object DormandPrince extends Integrator
The DormandPrince
object provides a state-of-the-art numerical ODE solver.
Given an unknown, time-dependent function 'y(t)' governed by an Ordinary
Differential Equation (ODE) of the form
d/dt y(t) = f(t, y)
compute 'y(t)' using a (4,5)-order Dormand-Prince Integrator 'DOPRI'. Note:
the 'integrateV' method for a system of separable ODEs is mixed in from the
Integrator
trait.
- See also
http://adorio-research.org/wordpress/?p=6565
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val
a21: Double
Butcher tableau @see http://en.wikipedia.org/wiki/Dormand–Prince_method
- val a31: Double
- val a32: Double
- val a41: Double
- val a42: Double
- val a43: Double
- val a51: Double
- val a52: Double
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- val b1: Double
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- val b4p: Double
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- val b5p: Double
- val b6: Double
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- val b7: Double
- val b7p: Double
- val c2: Double
- val c3: Double
- val c4: Double
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val
defaultStepSize: Double
The default step size for the t dimension
The default step size for the t dimension
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val
error: Double
Estimate of the error in calculating y
Estimate of the error in calculating y
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finalize(): Unit
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def
getError: Double
Get the error estimate.
Get the error estimate.
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def
integrate(f: Derivative, y0: Double, t: Double, t0: Double = 0.0, step: Double = defaultStepSize): Double
Compute y(t) governed by a differential equation using numerical integration of the derivative function f(t, y) using a (4,5)-order Dormand-Prince method to return the value of y(t) at time t.
Compute y(t) governed by a differential equation using numerical integration of the derivative function f(t, y) using a (4,5)-order Dormand-Prince method to return the value of y(t) at time t.
- f
the derivative function f(t, y)
- y0
value of the y-function at time t0, y0 = y(t0)
- t
the time value at which to compute y(t)
- t0
the initial time
- step
the middle step size
- Definition Classes
- DormandPrince → Integrator
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def
integrate2(f: Derivative, y0: Double, t: Double, hmin: Double, hmax: Double, t0: Double = 0.0, tol: Double = 1E-5, maxSteps: Int = 1000): Double
Compute y(t) governed by a differential equation using numerical integration of the derivative function f(t, y) using a (4,5)-order Dormand-Prince method to return the value of y(t) at time t.
Compute y(t) governed by a differential equation using numerical integration of the derivative function f(t, y) using a (4,5)-order Dormand-Prince method to return the value of y(t) at time t. The method provides more customization options.
- f
the derivative function f(t, y)
- y0
value of the y-function at time t0, y0 = y(t0)
- t
the time value at which to compute y(t)
- hmin
the minimum step size
- hmax
the maximum step size
- t0
the initial time
- tol
the tolerance
- maxSteps
the maximum number of steps
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def
integrateV(f: Array[Derivative], y0: VectorD, t: Double, t0: Double = 0.0, step: Double = defaultStepSize): VectorD
Apply the integrate method to each derivative to compute the trajectory of a time-dependent vector function y(t) governed by a separable system of Ordinary Differential Equations (ODE's) where [f_j(t, y_j)] is an array of derivative functions.
Apply the integrate method to each derivative to compute the trajectory of a time-dependent vector function y(t) governed by a separable system of Ordinary Differential Equations (ODE's) where [f_j(t, y_j)] is an array of derivative functions. Each derivative function takes a scalar t and a scalar y_j = y(j).
- f
the array of derivative functions [f_j(t, y_j)]
- y0
the initial value vector, y0 = y(t0)
- t
the time value at which to compute y(t)
- t0
the initial time
- step
the step size
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- Integrator
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def
integrateVV(f: Array[DerivativeV], y0: VectorD, t: Double, t0: Double = 0.0, step: Double = defaultStepSize): VectorD
Compute y(t), a vector, governed by a system of differential equations using numerical integration of the derivative function f(t, y) using a (4,5)-order Dormand-Prince method to return the value of y(t) at time t.
Compute y(t), a vector, governed by a system of differential equations using numerical integration of the derivative function f(t, y) using a (4,5)-order Dormand-Prince method to return the value of y(t) at time t.
- f
the array of derivative functions [f(t, y)] where y is a vector
- y0
the value of the y-function at time t0, y0 = y(t0)
- t
the time value at which to compute y(t)
- t0
the initial time
- step
the step size
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- DormandPrince → Integrator
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