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.Collections
    • Array1D(T) Structure
    • Array2D(T) Structure
    • ArraySlice(T) Structure
    • NativeArray1D(T) Structure
    • NativeArray2D(T) Structure
    • NativeArraySlice(T) Structure
  • ArraySlice(T) Structure
    • ArraySlice(T) Constructors
    • Properties
    • Methods
    • Operators and Type Conversions
    • Fields
  • ArraySlice(T) Constructors
    • ArraySlice(T) Constructor (T[])
    • ArraySlice(T) Constructor (Int32)
    • ArraySlice(T) Constructor (T[], Int32)
    • ArraySlice(T) Constructor (Int32, Boolean)
    • ArraySlice(T) Constructor (T[], Int32, Int32)
  • ArraySlice(T) Constructor (T[], Int32, Int32)

ArraySliceT Constructor (T, Int32, Int32)

Extreme Optimization Numerical Libraries for .NET Professional
Constructs a new array.

Namespace:  Extreme.Collections
Assembly:  Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
Syntax

C#
VB
C++
F#
Copy
public ArraySlice(
	T[] values,
	int offset,
	int stride
)
Public Sub New ( 
	values As T(),
	offset As Integer,
	stride As Integer
)
public:
ArraySlice(
	array<T>^ values, 
	int offset, 
	int stride
)
new : 
        values : 'T[] * 
        offset : int * 
        stride : int -> ArraySlice

Parameters

values
Type: T
The storage array.
offset
Type: SystemInt32
The offset of the first element in the storage array.
stride
Type: SystemInt32
The step between elements in the storage array.
Remarks

The values array is re-used. Modifying elements in the array slice will modify the elements in the original array. Conversely, if elements in the original array that correspond to elements in the array slice are modified, the elements of the array slice are modified as well.

See Also

Reference

ArraySliceT Structure
ArraySliceT Overload
Extreme.Collections 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.