}
private static float[] coeff = null;
+ private static LinearProgramming.Simplex lp_h = new LinearProgramming.Simplex(50, 50, 300);
+ private static LinearProgramming.Simplex lp_v = new LinearProgramming.Simplex(50, 50, 300);
+
void place_children() {
- LinearProgramming.Problem lpr_h;
- LinearProgramming.Problem lpr_v;
int numkids = 0; for(Box c = firstPackedChild(); c != null; c = c.nextPackedSibling()) numkids++;
//#repeat col/row colspan/rowspan contentwidth/contentheight width/height \
- // maxwidth/maxheight cols/rows minwidth/minheight lp_h/lp_v lpr_h/lpr_v
+ // maxwidth/maxheight cols/rows minwidth/minheight lp_h/lp_v lp_h/lp_v
do {
int nc = numkids * 2 + cols * 3 + 1 + 2;
if (coeff == null || nc+1>coeff.length) coeff = new float[nc+1];
- LinearProgramming.Simplex lp_h = new LinearProgramming.Simplex();
- lpr_h = new LinearProgramming.Problem(nc, nc);
+ lp_h.init(nc, nc);
// objective function
for(int i=0; i<coeff.length; i++) coeff[i] = (float)0.0;
coeff[cols*2+numkids] = (float)-100000.0; // priority 1: sum of columns equals parent
- for(int i=cols*2; i<cols*2+numkids; i++) coeff[i] = (float)-1000.0; // priority 2: honor maxwidths
+ for(int i=cols*2; i<cols*2+numkids; i++) coeff[i] = (float)-1000.0; // priority 2: honor maxwidths
for(int i=cols; i<cols*2; i++) coeff[i] = (float)(-1.0); // priority 3: equalize columns
- lp_h.set_obj_fn(lpr_h, coeff);
- lp_h.set_maxim(lpr_h);
+ lp_h.setObjective(coeff, true);
// priority 1: sum of columns at least as big as parent
for(int i=0; i<coeff.length; i++) coeff[i] = (i<cols) ? (float)1.0 : (float)0.0;
- lp_h.add_constraint(lpr_h, coeff, LinearProgramming.GE, (float)width);
+ lp_h.add_constraint(coeff, LinearProgramming.GE, (float)width);
for(int i=0; i<coeff.length; i++) coeff[i] = (i<cols) ? (float)1.0 : (float)0.0;
coeff[cols*2+numkids] = (float)1.0;
- lp_h.add_constraint(lpr_h, coeff, LinearProgramming.EQ, (float)width);
+ lp_h.add_constraint(coeff, LinearProgramming.EQ, (float)width);
// priority 2: honor maxwidths
int childnum = 0;
for(Box child = firstPackedChild(); child != null; child = child.nextPackedSibling()) {
for(int i=0; i<coeff.length; i++)
coeff[i] = (i>=child.col && i<min(child.colspan+child.col, cols)) ? (float)1.0 : (float)0.0;
- lp_h.add_constraint(lpr_h, coeff, LinearProgramming.GE, (float)child.contentwidth);
+ lp_h.add_constraint(coeff, LinearProgramming.GE, (float)child.contentwidth);
if (child.maxwidth < Integer.MAX_VALUE) {
for(int i=0; i<coeff.length; i++)
coeff[i] = (i>=child.col && i<min(child.colspan+child.col, cols)) ? (float)1.0 : (float)0.0;
coeff[cols*2+childnum] = (float)-1.0;
- lp_h.add_constraint(lpr_h, coeff, LinearProgramming.EQ, (float)child.maxwidth);
+ lp_h.add_constraint(coeff, LinearProgramming.EQ, (float)child.maxwidth);
}
for(int j=0; j<coeff.length; j++) coeff[j] = (float)0.0;
childnum++;
// priority 3: equalize columns
for(int i=0 ; i<cols; i++) {
- lp_h.set_lowbo(lpr_h, i+1, (float)0.0);
- lp_h.bound_difference(lpr_h, i, cols+i, ((float)width)/((float)cols), LinearProgramming.LE, coeff);
- lp_h.bound_sum( lpr_h, i, cols+i, ((float)width)/((float)cols), LinearProgramming.GE, coeff);
+ lp_h.set_lowbo(i+1, (float)0.0);
+ lp_h.bound_difference(i, cols+i, ((float)width)/((float)cols), LinearProgramming.LE, coeff);
+ lp_h.bound_sum( i, cols+i, ((float)width)/((float)cols), LinearProgramming.GE, coeff);
}
- lp_h.solve(lpr_h);
+ lp_h.solve();
} while(false);
//#end
int diff;
//#repeat col/row colspan/rowspan contentwidth/contentheight width/height colMaxWidth/rowMaxHeight \
// child_x/child_y x/y HSHRINK/VSHRINK maxwidth/maxheight cols/rows minwidth/minheight x_slack/y_slack \
- // child_width/child_height ALIGN_RIGHT/ALIGN_BOTTOM ALIGN_LEFT/ALIGN_TOP lpr_h/lpr_v
+ // child_width/child_height ALIGN_RIGHT/ALIGN_BOTTOM ALIGN_LEFT/ALIGN_TOP lp_h/lp_v
child_width = 0;
child_x = 0;
- for(int i=0; i < child.col; i++) child_x += Math.round(lpr_h.solution[lpr_h.rows+i+1]);
- for(int i = child.col; i<child.col + child.colspan; i++) child_width += Math.round(lpr_h.solution[lpr_h.rows+i+1]);
+ for(int i=0; i < child.col; i++) child_x += Math.round(lp_h.solution[lp_h.rows+i+1]);
+ for(int i = child.col; i<child.col + child.colspan; i++) child_width += Math.round(lp_h.solution[lp_h.rows+i+1]);
diff = (child_width - min(child_width, child.test(HSHRINK) ? child.contentwidth : child.maxwidth));
child_x += (child.test(ALIGN_RIGHT) ? diff : child.test(ALIGN_LEFT) ? 0 : diff / 2);
child_width = min(child_width, child.test(HSHRINK) ? child.contentwidth : child.maxwidth);