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)
More...[row, col] = find(diff(results, 1, 2) == 0); [row, col]
Functions | |
| function X = | horzcat_domains (varargin) |
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:
Example:
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) More... | |
Detailed Description
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]
- Right continuity, see [Grizzle p85]
Function Documentation
◆ horzcat_domains()
| function X = horzcat_domains | ( | varargin | ) |
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]
- Right continuity, see [Grizzle p85]