For complex-valued input, log1p is a complex analytical function that has a branch cut [-inf, -1] and is continuous from above on it. log1p handles the floating-point negative zero as an infinitesimal negative number, conforming to the C99 standard.

2025年2月9日 · The functions std::expm1 and std::log1p are useful for financial calculations, for example, when calculating small daily interest rates: (1 + x) n - 1 can be expressed as std:: expm1 ( n * std :: log1p ( x ) ) .

2018年9月5日 · 由于前面使用过log1p将数据进行了压缩，所以最后需要记得将预测出的平滑数据进行一个还原，而还原过程就是log1p的逆运算expm1。 上面介绍了两者的概念和方法的优点，下面说说具体的数学含义： log1p和expm1的功能： log1p := 即 expm1 :=

2018年11月29日 · numpy.log1p(arr, out = None, *, where = True, casting = ‘same_kind’, order = ‘K’, dtype = None, ufunc ‘log1p’) : This mathematical function helps user to calculate natural logarithmic value of x+1 where x belongs to all the input array elements.

2023年2月1日 · API reference for log1p, log1pf, log1pl2; which compute the natural logarithm of 1 plus the specified value.

Y = log1p(X) computes the natural logarithm log(1+X) for each element in array X without explicitly computing 1+X. If X < -1, then Y is complex. This function is more accurate for small real values in X because it compensates for the round-off error in 1+X.

2024年6月28日 · The np.log1p function computes log⁡e (1+x)\log_e (1 + x)loge (1+x), where xxx is the input. This function is particularly useful when xxx is close to zero, preventing numerical...

double log1p (double x); float log1pf (float x);long double log1pl (long double x); Returns the natural logarithm of one plus x. For small magnitude values of x, logp1 may be more accurate than log (1+x). Header <tgmath.h> provides a type-generic macro version of this function. Value whose logarithm is calculated.

2024年5月27日 · numpy.log1p (x) helps find the natural logarithm of a number plus one. It’s better for small numbers because it keeps the precision, unlike adding 1 first and then finding the logarithm. The syntax of the given function looks like this: Let’s discuss each parameter:

2013年11月10日 · numpy.log1p¶ numpy.log1p(x [, out]) = <ufunc 'log1p'>¶ Return the natural logarithm of one plus the input array, element-wise. Calculates log(1 + x).