From 7f15bb80299032906b2fbfffef35bf8ebfb578f2 Mon Sep 17 00:00:00 2001 From: conrad Date: Mon, 2 Jan 2023 13:52:40 +1000 Subject: [PATCH] better layout --- docs.html | 30 ++++++++++++++++++++---------- 1 file changed, 20 insertions(+), 10 deletions(-) diff --git a/docs.html b/docs.html index a0e69cbc..32c3da61 100644 --- a/docs.html +++ b/docs.html @@ -9255,9 +9255,13 @@ See also:
-
  • Caveat: if matrix A is symmetric, using expmat_sym() is faster
  • -
    -
  • Caveat: the matrix exponential operation is generally not the same as applying the exp() function to each element
  • +
  • +Caveats: + +

  • Examples: @@ -10262,9 +10266,12 @@ See also:

  • -
  • Caveat: if matrix A is symmetric positive definite, using logmat_sympd() is faster
  • -
    -
  • Caveat: the matrix logarithm operation is generally not the same as applying the log() function to each element
  • +
  • Caveats: + +

  • Examples: @@ -11435,9 +11442,12 @@ See also: If matrix A appears to be singular, an approximate square root is attempted; additionally, sqrtmat(B,A) returns a bool set to false

  • -
  • Caveat: if matrix A is symmetric positive definite, using sqrtmat_sympd() is faster
  • -
    -
  • Caveat: the square root of a matrix is generally not the same as applying the sqrt() function to each element
  • +
  • Caveats: + +

  • Examples: @@ -12913,7 +12923,7 @@ Inverse of symmetric/hermitian positive definite matrix A
    - +
    inv_opts::no_ugly   do not provide inverses for poorly conditioned matrices (where rcond < A.n_rows · datum::eps)
    inv_opts::no_ugly   do not provide inverses for poorly conditioned matrices (where rcond < A.n_rows · datum::eps)
    inv_opts::allow_approx   allow approximate inverses for rank deficient or poorly conditioned symmetric matrices
    inv_opts::tiny   use fast inverse algorithm for tiny matrices (with size ≤ 4x4); may produce lower quality inverses