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
  • BandMatrix(T) Class
    • BandMatrix(T) Constructors
    • Properties
    • Methods
  • Methods
    • CloneData Method
    • CopyTo Method Overloads
    • EstimateConditionNumber Method
    • Extract Method Overloads
    • ExtractSymmetric Method Overloads
    • GetCholeskyDecomposition Method Overloads
    • GetColumn Method Overloads
    • GetDeterminant Method
    • GetDiagonal Method Overloads
    • GetInverse Method Overloads
    • GetLUDecomposition Method Overloads
    • GetObjectData Method
    • GetRow Method Overloads
    • GetValue Method Overloads
    • IsElementWritable Method
    • IsSingular Method
    • MultiplyInPlace Method
    • SetValue Method Overloads
    • SolveInto Method Overloads
    • ToArray Method Overloads
    • ToGeneralBandMatrix Method Overloads
  • ExtractSymmetric Method Overloads
    • ExtractSymmetric Method (Matrix(T), Int32, MatrixTriangle)
    • ExtractSymmetric Method (Matrix(T), Int32, MatrixTriangle, Intent)
  • ExtractSymmetric Method (Matrix(T), Int32, MatrixTriangle, Intent)
BandMatrixTExtractSymmetric Method (MatrixT, Int32, MatrixTriangle, Intent)Extreme Optimization Numerical Libraries for .NET Professional
Constructs a new symmetric band matrix from the components of 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
public static BandMatrix<T> ExtractSymmetric(
	Matrix<T> matrix,
	int bandwidth,
	MatrixTriangle triangleMode,
	Intent intent
)
Public Shared Function ExtractSymmetric ( 
	matrix As Matrix(Of T),
	bandwidth As Integer,
	triangleMode As MatrixTriangle,
	intent As Intent
) As BandMatrix(Of T)
public:
static BandMatrix<T>^ ExtractSymmetric(
	Matrix<T>^ matrix, 
	int bandwidth, 
	MatrixTriangle triangleMode, 
	Intent intent
)
static member ExtractSymmetric : 
        matrix : Matrix<'T> * 
        bandwidth : int * 
        triangleMode : MatrixTriangle * 
        intent : Intent -> BandMatrix<'T> 

Parameters

matrix
Type: Extreme.Mathematics.GenericMatrixT
The matrix that supplies the components.
bandwidth
Type: SystemInt32
The bandwidth of the BandMatrixT.
triangleMode
Type: Extreme.MathematicsMatrixTriangle
A MatrixTriangle value that specifies whether the components are to be taken from the upper or lower triangular part of matrix.
intent
Type: Extreme.MathematicsIntent
A Intent value that specifies the intended use of the extracted BandMatrixT.

Return Value

Type: BandMatrixT
A BandMatrixT with the same components as matrix with upper and lower bandwidth equal to bandwidth.
Version Information

Numerical Libraries

Supported in: 5.x
See Also

Reference

BandMatrixT Class
ExtractSymmetric Overload
Extreme.Mathematics.Generic.LinearAlgebra Namespace

Copyright (c) 2004-2016 ExoAnalytics Inc.

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.