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.DataAnalysis
    • Accumulator(T, U) Class
    • Aggregator(T, U) Class
    • Aggregator2(T, U) Class
    • Aggregator2Group Class
    • Aggregator2Group(T) Class
    • AggregatorGroup Class
    • AggregatorGroup(T) Class
    • Aggregators Class
    • BoundaryIntervalBehavior Enumeration
    • CategoricalEncoding Class
    • DataFrame Class
    • DataFrame(R, C) Class
    • DataFrameRow(R, C) Class
    • DateTimeExtensions Class
    • DateTimeUnit Enumeration
    • Direction Enumeration
    • Grouping Class
    • Grouping(TKey) Class
    • Histogram Class
    • Histogram(T) Class
    • IAccumulator(T, U) Interface
    • IAccumulator2(T, U) Interface
    • IAccumulator2(T, U, V) Interface
    • IAggregator Interface
    • IAggregator(T) Interface
    • IAggregator2 Interface
    • IAggregator2(T) Interface
    • IDataFrame Interface
    • IGrouping Interface
    • IIndex Interface
    • Index Class
    • Index(T) Class
    • IntervalIndex(T) Class
    • IPivot Interface
    • JoinIndex Class
    • JoinType Enumeration
    • MissingValueAction Enumeration
    • MissingValueException Class
    • MultipleMissingValueAction Enumeration
    • Parameter(T) Class
    • ParameterVector(T) Class
    • Pivot Class
    • Pivot(R, C) Class
    • RankTiebreaker Enumeration
    • Recurrence Class
    • SortOrder Enumeration
    • SpecialBins Enumeration
    • Subset Class
    • TransformedParameter(T) Class
    • TypePreservingAggregatorGroup Class
    • VectorExtensions Class
  • Index(T) Class
    • Index(T) Constructors
    • Properties
    • Methods
  • Methods
    • Append Method Overloads
    • CheckOrder Method
    • CheckUnique Method
    • Contains Method
    • CopyTo Method
    • Equals Method Overloads
    • GetEnumerator Method
    • GetObjectData Method
    • GetSlice Method Overloads
    • GetSubset Method
    • GetValue Method
    • JoinNearest Method
    • Lookup Method Overloads
    • LookupNearest Method Overloads
    • MakeJoinIndex Method
    • Nest(U) Method
    • Permute Method
    • Remove Method
    • RemoveAt Method
    • ToArray Method
    • TryLookup Method
    • TryLookupNearest Method
  • LookupNearest Method Overloads
    • LookupNearest Method (IEnumerable(T), Direction)
    • LookupNearest Method (T, Direction)
  • LookupNearest Method (IEnumerable(T), Direction)

IndexTLookupNearest Method (IEnumerableT, Direction)

Extreme Optimization Numerical Libraries for .NET Professional
Maps a sequence of keys to the position of the nearest key in the index.

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

C#
VB
C++
F#
Copy
public virtual int[] LookupNearest(
	IEnumerable<T> values,
	Direction direction
)
Public Overridable Function LookupNearest ( 
	values As IEnumerable(Of T),
	direction As Direction
) As Integer()
public:
virtual array<int>^ LookupNearest(
	IEnumerable<T>^ values, 
	Direction direction
)
abstract LookupNearest : 
        values : IEnumerable<'T> * 
        direction : Direction -> int[] 
override LookupNearest : 
        values : IEnumerable<'T> * 
        direction : Direction -> int[] 

Parameters

values
Type: System.Collections.GenericIEnumerableT
A sequence of keys to locate in the index.
direction
Type: Extreme.DataAnalysisDirection
The direction to look for the key if an exact match is not found.

Return Value

Type: Int32
An array containing the mapped position of the elements of values. If a nearest key was found in the index, then the mapped position is the zero-based position of the first occurance of the value in the index; otherwise the mapped position is -1.
See Also

Reference

IndexT Class
LookupNearest Overload
Extreme.DataAnalysis 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.