Equation System Solver Class
Serves as an abstract base class for classes that solve systems of non-linear equations.
Definition
Namespace: Numerics.NET.EquationSolvers
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.0.4
C#
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.0.4
public abstract class EquationSystemSolver : ManagedIterativeAlgorithm
- Inheritance
- Object → ManagedIterativeAlgorithm<Object, Double, SolutionReport<Object, Double>> → ManagedIterativeAlgorithm<Object> → ManagedIterativeAlgorithm → EquationSystemSolver
- Derived
Remarks
The EquationSystemSolver class is the abstract base class of all classes that implement algorithms that solve systems of non-linear equations. The class inherits from ManagedIterativeAlgorithm. All the properties and methods exposed by this interface are available to all derived classes.
This class cannot be instantiated directly. Instead, use one of the following derived classes:
- NewtonRaphsonSystemSolver – Represents a EquationSystemSolver that uses the Newton-Raphson algorithm in multiple dimensions.
- DoglegSystemSolver – Represents a EquationSystemSolver that uses Powell's dogleg algorithm.
Constructors
Equation | Constructs a new EquationSystemSolver object. |
Properties
Convergence |
Gets the collection of convergence tests for the algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Current | Gets or sets the current best approximation to the solution. |
Current | Gets or sets the value of the target functions at the current point. |
Dimensions | Gets or sets the number of dimensions of the optimization problem. |
Estimated |
Gets a value indicating the size of the absolute
error of the result.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Evaluations |
Gets the number of evaluations needed to execute the algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Evaluations |
Gets the number of evaluations still available.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Has |
Indicates whether the degree of parallelism is a property that is shared
across instances.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Initial | Gets or sets the initial value for the Newton-Raphson iteration. |
Initialize | Gets or sets whether the Jacobian should be initialized to an all zero matrix. |
Iterations |
Gets the number of iterations needed by the
algorithm to reach the desired accuracy.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Iterations |
Gets the number of iterations remaining.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Jacobian | Gets or sets the Jacobian for the EquationSystemSolver. |
Jacobian | Gets the Jacobian matrix of the system of equations for the current point. |
Last | Gets the last correction to the solution of the system of equations. |
Max |
Gets or sets the maximum degree of parallelism enabled by this instance.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Max |
Gets or sets the maximum number of evaluations during the calculation.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Max | Gets or sets the maximum number of iterations
to use when approximating the roots of the target
function.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Min |
Gets or sets the minimum iterations that have to be performed.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Parallel |
Gets or sets the configuration for the parallel behavior of the algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Result |
Gets the result of an algorithm after it has executed.
(Overrides ManagedIterativeAlgorithm<T, TError, TReport>.Result) |
Right | Gets or sets the right-hand side of the system of equations. |
Solution |
Gets the result of an algorithm after it has executed.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Solution | Gets the VectorConvergenceTest<T> that uses the approximate solution. |
Status |
Gets the AlgorithmStatus following
an execution of the algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Target | Gets or sets the target function for the EquationSystemSolver. |
Throw |
Gets or sets whether to throw an
exception when the algorithm fails to converge.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Value | Gets the VectorConvergenceTest<T> that uses the value of the target functions. |
Methods
Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
Evaluate | Evaluates the target functions of the system of equations. |
Evaluate | Evaluates the Jacobian of the system of equations for the current point. |
Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object) |
Get | Serves as the default hash function. (Inherited from Object) |
Get | Gets the Type of the current instance. (Inherited from Object) |
Increment |
Increments the number of evaluations by one.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Increment |
Increments the number of evaluations by the specified amount.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Iterate |
Performs one iteration of the algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Iterated |
Performs tasks after the iteration is completed, but before
the status of the algorithm is finalized.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Memberwise | Creates a shallow copy of the current Object. (Inherited from Object) |
OnConvergence |
Performs any tasks after the main algorithm has converged.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
OnFailure |
Performs any tasks after the main algorithm has failed to converge.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
OnInit |
Performs initialization before the first iteration.
(Overrides ManagedIterativeAlgorithm<T, TError, TReport>.OnInit()) |
Report |
Records the results of an algorithm in case it fails.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Report |
Records the results of an algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Report |
Records the results of a algorithm that converged successfully.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Reset |
Resets the number of evaluations to zero.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Restart |
Prepares the algorithm to be run again with possibly different inputs.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Run() |
Runs the algorithm.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Run( |
Runs the algorithm using the specified parallelization options.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Set | Sets the target functions. |
Set | Sets the target functions. |
Set |
Sets the results of an algorithm's execution.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Set | Defines the left hand sides of the equations to solve as a set of lambda expressions. |
Set | Sets the target functions. |
Solve() | Attempts to find a root or zero of the target function. |
Solve( | Attempts to find the point where the target function equals the specified value. |
Test |
Checks whether the algorithm has converged.
(Overrides ManagedIterativeAlgorithm<T, TError, TReport>.TestConvergence()) |
Thread |
Increments the number of evaluations by one.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Thread |
Increments the number of evaluations by the specified amount.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
Throw |
Interprets the AlgorithmStatus and
throws the appropriate exception.
(Inherited from ManagedIterativeAlgorithm<T, TError, TReport>) |
ToString | Returns a string that represents the current object. (Inherited from Object) |
Fields
Default | Specifies the default maximum number of iterations to use when approximating the roots of the target function. |