[regression] first part n-dim minimization

regression/code/plotgradientdescentcubic.m

@@ -1,4 +1,4 @@
-meansquarederrorline                % generate data
+meansquarederrorline;               % generate data
 
 c0 = 2.0;
 eps = 0.0001;
@@ -21,9 +21,8 @@ hold on;
 % generate x-values for plottig the fit:
 xx = min(x):0.01:max(x);
 yy = cest * xx.^3;
-plot(xx, yy, 'displayname', 'fit');
-plot(x, y, 'o', 'displayname', 'data'); % plot original data
+plot(xx, yy);
+plot(x, y, 'o');                    % plot original data
 xlabel('Size [m]');
 ylabel('Weight [kg]');
-legend("location", "northwest");
-pause
+legend('fit', 'data', 'location', 'northwest');