The Extreme.Mathematics namespace contains fundamental classes and base classes that define commonly-used mathematical value and reference data types, events and event handlers, interfaces, attributes, and processing exceptions.

Classes

	Class	Description
	AlgorithmHelper	Contains general methods that support several algorithm implementations.
	Constants	Contains various mathematical constants.
	ConvergenceException	Represents an exception that is thrown when an algorithm fails to converge.
	ConvergenceTest	Represents a convergence test for a IterativeAlgorithm.
	ConvergenceTestCollection	Represents a collection of convergence tests for an IterativeAlgorithm.
	DimensionMismatchException	Represents an exception that is thrown when the dimensions of Matrix or Vector objects are not compatible for the requested operation.
	DoubleComparer	Represents a comparer for double-precision floating-point numbers with specified tolerance.
	ElementaryFunctions	Contains methods for evaluating various elementary functions.
	FunctionFactory	Contains various methods for creating function delegates.
	IntentAttribute	Specifies the side effects of a method on a parameter.
	IterativeAlgorithm	Acts as an abstract base class for classes that implement an iterative algorithm.
	MachineConstants	Contains constants related to the specific implementation of floating point arithmetic in the .NET framework and the Common Language Runtime.
	ManagedIterativeAlgorithm	Represents an implementation of an iterative algorithm that uses a managed driver routine.
	Permutation	Represents a permutation, a rearrangement of the elements of a set or collection.
	SimpleConvergenceTest	Represents a convergence test.
	TotalLossOfPrecisionException	Represents an exception that is thrown when roundoff errors in a calculation make it impossible to produce a meaningful result.
	VectorConvergenceTest	Represents a convergence test based on the size of a vector.

Structures

	Structure	Description
	DoubleComplex	Represents a complex number.

Delegates

	Delegate	Description
	BivariateRealFunction	Represents a function returning a real number that has two real arguments.
	ComplexFunction	Represents a function returning a complex number that has one DoubleComplex argument.
	DoubleEvaluator	Represents a function that returns a Double value.
	FastMultivariateMatrixFunction	Represents a function returning a Vector that has a Vector as its argument.
	FastMultivariateVectorFunction	Represents a function returning a Vector that has a Vector as its argument.
	MultivariateRealFunction	Represents a function returning a real number that has a Vector as its argument.
	MultivariateVectorFunction	Represents a function returning a Vector that has a Vector as its argument.
	ParameterizedMultivariateRealFunction	Represents a function returning a real number, has a Vector as its argument and is parameterized by a set of real numbers represented by another Vector.
	ParameterizedRealFunction	Represents a function returning a real number that has one integer parameter and one real argument.
	RealFunction	Represents a function returning a real number that has one real argument.
	TrivariateRealFunction	Represents a function returning a real number that has three real arguments.

Enumerations

	Enumeration	Description
	AlgorithmStatus	(Obsolete.) Enumerates the possible result codes for classes that support the IterativeAlgorithm interface.
	ConvergenceCriterion	Enumerates possible values for the ConvergenceCriterion property of classes that inherit from the IterativeAlgorithm class.
	ConvergenceTestQuantifier	Enumerates the possible ways tests in a ConvergenceTestCollection are combined.
	DimensionType	Enumerates the possible values for the type of dimension in a DimensionMismatchException.
	Intent	Enumerates the possible reasons for how an object will be used.
	IterationResultCode	Obsolete. (Obsolete.) Enumerates the possible result codes for classes that support the IterativeAlgorithm interface.
	VectorConvergenceErrorMeasure	Enumerates the ways to measure the error in a VectorConvergenceTest.
	VectorConvergenceNorm	Enumerates the possible norms to be used in a VectorConvergenceTest.