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26 packages
returned for Tags:"differentiation"

Contains a matrix extension library, along with a suite of numerical matrix decomposition methods, numerical optimization algorithms for constrained and unconstrained problems, special functions and other tools for scientific applications. This package is part of the Accord.NET Framework.

xFunc.Maths is a simple and easy to use library that allows you to build mathematical expressions.

Deep learning library for F#. Provides symbolic model differentiation, automatic differentiation and compilation to CUDA GPUs. Includes optimizers and model blocks used in deep learning.
Make sure to set the platform of your project to x64.

DiffSharp is an automatic differentiation (AD) library.
AD allows exact and efficient calculation of derivatives, by systematically invoking the chain rule of calculus at the elementary operator level during program execution. AD is different from numerical differentiation, which is prone to...

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The GPU-accelerated version of package CenterSpace.NMath. With a few minor exceptions, such as optional GPU configuration settings, the API is identical between CenterSpace.NMath.Premium and CenterSpace.NMath.

Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares...

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Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares...

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Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares...

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Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares...

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Foundational classes for financial, engineering, and scientific applications, including complex number classes, general vector and matrix classes, structured sparse matrix classes and factorizations, general sparse matrix classes and factorizations, general matrix decompositions, least squares...

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Extreme Optimization Numerical Libraries for .NET Single-Precision P/Invoke MKL Provider for Linux.

Extreme Optimization Numerical Libraries for .NET P/Invoke MKL Provider for Linux.

The Extreme Optimization Numerical Libraries for .NET are a set of libraries for numerical computing and data analysis.
This is the main package that contains all the core functionality.
For optimal performance, we strongly recommend also referencing one of the native packages based on Intel's...

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Extreme Optimization Numerical Libraries for .NET P/Invoke MKL Provider for Windows.

The Extreme Optimization Numerical Libraries for .NET are a set of libraries for numerical computing and data analysis.
This package provides types specialized to single-precision, including complex numbers, as well as optimized implementations of single-precision linear algebra.
Supports .NET...

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The Extreme Optimization Numerical Libraries for .NET are a set of libraries for numerical computing and data analysis.
This package contains the single-precision mixed-mode native provider. This is the recommended native provider for the classic .NET Framework on Windows.
Supports .NET Framework...

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The Extreme Optimization Numerical Libraries for .NET are a set of libraries
for numerical computing and data analysis.
This package provides a complete implementation of linear algebra functionality for arbitrary numerical types.
Supports .NET Framework 3.5, 4.0 and 4.6+,
.NET Standard 1.3 and...

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The Extreme Optimization Numerical Libraries for .NET are a set of libraries for numerical computing and data analysis.
This package contains the mixed-mode native provider. This is the recommended native provider for the classic .NET Framework on Windows.
Supports .NET Framework 4.0 and 4.6+ on...

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Extreme Optimization Numerical Libraries for .NET Data Access Library for JSON.