Universe.NetCore.Algorithm 1.2.0.100

dotnet add package Universe.NetCore.Algorithm --version 1.2.0.100
                    
NuGet\Install-Package Universe.NetCore.Algorithm -Version 1.2.0.100
                    
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="Universe.NetCore.Algorithm" Version="1.2.0.100" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Universe.NetCore.Algorithm" Version="1.2.0.100" />
                    
Directory.Packages.props
<PackageReference Include="Universe.NetCore.Algorithm" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add Universe.NetCore.Algorithm --version 1.2.0.100
                    
#r "nuget: Universe.NetCore.Algorithm, 1.2.0.100"
                    
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
#addin nuget:?package=Universe.NetCore.Algorithm&version=1.2.0.100
                    
Install Universe.NetCore.Algorithm as a Cake Addin
#tool nuget:?package=Universe.NetCore.Algorithm&version=1.2.0.100
                    
Install Universe.NetCore.Algorithm as a Cake Tool

Description of the Universe.NetCore.Algorithm

Universe.Algorithm - a nuget-package with often using algorithms for some interesting cases, which I want just to re-use in the future.

One this algorithm - IntersectingLineSegmentsAlgorithm. This is algorithm of a definition free slot of time bases on searching of intersection line segments. Very useful algorithm, which help me solve a task on one project of pharm company.

ThreadMachine - simplification of the using Thread. I'm using it always in WinForms applications and jobs of integrations. Sample of using:

var threadMachine = ThreadMachine.Create(1).RunInMultiThreadsWithoutWaiting(() =>
{
 // Your code
}

You can mage threads, cancel them using CancelAllThreads() etc.

TextTokenizer - very useful if you're working with neural networks or under a search optimization. Tokenizing on: Newline | Number | Space | Symbol | Word.

Signals/FFT - when I was a student I need to create my application for speech recognition and getting from speech commands for the voice control of a computer. First stage is transformation Wave PCM to the spectrum form. For this I've implemented FFT and algorithm of fetching Сepstral coefficients (Mel-frequency cepstrum).

Fast Fourier Transform (FFT) is an algorithm that quickly computes the Discrete Fourier Transform (DFT) of a signal. It converts a signal from its original domain (like time) into the frequency domain, revealing which frequencies are present and how strong they are. Instead of taking O(N^2) operations like normal DFT, FFT only takes O(NlogN) steps, making it extremely fast even for large datasets. It's used in audio processing, communications, image analysis, and many other fields.

Fast Fourier Transform is a kind of the Discrete Fourier Transform (DFT) converts a sequence of

X(k) = sum_{n=0}^{N-1} x(n) * exp(-j2pikn/N), where: x(n) = your original signal (in time or space). X(k) = the signal in frequency domain. j = imaginary unit. N = total number of samples.

Of course a programming of DFT very hard and usually using FFT version of this algorithm.

And since I started working with the framework, I transferred to Universe.Algorithm the FFT algorithm (Fast Fourier Transform) along with the control for drawing the spectrum, which I implemented when I was at university. And I used the same player on my "rabbit." The algorithm is useful, where it's applicable starting with the construction of spectrograms and not only sound waves

When studying Venus by the light spectra of phosphine, each chemical compound has its own, a hypothesis was made about the possible presence of life in the upper layers

#CSharp #NetFramework #NetCore #UniverseFramework #FFT #Algorithms

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed.  net9.0 was computed.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed.  net10.0 was computed.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
.NET Core netcoreapp3.1 is compatible. 
MonoAndroid monoandroid80 is compatible. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on Universe.NetCore.Algorithm:

Package Downloads
Universe.NetCore.QrCode.Perseverance

Содержит алгоритмы "настойчивого" считывания QR-кодов. Входит в состав Universe.Framework

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.2.0.100 5,042 6/5/2025
1.2.0 117 6/5/2025
1.1.0 14,564 4/9/2025
1.0.0 86,421 8/16/2023
0.9.3.6 4,022 12/7/2022
0.9.3.5 5,413 5/27/2022
0.9.3.4 490 2/13/2022
0.9.3.3 312 12/23/2021
0.9.3.2 526 12/8/2021
0.9.3.1 341 11/4/2021
0.9.3 531 10/24/2021