dew.math.core - npm Package Compare versions

Comparing version 6.2.3 to 6.3.5

Dew.Math.Core.nuspec

@@ -5,4 +5,4 @@ <?xml version="1.0" encoding="utf-8"?>
     <id>Dew.Math.Core</id>
-    <version>6.2.3</version>
-    <authors>Dew.Math.Core</authors>
+    <version>6.3.5</version>
+    <authors>Dew Research</authors>
     <requireLicenseAcceptance>true</requireLicenseAcceptance>
@@ -14,30 +14,35 @@ <license type="file">DewMathLicense.txt</license>
     <projectUrl>https://www.dewresearch.com/products/mtxvec/mtxvec-for-visual-studio-net</projectUrl>
-    <description>Multicore math engine for science and engineering. Dew Math Library is an object oriented math library for C# and .NET developers that offers a wide set of matrix and vector math operations. The library provides a broad set of vectorized numeric functions which include sparse matrices, complex numbers, probabilities, expression parser, optimization unit, SVD, QR, LQ, and LU solvers and special functions. Key features:    
-    With .NET Core use common source to compile your applications for Windows, Mac OS, iOS / iPhone, Android and Linux. The full source version is called MtxVec Core Edition
-    Supports .NET Core 5.0 and .NET Core 6.0.
-    Support for 64bit native mode execution.
-    Optimized Linear Algebra Package (LAPACK v3.7) numerical library with BLAS
-    Extensive XMLDoc based tooltips for .NET Core projects.
-    Vectorized Math expression parser and evaluator
-    Various optimization and fitting algorithms allow solution to a large set of problems. Simplex (Nelder-Mead), Marquardt with numerical derivates, Dual Simplex, Two-phase Simplex, BFGS, Conjugate Gradient, Gomory's Cutting Plane, Brent, Linear optimization, Trust Region.
-    GPU support via OpenCL. Comprehensive implementation of the OpenCL API in object structure. Includes over 2000 GPU kernels.
-    Sparse matrices, Direct Solvers (UMFPack and Pardiso), CG Iterative Solvers. Eigenvalues of symmetric matrices, solvers for banded matrices.
-    Random Generators for over 18 distributions.
-    Roots of the polynomial, coefficients of the polynomial, Poly evaluations, fitting, splines, piecewise polynomials, polynomial division and multiplication.
-    Numerical integration by MonteCarlo, QuadGauss, Romberg methods.
-    Special functions Airy, Biry, Besh, .... Elliptic integrals and Legendre Polynomials.
-    Toeplitz matrix solvers. (Levinson Durbin).
-    Cumulative distribution functions (CDF) and probability density functions (PDF) with probability statistics for over 30 probability distributions.
-    Specialized super-conductive memory allocation allows 100% thread concurrency for arbitrary thread count outperforming garbage collector.
-    Allows runtime selection of algorithm precision (single or double)
-    100% of the .NET source code written in C#</description>
-    <summary>Cross-platform vectorized numerical math library.</summary>
-    <copyright>Copyright (c) Dew Research 2024</copyright>
+    <description>Dew.Math.Core is the portable, pure managed edition of the Dew.Math library. It provides the same
+high-level matrix and vector programming model, expression parser, probability and optimization
+toolkit, and special function support without linking to any native runtime components. This enables
+maximum compatibility across platforms and runtime environments.
+
+Core Numerical Capabilities (Managed):
+- Dense matrix and vector operations with operator overloading and method-based APIs
+- QR, LU, SVD and eigenvalue routines using high-quality managed linear algebra kernels
+- Complex number and real-valued computation with full vectorization in managed code
+- Sparse matrix representations with iterative solver support
+- Probability distributions, histogramming, random generators, Monte Carlo workflows
+- Nonlinear optimization, curve fitting, regression models, trust-region and gradient methods
+- Vectorized expression parsing for symbolic-style expression and simulation pipelines
+- Polynomial and spline interpolation, numerical integration and differentiation
+- Special function suite including Bessel, Airy, Gamma-related, Legendre and elliptic functions
+
+Portability Model:
+- No native libraries required (zero unmanaged dependencies)
+- Runs on Windows, Linux, macOS, iOS, Android, MAUI, Uno, WASM, Unity*, cloud functions and plugins
+- Targets netstandard2.0, net8.0, and net9.0
+
+Use Dew.Math.Core when you need **maximum portability** in libraries, shared simulation engines,
+tooling, mobile deployments, WebAssembly environments, or plugin architectures.</description>
+    <summary>Cross-platform high-performance vectorized numerical math library.</summary>
+    <copyright>Copyright 2025 Dew Research</copyright>
     <language>en-US</language>
-    <tags>dotNet,csharp,.NET,MVC,C#,Windows,Linux,macOS,library,Component, WPF,MVC,netcore,net7.0, Math, Numerical Library, LAPACK, Linear Algebra, Scripting</tags>
+    <tags>math numerical vector matrix complex sparse linear-algebra lapack blas optimization solver eigenvalue polynomial interpolation statistics distributions random-number-generators special-functions opencl gpu hpc performance multithreaded cross-platform csharp dotnet netstandard2.0 net8.0 net9.0</tags>
     <dependencies>
+      <group targetFramework=".NETStandard2.0" />
       <group targetFramework="net8.0" />
-      <group targetFramework="net7.0" />
+      <group targetFramework="net9.0" />
     </dependencies>
   </metadata>
 </package>

