>> sgmga_vcn_ordered_tests 25-Apr-2011 16:32:40 SGMGA_VCN_ORDERED_TESTS calls SGMGA_VCN_ORDERED_TEST. SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 1.000000 LEVEL_WEIGHT: 1.000000 1.000000 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN -2.000000 0 0 1 0.000000 0 0 MAX 0.000000 1 1 SGMGA_VCN_ORDERED: I Q X MIN -2.000000 0 0 1 0.000000 0 0 MAX 0.000000 1 1 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 1.000000 LEVEL_WEIGHT: 1.000000 1.000000 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN -1.000000 0 0 1 0.000000 0 0 2 1.000000 1 0 3 1.000000 0 1 MAX 1.000000 2 2 SGMGA_VCN_ORDERED: I Q X MIN -1.000000 0 0 1 0.000000 0 0 2 1.000000 1 0 3 1.000000 0 1 MAX 1.000000 2 2 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 1.000000 LEVEL_WEIGHT: 1.000000 1.000000 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN 0.000000 0 0 1 1.000000 1 0 2 1.000000 0 1 3 2.000000 2 0 4 2.000000 1 1 5 2.000000 0 2 MAX 2.000000 3 3 SGMGA_VCN_ORDERED: I Q X MIN 0.000000 0 0 1 1.000000 1 0 2 1.000000 0 1 3 2.000000 2 0 4 2.000000 1 1 5 2.000000 0 2 MAX 2.000000 3 3 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 1.000000 LEVEL_WEIGHT: 1.000000 1.000000 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN 1.000000 0 0 1 2.000000 2 0 2 2.000000 1 1 3 2.000000 0 2 4 3.000000 3 0 5 3.000000 2 1 6 3.000000 1 2 7 3.000000 0 3 MAX 3.000000 4 4 SGMGA_VCN_ORDERED: I Q X MIN 1.000000 0 0 1 2.000000 2 0 2 2.000000 1 1 3 2.000000 0 2 4 3.000000 3 0 5 3.000000 2 1 6 3.000000 1 2 7 3.000000 0 3 MAX 3.000000 4 4 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 1.000000 LEVEL_WEIGHT: 1.000000 1.000000 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN 2.000000 0 0 1 3.000000 3 0 2 3.000000 2 1 3 3.000000 1 2 4 3.000000 0 3 5 4.000000 4 0 6 4.000000 3 1 7 4.000000 2 2 8 4.000000 1 3 9 4.000000 0 4 MAX 4.000000 5 5 SGMGA_VCN_ORDERED: I Q X MIN 2.000000 0 0 1 3.000000 3 0 2 3.000000 2 1 3 3.000000 1 2 4 3.000000 0 3 5 4.000000 4 0 6 4.000000 3 1 7 4.000000 2 2 8 4.000000 1 3 9 4.000000 0 4 MAX 4.000000 5 5 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 1.000000 1.000000 LEVEL_WEIGHT: 1.000000 1.000000 1.000000 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN -3.000000 0 0 0 1 0.000000 0 0 0 MAX 0.000000 1 1 1 SGMGA_VCN_ORDERED: I Q X MIN -3.000000 0 0 0 1 0.000000 0 0 0 MAX 0.000000 1 1 1 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 1.000000 1.000000 LEVEL_WEIGHT: 1.000000 1.000000 1.000000 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN -2.000000 0 0 0 1 0.000000 0 0 0 2 1.000000 1 0 0 3 1.000000 0 1 0 4 1.000000 0 0 1 MAX 1.000000 2 2 2 SGMGA_VCN_ORDERED: I Q X MIN -2.000000 0 0 0 1 0.000000 0 0 0 2 1.000000 1 0 0 3 1.000000 0 1 0 4 1.000000 0 0 1 MAX 1.000000 2 2 2 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 1.000000 1.000000 LEVEL_WEIGHT: 1.000000 1.000000 1.000000 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN -1.000000 0 0 0 1 0.000000 0 0 0 2 1.000000 1 0 0 3 1.000000 0 1 0 4 1.000000 0 0 1 5 2.000000 2 0 0 6 2.000000 1 1 0 7 2.000000 0 2 0 8 2.000000 1 0 1 9 2.000000 0 1 1 10 2.000000 0 0 2 MAX 2.000000 3 3 3 SGMGA_VCN_ORDERED: I Q X MIN -1.000000 0 0 0 1 0.000000 0 0 0 2 1.000000 1 0 0 3 1.000000 0 1 0 4 1.000000 0 0 1 5 2.000000 2 0 0 6 2.000000 1 1 0 7 2.000000 0 2 0 8 2.000000 1 0 1 9 2.000000 0 1 1 10 2.000000 0 0 2 MAX 2.000000 3 3 3 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 1.000000 1.000000 LEVEL_WEIGHT: 1.000000 1.000000 1.000000 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN 0.000000 0 0 0 1 1.000000 1 0 0 2 1.000000 0 1 0 3 1.000000 0 0 1 4 2.000000 2 0 0 5 2.000000 1 1 0 6 2.000000 0 2 0 7 2.000000 1 0 1 8 2.000000 0 1 1 9 2.000000 0 0 2 10 3.000000 3 0 0 11 3.000000 2 1 0 12 3.000000 1 2 0 13 3.000000 0 3 0 14 3.000000 2 0 1 15 3.000000 1 1 1 16 3.000000 0 2 1 17 3.000000 1 0 2 18 3.000000 0 1 2 19 3.000000 0 0 3 MAX 3.000000 4 4 4 SGMGA_VCN_ORDERED: I Q X MIN 0.000000 0 0 0 1 1.000000 1 0 0 2 1.000000 0 1 0 3 1.000000 0 0 1 4 2.000000 2 0 0 5 2.000000 1 1 0 6 2.000000 0 2 0 7 2.000000 1 0 1 8 2.000000 0 1 1 9 2.000000 0 0 2 10 3.000000 3 0 0 11 3.000000 2 1 0 12 3.000000 1 2 0 13 3.000000 0 3 0 