Lines Matching refs:log
6716 # 1.3 If |X| < 16380 log(2), go to Step 2. #
6727 # 16380 log(2) used in Step 1.3 is also in the compact #
6729 # |X| < 16380 log(2). There is no harm to have a small #
6731 # 16380 log(2) and the branch to Step 9 is taken. #
6747 # constant := single-precision( 64/log 2 ). #
7963 # slognp1(): computes the log(1+X) of a normalized input #
7964 # slognp1d(): computes the log(1+X) of a denormalized input #
7971 # fp0 = log(X) or log(1+X) #
7981 # Step 1. If |X-1| < 1/16, approximate log(X) by an odd #
7990 # Step 3. Define u = (Y-F)/F. Approximate log(1+u) by a #
7991 # polynomial in u, log(1+u) = poly. #
7994 # log(X) = log( 2**k * Y ) = k*log(2) + log(F) + log(1+u) #
7995 # by k*log(2) + (log(F) + poly). The values of log(F) are #
7999 # Step 1: If |X| < 1/16, approximate log(1+X) by an odd #
8005 # log(1+X) as k*log(2) + log(F) + poly where poly #
8006 # approximates log(1+u), u = (Y-F)/F. #
8010 # log(F)'s need to be tabulated. Moreover, the values of #
8673 # Step 1. Call slognd to obtain Y = log(X), the natural log of X. #
8674 # Notes: Even if X is denormalized, log(X) is always normalized. #
8676 # Step 2. Compute log_10(X) = log(X) * (1/log(10)). #
8687 # Step 1. Call sLogN to obtain Y = log(X), the natural log of X. #
8689 # Step 2. Compute log_10(X) = log(X) * (1/log(10)). #
8700 # Step 1. Call slognd to obtain Y = log(X), the natural log of X. #
8701 # Notes: Even if X is denormalized, log(X) is always normalized. #
8703 # Step 2. Compute log_10(X) = log(X) * (1/log(2)). #
8722 # Step 3. Call sLogN to obtain Y = log(X), the natural log of X. #
8724 # Step 4. Compute log_2(X) = log(X) * (1/log(2)). #
8747 bsr slogn # log(X), X normal.
8759 bsr slognd # log(X), X denorm.
8789 bsr slogn # log(X), X normal.
8804 bsr slognd # log(X), X denorm.
8844 # 1. If |X| > 16480*log_10(2) (base 10 log of 2), go to ExpBig. #
8848 # 3. Set y := X*log_2(10)*64 (base 2 log of 10). Set #
10158 # so that the operating system can log the event. #