ManagedArrayFunctions(T) Class - Extreme.Mathematics.LinearAlgebra.Implementation - Reference - Documentation - Math, Statistics and Matrix Libraries for .NET in C#, VB and F#

Introduction

Deployment Guide

Configuration

Using Parallelism

Mathematics Library User's Guide

Vector and Matrix Library User's Guide

Data Analysis Library User's Guide

Statistics Library User's Guide

Data Access Library User's Guide

Reference

ManagedArrayFunctionsT Class

Extreme Optimization Numerical Libraries for .NET Professional

Contains the default implementation for the BLAS for T-precision real numbers.

Inheritance Hierarchy

SystemObject
  Extreme.Mathematics.LinearAlgebra.ImplementationManagedArrayFunctionsT
    Extreme.Mathematics.LinearAlgebra.ImplementationManagedArrayFunctions
    Extreme.Mathematics.LinearAlgebra.ImplementationManagedArrayFunctionsOfSingle

Namespace: Extreme.Mathematics.LinearAlgebra.Implementation
Assembly: Extreme.Numerics.Net40 (in Extreme.Numerics.Net40.dll) Version: 6.0.16073.0 (6.0.16312.0)

Syntax

C++

Copy

public class ManagedArrayFunctions<T> : IVectorFunctions<T>, 
	IArrayFunctions<T, int, ArraySlice<T>>, IImplementation, IParallelized

Public Class ManagedArrayFunctions(Of T)
	Implements IVectorFunctions(Of T), IArrayFunctions(Of T, Integer, ArraySlice(Of T)), 
	IImplementation, IParallelized

generic<typename T>
public ref class ManagedArrayFunctions : IVectorFunctions<T>, 
	IArrayFunctions<T, int, ArraySlice<T>>, IImplementation, IParallelized

type ManagedArrayFunctions<'T> =  
    class
        interface IVectorFunctions<'T>
        interface IArrayFunctions<'T, int, ArraySlice<'T>>
        interface IImplementation
        interface IParallelized
    end

Type Parameters

T

The ManagedArrayFunctionsT type exposes the following members.

Constructors

	Name	Description
	ManagedArrayFunctionsT	Constructs a new managed linear algebra implementation for T-precision real and complex vectors and matrices.

Top

Properties

	Name	Description
	HasSharedDegreeOfParallelism	Indicates whether the degree of parallelism is a property that is shared across instances.
	ImplementedType	Gets the type that is implemented by this implementation.
	MaxDegreeOfParallelism	Gets or sets the maximum degree of parallelism enabled by the instance.
	Name	Gets the name of the implementation.
	Platform	Gets the processor architecture supported by the implementation.

Top

Methods

	Name	Description
	Abs	Computes the absolute value of each element of an array.
	Acos	Computes the inverse cosine of each element of an array.
	Acosh	Computes the inverse hyperbolic cosine of each element of an array.
	Add	Adds a value to each element of an array.
	Asin	Computes the inverse sine of each element of an array.
	Asinh	Computes the inverse hyperbolic sine of each element of an array.
	Atan	Computes the inverse tangent of each element of an array.
	Atan2	Computes the four-quadrant inverse tangent of each pair of corresponding elements of two arrays.
	Atanh	Computes the inverse hyperbolic tangent of each element of an array.
	Ceiling	Computes the smallest integer greather than or equal to each element of an array.
	Cos	Computes the cosine of each element of an array.
	Cosh	Computes the hyperbolic cosine of each element of an array.
	Divide(Int32, ArraySliceT, ArraySliceT, ArraySliceT)	Divides each element of an array by the corresponding element in another array.
	Divide(Int32, T, ArraySliceT, ArraySliceT)	Divides a number by each element of an array.
	Equals	Determines whether the specified Object is equal to the current Object. (Inherited from Object.)
	Exp	Computes the exponential of each element of an array.
	Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.)
	Floor	Computes the largest integer less than or equal to each element of an array.
	GetHashCode	Serves as a hash function for a particular type. (Inherited from Object.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	Hypot	Computes the square root of the sum of the squared corresponding elements of two matrices.
	Log	Computes the natural logarithm of each element of an array.
	Max(Int32, ArraySliceT)	Computes the maximum of all elements in the array.
	Max(Int32, ArraySliceT, T, ArraySliceT)	Computes the maximum of a number and each element of an array.
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	Min(Int32, ArraySliceT)	Computes the minimum of all elements in the array.
	Min(Int32, ArraySliceT, T, ArraySliceT)	Computes the minimum of a number and each element of an array.
	Multiply	Multiplies each element of an array by the corresponding element in another array.
	Pow(Int32, ArraySliceT, Int32, ArraySliceT)	Raises each element in an array to the specified power.
	Pow(Int32, ArraySliceT, T, ArraySliceT)	Raises each element in an array to the specified power.
	SetValue	Sets all elements in the array to the specified value.
	Sin	Computes the sine of each element of an array.
	Sinh	Computes the hyperbolic sine of each element of an array.
	Sqrt	Computes the square root of each element of an array.
	SubtractFrom	Subtracts each element of an array from a value.
	Sum	Computes the sum of all elements in the array.
	Tan	Computes the tangent of each element of an array.
	Tanh	Computes the hyperbolic tangent of each element of an array.
	ToString	Returns a string that represents the current object. (Inherited from Object.)

Top

Version Information

Numerical Libraries

Supported in: 6.0

Reference

Extreme.Mathematics.LinearAlgebra.Implementation Namespace

Send comments on this topic to support@extremeoptimization.com

Copyright © 2004-2018, Extreme Optimization. All rights reserved.
Extreme Optimization, Complexity made simple, M#, and M Sharp are trademarks of ExoAnalytics Inc.
Microsoft, Visual C#, Visual Basic, Visual Studio, Visual Studio.NET, and the Optimized for Visual Studio logo
are registered trademarks of Microsoft Corporation.