readme.md

@@ -1,45 +0,138 @@
-**High performance math Library for .NET Core**
+# Dew.Math.Core
+Cross-platform managed math library for .NET
 
-Multicore math engine for science and engineering. Dew Math Library is an object oriented math library for C# and .NET developers that offers a wide set of matrix and vector math operations. The library provides a broad set of vectorized numeric functions which include sparse matrices, complex numbers, probabilities, expression parser, optimization unit, SVD, QR, LQ, and LU solvers and special functions. Key features:
+Dew.Math.Core is the portable, pure managed edition of the Dew.Math library. It provides the same
+high-level vector and matrix programming model, expression parser, probability and optimization
+toolkits, and special function support, but does not rely on any native runtime libraries. This
+enables maximum compatibility across platforms and deployment environments.
 
-* Common C# source to compile your applications for Windows, Mac OS, iOS / iPhone, Android and Linux. The full source version is called [MtxVec Core Edition](https://www.dewresearch.com/products/mtxvec/mtxvec-core-edition)
-* Supports .NET Core 5, 6 (version 2022), 7 and 8 (version 2024).
-* High performance hardware accelerated variants are available for [Windows](https://www.nuget.org/packages/Dew.Math/) and [Linux](https://www.nuget.org/packages/Dew.Math.Linux/). 
-* Support for 64bit native mode execution.
-* Optimized Linear Algebra Package (LAPACK v3.7) numerical library
-* Extensive XMLDoc based tooltips for .NET Core projects.
-* Vectorized Math [expression parser and evaluator](https://www.dewresearch.com/support/knowledge-base/mtxvec-kb/142-mtxvec-scripting)
-* Various [optimization and fitting algorithms](https://www.dewresearch.com/support/case-studies) allow solution to a large set of problems. Simplex (Nelder-Mead), Marquardt with numerical derivates, Dual Simplex, Two-phase Simplex, BFGS, Conjugate Gradient, Gomory's Cutting Plane, Brent, Linear optimization, Trust Region. 
-* GPU support via OpenCL. Comprehensive implementation of the OpenCL API in object structure. Includes over 2000 GPU kernels. 
-* Sparse matrices, Direct Solvers (UMFPack and Pardiso), CG Iterative Solvers. Eigenvalues of symmetric matrices, solvers for banded matrices.
-* Random Generators for over 18 distributions.
-* Roots of the polynomial, coefficients of the polynomial, Poly evaluations, fitting, splines, piecewise polynomials, polynomial division  and multiplication. 
-* Numerical integration by MonteCarlo, QuadGauss, Romberg methods.
-* Special functions Airy, Biry, Besh, .... Elliptic integrals and Legendre Polynomials.
-* Toeplitz matrix solvers. (Levinson Durbin). 
-* Cumulative distribution functions (CDF) and probability density functions (PDF) with probability statistics for over 30 probability distributions. 
-* Specialized super-conductive memory allocation allows 100% thread concurrency for arbitrary thread count outperforming garbage collector.
-* Allow runtime selection of [algorithm precision (single or double)](https://www.dewresearch.com/support/knowledge-base/mtxvec-kb/280-multi-precision-code)
-* 100% of the source code written in C#
+Use Dew.Math.Core when building applications and shared libraries that must run on Windows, Linux,
+macOS, iOS, Android, MAUI, Uno, WebAssembly, Unity* and containerized or plugin-based systems
+without requiring platform-specific native dependencies.
 
-**Advanced memory management designed for multi-threading**
-* Implements .NET Core principles since year 2006 (memory views/spans/sub-arrays)
-* Vectors and Matrices feature "Capacity" property to reduce memory allocation count
-* Object-cache allows concurrent Vector/Matrix allocation without putting pressure on the garbage collector and implements fully parallel memory manager (one memory-pool per thread). 
-* Subranges (Spans/Sub-arrays) allow "nested" memory partitioning on the same vector/matrix object. 
-* Does not allocate memory internally except in very rare cases. 
+---------------------------------------------------------------------
 
-**Visual Studio support**
-* Version 2022 supports Visual Studio 2022 up to 17.6 (excluding)
-* Version 2024 supports Visual Studio 2022 17.6 forward.
+## Key Features
 
-**Examples**
-* [Dew Research GitHub Home](https://github.com/Dew-Research)
-* [Winform/.NET Core example](https://github.com/Dew-Research/DewLabStudio-NETCore-Samples)
+* Same programming model as Dew.Math: Vectors, Matrices, subranges, views and capacity-based memory design
+* Pure managed implementation (no native BLAS, LAPACK or external libraries required)
+* Operator overloads and method-based APIs for vectorized computation
+* Complex number support throughout the vector and matrix system
+* Expression parser and vectorized formula evaluation
 
-**Documentation**
-* [Documentation & API Reference](https://www.dewresearch.com/Help/VSNET/MtxVec/contents.html)
-* [Users Guide](http://downloads.dewresearch.com/downloads/MtxVecV6-CSharp.pdf)
-* [License](https://www.dewresearch.com/downloads/LicenseNET.pdf)
-* [Product page at Dew Research](https://www.dewresearch.com/products/mtxvec) 
-* [Homepage at Nuget](https://www.nuget.org/profiles/DewResearch)
+### Optimization and Curve Fitting
+Includes nonlinear optimization methods:
+- Simplex (Nelder-Mead)
+- Marquardt (with numerical derivatives)
+- BFGS
+- Conjugate Gradient
+- Trust Region
+
+### Probability and Special Functions
+* Probability distributions and random number generators
+* Monte Carlo workflows
+* Polynomial tools, spline interpolation, piecewise functions and polynomial fitting
+* Numerical differentiation and integration routines
+* Special mathematical functions including:
+  Airy, Bessel, Gamma-related families, Legendre polynomials, elliptic integrals
+
+---------------------------------------------------------------------
+
+## Advanced Memory Model
+
+The same advanced memory and concurrency design from Dew.Math is also available in Dew.Math.Core:
+
+* Vectors and Matrices expose a **Capacity** property to reduce allocation count
+* Subranges (views / spans) allow memory partitioning without copying
+* Object pool enables parallel allocation with minimal GC pressure
+* Designed for multi-threading from the start (MtxVec lineage)
+* Nearly all math operations avoid internal allocations
+
+This makes Dew.Math.Core suitable for long-running simulation engines, model servers, and streaming
+computation pipelines where predictable allocation patterns matter.
+
+---------------------------------------------------------------------
+
+## Platform and Deployment Model
+
+* No native libraries required (pure managed)
+* Works on:
+  - Windows
+  - Linux
+  - macOS
+  - iOS / Android (via Xamarin / MAUI)
+  - Uno, Avalonia, Blazor / WebAssembly
+  - Unity* (subject to IL2CPP/AOT constraints)
+
+### Target Frameworks
+- netstandard2.0
+- net8.0
+- net9.0
+
+---------------------------------------------------------------------
+
+## Drop-in Replaceable Architecture (Important)
+
+Dew.Math.Core shares the same namespaces and class names as:
+- Dew.Math (Windows hardware-accelerated)
+- Dew.Math.Linux (Linux hardware-accelerated)
+
+This allows **switching editions without modifying code**.
+
+Example deployment workflow:
+
+1) Develop on Windows using Dew.Math.Core (maximum portability)
+2) Before final deployment:
+   - Replace Dew.Math.Core with Dew.Math for Windows acceleration, or
+   - Replace Dew.Math.Core with Dew.Math.Linux for Linux acceleration
+3) Rebuild your solution. No source changes required.
+
+No #ifdef, no dual code paths, no API differences.
+
+---------------------------------------------------------------------
+
+## Hardware-Accelerated Editions (Optional)
+
+| Package        | Platform | Acceleration Model                   |
+|----------------|----------|--------------------------------------|
+| Dew.Math       | Windows  | Native AVX2 / AVX-512 acceleration   |
+| Dew.Math.Linux | Linux    | Native AVX2 / AVX-512 acceleration   |
+| Dew.Math.Core  | All      | Managed-only, portable               |
+
+---------------------------------------------------------------------
+
+## Examples
+
+* Dew Research GitHub Home:
+  https://github.com/Dew-Research
+
+* WinForms / WPF / ASP.NET (.NET Framework) examples:
+  https://github.com/Dew-Research/DewLabStudio-NETFramework-Samples
+
+* WinForms (.NET Core / .NET 6-9) examples:
+  https://github.com/Dew-Research/DewLabStudio-NETCore-Samples
+
+---------------------------------------------------------------------
+
+## Documentation
+
+* API Reference:
+  https://www.dewresearch.com/Help/VSNET/MtxVec/contents.html
+
+* User Guide (PDF):
+  http://downloads.dewresearch.com/downloads/MtxVecV6-CSharp.pdf
+
+* Product Page:
+  https://www.dewresearch.com/products/mtxvec
+
+* NuGet Publisher Profile:
+  https://www.nuget.org/profiles/DewResearch
+
+* License:
+  https://www.dewresearch.com/downloads/LicenseNET.pdf
+
+---------------------------------------------------------------------
+
+## License
+Commercial license. See DewMathLicense.txt included in this package.
+All Dew.* NuGet packages on nuget.org are trial versions and work only inside Visual Studio IDE.

