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    <p>I would say, the first thing to pin down before thinking of optimisation is the scope and intended purpose of your library. For example, is this library 2D or 3D does it includes geometrical algorithms, like convex hull? </p> <p>Like most people developing such library you will run into a few unavoidable issues. Things like precisions errors can definitely drive you mad at times. Beware of degenerated triangles as well.</p> <p>Consider algorithms that include an epsilon or tolerance carefully. This is a neat feature to have, but it will make your algorithms more complex.</p> <p>If you venture in the world of 3D, treat point and vector differently (this is one of the most common issue in 3D math). Consider meta programming for template multiplications (this one will get flamed I feel it) as it can considerably speed up rendering.</p> <p>In general, try to avoid virtual calls for anything but substantial algorithms, small classes like vectors or points should not be inherited (another flaming opportunity).</p> <p>I would say, start by sticking to good development practice, read Efficient C++ and More Efficient C++ by Scott Meyers and If you take short cuts like comparing the squared value to avoid a square root calculation, comment your code so future developer can understand the maths.</p> <p>Finally, do not try to over optimize up front, use a profiler for this. Personally I often start by coding the most elegant solution (should I say what I consider the most elegant solution) and then optimize, you will be surprised at how good a job the C++ optimizer often do.</p> <p>Hope this helps</p> <p>Martin</p>
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    1. CORegarding virtual calls, I would say that if the useful task being performed *per* virtual call is substantially large enough, then the overhead of virtual call can be relatively insignificant. Therefore, try to "pack" several relevant operations into each virtual call.
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    2. COKeep both the elegant source code and the hand-optimized source code. I've seen developers delete the elegant versions from source control - this takes away the context needed for later developers to understand the optimized version (and also loses the baseline for comparison).
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