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] # #