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] # #