rdoc/diff.rdoc in rb-gsl-1.15.3.1 vs rdoc/diff.rdoc in rb-gsl-1.15.3.2
- old
+ new
@@ -3,12 +3,12 @@
# The functions described in this chapter compute numerical derivatives by
# finite differencing. An adaptive algorithm is used to find the best choice
# of finite difference and to estimate the error in the derivative.
#
# Contentes:
-# 1. {Deriv methods}[link:files/rdoc/diff_rdoc.html#1]
-# 1. {Diff methods}[link:files/rdoc/diff_rdoc.html#2]
+# 1. {Deriv methods}[link:rdoc/diff_rdoc.html#1]
+# 1. {Diff methods}[link:rdoc/diff_rdoc.html#2]
#
# == {}[link:index.html"name="1] Deriv methods (for GSL 1.4.90 or later)
# Numerical derivatives should now be calculated using the
# <tt>GSL::Deriv.forward, GSL::Deriv.central</tt> and <tt>GSL::Deriv.backward</tt> methods,
# which accept a step-size argument in addition to the position x. The
@@ -71,11 +71,11 @@
#
# ---
# * GSL::Diff.central(f, x)
# * GSL::Function#diff_central(x)
#
-# These compute the numerical derivative of the function <tt>f</tt> ( {GSL::Function}[link:files/rdoc/function_rdoc.html] object) at the point <tt>x</tt>
+# These compute the numerical derivative of the function <tt>f</tt> ( {GSL::Function}[link:rdoc/function_rdoc.html] object) at the point <tt>x</tt>
# using an adaptive central difference algorithm. The result is returned as an array
# which contains the derivative and an estimate of its absolute error.
#
# ---
# * GSL::Diff.forward(f, x)
@@ -122,12 +122,12 @@
#
# x = 0.0
# f'(x) = 0.0000000160 +/- 0.0000000339
# exact = 0.0000000000
#
-# {prev}[link:files/rdoc/interp_rdoc.html]
-# {next}[link:files/rdoc/cheb_rdoc.html]
+# {prev}[link:rdoc/interp_rdoc.html]
+# {next}[link:rdoc/cheb_rdoc.html]
#
-# {Reference index}[link:files/rdoc/ref_rdoc.html]
-# {top}[link:files/rdoc/index_rdoc.html]
+# {Reference index}[link:rdoc/ref_rdoc.html]
+# {top}[link:index.html]
#
#