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VB MATRIX EXAMPLE
VB Matrix Example. Imports System Imports CenterSpace.NMath.Core Imports Range = CenterSpace.NMath.Core.Range Namespace CenterSpace.NMath.Core.Examples.VisualBasic ' A .NET example in Visual Basic showing some of the basic functionality of the matrix classes. C# ONE WAY ANOVA EXAMPLE Class OneWayAnova will accept data in // several formats. The one below uses an array of DoubleVectors. Each // vector in the array contains the data for a group. var table = new DoubleVector ; table = new DoubleVector ( " " ); table = new DoubleVector ( " " ); table = new DoubleVector (" [11
C# SIMPLE LINEAR REGRESSION EXAMPLE StreamReader dataStream = new StreamReader ( "SimpleLinearRegressionExample.dat" ); // First read in the independent (or predictor) values. This is a matrix // with one column and a row for each amounts measurement. var amounts = new DoubleMatrix ( dataStream ); // Next, read in the responses. These are the readings of the gas // chromatograph VB INTEGRATION EXAMPLE VB Integration Example. Imports System Imports CenterSpace.NMath.Core Namespace CenterSpace.NMath.Core.Examples.VisualBasic ' A .NET example in Visual Basic showing how to create integrator objects for greater control ' over how numerical integration is performed. Module IntegrationExample Private Function MyFunction (ByVal X As Double) As C# BINARY SERIALIZATION EXAMPLE C# Binary Serialization Example. ← All NMath Code Examples. using System; using System.IO; using System.Runtime.Serialization.Formatters.Binary; using CenterSpace.NMath.Core ; namespace CenterSpace.NMath.Core.Examples.CSharp { /// /// A .NET example in C# showing how to serialize and deserialize an NMath object /// in binaryformat
VB MULTI VARIABLE CURVE FITTING EXAMPLE First we generate ' 50 random x,y points in range (0,10). XYValues = New DoubleMatrix (50, 2, New RandGenUniform (0, 10)) ' The target solution. Dim Target As New DoubleVector ("1 2 3") ' When calculating the z values, we add some noise, so the points ' don't lie exactly on the target surface. ZValues = New DoubleVector (50) Dim Rnd As New NMATH - 14.3 SAVITZKY-GOLAY PEAK FINDING (.NET, C#, CSHARP NMath User's Guide. 14.3 Savitzky-Golay Peak Finding (.NET, C#, CSharp, VB, Visual Basic, F#) Class PeakFinderSavitzkyGolay uses smooth Savitzky-Golay derivatives to find peaks in data. A peak is defined as a smoothed derivative zero crossing. PeakFinderSavitzkyGolay extends PeakFinderBase, the abstract base class for all peak finding VB RUNGE KUTTA SOLVER EXAMPLE The default value is ' 4. Here we set the Refine value to 1, meaning we do not wish any ' additional output points to be added by the solver. Dim SolverOptions As New RungeKutta45OdeSolver .Options () SolverOptions.AbsoluteTolerance = New DoubleVector (0.0001, 0.0001, 0.00001) SolverOptions.RelativeTolerance = 0.0001 SolverOptions.Refine= 1
NMATH - 1.6 BUILDING AND DEPLOYING NMATH APPLICATIONS NMath User's Guide. 1.6 Building and Deploying NMath Applications (.NET, C#, CSharp, VB, Visual Basic, F#) To use NMath types in your application, add a reference to NMath.dll . The search order is the same as for the common language runtime: first the GAC is searched, then the directory containing the currently executing assembly, and soon.
CORRELATIONFILTER.FILTER METHOD via correlation with the filter coefficients. Filter(DoubleVector, DoubleVector): Filters theVB MATRIX EXAMPLE
VB Matrix Example. Imports System Imports CenterSpace.NMath.Core Imports Range = CenterSpace.NMath.Core.Range Namespace CenterSpace.NMath.Core.Examples.VisualBasic ' A .NET example in Visual Basic showing some of the basic functionality of the matrix classes. C# ONE WAY ANOVA EXAMPLE Class OneWayAnova will accept data in // several formats. The one below uses an array of DoubleVectors. Each // vector in the array contains the data for a group. var table = new DoubleVector ; table = new DoubleVector ( " " ); table = new DoubleVector ( " " ); table = new DoubleVector (" [11
C# SIMPLE LINEAR REGRESSION EXAMPLE StreamReader dataStream = new StreamReader ( "SimpleLinearRegressionExample.dat" ); // First read in the independent (or predictor) values. This is a matrix // with one column and a row for each amounts measurement. var amounts = new DoubleMatrix ( dataStream ); // Next, read in the responses. These are the readings of the gas // chromatograph VB INTEGRATION EXAMPLE VB Integration Example. Imports System Imports CenterSpace.NMath.Core Namespace CenterSpace.NMath.Core.Examples.VisualBasic ' A .NET example in Visual Basic showing how to create integrator objects for greater control ' over how numerical integration is performed. Module IntegrationExample Private Function MyFunction (ByVal X As Double) As C# BINARY SERIALIZATION EXAMPLE C# Binary Serialization Example. ← All NMath Code Examples. using System; using System.IO; using System.Runtime.Serialization.Formatters.Binary; using CenterSpace.NMath.Core ; namespace CenterSpace.NMath.Core.Examples.CSharp { /// /// A .NET example in C# showing how to serialize and deserialize an NMath object /// in binaryformat
