reimplemented gradient ascent as central finite differences method
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@@ -13,7 +13,6 @@ classdef miSim
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agents = cell(0, 1); % agents that move within the domain
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adjacency = NaN; % Adjacency matrix representing communications network graph
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constraintAdjacencyMatrix = NaN; % Adjacency matrix representing desired lesser neighbor connections
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sensorPerformanceMinimum = 1e-6; % minimum sensor performance to allow assignment of a point in the domain to a partition
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partitioning = NaN;
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perf; % sensor performance timeseries array
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performance = 0; % simulation performance timeseries vector
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