VariableOrderOdeSolverOptions Class 
Namespace: CenterSpace.NMath.Core
The VariableOrderOdeSolverOptions type exposes the following members.
Name  Description  

VariableOrderOdeSolverOptions 
Constructs a VariableOrderOdeSolver.Options instance, setting
all options to their default.

Name  Description  

AbsoluteTolerance 
Gets and sets the bound on the estimated error at each integration step.
 
ConstantJacobian 
Gets and sets a matrix which is the constant Jacobian of the function
f in the differential equation
y' = f(t,y).
If no matrix is specified the algorithm will check to see if a
jacobian function is specified and if so use it. Otherwise jacobian
is numerically computed.
 
InitialStepSize 
Suggested initial step size. The solver will try this first. By
default the solver determines an initial step size automatically.
 
JacobianFunction 
Gets and sets a function for computing the Jacobian of the function
f in the differential equation
y' = f(t,y).
If no function is specified the algorithm will check to see if a constant
jacobian is specified and if so use it. Otherwise jacobian is numerically computed.
 
MassMatrix 
Gets and sets the Mass matrix M for problems of the form
M*y' = F(t,y) where M is a matrix of constant values.
 
MassMatrixFunction 
Gets and sets the timestate dependent Mass matrix M(t,y)
for problems of the form
M(t,y)*y' = F(t,y)
 
MaxOrder 
Maximum order formula used to compute the solution.
Default value is 5;
 
MaxStepSize 
Upper bound on step size. Defaults to onetenth of the times
span interval.
 
NormControl 
Control error relative to norm of solution. If true the
solver controls the error, e, in the solution, y, at each integration step by
norm(e) <= max(RelativeTolerance*norm(y), AbsoluteTolerance)
Default value is false.
 
OutputFunction 
Gets and sets the delegate for the output function.
 
Refine 
Increases the number of output points by the specified factor producing
smoother output. If Refine is n which is greater than 1, the solver subdivides each
time step into n smaller intervals and returns solutions at each time point.
The extra values produced for Refine are computed by means of continuous
extension formulas
The default for RungeKutta45OdeSolver solver is 4.
 
RelativeTolerance 
Bound on the estimated error at each integration step. At the
ith integration step the error, e[i] for the estimated solution
y[i] satisfies
e[i] <= max(RelativeTolerance*Math.Abs(y[i]), AbsoluteTolerance[i])
 
UseBackwardDifferention 
Rosenbrock32stiff is a variableorder solver for stiff problems. It is based on
the numerical differentiation formulas (NDFs). The NDFs are
generally more efficient than the closely related family of
backward differentiation formulas (BDFs), also known as Gear's
methods. The ode15s properties let you choose among these formulas,
as well as specifying the maximum order for the formula used.

Name  Description  

DefaultAbsTolerance 
Default value for the absolute error tolerance.