VB MULTI VARIABLE CURVE FITTING EXAMPLE First we generate ' 50 random x,y points in range (0,10). XYValues = New DoubleMatrix (50, 2, New RandGenUniform (0, 10)) ' The target solution. Dim Target As New DoubleVector ("1 2 3") ' When calculating the z values, we add some noise, so the points ' don't lie exactly on the target surface. ZValues = New DoubleVector (50) Dim Rnd As New NMATH - 14.3 SAVITZKY-GOLAY PEAK FINDING (.NET, C#, CSHARP NMath User's Guide. 14.3 Savitzky-Golay Peak Finding (.NET, C#, CSharp, VB, Visual Basic, F#) Class PeakFinderSavitzkyGolay uses smooth Savitzky-Golay derivatives to find peaks in data. A peak is defined as a smoothed derivative zero crossing. PeakFinderSavitzkyGolay extends PeakFinderBase, the abstract base class for all peak finding VB RUNGE KUTTA SOLVER EXAMPLE The default value is ' 4. Here we set the Refine value to 1, meaning we do not wish any ' additional output points to be added by the solver. Dim SolverOptions As New RungeKutta45OdeSolver .Options () SolverOptions.AbsoluteTolerance = New DoubleVector (0.0001, 0.0001, 0.00001) SolverOptions.RelativeTolerance = 0.0001 SolverOptions.Refine= 1
NMATH - 1.6 BUILDING AND DEPLOYING NMATH APPLICATIONS NMath User's Guide. 1.6 Building and Deploying NMath Applications (.NET, C#, CSharp, VB, Visual Basic, F#) To use NMath types in your application, add a reference to NMath.dll . The search order is the same as for the common language runtime: first the GAC is searched, then the directory containing the currently executing assembly, and soon.
CORRELATIONFILTER.FILTER METHOD via correlation with the filter coefficients. Filter(DoubleVector, DoubleVector): Filters the C# INTEGRATION EXAMPLE ← All NMath Code Examples . using System; using CenterSpace.NMath.Core; namespace CenterSpace.NMath.Core.Examples.CSharp { /// /// A .NET example in C# showing how to create integrator objects for greater control /// over how numerical integration is performed./// class IntegrationExample { static double MyFunction( double x ) { return Math.Sqrt( x ); } C# SIMPLE LINEAR REGRESSION EXAMPLE StreamReader dataStream = new StreamReader ( "SimpleLinearRegressionExample.dat" ); // First read in the independent (or predictor) values. This is a matrix // with one column and a row for each amounts measurement. var amounts = new DoubleMatrix ( dataStream ); // Next, read in the responses. These are the readings of the gas // chromatographC# CLUSTER EXAMPLE
C# Cluster Example. using System; using CenterSpace.NMath.Core ; using CenterSpace.NMath.Stats ; namespace CenterSpace.NMath.Stats.Examples.CSharp { /// /// A .NET example in C# showing how to perform a hierarchical cluster analysis on a data set. /// public class ClusterExample { static void Main ( string args C# PROBABILITY DISTRIBUTION EXAMPLE ← All NMath Stats Code Examples . using System; using CenterSpace.NMath.Core; using CenterSpace.NMath.Stats; namespace ProbabilityDistributionExample { /// /// A .NET example in C# showing how to use the probability distribution classes./// /// /// NMath Stats provides classes for computing the probability density /// function (PDF), the cumulative VB INTEGRATION EXAMPLE VB Integration Example. Imports System Imports CenterSpace.NMath.Core Namespace CenterSpace.NMath.Core.Examples.VisualBasic ' A .NET example in Visual Basic showing how to create integrator objects for greater control ' over how numerical integration is performed. Module IntegrationExample Private Function MyFunction (ByVal X As Double) As C# BINARY SERIALIZATION EXAMPLE C# Binary Serialization Example. ← All NMath Code Examples. using System; using System.IO; using System.Runtime.Serialization.Formatters.Binary; using CenterSpace.NMath.Core ; namespace CenterSpace.NMath.Core.Examples.CSharp { /// /// A .NET example in C# showing how to serialize and deserialize an NMath object /// in binaryformat
DOUBLELOWERTRIMATRIX.DIVIDE METHOD (DOUBLELOWERTRIMATRIX Divide a lower triangular matrix by another. Exception Condition; MismatchedSizeException: Thrown if the two matrices do not have thesame dimensions.
