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Features •Data analysis (classification/regression, including neural networks)
•Optimization and nonlinear solvers
•Interpolation and linear/nonlinear least-squares fitting
•Linear algebra (direct algorithms, EVD/SVD), direct and iterative linear solvers, Fast Fourier Transform and many other algorithms (numerical integration, ODEs, statistics, special functions)
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Features The library provides generic Vector and Matrix types that support most of the commonly used linear algebra operations, including matrix–vector operations, matrix inverse, determinants, eigenvalues, LU and QR decompositions. Its intended use is to enable writing generic linear algebra code with custom numeric types. It can also be used as a lightweight library for prototyping and scripting with primitive floating point types.
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LanguagesCPP CS |
LanguagesOther |
Source TypeOpen
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Source TypeOpen
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License TypeGPLv2 Proprietary |
License TypeProprietary |
OS Type |
OS Type |
Pricing
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Pricing
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