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
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
    • 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.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
  • IResizableMatrix(T) Interface
    • Methods
  • Methods
    • AppendColumn Method Overloads
    • AppendColumns Method
    • AppendRow Method Overloads
    • AppendRows Method
    • DeleteColumn Method
    • DeleteColumns Method
    • DeleteRow Method
    • DeleteRows Method
    • InsertColumn Method
    • InsertColumns Method
    • InsertRow Method
    • InsertRows Method
    • ReplaceColumns Method
    • ReplaceRows Method
    • Resize Method
  • DeleteColumns Method
IResizableMatrixTDeleteColumns Method Extreme Optimization Numerical Libraries for .NET Professional
Deletes a series of columns from a matrix.

Namespace: Extreme.Mathematics.Generic.LinearAlgebra
Assembly: Extreme.Numerics.Net40 (in Extreme.Numerics.Net40.dll) Version: 6.0.16073.0 (6.0.16312.0)
Syntax
C#
VB
C++
F#
Copy
void DeleteColumns(
	int column,
	int count
)
Sub DeleteColumns ( 
	column As Integer,
	count As Integer
)
void DeleteColumns(
	int column, 
	int count
)
abstract DeleteColumns : 
        column : int * 
        count : int -> unit

Parameters

column
Type: SystemInt32
The zero-based index of the first column to delete.
count
Type: SystemInt32
The number of columns to delete.
Exceptions
ExceptionCondition
ArgumentOutOfRangeExceptioncolumn is less than zero or greater than or equal to the number of columns.

-or-

count is less than zero or greater than the number of columns from column to the end.

Remarks

The number of columns of the matrix is decreased by one.

Version Information

Numerical Libraries

Supported in: 5.x
See Also

Reference

IResizableMatrixT Interface
Extreme.Mathematics.Generic.LinearAlgebra Namespace

Copyright (c) 2004-2016 ExoAnalytics Inc.

Send comments on this topic to support@extremeoptimization.com

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.