Radau
The Radau object implements Radau IIA, which is a simple Ordinary Differential Equation ODE solver for moderately stiff systems. Solve for y given
d/dt y = f(t, y).
Attributes
- Graph
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- Supertypes
- Self type
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Radau.type
Members list
Value members
Concrete methods
Attributes
Attributes
Compute the Jacobian matrix for a vector-valued derivative function represented as an array of scalar-valued functions. The i-th row in the matrix is the gradient of the i-th function.
Compute the Jacobian matrix for a vector-valued derivative function represented as an array of scalar-valued functions. The i-th row in the matrix is the gradient of the i-th function.
Value parameters
- f
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the array of functions whose Jacobian is sought
- y
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the point (vector) at which to estimate the Jacobian
Attributes
Attributes
Inherited methods
Get the error estimate.
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).
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).
Value parameters
- f
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the array of derivative functions [f_j(t, y_j)]
- step
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the step size
- t
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the time value at which to compute y(t)
- t0
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the initial time
- y0
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the initial value vector, y0 = y(t0)
Attributes
- Inherited from:
- Integrator
Inherited fields
The default step size for the t dimension
Estimate of the error in calculating y