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Introduction
In 1982, tateaki. Sasaki and yasumasa Kanada published a paper: practically Fast Multiple-Precision Evaluation of log (X ). In this four-page paper, they introduced a quick way to calculate the natural logarithm.Algorithm. C #
Program
Introduction
Some time ago, I wrote two articles to calculate the natural logarithmAlgorithmUsing the elliptic θ function-arithmetic geometric mean and Taylor series expansion respectively. What is the performance of these two algorithms? The
IntroductionSome time ago, I wrote two essays on algorithms for calculating natural logarithms, using the elliptical θ function-arithmetic geometric averaging and Taylor series expansions-to calculate. What about the performance of the two
IntroductionSome time ago. I wrote two essays on algorithms for calculating natural logarithms, using the elliptical θ function-arithmetic geometric averaging and Taylor series expansions.So what about the performance of the two algorithms? In the
Java logarithmic functions and Java logarithm operations2010-05-17 10:32 China it lab anonymous Keyword: Java
Java logarithmic functions are computationally problematic, but there are amazing errors in the API. But if you use the following method,
The log () method used to calculate the logarithm in Python
This article mainly introduces the log () method used to calculate the logarithm in Python. It is a required method for getting started with Python. For more information, see
The log ()
The R language is very powerful and can be used to calculate various types of exponential functions.For example, suppose Y=a^x, seeking x.Function:Log (P1 [, p2])Where P1 is the power, P2 is the base, if P2 does not exist, then the base is E, the
C + + has a ready-made header file, #include after adding it, you can use exp () to represent the natural logarithm e index, log () is used to find the logarithm, and
_std_begin Using _cstd ACOSF using _CSTD asinf; using _CSTD atanf; using
Natural language Processing--TF-IDF algorithm to extract key words
This headline seems to be very complicated, in fact, I would like to talk about a very simple question.
There is a very long article, I want to use the computer to extract its
I don't know if this item will only be used this time. I figured it out, just stay.
References: https://en.wikipedia.org/wiki/Log-normal_distribution
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In probability theory, the logarithm normal distribution is a continuous probability
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