The Contour
class takes a function 'f' and diplays color-coded values for
'f(x, y)' over a two dimensional grid defined the lower 'lb' and upper 'ub' bounds.
The Contour
class takes a function 'f' and diplays color-coded values for
'f(x, y)' over a two dimensional grid defined the lower 'lb' and upper 'ub' bounds.
An optional path is included that can be used to show, for example, the
search path taken by an optimzer (e.g., a Conjugate Gradient NLP solver).
The Plot
class takes 'x' and 'y' vectors of data values and plots the '(x, y)'
data points.
The Plot
class takes 'x' and 'y' vectors of data values and plots the '(x, y)'
data points. Optionally, a 'z' vector may be plotted with 'y'. Note, axes are
determined by the 'x' and 'y' vectors only. For more vertical vectors use PlotM.
The PlotM
class takes an 'x' vector and a 'y' matrix of data values and plots
the '(x, y_i)' data points for each row 'y_i' of the matrix.
The ContourTest
object is used to test the Contour
class.
The PlotM
companion object provides a builder method for plotting several
'y' vectors versus an 'x' vector.
The PlotMTest
object is used to test the PlotM
class.
The PlotTest
object is used to test the Plota
class.
The plot package contains classes, traits and objects for simple plotting of x-y data.