Merge pull request #19691 from JuliaLang/ksh/docattack

More cross refs and doctests for linalg

Author: kshyatt

base/docs/helpdb/Base.jl

@@ -2616,23 +2616,6 @@ algorithms. See [`muladd`](@ref).
 """
 fma
 
-"""
-
-    eigvals(A,[irange,][vl,][vu]) -> values
-
-Returns the eigenvalues of `A`. If `A` is `Symmetric`, `Hermitian` or `SymTridiagonal`,
-it is possible to calculate only a subset of the eigenvalues by specifying either a
-`UnitRange` `irange` covering indices of the sorted eigenvalues, or a pair `vl` and `vu`
-for the lower and upper boundaries of the eigenvalues.
-
-For general non-symmetric matrices it is possible to specify how the matrix is balanced
-before the eigenvector calculation. The option `permute=true` permutes the matrix to
-become closer to upper triangular, and `scale=true` scales the matrix by its diagonal
-elements to make rows and columns moreequal in norm. The default is `true` for both
-options.
-"""
-eigvals
-
 """
     copy!(dest, src)
 

base/linalg/arnoldi.jl

@@ -349,9 +349,9 @@ X = sprand(10, 5, 0.2)
 svds(X, nsv = 2)
 ```
 
-**Implementation note**
+!!! note "Implementation"
 
-`svds(A)` is formally equivalent to calling `eigs` to perform implicitly restarted
+`svds(A)` is formally equivalent to calling [`eigs`](@ref) to perform implicitly restarted
 Lanczos tridiagonalization on the Hermitian matrix
 ``\\begin{pmatrix} 0 & A^\\prime \\\\ A & 0 \\end{pmatrix}``, whose eigenvalues are
 plus and minus the singular values of ``A``.