14 3.000000 2 0 1 15 3.000000 1 1 1 16 3.000000 0 2 1 17 3.000000 1 0 2 18 3.000000 0 1 2 19 3.000000 0 0 3 MAX 3.000000 4 4 4 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 1.000000 1.000000 LEVEL_WEIGHT: 1.000000 1.000000 1.000000 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN 1.000000 0 0 0 1 2.000000 2 0 0 2 2.000000 1 1 0 3 2.000000 0 2 0 4 2.000000 1 0 1 5 2.000000 0 1 1 6 2.000000 0 0 2 7 3.000000 3 0 0 8 3.000000 2 1 0 9 3.000000 1 2 0 10 3.000000 0 3 0 11 3.000000 2 0 1 12 3.000000 1 1 1 13 3.000000 0 2 1 14 3.000000 1 0 2 15 3.000000 0 1 2 16 3.000000 0 0 3 17 4.000000 4 0 0 18 4.000000 3 1 0 19 4.000000 2 2 0 20 4.000000 1 3 0 21 4.000000 0 4 0 22 4.000000 3 0 1 23 4.000000 2 1 1 24 4.000000 1 2 1 25 4.000000 0 3 1 26 4.000000 2 0 2 27 4.000000 1 1 2 28 4.000000 0 2 2 29 4.000000 1 0 3 30 4.000000 0 1 3 31 4.000000 0 0 4 MAX 4.000000 5 5 5 SGMGA_VCN_ORDERED: I Q X MIN 1.000000 0 0 0 1 2.000000 2 0 0 2 2.000000 1 1 0 3 2.000000 0 2 0 4 2.000000 1 0 1 5 2.000000 0 1 1 6 2.000000 0 0 2 7 3.000000 3 0 0 8 3.000000 2 1 0 9 3.000000 1 2 0 10 3.000000 0 3 0 11 3.000000 2 0 1 12 3.000000 1 1 1 13 3.000000 0 2 1 14 3.000000 1 0 2 15 3.000000 0 1 2 16 3.000000 0 0 3 17 4.000000 4 0 0 18 4.000000 3 1 0 19 4.000000 2 2 0 20 4.000000 1 3 0 21 4.000000 0 4 0 22 4.000000 3 0 1 23 4.000000 2 1 1 24 4.000000 1 2 1 25 4.000000 0 3 1 26 4.000000 2 0 2 27 4.000000 1 1 2 28 4.000000 0 2 2 29 4.000000 1 0 3 30 4.000000 0 1 3 31 4.000000 0 0 4 MAX 4.000000 5 5 5 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 1.000000 1.000000 1.000000 LEVEL_WEIGHT: 1.000000 1.000000 1.000000 1.000000 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN -2.000000 0 0 0 0 1 0.000000 0 0 0 0 2 1.000000 1 0 0 0 3 1.000000 0 1 0 0 4 1.000000 0 0 1 0 5 1.000000 0 0 0 1 6 2.000000 2 0 0 0 7 2.000000 1 1 0 0 8 2.000000 0 2 0 0 9 2.000000 1 0 1 0 10 2.000000 0 1 1 0 11 2.000000 0 0 2 0 12 2.000000 1 0 0 1 13 2.000000 0 1 0 1 14 2.000000 0 0 1 1 15 2.000000 0 0 0 2 MAX 2.000000 3 3 3 3 SGMGA_VCN_ORDERED: I Q X MIN -2.000000 0 0 0 0 1 0.000000 0 0 0 0 2 1.000000 1 0 0 0 3 1.000000 0 1 0 0 4 1.000000 0 0 1 0 5 1.000000 0 0 0 1 6 2.000000 2 0 0 0 7 2.000000 1 1 0 0 8 2.000000 0 2 0 0 9 2.000000 1 0 1 0 10 2.000000 0 1 1 0 11 2.000000 0 0 2 0 12 2.000000 1 0 0 1 13 2.000000 0 1 0 1 14 2.000000 0 0 1 1 15 2.000000 0 0 0 2 MAX 2.000000 3 3 3 3 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 1.000000 1.000000 1.000000 LEVEL_WEIGHT: 1.000000 1.000000 1.000000 1.000000 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN -1.000000 0 0 0 0 1 0.000000 0 0 0 0 2 1.000000 1 0 0 0 3 1.000000 0 1 0 0 4 1.000000 0 0 1 0 5 1.000000 0 0 0 1 6 2.000000 2 0 0 0 7 2.000000 1 1 0 0 8 2.000000 0 2 0 0 9 2.000000 1 0 1 0 10 2.000000 0 1 1 0 11 2.000000 0 0 2 0 12 2.000000 1 0 0 1 13 2.000000 0 1 0 1 14 2.000000 0 0 1 1 15 2.000000 0 0 0 2 16 3.000000 3 0 0 0 17 3.000000 2 1 0 0 18 3.000000 1 2 0 0 19 3.000000 0 3 0 0 20 3.000000 2 0 1 0 21 3.000000 1 1 1 0 22 3.000000 0 2 1 0 23 3.000000 1 0 2 0 24 3.000000 0 1 2 0 25 3.000000 0 0 3 0 26 3.000000 2 0 0 1 27 3.000000 1 1 0 1 28 3.000000 0 2 0 1 29 3.000000 1 0 1 1 30 3.000000 0 1 1 1 31 3.000000 0 0 2 1 32 3.000000 1 0 0 2 33 3.000000 0 1 0 2 34 3.000000 0 0 1 2 35 3.000000 0 0 0 3 MAX 3.000000 4 4 4 4 SGMGA_VCN_ORDERED: I Q X MIN -1.000000 0 0 0 0 1 0.000000 0 0 0 0 2 1.000000 1 0 0 0 3 1.000000 0 1 0 0 4 1.000000 0 0 1 0 5 1.000000 0 0 0 1 6 2.000000 2 0 0 0 7 2.000000 1 1 0 0 8 2.000000 0 2 0 0 9 2.000000 1 0 1 0 10 2.000000 0 1 1 0 11 2.000000 0 0 2 0 12 2.000000 1 0 0 1 13 2.000000 0 1 0 1 14 2.000000 0 0 1 1 15 2.000000 0 0 0 2 16 3.000000 3 0 0 0 17 3.000000 2 1 0 0 18 3.000000 1 2 0 0 19 3.000000 0 3 0 0 20 3.000000 2 0 1 0 21 3.000000 1 1 1 0 22 3.000000 0 2 1 0 23 3.000000 1 0 2 0 24 3.000000 0 1 2 0 25 3.000000 0 0 3 0 26 3.000000 2 0 0 1 27 3.000000 1 1 0 1 28 3.000000 0 2 0 1 29 3.000000 1 0 1 1 30 3.000000 0 1 1 1 31 3.000000 0 0 2 1 32 3.000000 1 0 0 2 33 3.000000 0 1 0 2 34 3.000000 0 0 1 2 35 3.000000 0 0 0 3 MAX 3.000000 4 4 4 4 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 2.000000 LEVEL_WEIGHT: 1.000000 0.500000 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN -1.500000 0 0 1 0.000000 0 0 MAX 0.000000 1 1 SGMGA_VCN_ORDERED: I Q X MIN -1.500000 0 0 1 0.000000 0 0 MAX 0.000000 1 1 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 2.000000 LEVEL_WEIGHT: 1.000000 0.500000 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN -0.500000 0 0 1 0.000000 0 0 2 0.500000 0 1 3 1.000000 1 0 4 1.000000 0 2 MAX 1.000000 2 3 SGMGA_VCN_ORDERED: I Q X MIN -0.500000 0 0 1 0.000000 0 0 2 0.500000 0 1 3 1.000000 1 0 4 1.000000 0 2 MAX 1.000000 2 3 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 2.000000 LEVEL_WEIGHT: 1.000000 0.500000 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN 0.500000 0 0 1 1.000000 1 0 2 1.500000 1 1 3 1.000000 0 2 4 1.500000 0 3 5 2.000000 2 0 6 2.000000 1 2 7 2.000000 0 4 MAX 2.000000 3 5 SGMGA_VCN_ORDERED: I Q X MIN 0.500000 0 0 1 1.000000 1 0 2 1.500000 1 1 3 1.000000 0 2 4 1.500000 0 3 5 2.000000 2 0 6 2.000000 1 2 7 2.000000 0 4 MAX 2.000000 3 5 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 2.000000 LEVEL_WEIGHT: 1.000000 0.500000 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN 1.500000 0 0 1 2.000000 2 0 2 2.500000 2 1 3 2.000000 1 2 4 2.500000 1 3 5 2.000000 0 4 6 2.500000 0 5 7 3.000000 3 0 8 3.000000 2 2 9 3.000000 1 4 10 3.000000 0 6 MAX 3.000000 4 7 SGMGA_VCN_ORDERED: I Q X MIN 1.500000 0 0 1 2.000000 2 0 2 2.500000 2 1 3 2.000000 1 2 4 2.500000 1 3 5 2.000000 0 4 6 2.500000 0 5 7 3.000000 3 0 8 3.000000 2 2 9 3.000000 1 4 10 3.000000 0 6 MAX 3.000000 4 7 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 2.000000 LEVEL_WEIGHT: 1.000000 0.500000 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN 2.500000 0 0 1 3.000000 3 0 2 3.500000 3 1 3 3.000000 2 2 4 3.500000 2 3 5 3.000000 1 4 6 3.500000 1 5 7 3.000000 0 6 8 3.500000 0 7 9 4.000000 4 0 10 4.000000 3 2 11 4.000000 2 4 12 4.000000 1 6 13 4.000000 0 8 MAX 4.000000 5 9 SGMGA_VCN_ORDERED: I Q X MIN 2.500000 0 0 1 3.000000 3 0 2 3.500000 3 1 3 3.000000 2 2 4 3.500000 2 3 5 3.000000 1 4 6 3.500000 1 5 7 3.000000 0 6 8 3.500000 0 7 9 4.000000 4 0 10 4.000000 3 2 11 4.000000 2 4 12 4.000000 1 6 13 4.000000 0 8 MAX 4.000000 5 9 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 2.000000 3.000000 LEVEL_WEIGHT: 1.000000 0.500000 0.333333 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN -1.833333 0 0 0 1 0.000000 0 0 0 MAX 0.000000 1 1 1 SGMGA_VCN_ORDERED: I Q X MIN -1.833333 0 0 0 1 0.000000 0 0 0 MAX 0.000000 1 1 1 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 2.000000 3.000000 LEVEL_WEIGHT: 1.000000 0.500000 0.333333 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN -0.833333 0 0 0 1 0.000000 0 0 0 2 1.000000 1 0 0 3 0.500000 0 1 0 4 1.000000 0 2 0 5 0.333333 0 0 1 6 0.833333 0 1 1 7 0.666667 0 0 2 8 1.000000 0 0 3 MAX 1.000000 2 3 4 SGMGA_VCN_ORDERED: I Q X MIN -0.833333 0 0 0 1 0.000000 0 0 0 2 1.000000 1 0 0 3 0.500000 0 1 0 4 1.000000 0 2 0 5 0.333333 0 0 1 6 0.833333 0 1 1 7 0.666667 0 0 2 8 1.000000 0 0 3 MAX 1.000000 2 3 4 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 2.000000 3.000000 LEVEL_WEIGHT: 1.000000 0.500000 0.333333 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN 0.166667 0 0 0 1 1.000000 1 0 0 2 0.500000 0 1 0 3 1.000000 0 2 0 4 0.333333 0 0 1 5 0.833333 0 1 1 6 0.666667 0 0 2 7 1.166667 0 1 2 8 1.000000 0 0 3 9 2.000000 2 0 0 10 1.500000 1 1 0 11 2.000000 1 2 0 12 1.500000 0 3 0 13 2.000000 0 4 0 14 1.333333 1 0 1 15 1.833333 1 1 1 16 1.333333 0 2 1 17 1.833333 0 3 1 18 1.666667 1 0 2 19 1.666667 0 2 2 20 2.000000 1 0 3 21 1.500000 0 1 3 22 2.000000 0 2 3 23 1.333333 0 0 4 24 1.833333 0 1 4 25 1.666667 0 0 5 26 2.000000 0 0 6 MAX 2.000000 3 5 7 SGMGA_VCN_ORDERED: I Q X MIN 0.166667 0 0 0 1 1.000000 1 0 0 2 0.500000 0 1 0 3 1.000000 0 2 0 4 0.333333 0 0 1 5 0.833333 0 1 1 6 0.666667 0 0 2 7 1.166667 0 1 2 8 1.000000 0 0 3 9 2.000000 2 0 0 10 1.500000 1 1 0 11 2.000000 1 2 0 12 1.500000 0 3 0 13 2.000000 0 4 0 14 1.333333 1 0 1 15 1.833333 1 1 1 16 1.333333 0 2 1 17 1.833333 0 3 1 18 1.666667 1 0 2 19 1.666667 0 2 2 20 2.000000 1 0 3 21 1.500000 0 1 3 22 2.000000 0 2 3 23 1.333333 0 0 4 24 1.833333 0 1 4 25 1.666667 0 0 5 26 2.000000 0 0 6 MAX 2.000000 3 5 7 