Extreme Optimization™: Complexity made simple.

Math and Statistics
Libraries for .NET
  • Home
  • Features
    • Math Library
    • Vector and Matrix Library
    • Statistics Library
    • Performance
    • Usability
  • Documentation
    • Introduction
    • Math Library User's Guide
    • Vector and Matrix Library User's Guide
    • Data Analysis Library User's Guide
    • Statistics Library User's Guide
    • Reference
  • Resources
    • Downloads
    • QuickStart Samples
    • Sample Applications
    • Frequently Asked Questions
    • Technical Support
  • Blog
  • Order
  • Company
    • About us
    • Testimonials
    • Customers
    • Press Releases
    • Careers
    • Partners
    • Contact us
Introduction
Deployment Guide
Nuget packages
Configuration
Using Parallelism
Expand Mathematics Library User's GuideMathematics Library User's Guide
Expand Vector and Matrix Library User's GuideVector and Matrix Library User's Guide
Expand Data Analysis Library User's GuideData Analysis Library User's Guide
Expand Statistics Library User's GuideStatistics Library User's Guide
Expand Data Access Library User's GuideData Access Library User's Guide
Expand ReferenceReference
  • Extreme Optimization
    • Features
    • Solutions
    • Documentation
    • QuickStart Samples
    • Sample Applications
    • Downloads
    • Technical Support
    • Download trial
    • How to buy
    • Blog
    • Company
    • Resources
  • Documentation
    • Introduction
    • Deployment Guide
    • Nuget packages
    • 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
  • Reference
    • Extreme
    • Extreme.Collections
    • Extreme.Data
    • Extreme.Data.Json
    • Extreme.Data.Matlab
    • Extreme.Data.R
    • Extreme.Data.Stata
    • Extreme.Data.Text
    • Extreme.DataAnalysis
    • Extreme.DataAnalysis.Linq
    • Extreme.DataAnalysis.Models
    • Extreme.Mathematics
    • Extreme.Mathematics.Algorithms
    • Extreme.Mathematics.Calculus
    • Extreme.Mathematics.Calculus.OrdinaryDifferentialEquations
    • Extreme.Mathematics.Curves
    • Extreme.Mathematics.Curves.Nonlinear
    • Extreme.Mathematics.Distributed
    • Extreme.Mathematics.EquationSolvers
    • Extreme.Mathematics.Generic
    • Extreme.Mathematics.LinearAlgebra
    • Extreme.Mathematics.LinearAlgebra.Implementation
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers
    • Extreme.Mathematics.LinearAlgebra.IterativeSolvers.Preconditioners
    • Extreme.Mathematics.Optimization
    • Extreme.Mathematics.Optimization.LineSearches
    • Extreme.Mathematics.Random
    • Extreme.Mathematics.SignalProcessing
    • Extreme.Providers
    • Extreme.Providers.InteropServices
    • Extreme.Statistics
    • Extreme.Statistics.Distributions
    • Extreme.Statistics.Multivariate
    • Extreme.Statistics.Tests
    • Extreme.Statistics.TimeSeriesAnalysis
  • Extreme.Mathematics.LinearAlgebra
    • BandMatrix(T) Class
    • BlockVector(T) Class
    • CholeskyDecomposition(T) Class
    • CloningMethod Enumeration
    • ColumnCollection(T) Structure
    • ComplexSingularValueDecomposition(T) Class
    • ComponentReadOnlyException Class
    • ComposedComplexMatrix(T) Class
    • ComposedComplexVector(T) Class
    • ConstantMatrix(T) Class
    • ConstantVector(T) Class
    • Decomposition(T) Class
    • DenseMatrix(T) Class
    • DenseVector(T) Class
    • DiagonalMatrix(T) Class
    • EigenvalueDecomposition(T) Class
    • EigenvalueRange Enumeration
    • GeneralizedDecomposition(T) Class
    • GeneralizedEigenvalueDecomposition(T) Class
    • GeneralizedSingularValueDecomposition(T) Class
    • GeneralizedSingularValueDecompositionFactors Enumeration
    • HermitianMatrix(T) Class
    • IndexedVector(T) Class
    • IndexValuePair(T) Structure
