>> sgmga_vcn_timing_tests 25-Apr-2011 16:36:18 SGMGA_VCN_TIMING_TESTS calls SGMGA_VCN_TIMING_TEST. SGMGA_VCN_TIMING_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 No ordering is imposed on the LEVEL_1D values. SGMGA_VCN_NAIVE uses a naive approach; SGMGA_VCN tries to be more efficient. Here, we just compare the results. IMPORTANCE: 1.000000 1.000000 1.000000 1.000000 LEVEL_WEIGHT: 1.000000 1.000000 1.000000 1.000000 SGMGA_VCN_NAIVE: I Q X MIN -2.000000 0 0 0 0 MAX 2.000000 2 2 2 2 TIME 0.001466 SGMGA_VCN: I Q X MIN -2.000000 0 0 0 0 MAX 2.000000 2 2 2 2 TIME 0.001858 SGMGA_VCN_TIMING_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 No ordering is imposed on the LEVEL_1D values. SGMGA_VCN_NAIVE uses a naive approach; SGMGA_VCN tries to be more efficient. Here, we just compare the results. IMPORTANCE: 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 LEVEL_WEIGHT: 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 SGMGA_VCN_NAIVE: I Q X MIN -6.000000 0 0 0 0 0 0 0 0 MAX 2.000000 2 2 2 2 2 2 2 2 TIME 0.047350 SGMGA_VCN: I Q X MIN -6.000000 0 0 0 0 0 0 0 0 MAX 2.000000 2 2 2 2 2 2 2 2 TIME 0.004531 SGMGA_VCN_TIMING_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 No ordering is imposed on the LEVEL_1D values. SGMGA_VCN_NAIVE uses a naive approach; SGMGA_VCN tries to be more efficient. Here, we just compare the results. IMPORTANCE: 1.000000 2.000000 3.000000 LEVEL_WEIGHT: 1.000000 0.500000 0.333333 SGMGA_VCN_NAIVE: I Q X MIN 0.166667 0 0 0 MAX 2.000000 2 4 6 TIME 0.001261 SGMGA_VCN: I Q X MIN 0.166667 0 0 0 MAX 2.000000 2 4 6 TIME 0.002193 SGMGA_VCN_TIMING_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 No ordering is imposed on the LEVEL_1D values. SGMGA_VCN_NAIVE uses a naive approach; SGMGA_VCN tries to be more efficient. Here, we just compare the results. IMPORTANCE: 1.000000 2.000000 3.000000 4.000000 5.000000 LEVEL_WEIGHT: 1.000000 0.500000 0.333333 0.250000 0.200000 SGMGA_VCN_NAIVE: I Q X MIN -0.283333 0 0 0 0 0 MAX 2.000000 2 4 6 8 10 TIME 0.075617 SGMGA_VCN: I Q X MIN -0.283333 0 0 0 0 0 MAX 2.000000 2 4 6 8 10 TIME 0.023625 SGMGA_VCN_TIMING_TESTS: Normal end of execution. 25-Apr-2011 16:36:18 >>