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 2.000000 3.000000 LEVEL_WEIGHT: 1.000000 0.500000 0.333333 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN 1.166667 0 0 0 1 2.000000 2 0 0 2 1.500000 1 1 0 3 2.000000 1 2 0 4 1.500000 0 3 0 5 2.000000 0 4 0 6 1.333333 1 0 1 7 1.833333 1 1 1 8 1.333333 0 2 1 9 1.833333 0 3 1 10 1.666667 1 0 2 11 2.166667 1 1 2 12 1.666667 0 2 2 13 2.166667 0 3 2 14 2.000000 1 0 3 15 1.500000 0 1 3 16 2.000000 0 2 3 17 1.333333 0 0 4 18 1.833333 0 1 4 19 1.666667 0 0 5 20 2.166667 0 1 5 21 2.000000 0 0 6 22 3.000000 3 0 0 23 2.500000 2 1 0 24 3.000000 2 2 0 25 2.500000 1 3 0 26 3.000000 1 4 0 27 2.500000 0 5 0 28 3.000000 0 6 0 29 2.333333 2 0 1 30 2.833333 2 1 1 31 2.333333 1 2 1 32 2.833333 1 3 1 33 2.333333 0 4 1 34 2.833333 0 5 1 35 2.666667 2 0 2 36 2.666667 1 2 2 37 2.666667 0 4 2 38 3.000000 2 0 3 39 2.500000 1 1 3 40 3.000000 1 2 3 41 2.500000 0 3 3 42 3.000000 0 4 3 43 2.333333 1 0 4 44 2.833333 1 1 4 45 2.333333 0 2 4 46 2.833333 0 3 4 47 2.666667 1 0 5 48 2.666667 0 2 5 49 3.000000 1 0 6 50 2.500000 0 1 6 51 3.000000 0 2 6 52 2.333333 0 0 7 53 2.833333 0 1 7 54 2.666667 0 0 8 55 3.000000 0 0 9 MAX 3.000000 4 7 10 SGMGA_VCN_ORDERED: I Q X MIN 1.166667 0 0 0 1 2.000000 2 0 0 2 1.500000 1 1 0 3 2.000000 1 2 0 4 1.500000 0 3 0 5 2.000000 0 4 0 6 1.333333 1 0 1 7 1.833333 1 1 1 8 1.333333 0 2 1 9 1.833333 0 3 1 10 1.666667 1 0 2 11 2.166667 1 1 2 12 1.666667 0 2 2 13 2.166667 0 3 2 14 2.000000 1 0 3 15 1.500000 0 1 3 16 2.000000 0 2 3 17 1.333333 0 0 4 18 1.833333 0 1 4 19 1.666667 0 0 5 20 2.166667 0 1 5 21 2.000000 0 0 6 22 3.000000 3 0 0 23 2.500000 2 1 0 24 3.000000 2 2 0 25 2.500000 1 3 0 26 3.000000 1 4 0 27 2.500000 0 5 0 28 3.000000 0 6 0 29 2.333333 2 0 1 30 2.833333 2 1 1 31 2.333333 1 2 1 32 2.833333 1 3 1 33 2.333333 0 4 1 34 2.833333 0 5 1 35 2.666667 2 0 2 36 2.666667 1 2 2 37 2.666667 0 4 2 38 3.000000 2 0 3 39 2.500000 1 1 3 40 3.000000 1 2 3 41 2.500000 0 3 3 42 3.000000 0 4 3 43 2.333333 1 0 4 44 2.833333 1 1 4 45 2.333333 0 2 4 46 2.833333 0 3 4 47 2.666667 1 0 5 48 2.666667 0 2 5 49 3.000000 1 0 6 50 2.500000 0 1 6 51 3.000000 0 2 6 52 2.333333 0 0 7 53 2.833333 0 1 7 54 2.666667 0 0 8 55 3.000000 0 0 9 MAX 3.000000 4 7 10 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 2.000000 3.000000 LEVEL_WEIGHT: 1.000000 0.500000 0.333333 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN 2.166667 0 0 0 1 3.000000 3 0 0 2 2.500000 2 1 0 3 3.000000 2 2 0 4 2.500000 1 3 0 5 3.000000 1 4 0 6 2.500000 0 5 0 7 3.000000 0 6 0 8 2.333333 2 0 1 9 2.833333 2 1 1 10 2.333333 1 2 1 11 2.833333 1 3 1 12 2.333333 0 4 1 13 2.833333 0 5 1 14 2.666667 2 0 2 15 3.166667 2 1 2 16 2.666667 1 2 2 17 3.166667 1 3 2 18 2.666667 0 4 2 19 3.166667 0 5 2 20 3.000000 2 0 3 21 2.500000 1 1 3 22 3.000000 1 2 3 23 2.500000 0 3 3 24 3.000000 0 4 3 25 2.333333 1 0 4 26 2.833333 1 1 4 27 2.333333 0 2 4 28 2.833333 0 3 4 29 2.666667 1 0 5 30 3.166667 1 1 5 31 2.666667 0 2 5 32 3.166667 0 3 5 33 3.000000 1 0 6 34 2.500000 0 1 6 35 3.000000 0 2 6 36 2.333333 0 0 7 37 2.833333 0 1 7 38 2.666667 0 0 8 39 3.166667 0 1 8 40 3.000000 0 0 9 41 4.000000 4 0 0 42 3.500000 3 1 0 43 4.000000 3 2 0 44 3.500000 2 3 0 45 4.000000 2 4 0 46 3.500000 1 5 0 47 4.000000 1 6 0 48 3.500000 0 7 0 49 4.000000 0 8 0 50 3.333333 3 0 1 51 3.833333 3 1 1 52 3.333333 2 2 1 53 3.833333 2 3 1 54 3.333333 1 4 1 55 3.833333 1 5 1 56 3.333333 0 6 1 57 3.833333 0 7 1 58 3.666667 3 0 2 59 3.666667 2 2 2 60 3.666667 1 4 2 61 3.666667 0 6 2 62 4.000000 3 0 3 63 3.500000 2 1 3 64 4.000000 2 2 3 65 3.500000 1 3 3 66 4.000000 1 4 3 67 3.500000 0 5 3 68 4.000000 0 6 3 69 3.333333 2 0 4 70 3.833333 2 1 4 71 3.333333 1 2 4 72 3.833333 1 3 4 73 3.333333 0 4 4 74 3.833333 0 5 4 75 3.666667 2 0 5 76 3.666667 1 2 5 77 3.666667 0 4 5 78 4.000000 2 0 6 79 3.500000 1 1 6 80 4.000000 1 2 6 81 3.500000 0 3 6 82 4.000000 0 4 6 83 3.333333 1 0 7 84 3.833333 1 1 7 85 3.333333 0 2 7 86 3.833333 0 3 7 87 3.666667 1 0 8 88 3.666667 0 2 8 89 4.000000 1 0 9 90 3.500000 0 1 9 91 4.000000 0 2 9 92 3.333333 0 0 10 93 3.833333 0 1 10 94 3.666667 0 0 11 95 4.000000 0 0 12 MAX 4.000000 5 9 13 SGMGA_VCN_ORDERED: I Q X MIN 2.166667 0 0 0 1 3.000000 