- brainpy.integrators.ode.explicit_rk.Euler
- brainpy.integrators.ode.explicit_rk.MidPoint
- brainpy.integrators.ode.explicit_rk.Heun2
- brainpy.integrators.ode.explicit_rk.Ralston2
- brainpy.integrators.ode.explicit_rk.RK2
- brainpy.integrators.ode.explicit_rk.RK3
- brainpy.integrators.ode.explicit_rk.Heun3
- brainpy.integrators.ode.explicit_rk.Ralston3
- brainpy.integrators.ode.explicit_rk.SSPRK3
- brainpy.integrators.ode.explicit_rk.RK4
- brainpy.integrators.ode.explicit_rk.Ralston4
- brainpy.integrators.ode.explicit_rk.RK4Rule38
- Adaptive Runge-Kutta Methods
- brainpy.integrators.ode.adaptive_rk.AdaptiveRKIntegrator
- brainpy.integrators.ode.adaptive_rk.RKF12
- brainpy.integrators.ode.adaptive_rk.RKF45
- brainpy.integrators.ode.adaptive_rk.DormandPrince
- brainpy.integrators.ode.adaptive_rk.CashKarp
- brainpy.integrators.ode.adaptive_rk.BogackiShampine
- brainpy.integrators.ode.adaptive_rk.HeunEuler
- Exponential Integrators
- Error Analysis of Numerical Methods