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index a0e69cbc..32c3da61 100644
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@@ -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:
+
+- the matrix exponential operation is generally not the same as applying the exp() function to each element
+- if matrix A is symmetric, using expmat_sym() is faster
+
+
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:
+
+- the matrix logarithm operation is generally not the same as applying the log() function to each element
+- if matrix A is symmetric positive definite, using logmat_sympd() is faster
+
+
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:
+
+- the square root of a matrix is generally not the same as applying the sqrt() function to each element
+- if matrix A is symmetric positive definite, using sqrtmat_sympd() is faster
+
+
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 |