adjusted partitioning to allow non-assignment
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@@ -9,6 +9,7 @@ function obj = partition(obj)
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% Assess sensing performance of each agent at each sample point
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% in the domain
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agentPerformances = cellfun(@(x) reshape(x.sensorModel.sensorPerformance(x.pos, x.pan, x.tilt, [obj.objective.X(:), obj.objective.Y(:), zeros(size(obj.objective.X(:)))]), size(obj.objective.X)), obj.agents, 'UniformOutput', false);
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agentPerformances{end + 1} = obj.sensorPerformanceMinimum * ones(size(agentPerformances{end})); % add additional layer to represent the threshold that has to be cleared for assignment to any partiton
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agentPerformances = cat(3, agentPerformances{:});
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% Get highest performance value at each point
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@@ -16,6 +17,7 @@ function obj = partition(obj)
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% Collect agent indices in the same way
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agentInds = cellfun(@(x) x.index * ones(size(obj.objective.X)), obj.agents, 'UniformOutput', false);
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agentInds{end + 1} = zeros(size(agentInds{end})); % index for no assignment
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agentInds = cat(3, agentInds{:});
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% Get highest performing agent's index
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