Getting Started
To get started, you need your experimental algorithm
- usually novel algorithm, or variant of existing one
- e.g. new heuristic in existing search algorithm
- novelty of algorithm should imply extra care
- more often, encourages lax implementation
- it’s only a preliminary version
Don’t Trust Yourself
- bug in innermost loop found by chance
- all experiments re run with urgent deadline
- curiously, sometimes bugged version was better!