the set of differential equations to solve
Private inp_array used within algorithm, retained to avoid reallocation of array.
Private k1_array used within algorithm, retained to avoid reallocation of array.
Private k2_array used within algorithm, retained to avoid reallocation of array.
Private ode_the set of differential equations to solve.
Name of this object, either the language-independent name for scripting purposes or the localized name for display to user.
The language-independent name should be the same as the English version but capitalized and with spaces and dashes replaced by underscore, see Util.toName and nameEquals.
Optional opt_localized: booleantrue means return the localized version of the name;
default is false which means return the language independent name.
name of this object
Whether this DiffEqSolver has the given name, adjusting for the transformation to a language-independent form of the name, as is done by Util.toName.
the English or language-independent version of the name
whether this DiffEqSolver has the given name (adjusted to language-independent form)
Advances the associated ODESim by the given small time increment, which results in modifiying the state variables of the ODESim. Modifies the variables array obtained from ODESim.getVarsList by using the change rates obtained from ODESim.evaluate.
the amount of time to advance the differential equation
null if the step succeeds, otherwise an object relating to the error that occurred
Returns a minimal string representation of this object, usually giving just identity information like the class name and name of the object.
For an object whose main purpose is to represent another Printable object, it is
recommended to include the result of calling toStringShort on that other object.
For example, calling toStringShort() on a DisplayShape might return something like
this:
DisplayShape{polygon:Polygon{'chain3'}}
a minimal string representation of this object.
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Modified Euler method for solving ordinary differential equations expressed as a ODESim; operates by using the differential equations to advance the variables by a small time step.
This is a numerically stable version of the numerically unstable EulersMethod.