54 lines
1.2 KiB
Go
54 lines
1.2 KiB
Go
// Copyright 2022 wanderer <a_mirre at utb dot cz>
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// SPDX-License-Identifier: GPL-3.0-or-later
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package algo
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import (
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"sync"
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"git.dotya.ml/wanderer/math-optim/bench"
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"git.dotya.ml/wanderer/math-optim/stats"
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)
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// Values type is just a fancy named []float64 that will allow us to define
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// methods over it.
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type Values []float64
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var picPath = "res/"
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// DoRandomSearch executes a search using the 'Random search' method.
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func DoRandomSearch(wg *sync.WaitGroup) {
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defer wg.Done()
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printRandomSearch("starting...")
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// funcCount is the number of bench functions available.
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funcCount := len(bench.Functions)
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// stats for the current algo (RandomSearch).
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algoStats := make([][]stats.Stats, funcCount)
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for i := range algoStats {
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// ng y'all.
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algoStats[i] = RandomSearchNG(10000, 30, []int{5, 10, 20}, bench.FuncNames[i])
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}
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for i := range algoStats {
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plotAllDims(algoStats[i], "plot", ".svg")
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}
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stats.PrintStatisticTable(algoStats)
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}
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// DoStochasticHillClimbing performs a search using the 'Stochastic Hill
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// Climbing' method.
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func DoStochasticHillClimbing(wg *sync.WaitGroup) {
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defer wg.Done()
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printSHC("starting...")
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}
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func newValues() *Values {
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var v Values
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return &v
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}
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