    • IResizableMatrix(T) Interface
    • LeastSquaresSolutionMethod Enumeration
    • LeastSquaresSolver(T) Class
    • LinearAlgebraOperations Class
    • LinearOperator(T) Class
    • LQDecomposition(T) Class
    • LUDecomposition(T) Class
    • MatrixNotPositiveDefiniteException Class
    • MatrixSingularException Class
    • MatrixView(T) Class
    • NonHermitianEigenvalueDecomposition(T) Class
    • NonNegativeMatrixFactorization(T) Class
    • PermutationMatrix Class
    • PivotVector Structure
    • QLDecomposition(T) Class
    • QRDecomposition(T) Class
    • RealEigenvalueDecomposition(T) Class
    • RowCollection(T) Structure
    • RowColumnValueTriplet(T) Structure
    • RQDecomposition(T) Class
    • SingularValueDecomposition(T) Class
    • SingularValueDecompositionFactors Enumeration
    • SparseCompressedColumnMatrix(T) Class
    • SparseMatrix(T) Class
    • SparseVector(T) Class
    • SymmetricIndefiniteDecomposition(T) Class
    • SymmetricMatrix(T) Class
    • TriangularMatrix(T) Class
  • DenseVector(T) Class
    • DenseVector(T) Constructor
    • Properties
    • Methods
    • Operators and Type Conversions
  • Methods
    • AbsCore Method
    • AcosCore Method
    • AcoshCore Method
    • AddCore Method Overloads
    • AddInPlace Method Overloads
    • AddScaledAsLeftCore Method
    • AddScaledInPlace Method
    • AsDenseVector Method
    • AsinCore Method
    • AsinhCore Method
    • AtanCore Method
    • AtanhCore Method
    • BroadcastInto Method
    • CeilingCore Method
    • Clone Method Overloads
    • CloneData Method
    • ConjugateDotProduct Method
    • CopyTo Method Overloads
    • CosCore Method
    • CoshCore Method
    • CumulativeProductInto Method
    • DotProduct Method
    • ElementwiseDivideAsLeftCore Method
    • ElementwiseDivideAsRightCore Method
    • ElementwiseMultiplyCore Method
    • Equals Method Overloads
    • ExpCore Method
    • FloorCore Method
    • GetEnumerator Method
    • GetObjectData Method
    • GetSliceCore Method
    • GetValue Method Overloads
    • GetValues Method Overloads
    • GreaterThanCore Method Overloads
    • IsElementWritable Method
    • LessThanCore Method Overloads
    • LogCore Method Overloads
    • MapCore Method Overloads
    • MapInPlace Method Overloads
    • MaxIndex Method
    • Multiply Method
    • MultiplyCore Method
    • MultiplyInPlace Method Overloads
    • NormInternal Method Overloads
    • PermuteInPlace Method Overloads
    • Reshape Method
    • SetValue Method Overloads
    • SetValues Method Overloads
    • SinCore Method
    • SinhCore Method
    • SortInPlace Method Overloads
    • SqrtCore Method
    • SubtractAsLeftCore Method Overloads
    • SubtractAsRightCore Method Overloads
    • Sum Method
    • Swap Method
    • TanCore Method
    • TanhCore Method
    • ToArray Method
    • Top Method
    • TryEnsureWritable Method Overloads
  • ToArray Method

DenseVectorTToArray Method

Extreme Optimization Numerical Libraries for .NET Professional
Gets the elements of this dense vector.

Namespace:  Extreme.Mathematics.LinearAlgebra
Assembly:  Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
Syntax
C#
VB
C++
F#
Copy
public override T[] ToArray()
Public Overrides Function ToArray As T()
public:
virtual array<T>^ ToArray() override
abstract ToArray : unit -> 'T[] 
override ToArray : unit -> 'T[]

Return Value

Type: T
An array of values that contains the elements of the vector.
Remarks

This method always returns a copy of the elements.

See Also

Reference

DenseVectorT Class
Extreme.Mathematics.LinearAlgebra Namespace

Copyright (c) 2004-2021 ExoAnalytics Inc.

Send comments on this topic to support@extremeoptimization.com

Copyright © 2004-2021, 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.