TRUSTREGIONMINIMIZER PROPERTIES Gets and sets the initial step bound. In most cases this should be between 0.1 and 100.0. NMATHFUNCTIONS.SINH METHOD (FLOATMATRIX) Creates a new matrix with the same dimensions as a given matrix, whose values are the result of applying the hyperbolic sine function to each element of the matrix. DOUBLEBANDFACT CLASS Gets a boolean value which is true if the matrix factorization succeeded and the factorization may be used to solve equations, compute determinants, inverses, and so on; otherwise false.VB MATRIX EXAMPLE
← All NMath Code Examples . Imports System Imports CenterSpace.NMath.Core Imports Range = CenterSpace.NMath.Core.Range Namespace CenterSpace.NMath.Core.Examples C# PROBABILITY DISTRIBUTION EXAMPLE ← All NMath Stats Code Examples . using System; using CenterSpace.NMath.Core; using CenterSpace.NMath.Stats; namespace ProbabilityDistributionExample { /// /// A .NET example in C# showing how to use the probability distribution classes./// /// /// NMath Stats provides classes for computing the probability density /// function (PDF), the cumulative VB INTEGRATION EXAMPLE ← All NMath Code Examples . Imports System Imports CenterSpace.NMath.Core Namespace CenterSpace.NMath.Core.Examples.VisualBasic ' A .NET example in Visual Basic showing how to create integrator objects for greater control ' over how numerical integration is performed. Module IntegrationExample Private Function MyFunction(ByVal X As Double) As Double ReturnMath.Sqrt(X)
C# ONE WAY ANOVA EXAMPLE ← All NMath Stats Code Examples . using System; using System.Windows.Forms; using System.Data; using System.Globalization; using CenterSpace.NMath.Core; using CenterSpace.NMath.Stats; namespace CenterSpace.NMath.Stats.Examples.CSharp { /// /// A .NET example in C# showing how use class OneWayAnova to perform a simple one-way /// ANOVA and display the results. C# SIMPLE LINEAR REGRESSION EXAMPLE ← All NMath Stats Code Examples . using System; using System.IO; using CenterSpace.NMath.Core; using CenterSpace.NMath.Stats; namespace CenterSpace.NMath.Stats.Examples.CSharp { /// /// A .NET example in C# showing how to use the linear regression class to perform a simple /// linear regression./// /// A simple linear regression fits a straightline through a
C# BINARY SERIALIZATION EXAMPLE Example showing how to serialize and deserialize an NMath Core objectin binary format.
VB MULTI VARIABLE CURVE FITTING EXAMPLE Example showing how to fit a generalized multivariable function to aset of points.
NMATH - 14.3 SAVITZKY-GOLAY PEAK FINDING (.NET, C#, CSHARP TOC | Previous | Next | Index. 14.3 Savitzky-Golay Peak Finding (.NET, C#, CSharp, VB, Visual Basic, F#). Class PeakFinderSavitzkyGolay uses smooth Savitzky-Golay derivatives to find peaks in data. A peak is defined as a smoothed derivative zero crossing.. PeakFinderSavitzkyGolay extends PeakFinderBase, the abstract base class for all peak finding algorithms, and an enumerable collection of NMATH - 1.6 BUILDING AND DEPLOYING NMATH APPLICATIONS TOC | Previous | Next | Index. 1.6 Building and Deploying NMath Applications (.NET, C#, CSharp, VB, Visual Basic, F#). To use NMath types in your application, add a reference to NMath.dll.The search order is the same as for the common language runtime: first the GAC is searched, then the directory containing the currently executing assembly, and so on. CORRELATIONFILTER.FILTER METHOD via correlation with the filter coefficients. Filter(DoubleVector, DoubleVector): Filters theVB MATRIX EXAMPLE
← All NMath Code Examples . Imports System Imports CenterSpace.NMath.Core Imports Range = CenterSpace.NMath.Core.Range Namespace CenterSpace.NMath.Core.Examples C# PROBABILITY DISTRIBUTION EXAMPLE ← All NMath Stats Code Examples . using System; using CenterSpace.NMath.Core; using CenterSpace.NMath.Stats; namespace ProbabilityDistributionExample { /// /// A .NET example in C# showing how to use the probability distribution classes./// /// /// NMath Stats provides classes for computing the probability density /// function (PDF), the cumulative VB INTEGRATION EXAMPLE ← All NMath Code Examples . Imports System Imports CenterSpace.NMath.Core Namespace CenterSpace.NMath.Core.Examples.VisualBasic ' A .NET example in Visual Basic showing how to create integrator objects for greater control ' over how numerical integration is performed. Module IntegrationExample Private Function MyFunction(ByVal X As Double) As Double ReturnMath.Sqrt(X)
C# ONE WAY ANOVA EXAMPLE ← All NMath Stats Code Examples . using System; using System.Windows.Forms; using System.Data; using System.Globalization; using CenterSpace.NMath.Core; using CenterSpace.NMath.Stats; namespace CenterSpace.NMath.Stats.Examples.CSharp { /// /// A .NET example in C# showing how use class OneWayAnova to perform a simple one-way /// ANOVA and display the results. C# SIMPLE LINEAR REGRESSION EXAMPLE ← All NMath Stats Code Examples . using System; using System.IO; using CenterSpace.NMath.Core; using CenterSpace.NMath.Stats; namespace CenterSpace.NMath.Stats.Examples.CSharp { /// /// A .NET example in C# showing how to use the linear regression class to perform a simple /// linear regression./// /// A simple linear regression fits a straightline through a
C# BINARY SERIALIZATION EXAMPLE Example showing how to serialize and deserialize an NMath Core objectin binary format.
VB MULTI VARIABLE CURVE FITTING EXAMPLE Example showing how to fit a generalized multivariable function to aset of points.
