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lines changed Original file line number Diff line number Diff line change 99Great, you've learned how to use LinearSolve.jl and you're using it daily,
1010either directly or through other SciML libraries, and you want to improve
1111your performance. How can this be done? While it might seem at first like a
12- hopeless endevour , "A\b uses a BLAS library and so it's already highly optimized
12+ hopeless endeavour , "A\b uses a BLAS library and so it's already highly optimized
1313C code", it turns out there are many factors you need to consider to squeeze out
1414the last 10x of performance. And yes, it can be about a factor of 10 in some
1515scenarios, so let's dive in.
Original file line number Diff line number Diff line change @@ -57,7 +57,7 @@ function kluerror(status::Integer)
5757 elseif status == KLU_INVALID
5858 throw (ArgumentError (" Invalid Status" ))
5959 elseif status == KLU_TOO_LARGE
60- throw (OverflowError (" Integer overflow has occured " ))
60+ throw (OverflowError (" Integer overflow has occurred " ))
6161 else
6262 throw (ErrorException (" Unknown KLU error code: $status " ))
6363 end
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