3 0 0 2 2.500000 2 1 0 3 3.000000 2 2 0 4 2.500000 1 3 0 5 3.000000 1 4 0 6 2.500000 0 5 0 7 3.000000 0 6 0 8 2.333333 2 0 1 9 2.833333 2 1 1 10 2.333333 1 2 1 11 2.833333 1 3 1 12 2.333333 0 4 1 13 2.833333 0 5 1 14 2.666667 2 0 2 15 3.166667 2 1 2 16 2.666667 1 2 2 17 3.166667 1 3 2 18 2.666667 0 4 2 19 3.166667 0 5 2 20 3.000000 2 0 3 21 2.500000 1 1 3 22 3.000000 1 2 3 23 2.500000 0 3 3 24 3.000000 0 4 3 25 2.333333 1 0 4 26 2.833333 1 1 4 27 2.333333 0 2 4 28 2.833333 0 3 4 29 2.666667 1 0 5 30 3.166667 1 1 5 31 2.666667 0 2 5 32 3.166667 0 3 5 33 3.000000 1 0 6 34 2.500000 0 1 6 35 3.000000 0 2 6 36 2.333333 0 0 7 37 2.833333 0 1 7 38 2.666667 0 0 8 39 3.166667 0 1 8 40 3.000000 0 0 9 41 4.000000 4 0 0 42 3.500000 3 1 0 43 4.000000 3 2 0 44 3.500000 2 3 0 45 4.000000 2 4 0 46 3.500000 1 5 0 47 4.000000 1 6 0 48 3.500000 0 7 0 49 4.000000 0 8 0 50 3.333333 3 0 1 51 3.833333 3 1 1 52 3.333333 2 2 1 53 3.833333 2 3 1 54 3.333333 1 4 1 55 3.833333 1 5 1 56 3.333333 0 6 1 57 3.833333 0 7 1 58 3.666667 3 0 2 59 3.666667 2 2 2 60 3.666667 1 4 2 61 3.666667 0 6 2 62 4.000000 3 0 3 63 3.500000 2 1 3 64 4.000000 2 2 3 65 3.500000 1 3 3 66 4.000000 1 4 3 67 3.500000 0 5 3 68 4.000000 0 6 3 69 3.333333 2 0 4 70 3.833333 2 1 4 71 3.333333 1 2 4 72 3.833333 1 3 4 73 3.333333 0 4 4 74 3.833333 0 5 4 75 3.666667 2 0 5 76 3.666667 1 2 5 77 3.666667 0 4 5 78 4.000000 2 0 6 79 3.500000 1 1 6 80 4.000000 1 2 6 81 3.500000 0 3 6 82 4.000000 0 4 6 83 3.333333 1 0 7 84 3.833333 1 1 7 85 3.333333 0 2 7 86 3.833333 0 3 7 87 3.666667 1 0 8 88 3.666667 0 2 8 89 4.000000 1 0 9 90 3.500000 0 1 9 91 4.000000 0 2 9 92 3.333333 0 0 10 93 3.833333 0 1 10 94 3.666667 0 0 11 95 4.000000 0 0 12 MAX 4.000000 5 9 13 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 2.000000 3.000000 4.000000 LEVEL_WEIGHT: 1.000000 0.500000 0.333333 0.250000 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN -0.083333 0 0 0 0 1 0.000000 0 0 0 0 2 0.500000 0 1 0 0 3 0.333333 0 0 1 0 4 0.833333 0 1 1 0 5 0.666667 0 0 2 0 6 0.250000 0 0 0 1 7 0.750000 0 1 0 1 8 0.583333 0 0 1 1 9 0.916667 0 0 2 1 10 0.500000 0 0 0 2 11 0.833333 0 0 1 2 12 0.750000 0 0 0 3 13 1.000000 1 0 0 0 14 1.500000 1 1 0 0 15 1.000000 0 2 0 0 16 1.500000 0 3 0 0 17 1.333333 1 0 1 0 18 1.833333 1 1 1 0 19 1.333333 0 2 1 0 20 1.833333 0 3 1 0 21 1.666667 1 0 2 0 22 1.166667 0 1 2 0 23 1.666667 0 2 2 0 24 1.000000 0 0 3 0 25 1.500000 0 1 3 0 26 1.333333 0 0 4 0 27 1.833333 0 1 4 0 28 1.666667 0 0 5 0 29 1.250000 1 0 0 1 30 1.750000 1 1 0 1 31 1.250000 0 2 0 1 32 1.750000 0 3 0 1 33 1.583333 1 0 1 1 34 1.083333 0 1 1 1 35 1.583333 0 2 1 1 36 1.916667 1 0 2 1 37 1.416667 0 1 2 1 38 1.916667 0 2 2 1 39 1.250000 0 0 3 1 40 1.750000 0 1 3 1 41 1.583333 0 0 4 1 42 1.916667 0 0 5 1 43 1.500000 1 0 0 2 44 1.000000 0 1 0 2 45 1.500000 0 2 0 2 46 1.833333 1 0 1 2 47 1.333333 0 1 1 2 48 1.833333 0 2 1 2 49 1.166667 0 0 2 2 50 1.666667 0 1 2 2 51 1.500000 0 0 3 2 52 1.833333 0 0 4 2 53 1.750000 1 0 0 3 54 1.250000 0 1 0 3 55 1.750000 0 2 0 3 56 1.083333 0 0 1 3 57 1.583333 0 1 1 3 58 1.416667 0 0 2 3 59 1.916667 0 1 2 3 60 1.750000 0 0 3 3 61 1.000000 0 0 0 4 62 1.500000 0 1 0 4 63 1.333333 0 0 1 4 64 1.833333 0 1 1 4 65 1.666667 0 0 2 4 66 1.250000 0 0 0 5 67 1.750000 0 1 0 5 68 1.583333 0 0 1 5 69 1.916667 0 0 2 5 70 1.500000 0 0 0 6 71 1.833333 0 0 1 6 72 1.750000 0 0 0 7 73 2.000000 2 0 0 0 74 2.000000 1 2 0 0 75 2.000000 0 4 0 0 76 2.000000 1 0 3 0 77 2.000000 0 2 3 0 78 2.000000 0 0 6 0 79 2.000000 1 1 0 2 80 2.000000 0 3 0 2 81 2.000000 0 1 3 2 82 2.000000 1 0 0 4 83 2.000000 0 2 0 4 84 2.000000 0 0 3 4 85 2.000000 0 1 0 6 86 2.000000 0 0 0 8 MAX 2.000000 3 5 7 9 SGMGA_VCN_ORDERED: I Q X MIN -0.083333 0 0 0 0 1 0.000000 0 0 0 0 2 0.500000 0 1 0 0 3 0.333333 0 0 1 0 4 0.833333 0 1 1 0 5 0.666667 0 0 2 0 6 0.250000 0 0 0 1 7 0.750000 0 1 0 1 8 0.583333 0 0 1 1 9 0.916667 0 0 2 1 10 0.500000 0 0 0 2 11 0.833333 0 0 1 2 12 0.750000 0 0 0 3 13 1.000000 1 0 0 0 14 1.500000 1 1 0 0 15 1.000000 0 2 0 0 16 1.500000 0 3 0 0 17 1.333333 1 0 1 0 18 1.833333 1 1 1 0 19 1.333333 0 2 1 0 20 1.833333 0 3 1 0 21 1.666667 1 0 2 0 22 1.166667 0 1 2 0 23 1.666667 0 2 2 0 24 1.000000 0 0 3 