NMATH - 14.3 SAVITZKY-GOLAY PEAK FINDING (.NET, C#, CSHARP TOC | Previous | Next | Index. 14.3 Savitzky-Golay Peak Finding (.NET, C#, CSharp, VB, Visual Basic, F#). Class PeakFinderSavitzkyGolay uses smooth Savitzky-Golay derivatives to find peaks in data. A peak is defined as a smoothed derivative zero crossing.. PeakFinderSavitzkyGolay extends PeakFinderBase, the abstract base class for all peak finding algorithms, and an enumerable collection of NMATH - 1.6 BUILDING AND DEPLOYING NMATH APPLICATIONS TOC | Previous | Next | Index. 1.6 Building and Deploying NMath Applications (.NET, C#, CSharp, VB, Visual Basic, F#). To use NMath types in your application, add a reference to NMath.dll.The search order is the same as for the common language runtime: first the GAC is searched, then the directory containing the currently executing assembly, and so on. CORRELATIONFILTER.FILTER METHOD via correlation with the filter coefficients. Filter(DoubleVector, DoubleVector): Filters the C# INTEGRATION EXAMPLE ← All NMath Code Examples . using System; using CenterSpace.NMath.Core; namespace CenterSpace.NMath.Core.Examples.CSharp { /// /// A .NET example in C# showing how to create integrator objects for greater control /// over how numerical integration is performed./// class IntegrationExample { static double MyFunction( double x ) { return Math.Sqrt( x ); } C# PROBABILITY DISTRIBUTION EXAMPLE ← All NMath Stats Code Examples . using System; using CenterSpace.NMath.Core; using CenterSpace.NMath.Stats; namespace ProbabilityDistributionExample { /// /// A .NET example in C# showing how to use the probability distribution classes./// /// /// NMath Stats provides classes for computing the probability density /// function (PDF), the cumulative C# BASIC GPU EXAMPLE Example showing how to automatically route computations to the GPU. DOUBLEBANDFACT CLASS Gets a boolean value which is true if the matrix factorization succeeded and the factorization may be used to solve equations, compute determinants, inverses, and so on; otherwise false. TWOWAYANOVATYPEI CLASS Class for performing a Type I ANOVA on unbalanced data. See the description of the base class TwoWayAnovaUnbalanced for a description of the notation. Type I, also called "sequential" sum of squares: SS(A) for factor A. SS(B | A) for factor B. ONESAMPLEZTEST CLASS Class OneSampleZTest compares a single sample mean to an expected mean from a normal distribution with known standard deviation. MATRIXFUNCTIONS.PRODUCT METHOD (DOUBLELOWERTRIMATRIX Returns the inner product (matrix-vector product) of a lower triangular matrix and a vector. MATRIXFUNCTIONS.PRODUCT METHOD (DOUBLECOMPLEXVECTOR Returns the inner product (matrix-vector product) of a vector and an Hermitian banded matrix. NMATHFUNCTIONS.SINH METHOD (FLOATMATRIX) Creates a new matrix with the same dimensions as a given matrix, whose values are the result of applying the hyperbolic sine function to each element of the matrix. MATRIXFUNCTIONS.CONDITIONNUMBER METHOD (DOUBLEBANDMATRIX Computes an estimate of the reciprocal of the condition number of a given matrix in the specified norm type. NMATH - CENTERSPACENMATH OVERVIEWLICENSE AGREEMENTTESTIMONIALSCODE EXAMPLESBENCHMARKSCONTACT US Summary of NMath Features. Basic Math. Single- and double-precision complex number classes. Random number generators for various probability distributions, independent streams of random numbers using skip-ahead and leapfrog methods, and quasirandom sequences using Niederreiter and Sobol methods.; Fast Fourier Transforms (FFTs), Wavelets, and linear convolution and correlation.C# CLUSTER EXAMPLE
C# Cluster Example. using System; using CenterSpace.NMath.Core ; using CenterSpace.NMath.Stats ; namespace CenterSpace.NMath.Stats.Examples.CSharp { /// /// A .NET example in C# showing how to perform a hierarchical cluster analysis on a data set. /// public class ClusterExample { static void Main ( string args C# PROBABILITY DISTRIBUTION EXAMPLE ← All NMath Stats Code Examples . using System; using CenterSpace.NMath.Core; using CenterSpace.NMath.Stats; namespace ProbabilityDistributionExample { /// /// A .NET example in C# showing how to use the probability distribution classes./// /// /// NMath Stats provides classes for computing the probability density /// function (PDF), the cumulative C# LINEAR PROGRAMMING EXAMPLE Example showing how to solve a linear programming (LP) problem. ← All NMath Code Examples . using System; using CenterSpace.NMath.Core; using CenterSpace.NMath.Analysis; namespace CenterSpace.NMath.Analysis.Examples.CSharp { class LinearProgrammingExample { /// /// A .NET example in C# showing how to solve a linear system using linear programming and /// the primal C# BINARY SERIALIZATION EXAMPLE C# Binary Serialization Example. ← All NMath Code Examples. using System; using System.IO; using System.Runtime.Serialization.Formatters.Binary; using CenterSpace.NMath.Core ; namespace CenterSpace.NMath.Core.Examples.CSharp { /// /// A .NET example in C# showing how to serialize and deserialize an NMath object /// in binaryformat
C# SIMPLE LINEAR REGRESSION EXAMPLE StreamReader dataStream = new StreamReader ( "SimpleLinearRegressionExample.dat" ); // First read in the independent (or predictor) values. This is a matrix // with one column and a row for each amounts measurement. var amounts = new DoubleMatrix ( dataStream ); // Next, read in the responses. These are the readings of the gas // chromatograph CORRELATIONFILTER.FILTER METHOD via correlation with the filter coefficients. Filter(DoubleVector, DoubleVector): Filters the NMATH - 14.3 SAVITZKY-GOLAY PEAK FINDING (.NET, C#, CSHARP NMath User's Guide. 14.3 Savitzky-Golay Peak Finding (.NET, C#, CSharp, VB, Visual Basic, F#) Class PeakFinderSavitzkyGolay uses smooth Savitzky-Golay derivatives to find peaks in data. A peak is defined as a smoothed derivative zero crossing. PeakFinderSavitzkyGolay extends PeakFinderBase, the abstract base class for all peak finding NMATH - 6.7 FUNCTIONS OF MATRICES (.NET, C#, CSHARP, VB NMath extends standard transcendental functions Exp () , Log (), Log10 () , and Sqrt () to take matrix arguments. Class NMathFunctions provides these functions as static methods; each takes a single matrix as an argument and return a matrix as a result. For example, this code creates a matrix whose elements are the square root of the elements NMATH - 1.6 BUILDING AND DEPLOYING NMATH APPLICATIONS NMath User's Guide. 1.6 Building and Deploying NMath Applications (.NET, C#, CSharp, VB, Visual Basic, F#) To use NMath types in your application, add a reference to NMath.dll . The search order is the same as for the common language runtime: first the GAC is searched, then the directory containing the currently executing assembly, and soon.
