• Extreme Optimization
  • Features
  • Solutions
  • Documentation
  • QuickStart Samples
  • Sample Applications
  • Downloads
  • Technical Support
  • Download trial
  • How to buy
  • Blog
  • Company
  • Resources
• Documentation
  • 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
• 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.Distributed.Cuda
  • Extreme.Mathematics.EquationSolvers
  • Extreme.Mathematics.FSharp
  • Extreme.Mathematics.Generic
  • Extreme.Mathematics.Generic.LinearAlgebra
  • Extreme.Mathematics.Generic.LinearAlgebra.Implementation
  • Extreme.Mathematics.Generic.LinearAlgebra.Providers
  • Extreme.Mathematics.Generic.SignalProcessing
  • Extreme.Mathematics.Implementation
  • Extreme.Mathematics.LinearAlgebra
  • Extreme.Mathematics.LinearAlgebra.Complex
  • Extreme.Mathematics.LinearAlgebra.Complex.Decompositions
  • Extreme.Mathematics.LinearAlgebra.Implementation
  • Extreme.Mathematics.LinearAlgebra.IO
  • Extreme.Mathematics.LinearAlgebra.IterativeSolvers
  • Extreme.Mathematics.LinearAlgebra.IterativeSolvers.Preconditioners
  • Extreme.Mathematics.LinearAlgebra.Providers
  • Extreme.Mathematics.LinearAlgebra.Sparse
  • Extreme.Mathematics.Optimization
  • Extreme.Mathematics.Optimization.Genetic
  • Extreme.Mathematics.Optimization.LineSearches
  • Extreme.Mathematics.Random
  • Extreme.Mathematics.SignalProcessing
  • Extreme.Numerics.FSharp
  • Extreme.Statistics
  • Extreme.Statistics.Distributions
  • Extreme.Statistics.IO
  • Extreme.Statistics.Linq
  • Extreme.Statistics.Multivariate
  • Extreme.Statistics.Random
  • Extreme.Statistics.Tests
  • Extreme.Statistics.TimeSeriesAnalysis
• Extreme.Mathematics.Generic.LinearAlgebra
  • BandMatrix(T) Class
  • BandVector(T) Class
  • BandVector(T).BandVectorEnumerator Structure
  • CholeskyDecomposition(T) Class
  • ColumnCollection(T) Structure
  • ComplexSingularValueDecomposition(T) 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
  • GenericKernel(T) Class
  • GenericKernel(T).Specialization Class
  • HermitianMatrix(T) Class
  • ILinearStorage(T) Interface
  • IndefiniteDecomposition(T) Class
  • IndexedVector(T) Class
  • IndexValuePair(T) Structure
  • IResizableMatrix(T) Interface
  • LinearOperator(T) Class
  • LUDecomposition(T) Class
  • MatrixView(T) Class
  • NonHermitianEigenvalueDecomposition(T) Class
  • NonsymmetricEigenvalueDecomposition(T) Class
  • QRDecomposition(T) Class
  • RowCollection(T) Structure
  • RowColumnValueTriplet(T) Structure
  • SingularValueDecomposition(T) Class
  • SparseCompressedColumnMatrix(T) Class
  • SparseMatrix(T) Class
  • SparseVector(T) Class
  • SymmetricEigenvalueDecomposition(T) Class
  • SymmetricMatrix(T) Class
  • TriangularMatrix(T) Class
• ColumnCollection(T) Structure
  • Properties
  • Methods
• Methods
  • AsParallel Method
  • CopyTo Method
  • GetEnumerator Method
  • Permute Method
  • ToArray Method

ColumnCollectionT Methods

Extreme Optimization Numerical Libraries for .NET Professional

The ColumnCollectionT generic type exposes the following members.

Methods

---

	Name	Description
	AsParallel	Returns a partitioner object suitable for enumerating over the columns in parallel.
	CopyTo	Copies the columns to an array of vectors.
	Equals	Indicates whether this instance and a specified object are equal. (Inherited from ValueType.)
	GetEnumerator	Returns an enumerator for this ColumnCollectionT.
	GetHashCode	Returns the hash code for this instance. (Inherited from ValueType.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	Permute	Permutes the columns.
	ToArray	Returns the columns in an array.
	ToString	Returns the fully qualified type name of this instance. (Inherited from ValueType.)

Top

Extension Methods

---

	Name	Description
	GroupVectorT	Overloaded. Returns a grouping by the unique elements in a sequence. (Defined by Grouping.)
	GroupVectorT(IEqualityComparerVectorT)	Overloaded. Returns a grouping by the unique elements in a sequence using the specified comparer to determine equality. (Defined by Grouping.)
	SumVectorT	Overloaded. Computes the sum of the sequence of values. (Defined by ArrayMath.)
	SumVectorT, U(FuncVectorT, U)	Overloaded. Computes the sum of the sequence of values that are obtained by invoking a transform function on each element of the input sequence. (Defined by ArrayMath.)

Top

See Also

---

Reference

ColumnCollectionT Structure

Extreme.Mathematics.Generic.LinearAlgebra Namespace

Copyright © 2004-20116, 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.