/home/ayonga/.dropboxes/business/Dropbox/research/dzopt/frost/matlab/utils/sim Directory Reference

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Files
file	even_sample.m

file	even_sample_fields.m

file	horzcat_domains.m
	Horizontally concatenate vectors resulting from a multi-domain ODE integration. Eliminate non-unique points by excluding points in between each data set (for steps 1 .. N-1, remove last point, so it's right continuous*) useful for interpolation. Since it's varargin, call via argument expansion: horzcat_domains(data.steps.ts) horzcat(dataCell{:}) Example: horzcat_domains([1, 2, 3; 10, 20, 30], [3, 4, 5, 6; 30, 40, 50 60]) 1 2 3 4 5 6 10 20 30 40 50 60 For now, this will reject any empty matrices, since that doesn't make sense since an initial condition is always present. Can test resulting thing with (there should be no indices) [row, col] = find(diff(results, 1, 2) == 0); [row, col]

file	horzcat_fields.m
	Take a struct array and return one structure with all fields horizcontall concatenated.

file	horzcat_fields_domains.m

file	outputfcn.m

file	stopOutFun.m

file	vertcat_domains.m
	Vertically concatenate vectors resulting from a multi-domain ODE integration. Eliminate non-unique points by excluding points in between each data set (for steps 1 .. N-1, remove last point, so it's right continuous*) useful for interpolation. Since it's varargin, call via argument expansion: horzcat_domains(data.steps.ts) horzcat(dataCell{:}) Example: horzcat_domains([1, 2, 3; 10, 20, 30], [3, 4, 5, 6; 30, 40, 50 60]) 1 2 3 4 5 6 10 20 30 40 50 60 For now, this will reject any empty matrices, since that doesn't make sense since an initial condition is always present. Can test resulting thing with (there should be no indices) [row, col] = find(diff(results, 1, 2) == 0); [row, col]

file	vertcat_fields_domains.m

Files