rdoc/linalg.rdoc in rb-gsl-1.15.3.1 vs rdoc/linalg.rdoc in rb-gsl-1.15.3.2
- old
+ new
@@ -1,24 +1,24 @@
#
# = Linear Algebra
#
# Contents:
-# 1. {LU Decomposition}[link:files/rdoc/linalg_rdoc.html#1]
-# 1. {QR Decomposition}[link:files/rdoc/linalg_rdoc.html#2]
-# 1. {QR Decomposition with Column Pivoting}[link:files/rdoc/linalg_rdoc.html#3]
-# 1. {Singular Value Decomposition}[link:files/rdoc/linalg_rdoc.html#4]
-# 1. {Cholesky Decomposition}[link:files/rdoc/linalg_rdoc.html#5]
-# 1. {Tridiagonal Decomposition of Real Symmetric Matrices}[link:files/rdoc/linalg_rdoc.html#6]
-# 1. {Tridiagonal Decomposition of Hermitian Matrices}[link:files/rdoc/linalg_rdoc.html#7]
-# 1. {Hessenberg Decomposition of Real Matrices}[link:files/rdoc/linalg_rdoc.html#8]
-# 1. {Hessenberg-Triangular Decomposition of Real Matrices}[link:files/rdoc/linalg_rdoc.html#9]
-# 1. {Bidiagonalization}[link:files/rdoc/linalg_rdoc.html#10]
-# 1. {Householder Transformations}[link:files/rdoc/linalg_rdoc.html#11]
-# 1. {Householder solver for linear systems}[link:files/rdoc/linalg_rdoc.html#12]
-# 1. {Tridiagonal Systems}[link:files/rdoc/linalg_rdoc.html#13]
-# 1. {Balancing}[link:files/rdoc/linalg_rdoc.html#14]
-# 1. {NArray}[link:files/rdoc/linalg_rdoc.html#15]
+# 1. {LU Decomposition}[link:rdoc/linalg_rdoc.html#1]
+# 1. {QR Decomposition}[link:rdoc/linalg_rdoc.html#2]
+# 1. {QR Decomposition with Column Pivoting}[link:rdoc/linalg_rdoc.html#3]
+# 1. {Singular Value Decomposition}[link:rdoc/linalg_rdoc.html#4]
+# 1. {Cholesky Decomposition}[link:rdoc/linalg_rdoc.html#5]
+# 1. {Tridiagonal Decomposition of Real Symmetric Matrices}[link:rdoc/linalg_rdoc.html#6]
+# 1. {Tridiagonal Decomposition of Hermitian Matrices}[link:rdoc/linalg_rdoc.html#7]
+# 1. {Hessenberg Decomposition of Real Matrices}[link:rdoc/linalg_rdoc.html#8]
+# 1. {Hessenberg-Triangular Decomposition of Real Matrices}[link:rdoc/linalg_rdoc.html#9]
+# 1. {Bidiagonalization}[link:rdoc/linalg_rdoc.html#10]
+# 1. {Householder Transformations}[link:rdoc/linalg_rdoc.html#11]
+# 1. {Householder solver for linear systems}[link:rdoc/linalg_rdoc.html#12]
+# 1. {Tridiagonal Systems}[link:rdoc/linalg_rdoc.html#13]
+# 1. {Balancing}[link:rdoc/linalg_rdoc.html#14]
+# 1. {NArray}[link:rdoc/linalg_rdoc.html#15]
#
# == {}[link:index.html"name="1] LU Decomposition
# ---
# * GSL::Linalg::LU.decomp(A)
# * GSL::Matrix#LU_decomp
@@ -100,11 +100,11 @@
# * GSL::Matrix#det
# * GSL::Linalg::LUMatrix#det(signum)
#
# These methods return the determinant of the matrix.
#
-# === {}[link:index.html"name="1.1] {Complex LU decomposition}[link:files/rdoc/linalg_complex_rdoc.html]
+# === {}[link:index.html"name="1.1] {Complex LU decomposition}[link:rdoc/linalg_complex_rdoc.html]
#
# == {}[link:index.html"name="2] QR decomposition
#
# ---
# * GSL::Linalg::QR_decomp(A)
@@ -364,11 +364,11 @@
# * GSL::Linalg::Cholesky.svx(cholesky, x)
#
# These methods solve the system <tt>A x = b</tt> using the Cholesky decomposition
# of <tt>A</tt> into the matrix <tt>cholesky</tt> given by <tt>GSL::Linalg::Cholesky.decomp</tt>.
#
-# === {}[link:index.html"name="5.1] {Complex Cholesky decomposition}[link:files/rdoc/cholesky_complex_rdoc.html]
+# === {}[link:index.html"name="5.1] {Complex Cholesky decomposition}[link:rdoc/cholesky_complex_rdoc.html]
#
# == {}[link:index.html"name="6] Tridiagonal Decomposition of Real Symmetric Matrices
# ---
# * GSL::Linalg::Symmtd::decomp(A)
#
@@ -670,12 +670,12 @@
# * Cholesky.svx(u, v, s, bx)
# * HH::
# * HH.solve(m, b)
# * HH.svx(m, bx)
#
-# {prev}[link:files/rdoc/blas_rdoc.html]
-# {next}[link:files/rdoc/eigen_rdoc.html]
+# {prev}[link:rdoc/blas_rdoc.html]
+# {next}[link:rdoc/eigen_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]
#
#