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Great walkthrough on custom data structures. I have a different take on criteria.
Efficiency should always be subservient to effectiveness. Effectiveness is doing the right thing, and in the context of coding an analytic solution that means optimization for the least efficient component, which is always wetware.
Brian Kernighan nails the two key points
- If optimization has become a concern, suspect a poor choice of algorithm. (See also Donald Knuth’s cautions against premature optimization.)
- Everyone knows that it is twice as hard to debug as it is to code, so if you code as cleverly as you are capable, you will never be able to debug your code.
Would you say there's a difference in the effectiveness of the structures I compare? They all seem rather easy to use and understand to me.
Matthijs Cox Sorry. I learned a lot from your code and my comments are directly to the general question of the tradeoffs that can arise from trying to program to throughput goals. No criticisms at all of your approach.
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