NMATH - CENTERSPACENMATH OVERVIEWLICENSE AGREEMENTTESTIMONIALSCODE EXAMPLESBENCHMARKSCONTACT US Summary of NMath Features. Basic Math. Single- and double-precision complex number classes. Random number generators for various probability distributions, independent streams of random numbers using skip-ahead and leapfrog methods, and quasirandom sequences using Niederreiter and Sobol methods.; Fast Fourier Transforms (FFTs), Wavelets, and linear convolution and correlation.C# CLUSTER EXAMPLE
C# Cluster Example. using System; using CenterSpace.NMath.Core ; using CenterSpace.NMath.Stats ; namespace CenterSpace.NMath.Stats.Examples.CSharp { /// /// A .NET example in C# showing how to perform a hierarchical cluster analysis on a data set. /// public class ClusterExample { static void Main ( string args C# PROBABILITY DISTRIBUTION EXAMPLE ← All NMath Stats Code Examples . using System; using CenterSpace.NMath.Core; using CenterSpace.NMath.Stats; namespace ProbabilityDistributionExample { /// /// A .NET example in C# showing how to use the probability distribution classes./// /// /// NMath Stats provides classes for computing the probability density /// function (PDF), the cumulative C# LINEAR PROGRAMMING EXAMPLE Example showing how to solve a linear programming (LP) problem. ← All NMath Code Examples . using System; using CenterSpace.NMath.Core; using CenterSpace.NMath.Analysis; namespace CenterSpace.NMath.Analysis.Examples.CSharp { class LinearProgrammingExample { /// /// A .NET example in C# showing how to solve a linear system using linear programming and /// the primal C# BINARY SERIALIZATION EXAMPLE C# Binary Serialization Example. ← All NMath Code Examples. using System; using System.IO; using System.Runtime.Serialization.Formatters.Binary; using CenterSpace.NMath.Core ; namespace CenterSpace.NMath.Core.Examples.CSharp { /// /// A .NET example in C# showing how to serialize and deserialize an NMath object /// in binaryformat
C# SIMPLE LINEAR REGRESSION EXAMPLE StreamReader dataStream = new StreamReader ( "SimpleLinearRegressionExample.dat" ); // First read in the independent (or predictor) values. This is a matrix // with one column and a row for each amounts measurement. var amounts = new DoubleMatrix ( dataStream ); // Next, read in the responses. These are the readings of the gas // chromatograph CORRELATIONFILTER.FILTER METHOD via correlation with the filter coefficients. Filter(DoubleVector, DoubleVector): Filters the NMATH - 14.3 SAVITZKY-GOLAY PEAK FINDING (.NET, C#, CSHARP NMath User's Guide. 14.3 Savitzky-Golay Peak Finding (.NET, C#, CSharp, VB, Visual Basic, F#) Class PeakFinderSavitzkyGolay uses smooth Savitzky-Golay derivatives to find peaks in data. A peak is defined as a smoothed derivative zero crossing. PeakFinderSavitzkyGolay extends PeakFinderBase, the abstract base class for all peak finding NMATH - 6.7 FUNCTIONS OF MATRICES (.NET, C#, CSHARP, VB NMath extends standard transcendental functions Exp () , Log (), Log10 () , and Sqrt () to take matrix arguments. Class NMathFunctions provides these functions as static methods; each takes a single matrix as an argument and return a matrix as a result. For example, this code creates a matrix whose elements are the square root of the elements NMATH - 1.6 BUILDING AND DEPLOYING NMATH APPLICATIONS NMath User's Guide. 1.6 Building and Deploying NMath Applications (.NET, C#, CSharp, VB, Visual Basic, F#) To use NMath types in your application, add a reference to NMath.dll . The search order is the same as for the common language runtime: first the GAC is searched, then the directory containing the currently executing assembly, and soon.
