Extreme.Mathematics Namespace

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

ArrayMath	Contains methods that perform operations on arrays.
BigFloat	Represents a floating-point number with arbitrary precision.
CategoricalVector<T>	Represents a vector whose elements can take on a limited set of values.
Constants	Contains various mathematical constants.
CoreImplementations<T>	Encapsulates the currently active core algorithms.
DecimalMath
DimensionMismatchException	Represents an exception that is thrown when the dimensions of a matrix or vector are not compatible for the requested operation.
DoubleComparer	Represents a comparer for double-precision floating-point numbers with specified tolerance.
Elementary	Contains methods for evaluating various elementary functions.
ElementType<T>	Contains defaults for the specified element type of an array.
FunctionMath	Contains methods that perform operations on mathematical functions.
GenericCoreProvider<T>	Represents a managed provider for the core linear algebra and FFT functionality for an element type.
GenericImplementations	Provides access to the generic provider.
InsufficientDataException	Represents an exception that may be thrown when a variable or variable collection contains insufficient data to perform a calculation.
IntegerMath	Contains methods that perform operations on integers.
Iterators	Contains methods for generating combinatorial sequences over collections.
MachineConstants	Contains constants related to the specific implementation of floating-point arithmetic in the .NET framework and the Common Language Runtime.
ManagedCoreProviderOfSingle	Encapsulates the currently active BLAS implementation.
Math<T>	Contains methods for evaluating various elementary functions.
Matrix	Contains static methods that operate on matrices.
Matrix<T>	Represents a matrix, a two-dimensional array of real numbers.
MatrixExtensions	Contains methods for operations that are different for real and complex vectors and matrices.
NumericsConfiguration	Provides access to global configuration settings.
Operations<T>	Represents the arithmetic and other operations for an operand type.
Permutation	Represents a permutation, a rearrangement of the elements of a set or collection.
RandomExtensions	Constains extension methods for random number generators.
SingleConstants	Contains various mathematical constants in single precision.
SinglePrecisionImplementations	Provides access to the single-precision providers.
SolutionReport<T>	Represents the result of running a ManagedIterativeAlgorithm<T, TError, TReport>.
SolutionReport<T, TError>	Represents the result of running a ManagedIterativeAlgorithm<T, TError, TReport>.
Special	Contains methods for calculating the values of hypergeometric functions.
SummaryOptions	Represents options available when creating summary strings for objects.
SymbolicMath	Contains methods that perform operations on mathematical functions.
TotalLossOfPrecisionException	Represents an exception that is thrown when roundoff errors in a calculation make it impossible to produce a meaningful result.
Vector	Contains static methods that operate on vectors.
Vector<T>	Represents a vector, a one-dimensional array of real numbers.
VectorExtensions	Contains methods for operations that are different for real and complex vectors and matrices.

Structures

AccuracyGoal	Describes the desired accuracy for an arbitrary precision floating-point operation.
ArrayAttributes	Represents detailed information about vectors and matrices.
BigInteger	Represents a positive integer of arbitrary size.
BigRational	Represents an arbitrary rational number.
Complex<T>	Represents a generic complex value.
Interval	Represents an interval of real numbers.
Interval<T>	Represents an interval of ordered values.
Quad	Represents a real number in IEEE/IEC quadruple-precision floating-point format.
Range	Represents a range of indexes.
Slice	Represents a set of indexes at equally spaced intervals.
TypedVectorWrapper<K, T>	Represents a data frame vector with typed index and values.

Interfaces

ICategoricalVector	Represents the common methods and properties for indexed collections that contain categorical data.
IDistributed	Defines the properties and methods common to all distributed data structures.
IPermutable	Represents the contract for a collection that allows its elements to be permuted.
ISummarizable	Defines methods for returning a human-readable summary of the object.
IVector	Represents the common methods and properties for indexed collections.

Delegates

FunctionWithDerivative

Represents an objective function that also computes the derivative.

Enumerations

AlgorithmStatus	Enumerates the possible result codes for classes that support the IterativeAlgorithm interface.
ArrayMutability	Enumerates the levels of mutability of a vector or matrix.
ConvergenceCriterion	Enumerates possible values for the ConvergenceCriterion property of classes that inherit from the ConvergenceTest<T> and ManagedIterativeAlgorithm<T, TError, TReport> classes.
Dimension	Enumerates the dimensions of a matrix.
DimensionType	Enumerates the possible values for the type of dimension in a DimensionMismatchException.
DistributedDataLocation	Enumerates possible configurations for the location of the components of a distributed array.
Intent	Enumerates the possible reasons for how an object will be used.
MatrixDiagonal	Represents the possible values that specify whether or not a TriangularMatrix<T> has 1's on its diagonal.
MatrixElementOrder	Represents the possible values for the order in which elements of a matrix are stored. The matrix elements must be contiguous in the storage array in the direction specified by this value.
MatrixNorm	Enumerates the types of matrix norms.
MatrixOperationSide	Represents the possible values that specify the side of an operand to a matrix operation.
MatrixStructure	Enumerates the options for the structure of a sparse matrix.
MatrixTriangle	Represents the possible values specifying the part of the storage array where the elements of a triangular or symmetrical matrix are stored.
MutabilityBehaviour	Enumerates the possible behaviour of functions that return subsets of objects when the mutability isn't strictly specified.
RoundingMode	Enumerates the possible ways to round a number.
TransposeOperation	Represents the possible values of an operation to be performed on a matrix before it is multiplied.