### Table 2: Results for Gradient method with single penalty.

"... In PAGE 4: ... (a) To take a very small value of K after the limiting value of the constraint is crossed or (b) to progressively decrease the value of K for each itera- tion. In case of penalty method, initially the values of penalty for all the constraints are taken as 1and few results are tab- ulated in Table2 . Table 3 shows the results considering the SI.... ..."

### TABLE II ALGORITHMIC FORM OF THE REDUCED GRADIENT METHOD

2003

Cited by 5

### Table 2. Coupled Cluster Methods Currently Available in PSI3.

"... In PAGE 4: ...ours (wall time) on a 2.2GHz Opteron 248 single-CPU system. The PSI3 coupled cluster codes have also served as a testbed for local correlation techniques, which are under active development by the authors.40,41 Table2 summarizes the coupled cluster features of the most recent version of the code. Determinant-Based CI and CASSCF Methods Simple CI singles and doubles (CISD) approach widely used in the 1970s and 1980s, has been superceded by the more robust (and size-extensive) CCSD method.... ..."

### Table 1. Timing data for various irradiance gradients (IG) sample distribution schemes versus full solution. 8000 rays were shot from each sample point.

"... In PAGE 5: ... 2cf), and the locations of sample points chosen by each scheme. Table1 summarizes the timings on Athlon 1GHz with 768MB of RAM, running GNU/Linux kernel 2.... ..."

### Table 3: Comparison between gradient method and EA. Gradient method EA Di erence

"... In PAGE 6: ... The results show that the EA determines the variables which really have in uence over the output variable, excluding those ctitious introduced arti cially. For the sake of comparison with other non evolutionary techniques such as gradient methods (Grace, 1990) we also show in Table3 the results ( tness) obtained (on average over ten runs using di erent random number starting seeds for the EA and di erent random starting points for the gradient... ..."

### TABLE XV 20 000 h THERMAL IRRADIATION OF 235U (% DIFFERENCE BETWEEN CINDER-10 AND APPROXIMATE METHOD)

1977

### Table II. The main steps of the reduced gradient method used to perform the constraint minimization. Reduced Gradient Method

in Generalized Non-Linear Relevance Feedback for Interactive Content-Based Retrieval and Organization

2004

Cited by 1

### Table 4. Sensitivity for each rhythm type using the gradient PDF method.

"... In PAGE 3: ... Half of the misclassifications of AF were as SR. Table4 lists the sensitivity for the different rhythms using the gradient PDF method. Table 5 lists the sensitivities after the atrial arrhythmias are folded into one class.... ..."

### Table 1: Comparison of the new algorithm against the conjugate gradient method.

1999

"... In PAGE 5: ... 1In fact, our research was motivated by initial attempt to implement the conjugate gradient method for power/ground network optimization in an industry setting. In Table1 , columns 1 to 3 list, respectively, the circuit name (ckt), the number of nodes in the circuit (# node) and the number of branches (# bch). The number of iterations (# iter) (solving P1-P2) , CPU time in seconds (time), and the reduced chip area of the original area in percentage (area reduced (%)) are reported in columns 4, 5 and 6 for the new algorithm and columns 7, 8 and 9 for the conjugate gradient method.... ..."

Cited by 14

### Table 2: Assessment values for thresholding methods on gradient magnitude of pear image

1997

"... In PAGE 9: ... Since the a208 measure operates on the proportions of correctly classified labels, it gives equal weighting to both edges and non-edges. Table2 shows that stratified sampling gives better results than unstratified sampling. An improvement is made over gradient magnitude alone, and the results are comparable with the best of the MAX/MIN combinations.... In PAGE 10: ... Using the same five saliency measures as above, a second network with fifteen inputs, one hidden layer with fifty nodes, and two outputs was trained on 36000 training samples taken from the same images as before. Table2 shows that incorporating this additional contextual information enables a further improvement. Table 2 also shows the results of the other automatic thresholding methods, which are sectioned into local, semi-local, and global thresholding methods, applied to the gradient magnitude.... In PAGE 10: ... Table 2 shows that incorporating this additional contextual information enables a further improvement. Table2 also shows the results of the other automatic thresholding methods, which are sectioned into local, semi-local, and global thresholding methods, applied to the gradient magnitude. Using the LMedS estimator of the Rayleigh distribution mode and thresholding at a108a55a109 a44 a138a142a24 a138 a136 produces a good a208 value which is superior to using the iterative mean method for estimating the mode.... ..."

Cited by 19