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.Curves
    • BarycentricBasis Class
    • BarycentricSeries Class
    • ChebyshevBasis Class
    • ChebyshevSeries Class
    • CubicSpline Class
    • CubicSplineKind Enumeration
    • Curve Class
    • CurveFitter Class
    • FunctionBasis Class
    • GeneralCurve Class
    • GeneralFunctionBasis Class
    • LinearCombination Class
    • LinearCurveFitter Class
    • LinearLeastSquaresMethod Enumeration
    • NonlinearCurve Class
    • NonlinearCurveFitter Class
    • NonlinearCurveFitter(T) Class
    • NonlinearCurveFittingMethod Enumeration
    • PiecewiseConstantCurve Class
    • PiecewiseCurve Class
    • PiecewiseLinearCurve Class
    • Point Structure
    • Polynomial Class
    • PolynomialBase Class
    • PolynomialBasis Class
    • WeightFunctions Class
  • LinearCombination Class
    • LinearCombination Constructors
    • Properties
    • Methods
  • Methods
    • Add Method Overloads
    • Divide Method
    • GetCurveFitter Method
    • Multiply Method
    • Negate Method
    • SlopeAt Method
    • Subtract Method Overloads
    • ValueAt Method
  • ValueAt Method

LinearCombinationValueAt Method

Extreme Optimization Numerical Libraries for .NET Professional
Gets the Y-value of the curve at the specified X-coordinate.

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

C#
VB
C++
F#
Copy
public override double ValueAt(
	double x
)
Public Overrides Function ValueAt ( 
	x As Double
) As Double
public:
virtual double ValueAt(
	double x
) override
abstract ValueAt : 
        x : float -> float 
override ValueAt : 
        x : float -> float 

Parameters

x
Type: SystemDouble
A real number.

Return Value

Type: Double
The Y-value of the curve at the specified X-coordinate.
See Also

Reference

LinearCombination Class
Extreme.Mathematics.Curves 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.