0 25 1.500000 0 1 3 0 26 1.333333 0 0 4 0 27 1.833333 0 1 4 0 28 1.666667 0 0 5 0 29 1.250000 1 0 0 1 30 1.750000 1 1 0 1 31 1.250000 0 2 0 1 32 1.750000 0 3 0 1 33 1.583333 1 0 1 1 34 1.083333 0 1 1 1 35 1.583333 0 2 1 1 36 1.916667 1 0 2 1 37 1.416667 0 1 2 1 38 1.916667 0 2 2 1 39 1.250000 0 0 3 1 40 1.750000 0 1 3 1 41 1.583333 0 0 4 1 42 1.916667 0 0 5 1 43 1.500000 1 0 0 2 44 1.000000 0 1 0 2 45 1.500000 0 2 0 2 46 1.833333 1 0 1 2 47 1.333333 0 1 1 2 48 1.833333 0 2 1 2 49 1.166667 0 0 2 2 50 1.666667 0 1 2 2 51 1.500000 0 0 3 2 52 1.833333 0 0 4 2 53 1.750000 1 0 0 3 54 1.250000 0 1 0 3 55 1.750000 0 2 0 3 56 1.083333 0 0 1 3 57 1.583333 0 1 1 3 58 1.416667 0 0 2 3 59 1.916667 0 1 2 3 60 1.750000 0 0 3 3 61 1.000000 0 0 0 4 62 1.500000 0 1 0 4 63 1.333333 0 0 1 4 64 1.833333 0 1 1 4 65 1.666667 0 0 2 4 66 1.250000 0 0 0 5 67 1.750000 0 1 0 5 68 1.583333 0 0 1 5 69 1.916667 0 0 2 5 70 1.500000 0 0 0 6 71 1.833333 0 0 1 6 72 1.750000 0 0 0 7 73 2.000000 2 0 0 0 74 2.000000 1 2 0 0 75 2.000000 0 4 0 0 76 2.000000 1 0 3 0 77 2.000000 0 2 3 0 78 2.000000 0 0 6 0 79 2.000000 1 1 0 2 80 2.000000 0 3 0 2 81 2.000000 0 1 3 2 82 2.000000 1 0 0 4 83 2.000000 0 2 0 4 84 2.000000 0 0 3 4 85 2.000000 0 1 0 6 86 2.000000 0 0 0 8 MAX 2.000000 3 5 7 9 SGMGA_VCN_ORDERED_TEST Consider vectors 0 <= LEVEL_1D(1:N) <= LEVEL_1D_MAX(1:N), Set Q = sum ( LEVEL_WEIGHT(1:N) * LEVEL_1D(1:N) ) Accept only vectors for which Q_MIN < Q <= Q_MAX LEVEL_1D values are weakly ordered by Q. SGMGA_VCN_ORDERED_NAIVE calls SGMGA_VCN_NAIVE; SGMGA_VCN_ORDERED calls SGMGA_VCN. IMPORTANCE: 1.000000 2.000000 3.000000 4.000000 LEVEL_WEIGHT: 1.000000 0.500000 0.333333 0.250000 SGMGA_VCN_ORDERED_NAIVE: I Q X MIN 0.916667 0 0 0 0 1 1.000000 1 0 0 0 2 1.500000 1 1 0 0 3 1.000000 0 2 0 0 4 1.500000 0 3 0 0 5 1.333333 1 0 1 0 6 1.833333 1 1 1 0 7 1.333333 0 2 1 0 8 1.833333 0 3 1 0 9 1.666667 1 0 2 0 10 1.166667 0 1 2 0 11 1.666667 0 2 2 0 12 1.000000 0 0 3 0 13 1.500000 0 1 3 0 14 1.333333 0 0 4 0 15 1.833333 0 1 4 0 16 1.666667 0 0 5 0 17 1.250000 1 0 0 1 18 1.750000 1 1 0 1 19 1.250000 0 2 0 1 20 1.750000 0 3 0 1 21 1.583333 1 0 1 1 22 1.083333 0 1 1 1 23 1.583333 0 2 1 1 24 1.916667 1 0 2 1 25 1.416667 0 1 2 1 26 1.916667 0 2 2 1 27 1.250000 0 0 3 1 28 1.750000 0 1 3 1 29 1.583333 0 0 4 1 30 1.916667 0 0 5 1 31 1.500000 1 0 0 2 32 1.000000 0 1 0 2 33 1.500000 0 2 0 2 34 1.833333 1 0 1 2 35 1.333333 0 1 1 2 36 1.833333 0 2 1 2 37 1.166667 0 0 2 2 38 1.666667 0 1 2 2 39 1.500000 0 0 3 2 40 1.833333 0 0 4 2 41 1.750000 1 0 0 3 42 1.250000 0 1 0 3 43 1.750000 0 2 0 3 44 1.083333 0 0 1 3 45 1.583333 0 1 1 3 46 1.416667 0 0 2 3 47 1.916667 0 1 2 3 48 1.750000 0 0 3 3 49 1.000000 0 0 0 4 50 1.500000 0 1 0 4 51 1.333333 0 0 1 4 52 1.833333 0 1 1 4 53 1.666667 0 0 2 4 54 1.250000 0 0 0 5 55 1.750000 0 1 0 5 56 1.583333 0 0 1 5 57 1.916667 0 0 2 5 58 1.500000 0 0 0 6 59 1.833333 0 0 1 6 60 1.750000 0 0 0 7 61 2.000000 2 0 0 0 62 2.500000 2 1 0 0 63 2.000000 1 2 0 0 64 2.500000 1 3 0 0 65 2.000000 0 4 0 0 66 2.500000 0 5 0 0 67 2.333333 2 0 1 0 68 2.833333 2 1 1 0 69 2.333333 1 2 1 0 70 2.833333 1 3 1 0 71 2.333333 0 4 1 0 72 2.833333 0 5 1 0 73 2.666667 2 0 2 0 74 2.166667 1 1 2 0 75 2.666667 1 2 2 0 76 2.166667 0 3 2 0 77 2.666667 0 4 2 0 78 2.000000 1 0 3 0 79 2.500000 1 1 3 0 80 2.000000 0 2 3 0 81 2.500000 0 3 3 0 82 2.333333 1 0 4 0 83 2.833333 1 1 4 0 84 2.333333 0 2 4 0 85 2.833333 0 3 4 0 86 2.666667 1 0 5 0 87 2.166667 0 1 5 0 88 2.666667 0 2 5 0 89 2.000000 0 0 6 0 90 2.500000 0 1 6 0 91 2.333333 0 0 7 0 92 2.833333 0 1 7 0 93 2.666667 0 0 8 0 94 2.250000 2 0 0 1 95 2.750000 2 1 0 1 96 2.250000 1 2 0 1 97 2.750000 1 3 0 1 98 2.250000 0 4 0 1 99 2.750000 0 5 0 1 100 2.583333 2 0 1 1 101 2.083333 1 1 1 1 102 2.583333 1 2 1 1 103 2.083333 0 3 1 1 104 2.583333 0 4 1 1 105 2.916667 2 0 2 1 106 2.416667 1 1 2 1 107 2.916667 1 2 2 1 108 2.416667 0 3 2 1 109 2.916667 0 4 2 1 110 2.250000 1 0 3 1 111 2.750000 1 1 3 1 112 2.250000 0 2 3 1 113 2.750000 0 3 3 1 114 2.583333 1 0 4 1 115 2.083333 0 1 4 1 116 2.583333 0 2 4 1 117 2.916667 1 0 5 1 118 2.416667 0 1 5 1 119 2.916667 0 2 5 1 120 2.250000 0 0 6 1 121 2.750000 0 1 6 1 122 2.583333 0 0 7 1 