Name | Description | Type | Package | Framework |
Digamma | The digamma function is defined as the logarithmic derivative of the gamma function. | Class | com.numericalmethod.suanshu.analysis.function.special.gamma | SuanShu |
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Gamma | The Gamma function is an extension of the factorial function to real and complex numbers, with its argument shifted down by 1. | Interface | com.numericalmethod.suanshu.analysis.function.special.gamma | SuanShu |
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GammaGergoNemes | The Gergo Nemes' algorithm is very simple and quick to compute the Gamma function, if accuracy is not critical. | Class | com.numericalmethod.suanshu.analysis.function.special.gamma | SuanShu |
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GammaLanczos | Lanczos approximation provides a way to compute the Gamma function such that the accuracy can be made arbitrarily precise. | Class | com.numericalmethod.suanshu.analysis.function.special.gamma | SuanShu |
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GammaLanczosQuick | Lanczos approximation, computations are done in double. | Class | com.numericalmethod.suanshu.analysis.function.special.gamma | SuanShu |
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GammaLowerIncomplete | The Lower Incomplete Gamma function is defined as: gamma(s,x) = int_0^x t^{s-1},e^{-t},{
m d}t = P(s,x)Gamma(s) | Class | com.numericalmethod.suanshu.analysis.function.special.gamma | SuanShu |
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GammaRegularizedP | The Regularized Incomplete Gamma P function is defined as: P(s,x) = frac{gamma(s,x)}{Gamma(s)} = 1 - Q(s,x), s geq 0, x geq 0 | Class | com.numericalmethod.suanshu.analysis.function.special.gamma | SuanShu |
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GammaRegularizedPInverse | The inverse of the Regularized Incomplete Gamma P function is defined as: x = P^{-1}(s,u), 0 geq u geq 1 | Class | com.numericalmethod.suanshu.analysis.function.special.gamma | SuanShu |
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GammaRegularizedQ | The Regularized Incomplete Gamma Q function is defined as: Q(s,x)=frac{Gamma(s,x)}{Gamma(s)}=1-P(s,x), s geq 0, x geq 0 | Class | com.numericalmethod.suanshu.analysis.function.special.gamma | SuanShu |
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GammaUpperIncomplete | The Upper Incomplete Gamma function is defined as: Gamma(s,x) = int_x^{infty} t^{s-1},e^{-t},{
m d}t = Q(s,x) imes Gamma(s) | Class | com.numericalmethod.suanshu.analysis.function.special.gamma | SuanShu |
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Lanczos | The Lanczos approximation is a method for computing the Gamma function numerically, published by Cornelius Lanczos in 1964. | Class | com.numericalmethod.suanshu.analysis.function.special.gamma | SuanShu |
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LogGamma | The log-Gamma function, (log (Gamma(z))), for positive real numbers, is the log of the Gamma function. | Class | com.numericalmethod.suanshu.analysis.function.special.gamma | SuanShu |
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LogGamma .Method | the available methods to compute (log (Gamma(z)))Lanczos approximation. | Class | com.numericalmethod.suanshu.analysis.function.special.gamma | SuanShu |
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Trigamma | The trigamma function is defined as the logarithmic derivative of the digamma function. | Class | com.numericalmethod.suanshu.analysis.function.special.gamma | SuanShu |