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| // Results from Benchmark.NET | |
| // | Method | Mean | Error | StdDev | Min | Max | | |
| // |--------------- |---------:|--------:|--------:|---------:|---------:| | |
| // | FindRecipe | 304.3 ns | 0.76 ns | 0.71 ns | 303.2 ns | 305.8 ns | | |
| // | FastFindRecipe | 125.6 ns | 0.27 ns | 0.25 ns | 125.3 ns | 126.1 ns | | |
| using BenchmarkDotNet.Attributes; | |
| using BenchmarkDotNet.Running; | |
| using System.Diagnostics.CodeAnalysis; |
ambrosiogabe
/ How "slow" is brute force?.cpp
Last active
January 30, 2023 15:28
A bunch of smart YouTube viewers said my algorithm is horribly inefficient since it was O(n) and I could have used a hash reducing it to O(1). Well, it turns out they were right, except somehow they forgot to account for the data set size which is a big impact on how slow the algorithm *actually* is. Whoopsy!
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| // System Specs | |
| // ============ | |
| // These benchmarks were run on an Intel i7-9700k @ 3.6 GHz | |
| // | |
| // How it was run | |
| // =============== | |
| // The correct recipe is at the very end of the list of recipes. Which means this must run | |
| // through the entire list, the worst case scenario. The rest of the recipes are randomized | |
| // to offer some variation, but I don't set the slots where the correct recipe has the correct slots. | |
| // to ensure we don't accidentally exit early. |