C# INTEGRATION EXAMPLE ← All NMath Code Examples . using System; using CenterSpace.NMath.Core; namespace CenterSpace.NMath.Core.Examples.CSharp { /// /// A .NET example in C# showing how to create integrator objects for greater control /// over how numerical integration is performed./// class IntegrationExample { static double MyFunction( double x ) { return Math.Sqrt( x ); } C# PROBABILITY DISTRIBUTION EXAMPLE ← All NMath Stats Code Examples . using System; using CenterSpace.NMath.Core; using CenterSpace.NMath.Stats; namespace ProbabilityDistributionExample { /// /// A .NET example in C# showing how to use the probability distribution classes./// /// /// NMath Stats provides classes for computing the probability density /// function (PDF), the cumulative C# LINEAR PROGRAMMING EXAMPLE Example showing how to solve a linear programming (LP) problem. ← All NMath Code Examples . using System; using CenterSpace.NMath.Core; using CenterSpace.NMath.Analysis; namespace CenterSpace.NMath.Analysis.Examples.CSharp { class LinearProgrammingExample { /// /// A .NET example in C# showing how to solve a linear system using linear programming and /// the primalNMATH CONFIGURATION
Beginning with the release of NMath 5.2 and NMath Stats 3.5, NMath includes a new configuration system for controlling the loading of the NMath license key, kernel assembly, and native library. Based on customer feedback, we've designed this system to provide greater flexibility and security at deployment, and greater convenience in group development environments. We've also added optional HIGH PERFORMANCE NUMERICS IN C# Recently a programmer on stackoverflow commented that the performance of NMath was “really amazing” and was wondering how we achieved that performance in the context of the .NET/C# framework/language pair. This blog post discusses how CenterSpace achieves such great performance in this memory managed framework. A future post will discuss where we are looking toVB MATRIX EXAMPLE
VB Matrix Example. Imports System Imports CenterSpace.NMath.Core Imports Range = CenterSpace.NMath.Core.Range Namespace CenterSpace.NMath.Core.Examples.VisualBasic ' A .NET example in Visual Basic showing some of the basic functionality of the matrix classes. C# BASIC GPU EXAMPLE Note that dgemm is the LAPACK name for matrix multiplication. // // Time tid Device# Function Device Used Reason // 2014-03-04 01:18:53.210 PM 1 0 dgemm CPU Below threshold; 100x100 = 10000 < 490000 (crossover 700) // 2014-03-04 01:18:53.311 PM 1 0 dgemm GPU Above threshold; 1400x1400 = 1960000 >= 490000 (crossover 700)Console.WriteLine
SETTING THE NMATH LICENSE KEY NMath license information is stored in a license key which must be found at runtime. When you purchase one or more developer seats of NMath, you will be issued a license key describing the terms of your license.. If no license key is found at runtime, a default evaluation license key is used which provides a free 30-day evaluation period for NMath on the current machine. BUTTERWORTH FILTERS IN C# There are three classes of widely used IIR (recursive) filters in signal processing: Butterworth, Chebyshev, and elliptical. In this article I will discuss the Butterworth filter and provide example code implementing and using the filter. NMATH PREMIUM: GPU-ACCELERATED MATH LIBRARIES FOR GPU Tuning 5 GPU Tuning Math Premium is pre-tuned to work reasonably well for common hardware. Larger problems are routed to the GPU, where there's typically a speed advantage, while smaller problems are retained on the CPU. NMATH - CENTERSPACENMATH OVERVIEWLICENSE AGREEMENTTESTIMONIALSCODE EXAMPLESBENCHMARKSCONTACT US Summary of NMath Features. Basic Math. Single- and double-precision complex number classes. Random number generators for various probability distributions, independent streams of random numbers using skip-ahead and leapfrog methods, and quasirandom sequences using Niederreiter and Sobol methods.; Fast Fourier Transforms (FFTs), Wavelets, and linear convolution and correlation.C# CLUSTER EXAMPLE
C# Cluster Example. using System; using CenterSpace.NMath.Core ; using CenterSpace.NMath.Stats ; namespace CenterSpace.NMath.Stats.Examples.CSharp { /// /// A .NET example in C# showing how to perform a hierarchical cluster analysis on a data set. /// public class ClusterExample { static void Main ( string args C# PROBABILITY DISTRIBUTION EXAMPLE ← All NMath Stats Code Examples . using System; using CenterSpace.NMath.Core; using CenterSpace.NMath.Stats; namespace ProbabilityDistributionExample { /// /// A .NET example in C# showing how to use the probability distribution classes./// /// /// NMath Stats provides classes for computing the probability density /// function (PDF), the cumulative C# LINEAR PROGRAMMING EXAMPLE Example showing how to solve a linear programming (LP) problem. ← All NMath Code Examples . using System; using CenterSpace.NMath.Core; using CenterSpace.NMath.Analysis; namespace CenterSpace.NMath.Analysis.Examples.CSharp { class LinearProgrammingExample { /// /// A .NET example in C# showing how to solve a linear system using linear programming and /// the primal C# BINARY SERIALIZATION EXAMPLE C# Binary Serialization Example. ← All NMath Code Examples. using System; using System.IO; using System.Runtime.Serialization.Formatters.Binary; using CenterSpace.NMath.Core ; namespace CenterSpace.NMath.Core.Examples.CSharp { /// /// A .NET example in C# showing how to serialize and deserialize an NMath object /// in binaryformat
C# SIMPLE LINEAR REGRESSION EXAMPLE StreamReader dataStream = new StreamReader ( "SimpleLinearRegressionExample.dat" ); // First read in the independent (or predictor) values. This is a matrix // with one column and a row for each amounts measurement. var amounts = new DoubleMatrix ( dataStream ); // Next, read in the responses. These are the readings of the gas // chromatograph CORRELATIONFILTER.FILTER METHOD via correlation with the filter coefficients. Filter(DoubleVector, DoubleVector): Filters the NMATH - 14.3 SAVITZKY-GOLAY PEAK FINDING (.NET, C#, CSHARP NMath User's Guide. 14.3 Savitzky-Golay Peak Finding (.NET, C#, CSharp, VB, Visual Basic, F#) Class PeakFinderSavitzkyGolay uses smooth Savitzky-Golay derivatives to find peaks in data. A peak is defined as a smoothed derivative zero crossing. PeakFinderSavitzkyGolay extends PeakFinderBase, the abstract base class for all peak finding NMATH - 6.7 FUNCTIONS OF MATRICES (.NET, C#, CSHARP, VB NMath extends standard transcendental functions Exp () , Log (), Log10 () , and Sqrt () to take matrix arguments. Class NMathFunctions provides these functions as static methods; each takes a single matrix as an argument and return a matrix as a result. For example, this code creates a matrix whose elements are the square root of the elements NMATH - 1.6 BUILDING AND DEPLOYING NMATH APPLICATIONS NMath User's Guide. 1.6 Building and Deploying NMath Applications (.NET, C#, CSharp, VB, Visual Basic, F#) To use NMath types in your application, add a reference to NMath.dll . The search order is the same as for the common language runtime: first the GAC is searched, then the directory containing the currently executing assembly, and soon.