123 2.916667 0 0 8 1 124 2.500000 2 0 0 2 125 2.000000 1 1 0 2 126 2.500000 1 2 0 2 127 2.000000 0 3 0 2 128 2.500000 0 4 0 2 129 2.833333 2 0 1 2 130 2.333333 1 1 1 2 131 2.833333 1 2 1 2 132 2.333333 0 3 1 2 133 2.833333 0 4 1 2 134 2.166667 1 0 2 2 135 2.666667 1 1 2 2 136 2.166667 0 2 2 2 137 2.666667 0 3 2 2 138 2.500000 1 0 3 2 139 2.000000 0 1 3 2 140 2.500000 0 2 3 2 141 2.833333 1 0 4 2 142 2.333333 0 1 4 2 143 2.833333 0 2 4 2 144 2.166667 0 0 5 2 145 2.666667 0 1 5 2 146 2.500000 0 0 6 2 147 2.833333 0 0 7 2 148 2.750000 2 0 0 3 149 2.250000 1 1 0 3 150 2.750000 1 2 0 3 151 2.250000 0 3 0 3 152 2.750000 0 4 0 3 153 2.083333 1 0 1 3 154 2.583333 1 1 1 3 155 2.083333 0 2 1 3 156 2.583333 0 3 1 3 157 2.416667 1 0 2 3 158 2.916667 1 1 2 3 159 2.416667 0 2 2 3 160 2.916667 0 3 2 3 161 2.750000 1 0 3 3 162 2.250000 0 1 3 3 163 2.750000 0 2 3 3 164 2.083333 0 0 4 3 165 2.583333 0 1 4 3 166 2.416667 0 0 5 3 167 2.916667 0 1 5 3 168 2.750000 0 0 6 3 169 2.000000 1 0 0 4 170 2.500000 1 1 0 4 171 2.000000 0 2 0 4 172 2.500000 0 3 0 4 173 2.333333 1 0 1 4 174 2.833333 1 1 1 4 175 2.333333 0 2 1 4 176 2.833333 0 3 1 4 177 2.666667 1 0 2 4 178 2.166667 0 1 2 4 179 2.666667 0 2 2 4 180 2.000000 0 0 3 4 181 2.500000 0 1 3 4 182 2.333333 0 0 4 4 183 2.833333 0 1 4 4 184 2.666667 0 0 5 4 185 2.250000 1 0 0 5 186 2.750000 1 1 0 5 187 2.250000 0 2 0 5 188 2.750000 0 3 0 5 189 2.583333 1 0 1 5 190 2.083333 0 1 1 5 191 2.583333 0 2 1 5 192 2.916667 1 0 2 5 193 2.416667 0 1 2 5 194 2.916667 0 2 2 5 195 2.250000 0 0 3 5 196 2.750000 0 1 3 5 197 2.583333 0 0 4 5 198 2.916667 0 0 5 5 199 2.500000 1 0 0 6 200 2.000000 0 1 0 6 201 2.500000 0 2 0 6 202 2.833333 1 0 1 6 203 2.333333 0 1 1 6 204 2.833333 0 2 1 6 205 2.166667 0 0 2 6 206 2.666667 0 1 2 6 207 2.500000 0 0 3 6 208 2.833333 0 0 4 6 209 2.750000 1 0 0 7 210 2.250000 0 1 0 7 211 2.750000 0 2 0 7 212 2.083333 0 0 1 7 213 2.583333 0 1 1 7 214 2.416667 0 0 2 7 215 2.916667 0 1 2 7 216 2.750000 0 0 3 7 217 2.000000 0 0 0 8 218 2.500000 0 1 0 8 219 2.333333 0 0 1 8 220 2.833333 0 1 1 8 221 2.666667 0 0 2 8 222 2.250000 0 0 0 9 223 2.750000 0 1 0 9 224 2.583333 0 0 1 9 225 2.916667 0 0 2 9 226 2.500000 0 0 0 10 227 2.833333 0 0 1 10 228 2.750000 0 0 0 11 229 3.000000 3 0 0 0 230 3.000000 2 2 0 0 231 3.000000 1 4 0 0 232 3.000000 0 6 0 0 233 3.000000 2 0 3 0 234 3.000000 1 2 3 0 235 3.000000 0 4 3 0 236 3.000000 1 0 6 0 237 3.000000 0 2 6 0 238 3.000000 0 0 9 0 239 3.000000 2 1 0 2 240 3.000000 1 3 0 2 241 3.000000 0 5 0 2 242 3.000000 1 1 3 2 243 3.000000 0 3 3 2 244 3.000000 0 1 6 2 245 3.000000 2 0 0 4 246 3.000000 1 2 0 4 247 3.000000 0 4 0 4 248 3.000000 1 0 3 4 249 3.000000 0 2 3 4 250 3.000000 0 0 6 4 251 3.000000 1 1 0 6 252 3.000000 0 3 0 6 253 3.000000 0 1 3 6 254 3.000000 1 0 0 8 255 3.000000 0 2 0 8 256 3.000000 0 0 3 8 257 3.000000 0 1 0 10 258 3.000000 0 0 0 12 MAX 3.000000 4 7 10 13 SGMGA_VCN_ORDERED: I Q X MIN 0.916667 0 0 0 0 1 1.000000 1 0 0 0 2 1.500000 1 1 0 0 3 1.000000 0 2 0 0 4 1.500000 0 3 0 0 5 1.333333 1 0 1 0 6 1.833333 1 1 1 0 7 1.333333 0 2 1 0 8 1.833333 0 3 1 0 9 1.666667 1 0 2 0 10 1.166667 0 1 2 0 11 1.666667 0 2 2 0 12 1.000000 0 0 3 0 13 1.500000 0 1 3 0 14 1.333333 0 0 4 0 15 1.833333 0 1 4 0 16 1.666667 0 0 5 0 17 1.250000 1 0 0 1 18 1.750000 1 1 0 1 19 1.250000 0 2 0 1 20 1.750000 0 3 0 1 21 1.583333 1 0 1 1 22 1.083333 0 1 1 1 23 1.583333 0 2 1 1 24 1.916667 1 0 2 1 25 1.416667 0 1 2 1 26 1.916667 0 2 2 1 27 1.250000 0 0 3 1 28 1.750000 0 1 3 1 29 1.583333 0 0 4 1 30 1.916667 0 0 5 1 31 1.500000 1 0 0 2 32 1.000000 0 1 0 2 33 1.500000 0 2 0 2 34 1.833333 1 0 1 2 35 1.333333 0 1 1 2 36 1.833333 0 2 1 2 37 1.166667 0 0 2 2 38 1.666667 0 1 2 2 39 1.500000 0 0 3 2 40 1.833333 0 0 4 2 41 1.750000 1 0 0 3 42 1.250000 0 1 0 3 43 1.750000 0 2 0 3 44 1.083333 0 0 1 3 45 1.583333 0 1 1 3 46 1.416667 0 0 2 3 47 1.916667 0 1 2 3 48 1.750000 0 0 3 3 49 1.000000 0 0 0 4 50 1.500000 0 1 0 4 51 1.333333 0 0 1 4 52 1.833333 0 1 1 4 53 1.666667 0 0 2 4 54 1.250000 0 0 0 5 55 1.750000 0 1 0 5 56 1.583333 0 0 1 5 57 1.916667 0 0 2 5 58 1.500000 0 0 0 6 59 1.833333 0 0 1 6 60 1.750000 0 0 0 7 61 2.000000 2 0 0 0 62 2.500000 2 1 0 0 63 2.000000 