readme.txt

@@ -1,31 +0,44 @@
-Dew Math Library for .NET Framework, .NET Core and .NET Core Winforms
+Dew.Math.Core - Cross-Platform Managed Numerical Math Library for .NET
 
-Product page at :
-https://www.dewresearch.com/products/mtxvec
- 
-Homepage at Nuget :
-https://www.nuget.org/profiles/DewResearch/
+Dew.Math.Core is the portable, pure managed edition of the Dew.Math library.
+It provides vector and matrix math, complex arithmetic, expression parsing,
+optimization routines, probability distributions, and special functions
+without using any native platform-specific libraries.
 
-Multicore math engine for science and engineering
+Use Dew.Math.Core when targeting:
+- Windows
+- Linux
+- macOS
+- iOS / Android (MAUI)
+- WebAssembly (browser or headless)
+- Plugin or sandboxed environments
+- Cloud / container deployments
 
-MtxVec for Visual Studio .NET is an object oriented math library for C# and .NET developers that offers a wide set of matrix and vector math operations. The library provides a broad set of vectorized numeric functions which include sparse matrices, complex numbers, probabilities, expression parser, optimization unit, SVD, QR, LQ, and LU solvers and special functions. 
+Supported Target Frameworks:
+- netstandard2.0
+- net8.0
+- net9.0
 
-Visual Studio support:
-Version 2022 supports Visual Studio 2022 up to 17.6 (excluding)
-Version 2024 supports Visual Studio 2022 17.6 forward.
+Platform Variants (Drop-In Replaceable):
+- Dew.Math        (Windows acceleration: AVX2 / AVX-512)
+- Dew.Math.Linux  (Linux acceleration: AVX2 / AVX-512)
+- Dew.Math.Core   (Managed-only, highest portability)
 
-Useful pages
+All three variants expose the same namespaces and types. You can develop on
+Windows with Dew.Math, then uninstall it and install Dew.Math.Linux or
+Dew.Math.Core to deploy to other platforms without changing code.
 
-Examples :
-Home: https://github.com/Dew-Research
-WinForm/WPF/ASP.NET: https://github.com/Dew-Research/DewLabStudio-NETFramework-Samples
-Winform/.NET Core: https://github.com/Dew-Research/DewLabStudio-NETCore-Samples
+Trial Version Usage:
+The trial version must be executed under the Visual Studio debugger (or
+VS Code / Rider debugger for non-Windows). Running outside a debugger
+activates evaluation restrictions.
 
-Documentation & API Reference :
+Documentation:
 https://www.dewresearch.com/Help/VSNET/MtxVec/contents.html
 
-Users Guide :
-http://downloads.dewresearch.com/downloads/MtxVecV6-CSharp.pdf
+Examples:
+https://github.com/Dew-Research
 
-License :
-https://www.dewresearch.com/downloads/LicenseNET.pdf
+License:
+Commercial license. See DewMathLicense.txt included in this package.
+All Dew.* packages on nuget.org are trial versions and require running under a debugger.

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