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reimplemented gradient ascent as central finite differences method

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Kevin Dee
2026-01-11 12:42:48 -08:00
parent c47b7229ba
commit ec202d7790
12 changed files with 101 additions and 176 deletions
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3
@sensingObjective/sensingObjective.m
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@@ -10,10 +10,11 @@ classdef sensingObjective
Y = [];
values = [];
protectedRange = 1; % keep obstacles from crowding objective
sensorPerformanceMinimum = 1e-6; % minimum sensor performance to allow assignment of a point in the domain to a partition
end
methods (Access = public)
[obj] = initialize(obj, objectiveFunction, domain, discretizationStep, protectedRange);
[obj] = initialize(obj, objectiveFunction, domain, discretizationStep, protectedRange, sensorPerformanceMinimum);
[obj] = initializeRandomMvnpdf(obj, domain, protectedRange, discretizationStep, protectedRange);
[f ] = plot(obj, ind, f);
end