Window

class Window
Macrostate ranges are often broken into separate windows for parallelization. The relative size of these windows can be optimized depending upon the system.
A segment is a countinuous, theoretical formula for analytically spacing macrostate ranges. This line segment includes both the minimum, maximum, and intermediate values. Thus, a 4 window segment would contain 5 values.
Boundaries are integer macrostate minimums and maximums utilized by each window. Thus, 4 window boundaries would contain 4 min and max values. Boundaries use the given line segment, either from formula or user input, and then account for rounding and extra overlap between windows.
For example, 4 windows with segments given by [0, 100.00, 141.42, 173.21, 200] with 5 overlap and rounding would result in the following boundaries: [[0, 100], [96, 141], [137, 173], [169, 200]] where each of the 4 window is expressed as a [min, max] pair.
In order to recover the free energy over all of the windows, it is possible to splice either (1) the probability distribution or (2) the collection matrix elements.
For (1) probability distribution splicing, each window must share atleast one macrostate (overlap) with its neighbors.
For (2) collection matrix splicing, windows cannot share any macrostates but the boundaries must be adjacent and all trial moves of the windows must be exactly the same.
Subclassed by feasst::WindowCustom, feasst::WindowExponential
Public Functions

virtual int minimum() const
Return the minimum.

virtual int maximum() const
Return the maximum.

virtual int num() const
Return the number of windows.

int overlap() const
Return the overlap.

virtual std::vector<double> segment() const = 0
Return the continuous, segmented boundaries of the range. This should be return num + 1 boundaries, to include global min and max.

virtual std::vector<std::vector<int>> boundaries() const
Return the boundaries as a vector of vectors.
Arguments
minimum: minimum in macrostate range (default: 0).
maximum: maximum in macrostate range (default: 1).
num: number of windows (default: 1).
num_from_omp: obtain num from OMP threads (default: false).
overlap: number of macrostate overlaps between windows (default: 1).
min_size: minimum size of each window (default: 1).

virtual int minimum() const