1 2 0 0 64 2.500000 1 3 0 0 65 2.000000 0 4 0 0 66 2.500000 0 5 0 0 67 2.333333 2 0 1 0 68 2.833333 2 1 1 0 69 2.333333 1 2 1 0 70 2.833333 1 3 1 0 71 2.333333 0 4 1 0 72 2.833333 0 5 1 0 73 2.666667 2 0 2 0 74 2.166667 1 1 2 0 75 2.666667 1 2 2 0 76 2.166667 0 3 2 0 77 2.666667 0 4 2 0 78 2.000000 1 0 3 0 79 2.500000 1 1 3 0 80 2.000000 0 2 3 0 81 2.500000 0 3 3 0 82 2.333333 1 0 4 0 83 2.833333 1 1 4 0 84 2.333333 0 2 4 0 85 2.833333 0 3 4 0 86 2.666667 1 0 5 0 87 2.166667 0 1 5 0 88 2.666667 0 2 5 0 89 2.000000 0 0 6 0 90 2.500000 0 1 6 0 91 2.333333 0 0 7 0 92 2.833333 0 1 7 0 93 2.666667 0 0 8 0 94 2.250000 2 0 0 1 95 2.750000 2 1 0 1 96 2.250000 1 2 0 1 97 2.750000 1 3 0 1 98 2.250000 0 4 0 1 99 2.750000 0 5 0 1 100 2.583333 2 0 1 1 101 2.083333 1 1 1 1 102 2.583333 1 2 1 1 103 2.083333 0 3 1 1 104 2.583333 0 4 1 1 105 2.916667 2 0 2 1 106 2.416667 1 1 2 1 107 2.916667 1 2 2 1 108 2.416667 0 3 2 1 109 2.916667 0 4 2 1 110 2.250000 1 0 3 1 111 2.750000 1 1 3 1 112 2.250000 0 2 3 1 113 2.750000 0 3 3 1 114 2.583333 1 0 4 1 115 2.083333 0 1 4 1 116 2.583333 0 2 4 1 117 2.916667 1 0 5 1 118 2.416667 0 1 5 1 119 2.916667 0 2 5 1 120 2.250000 0 0 6 1 121 2.750000 0 1 6 1 122 2.583333 0 0 7 1 123 2.916667 0 0 8 1 124 2.500000 2 0 0 2 125 2.000000 1 1 0 2 126 2.500000 1 2 0 2 127 2.000000 0 3 0 2 128 2.500000 0 4 0 2 129 2.833333 2 0 1 2 130 2.333333 1 1 1 2 131 2.833333 1 2 1 2 132 2.333333 0 3 1 2 133 2.833333 0 4 1 2 134 2.166667 1 0 2 2 135 2.666667 1 1 2 2 136 2.166667 0 2 2 2 137 2.666667 0 3 2 2 138 2.500000 1 0 3 2 139 2.000000 0 1 3 2 140 2.500000 0 2 3 2 141 2.833333 1 0 4 2 142 2.333333 0 1 4 2 143 2.833333 0 2 4 2 144 2.166667 0 0 5 2 145 2.666667 0 1 5 2 146 2.500000 0 0 6 2 147 2.833333 0 0 7 2 148 2.750000 2 0 0 3 149 2.250000 1 1 0 3 150 2.750000 1 2 0 3 151 2.250000 0 3 0 3 152 2.750000 0 4 0 3 153 2.083333 1 0 1 3 154 2.583333 1 1 1 3 155 2.083333 0 2 1 3 156 2.583333 0 3 1 3 157 2.416667 1 0 2 3 158 2.916667 1 1 2 3 159 2.416667 0 2 2 3 160 2.916667 0 3 2 3 161 2.750000 1 0 3 3 162 2.250000 0 1 3 3 163 2.750000 0 2 3 3 164 2.083333 0 0 4 3 165 2.583333 0 1 4 3 166 2.416667 0 0 5 3 167 2.916667 0 1 5 3 168 2.750000 0 0 6 3 169 2.000000 1 0 0 4 170 2.500000 1 1 0 4 171 2.000000 0 2 0 4 172 2.500000 0 3 0 4 173 2.333333 1 0 1 4 174 2.833333 1 1 1 4 175 2.333333 0 2 1 4 176 2.833333 0 3 1 4 177 2.666667 1 0 2 4 178 2.166667 0 1 2 4 179 2.666667 0 2 2 4 180 2.000000 0 0 3 4 181 2.500000 0 1 3 4 182 2.333333 0 0 4 4 183 2.833333 0 1 4 4 184 2.666667 0 0 5 4 185 2.250000 1 0 0 5 186 2.750000 1 1 0 5 187 2.250000 0 2 0 5 188 2.750000 0 3 0 5 189 2.583333 1 0 1 5 190 2.083333 0 1 1 5 191 2.583333 0 2 1 5 192 2.916667 1 0 2 5 193 2.416667 0 1 2 5 194 2.916667 0 2 2 5 195 2.250000 0 0 3 5 196 2.750000 0 1 3 5 197 2.583333 0 0 4 5 198 2.916667 0 0 5 5 199 2.500000 1 0 0 6 200 2.000000 0 1 0 6 201 2.500000 0 2 0 6 202 2.833333 1 0 1 6 203 2.333333 0 1 1 6 204 2.833333 0 2 1 6 205 2.166667 0 0 2 6 206 2.666667 0 1 2 6 207 2.500000 0 0 3 6 208 2.833333 0 0 4 6 209 2.750000 1 0 0 7 210 2.250000 0 1 0 7 211 2.750000 0 2 0 7 212 2.083333 0 0 1 7 213 2.583333 0 1 1 7 214 2.416667 0 0 2 7 215 2.916667 0 1 2 7 216 2.750000 0 0 3 7 217 2.000000 0 0 0 8 218 2.500000 0 1 0 8 219 2.333333 0 0 1 8 220 2.833333 0 1 1 8 221 2.666667 0 0 2 8 222 2.250000 0 0 0 9 223 2.750000 0 1 0 9 224 2.583333 0 0 1 9 225 2.916667 0 0 2 9 226 2.500000 0 0 0 10 227 2.833333 0 0 1 10 228 2.750000 0 0 0 11 229 3.000000 3 0 0 0 230 3.000000 2 2 0 0 231 3.000000 1 4 0 0 232 3.000000 0 6 0 0 233 3.000000 2 0 3 0 234 3.000000 1 2 3 0 235 3.000000 0 4 3 0 236 3.000000 1 0 6 0 237 3.000000 0 2 6 0 238 3.000000 0 0 9 0 239 3.000000 2 1 0 2 240 3.000000 1 3 0 2 241 3.000000 0 5 0 2 242 3.000000 1 1 3 2 243 3.000000 0 3 3 2 244 3.000000 0 1 6 2 245 3.000000 2 0 0 4 246 3.000000 1 2 0 4 247 3.000000 0 4 0 4 248 3.000000 1 0 3 4 249 3.000000 0 2 3 4 250 3.000000 0 0 6 4 251 3.000000 1 1 0 6 252 3.000000 0 3 0 6 253 3.000000 0 1 3 6 254 3.000000 1 0 0 8 255 3.000000 0 2 0 8 256 3.000000 0 0 3 8 257 3.000000 0 1 0 10 258 3.000000 0 0 0 12 MAX 3.000000 4 7 10 13 SGMGA_VCN_ORDERED_TESTS: Normal end of execution. 25-Apr-2011 16:32:41 >>