NMATH - CENTERSPACENMATH OVERVIEWLICENSE AGREEMENTTESTIMONIALSCODE EXAMPLESBENCHMARKSCONTACT US Summary of NMath Features. Basic Math. Single- and double-precision complex number classes. Random number generators for various probability distributions, independent streams of random numbers using skip-ahead and leapfrog methods, and quasirandom sequences using Niederreiter and Sobol methods.; Fast Fourier Transforms (FFTs), Wavelets, and linear convolution and correlation.C# CLUSTER EXAMPLE
C# Cluster Example. using System; using CenterSpace.NMath.Core ; using CenterSpace.NMath.Stats ; namespace CenterSpace.NMath.Stats.Examples.CSharp { /// /// A .NET example in C# showing how to perform a hierarchical cluster analysis on a data set. /// public class ClusterExample { static void Main ( string args C# PROBABILITY DISTRIBUTION EXAMPLE ← All NMath Stats Code Examples . using System; using CenterSpace.NMath.Core; using CenterSpace.NMath.Stats; namespace ProbabilityDistributionExample { /// /// A .NET example in C# showing how to use the probability distribution classes./// /// /// NMath Stats provides classes for computing the probability density /// function (PDF), the cumulative C# LINEAR PROGRAMMING EXAMPLE Example showing how to solve a linear programming (LP) problem. ← All NMath Code Examples . using System; using CenterSpace.NMath.Core; using CenterSpace.NMath.Analysis; namespace CenterSpace.NMath.Analysis.Examples.CSharp { class LinearProgrammingExample { /// /// A .NET example in C# showing how to solve a linear system using linear programming and /// the primal C# BINARY SERIALIZATION EXAMPLE C# Binary Serialization Example. ← All NMath Code Examples. using System; using System.IO; using System.Runtime.Serialization.Formatters.Binary; using CenterSpace.NMath.Core ; namespace CenterSpace.NMath.Core.Examples.CSharp { /// /// A .NET example in C# showing how to serialize and deserialize an NMath object /// in binaryformat
C# SIMPLE LINEAR REGRESSION EXAMPLE StreamReader dataStream = new StreamReader ( "SimpleLinearRegressionExample.dat" ); // First read in the independent (or predictor) values. This is a matrix // with one column and a row for each amounts measurement. var amounts = new DoubleMatrix ( dataStream ); // Next, read in the responses. These are the readings of the gas // chromatograph CORRELATIONFILTER.FILTER METHOD via correlation with the filter coefficients. Filter(DoubleVector, DoubleVector): Filters the NMATH - 14.3 SAVITZKY-GOLAY PEAK FINDING (.NET, C#, CSHARP NMath User's Guide. 14.3 Savitzky-Golay Peak Finding (.NET, C#, CSharp, VB, Visual Basic, F#) Class PeakFinderSavitzkyGolay uses smooth Savitzky-Golay derivatives to find peaks in data. A peak is defined as a smoothed derivative zero crossing. PeakFinderSavitzkyGolay extends PeakFinderBase, the abstract base class for all peak finding NMATH - 6.7 FUNCTIONS OF MATRICES (.NET, C#, CSHARP, VB NMath extends standard transcendental functions Exp () , Log (), Log10 () , and Sqrt () to take matrix arguments. Class NMathFunctions provides these functions as static methods; each takes a single matrix as an argument and return a matrix as a result. For example, this code creates a matrix whose elements are the square root of the elements NMATH - 1.6 BUILDING AND DEPLOYING NMATH APPLICATIONS NMath User's Guide. 1.6 Building and Deploying NMath Applications (.NET, C#, CSharp, VB, Visual Basic, F#) To use NMath types in your application, add a reference to NMath.dll . The search order is the same as for the common language runtime: first the GAC is searched, then the directory containing the currently executing assembly, and soon.
