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 > Overview > Examples > Performance > Analysis Functions > Data Visualization > The O-Matrix Language > Data Manipulation/IO > Application Development > Using Matlab m-files

 ROSEN.OMS Script File: ```# Description: # Plots a surface of Rosenbrock's function. # clear # Evaluate Rosenbrock's function on an x - y grid. # size of grid in x direction N = 21 # size of grid in y direction M = 21 # column vector grid on [ -1.5, 1.5] x = (seq(N) - 1) * 2. / (N - 1) - 1. # row vector grid on [ -1.5, 1.5] y = (seq(M)' - 1) * 2. / (M - 1) - 1. # value of x for each matrix element X = fillcols(x, M) # value of y for each matrix element Y = fillrows(y, N) # value of Rosenbrock's function R = ( 10 * (Y - X^2) )^2 + ( 1 - X )^2 # avoid zero for log plotting R = nozero(R, 1e-2) # # Surface plot # title for this viewport gtitle("Rosenbrock's Function") # log scale the z axis gzaxis("log", 1e-2, 1e+3) # use exponential format for z axis gztick("e10.1") # choose seven colors and six corresponding level values color = { "red", "maroon", "lime", "green", "navy", "blue", "black"} gcolor(color) # contour and surface levels level = 100 * (seq(6) / 6.)^2 glevel(level) # surface uses seven colors and six levels # because color changes at each level surface(R, "levels", x, y) # contour uses six colors, one for each level contour(R, level, x, y, 1e-2) ``` Output: