what natural logarithm used for

Comparison of Two Algorithms for calculating natural logarithm, calculation logarithm AlgorithmIntroduction Some time ago, I wrote two essays about algorithms used to calculate the natural logarithm, using the elliptic θ function-arithmetic

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.So what about the performance of the two algorithms? In 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

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 main reason is that the teacher used different methods to calculate the natural logarithm and understand the characteristics of different parallel languages. So I used multithreading. After OpenMP, I want to use opencl to implement the following.

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

2.1 Lexical representation(1) The use of the One-hot method to express the vocabulary has two major shortcomings, 10,000 words for example, each word needs to be represented by 10000 dimensions, and only one number is zero, the other dimensions are 1

After a few days of understanding of NLP, let's talk about the language model, which is given in PPT below. A statistical language model 1, what is the statistical language model. A language model is usually constructed as the probability