C# INTEGRATION EXAMPLE ← All NMath Code Examples . using System; using CenterSpace.NMath.Core; namespace CenterSpace.NMath.Core.Examples.CSharp { /// /// A .NET example in C# showing how to create integrator objects for greater control /// over how numerical integration is performed./// class IntegrationExample { static double MyFunction( double x ) { return Math.Sqrt( x ); } C# PROBABILITY DISTRIBUTION EXAMPLE ← All NMath Stats Code Examples . using System; using CenterSpace.NMath.Core; using CenterSpace.NMath.Stats; namespace ProbabilityDistributionExample { /// /// A .NET example in C# showing how to use the probability distribution classes./// /// /// NMath Stats provides classes for computing the probability density /// function (PDF), the cumulative C# LINEAR PROGRAMMING EXAMPLE Example showing how to solve a linear programming (LP) problem. ← All NMath Code Examples . using System; using CenterSpace.NMath.Core; using CenterSpace.NMath.Analysis; namespace CenterSpace.NMath.Analysis.Examples.CSharp { class LinearProgrammingExample { /// /// A .NET example in C# showing how to solve a linear system using linear programming and /// the primalNMATH CONFIGURATION
Beginning with the release of NMath 5.2 and NMath Stats 3.5, NMath includes a new configuration system for controlling the loading of the NMath license key, kernel assembly, and native library. Based on customer feedback, we've designed this system to provide greater flexibility and security at deployment, and greater convenience in group development environments. We've also added optional HIGH PERFORMANCE NUMERICS IN C# Recently a programmer on stackoverflow commented that the performance of NMath was “really amazing” and was wondering how we achieved that performance in the context of the .NET/C# framework/language pair. This blog post discusses how CenterSpace achieves such great performance in this memory managed framework. A future post will discuss where we are looking toVB MATRIX EXAMPLE
VB Matrix Example. Imports System Imports CenterSpace.NMath.Core Imports Range = CenterSpace.NMath.Core.Range Namespace CenterSpace.NMath.Core.Examples.VisualBasic ' A .NET example in Visual Basic showing some of the basic functionality of the matrix classes. C# BASIC GPU EXAMPLE Note that dgemm is the LAPACK name for matrix multiplication. // // Time tid Device# Function Device Used Reason // 2014-03-04 01:18:53.210 PM 1 0 dgemm CPU Below threshold; 100x100 = 10000 < 490000 (crossover 700) // 2014-03-04 01:18:53.311 PM 1 0 dgemm GPU Above threshold; 1400x1400 = 1960000 >= 490000 (crossover 700)Console.WriteLine
SETTING THE NMATH LICENSE KEY NMath license information is stored in a license key which must be found at runtime. When you purchase one or more developer seats of NMath, you will be issued a license key describing the terms of your license.. If no license key is found at runtime, a default evaluation license key is used which provides a free 30-day evaluation period for NMath on the current machine. BUTTERWORTH FILTERS IN C# There are three classes of widely used IIR (recursive) filters in signal processing: Butterworth, Chebyshev, and elliptical. In this article I will discuss the Butterworth filter and provide example code implementing and using the filter. NMATH PREMIUM: GPU-ACCELERATED MATH LIBRARIES FOR GPU Tuning 5 GPU Tuning Math Premium is pre-tuned to work reasonably well for common hardware. Larger problems are routed to the GPU, where there's typically a speed advantage, while smaller problems are retained on the CPU. Call Us: +1 (541) 896-1301MENU
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NMath
Building blocks for .NET numerical applications The NMath library contains foundational classes for financial, engineering, and scientific applications on the .NET platform Per developer licensing, royalty-freeLearn More
NMath Stats
A statistics library included with NMath. NMath Stats contains classes for data manipulation, statistical computation, hypothesis testing, and biostatistics Per developer licensing, royalty-freeLearn More
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SMOOTHING CUBIC SPLINES Cubic smoothing splines embody a curve fitting technique which blends the ideas of cubic splines and curvature minimization to create an effective data modeling tool for noisy data. Traditional interpolating cubic splines represent the tabulated data as a pie...Read More
PRINCIPAL COMPONENTS REGRESSION: PART 3 – THE NIPALS ALGORITHM Principal Components Regression: Recap of Part 2 Recall that the least squares solution to the multiple linear problem is given by (1) And that problems occurred finding when the matrix (2) was close to being singular. The Principal Compon...Read More
FILTERING WITH WAVELET TRANSFORMS Discrete time wavelet transforms have found engineering applications in computer vision, pattern recognition, signal filtering and perhaps most widely in signal and image compression. In 2000 the ISO JPEG committee proposed a new JPEG2000 image compression st...Read More
TESTIMONIALS
"Thank you very much for your lightning fast support!" Abdelali Zahi, Allianz "To answer your question whether I had success in utilizing the NMath libraries in my software development work, my answer is a resounding "YES". Your libraries have significantly helped me cut down my development time and I would like to extend a great big thank you to your development team for a truly outstanding job in develo... Waldemar Dos Passos, PhD, author of Numerical Methods, Algorithms andTools in C#
"I spent a year looking for a stats package that was native .NET as well as robust. After looking at dozens of websites and trying a half dozen demos, I bought the full NMath package--and it's great! I use it to analyze fixed income portfolios, where time is of the essence--and it's very fast. It couldn't be easier to integrate ... Eric Carlino, Ronin Capital "I've been developing numerical scientific software for fifteen years. I typically write custom-tailored numerical codes, and I've regularly used IMSL, ESSL, Numerical Recipes and Matlab. The development environment of NMath with C# is by far the most elegant, flexible, and amenable to reuse that I've ever encountered. The more...
John Lee, Washington University School of Medicine "Well done on a brilliant tool kit!" Toyin Akin, Cape Tools1
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