diff --git a/docs.html b/docs.html index feb2e98a..c6d1d3be 100644 --- a/docs.html +++ b/docs.html @@ -1812,7 +1812,7 @@ Constructors, where object_type is another class, eg. vec, mat<
  • -Caveat: to store a set of matrices of the same size, the Cube class is more efficient +Caveat: to store a set of matrices of the same size, the Cube class is more efficient

  • @@ -7108,7 +7108,7 @@ the above settings can be combined using the + operator; for exampl

  • -Caveat: +Caveat: for saving / loading HDF5 files, support for HDF5 must be enabled within Armadillo's configuration; the hdf5.h header file must be available on your system and you will need to link with the HDF5 library (eg. -lhdf5)
    • @@ -8940,7 +8940,7 @@ See also:
    -
  • Caveat: log_det() is preferred, as it's less likely to suffer from numerical underflows/overflows
    • +
  • Caveat: log_det() is preferred, as it's less likely to suffer from numerical underflows/overflows

  • Examples: @@ -9218,9 +9218,9 @@ See also:

    • -
  • Caveat: if matrix A is symmetric, using expmat_sym() is faster
    • +
  • 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
    • +
  • Caveat: the matrix exponential operation is generally not the same as applying the exp() function to each element

  • Examples: @@ -9267,10 +9267,10 @@ See also:

    • -
  • Caveat: the matrix exponential operation is generally not the same as applying the exp() function to each element
    • +
  • Caveat: the matrix exponential operation is generally not the same as applying the exp() function to each element

  • Examples: @@ -10225,9 +10225,9 @@ See also:

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

  • Examples: @@ -10271,10 +10271,10 @@ See also:

    • -
  • Caveat: the matrix logarithm operation is generally not the same as applying the log() function to each element
    • +
  • Caveat: the matrix logarithm operation is generally not the same as applying the log() function to each element

  • Examples: @@ -11400,9 +11400,9 @@ 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: 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
    • +
  • Caveat: the square root of a matrix is generally not the same as applying the sqrt() function to each element

  • Examples: @@ -11448,10 +11448,10 @@ See also:

    • -
  • Caveat: the matrix square root operation is generally not the same as applying the sqrt() function to each element
    • +
  • Caveat: the matrix square root operation is generally not the same as applying the sqrt() function to each element

  • Examples: