Math.NET C#（對開發者的運作方式）

using MathNet.Numerics;
public class BasicMathOperations
{
    public void PerformCalculations()
    {
        // Example of basic arithmetic operation
        double result = 2 * MathNet.Numerics.Trig.Cos(45);
        Console.WriteLine($"The result is: {result}");
    }
}

Imports MathNet.Numerics
Public Class BasicMathOperations
	Public Sub PerformCalculations()
		' Example of basic arithmetic operation
		Dim result As Double = 2 * MathNet.Numerics.Trig.Cos(45)
		Console.WriteLine($"The result is: {result}")
	End Sub
End Class

using MathNet.Numerics.Statistics;
using System;
public class CrimeDataAnalysis
{
    public void AnalyzeCrimeData()
    {
        // Hypothetical crime rate data for a series of districts
        var crimeRates = new double [] { 5.2, 3.8, 4.6, 2.9, 3.5 };
        // Calculating statistical metrics to understand crime trends
        double meanCrimeRate = Statistics.Mean(crimeRates);
        double varianceCrimeRate = Statistics.Variance(crimeRates);
        // Outputting the analysis results
        Console.WriteLine($"Average Crime Rate: {meanCrimeRate}, Variance in Crime Rate: {varianceCrimeRate}");
        // Additional analysis can be added here to further assist in the crime-solving process
        // For instance, correlating crime rates with different variables (like time, location, etc.)
    }
}
class Program
{
    static void Main(string [] args)
    {
        // Simulating a scenario where LAPD and New York City starting collaborate using statistical analysis
        Console.WriteLine("Los Angeles Police Department and New York City  Precinct Collaboration:");
        CrimeDataAnalysis crimeDataAnalysis = new CrimeDataAnalysis();
        crimeDataAnalysis.AnalyzeCrimeData();
    }
}

Imports MathNet.Numerics.Statistics
Imports System
Public Class CrimeDataAnalysis
	Public Sub AnalyzeCrimeData()
		' Hypothetical crime rate data for a series of districts
		Dim crimeRates = New Double () { 5.2, 3.8, 4.6, 2.9, 3.5 }
		' Calculating statistical metrics to understand crime trends
		Dim meanCrimeRate As Double = Statistics.Mean(crimeRates)
		Dim varianceCrimeRate As Double = Statistics.Variance(crimeRates)
		' Outputting the analysis results
		Console.WriteLine($"Average Crime Rate: {meanCrimeRate}, Variance in Crime Rate: {varianceCrimeRate}")
		' Additional analysis can be added here to further assist in the crime-solving process
		' For instance, correlating crime rates with different variables (like time, location, etc.)
	End Sub
End Class
Friend Class Program
	Shared Sub Main(ByVal args() As String)
		' Simulating a scenario where LAPD and New York City starting collaborate using statistical analysis
		Console.WriteLine("Los Angeles Police Department and New York City  Precinct Collaboration:")
		Dim crimeDataAnalysis As New CrimeDataAnalysis()
		crimeDataAnalysis.AnalyzeCrimeData()
	End Sub
End Class

using IronPdf;

class Program
{
    static void Main(string[] args)
    {
        var renderer = new ChromePdfRenderer();

        // 1. Convert HTML String to PDF
        var htmlContent = "<h1>Hello, IronPDF!</h1><p>This is a PDF from an HTML string.</p>";
        var pdfFromHtmlString = renderer.RenderHtmlAsPdf(htmlContent);
        pdfFromHtmlString.SaveAs("HTMLStringToPDF.pdf");

        // 2. Convert HTML File to PDF
        var htmlFilePath = "path_to_your_html_file.html"; // Specify the path to your HTML file
        var pdfFromHtmlFile = renderer.RenderHtmlFileAsPdf(htmlFilePath);
        pdfFromHtmlFile.SaveAs("HTMLFileToPDF.pdf");

        // 3. Convert URL to PDF
        var url = "http://ironpdf.com"; // Specify the URL
        var pdfFromUrl = renderer.RenderUrlAsPdf(url);
        pdfFromUrl.SaveAs("URLToPDF.pdf");
    }
}

Imports IronPdf

Friend Class Program
	Shared Sub Main(ByVal args() As String)
		Dim renderer = New ChromePdfRenderer()

		' 1. Convert HTML String to PDF
		Dim htmlContent = "<h1>Hello, IronPDF!</h1><p>This is a PDF from an HTML string.</p>"
		Dim pdfFromHtmlString = renderer.RenderHtmlAsPdf(htmlContent)
		pdfFromHtmlString.SaveAs("HTMLStringToPDF.pdf")

		' 2. Convert HTML File to PDF
		Dim htmlFilePath = "path_to_your_html_file.html" ' Specify the path to your HTML file
		Dim pdfFromHtmlFile = renderer.RenderHtmlFileAsPdf(htmlFilePath)
		pdfFromHtmlFile.SaveAs("HTMLFileToPDF.pdf")

		' 3. Convert URL to PDF
		Dim url = "http://ironpdf.com" ' Specify the URL
		Dim pdfFromUrl = renderer.RenderUrlAsPdf(url)
		pdfFromUrl.SaveAs("URLToPDF.pdf")
	End Sub
End Class

using IronPdf;
public class PdfGenerator
{
    public void CreatePdf()
    {
        var Renderer = new ChromePdfRenderer();
        var PDF = Renderer.RenderHtmlAsPdf("<h1>Hello, IronPDF!</h1>");
        PDF.SaveAs("HelloIronPDF.pdf");
    }
}

Imports IronPdf
Public Class PdfGenerator
	Public Sub CreatePdf()
		Dim Renderer = New ChromePdfRenderer()
		Dim PDF = Renderer.RenderHtmlAsPdf("<h1>Hello, IronPDF!</h1>")
		PDF.SaveAs("HelloIronPDF.pdf")
	End Sub
End Class

using MathNet.Numerics.Statistics;
using IronPdf;
public class StatisticalReport
{
    public void CreateReport(double [] data)
    {
        double mean = Statistics.Mean(data);
        double variance = Statistics.Variance(data);
        var Renderer = new ChromePdfRenderer();;
        var PDF = Renderer.RenderHtmlAsPdf($"<h1>Statistical Report</h1><p>Mean: {mean}</p><p>Variance: {variance}</p>");
        PDF.SaveAs("StatisticalReport.pdf");
    }
}

Imports MathNet.Numerics.Statistics
Imports IronPdf
Public Class StatisticalReport
	Public Sub CreateReport(ByVal data() As Double)
		Dim mean As Double = Statistics.Mean(data)
		Dim variance As Double = Statistics.Variance(data)
		Dim Renderer = New ChromePdfRenderer()
		Dim PDF = Renderer.RenderHtmlAsPdf($"<h1>Statistical Report</h1><p>Mean: {mean}</p><p>Variance: {variance}</p>")
		PDF.SaveAs("StatisticalReport.pdf")
	End Sub
End Class