### Table 5.5: Statistics of storage classes of COOL.

### Table 5.6: Statistics of storage classes of COOL.

### TABLE 2 Cooling schedules

in Performance Guided System Level Hardware/Software Partitioning with Iterative Improvement Heuristics

1995

Cited by 3

### TABLE 2 Cooling schedules

### Table 1. Hot and Cool Model Properties Hot Model Cool Model

in The Effects of Thermal Energetics on 3D Hydrodynamic Instabilities in Massive Protostellar Disks.

"... In PAGE 7: ...2. The Cool Model When the dimensionless Hot Model is interpreted in terms of physical units using Palla amp; Stahler (1992) in Table1 , we see that the stellar central temperature is reasonable, approaching the deuterium ignition point, but the disk is extremely hot because it is required to lie on the same adiabat as the star, which makes it somewhat resistant to nonaxisymmetric instabilities. The Toomre stability parameter for a thin disk is Q = cs G ; (2) where G is the universal gravitational constant, cs = ( P= )1=2 is the local adiabatic sound speed with = 5/3, and = @2 =@r2 + 3r?1(@ =@r) is the epicyclic frequency (Toomre 1964, see also Binney amp; Tremaine 1987).... In PAGE 7: ... Objects are locally unstable to nonaxisymmetric disturbances for Q somewhat greater than unity. As shown in Table1 and Figure 2, Q 2 to 3 over the disk region of the Hot Model. At these values, one expects transient swing ampli cation of nonaxisymmetric structure, but perhaps not a sustained instability.... In PAGE 9: ... 1989, Paper I). Table1 lists, for both models, the values of Jtot, M, Mdisk, Req, R , central stellar density c, surface density (r=Req = 0:5), midplane temperature Tm(r=Req = 0:5), Q(r=Req = 0:5), T=jW j, the MIRP and the ERP. The models correspond to an early stage in the evolution of a protostellar disk.... In PAGE 9: ... Any nonaxisymmetric instabilities that do grow will do so on time scales much shorter than the 105 years time scale for accretion. The disk temperatures in Table1 can be compared with rough estimates of disk photospheric temperatures derived from the accretion luminosity generated by rotational collapse to the equatorial plane (see formulas in Chick and Cassen 1997), which range from... ..."

### Table 1. Cooling schedules relations

"... In PAGE 3: ... Logarithmic cooling schedule gives a good optimum, and with this method the algorithm is efficient and fast enough. The relations between the four schedules can be seen in the following table, from the viewpoint of the final profit and the speed ( Table1 .).... ..."

### Table 6: Two Cooling Schemes

1998

"... In PAGE 10: ...e. the sum of all distances between consecutive cities in the particular route, generation of new routes from another one, by reversal of the path between two arbitrary cities (nodes), in order to de ne the predicate generate=2 (and first=1), cooling scheme given by the standard one in Table6 , to de ne cool=2 (and initial=1), and nally a stop criterion to de ne when the SA algorithm should return an approxi- mative solution (stop criterion). Although very limited work was spent on developing and testing the system, it was a very simple task to implement all these predicates and to undertake some test runs on \real-world quot; data.... In PAGE 11: ... We implement a simple algorithm to solve this optimisation problem using the generic SA algorithm in Table 5 to solve the MAX SAT problem. To do so, we have only to de ne the problem and domain speci c elements of the algorithm, data structures to represent the target CNF formula as an array of posi- tive and negative literals, and an assignment by a list of truth values, cost function to be minimised as the number of unsatis able clauses to de ne cost=1, generation of new assignments from another one, by negating the truth value for an element in the list representing the previous assignment, in order to de ne the predicate generate=2 (and first=1), cooling scheme similar to the one used for the TSP problem and depicted in Table6 , to de ne cool=2 (and initial=1), and nally a stop criterion to de ne when the SA algorithm should return an approxi- mative solution (stop criterion). 5 An Application: Randomised Rounding An alternative way which has been proposed for (approximately) solving the MAX SAT and other maximisation problems, like MAX CUT, etc.... ..."

Cited by 3

### Table 6: Two Cooling Schemes

1998

"... In PAGE 10: ...e. the sum of all distances between consecutive cities in the particular route, generation of new routes from another one, by reversal of the path between two arbitrary cities (nodes), in order to de ne the predicate generate=2 (and first=1), cooling scheme given by the standard one in Table6 , to de ne cool=2 (and initial=1), and nally a stop criterion to de ne when the SA algorithm should return an approxi- mative solution (stop criterion). Although very limited work was spent on developing and testing the system, it was a very simple task to implement all these predicates and to undertake some test runs on \real-world quot; data.... In PAGE 11: ... We implement a simple algorithm to solve this optimisation problem using the generic SA algorithm in Table 5 to solve the MAX SAT problem. To do so, we have only to de ne the problem and domain speci c elements of the algorithm, data structures to represent the target CNF formula as an array of posi- tive and negative literals, and an assignment by a list of truth values, cost function to be minimised as the number of unsatis able clauses to de ne cost=1, generation of new assignments from another one, by negating the truth value for an element in the list representing the previous assignment, in order to de ne the predicate generate=2 (and first=1), cooling scheme similar to the one used for the TSP problem and depicted in Table6 , to de ne cool=2 (and initial=1), and nally a stop criterion to de ne when the SA algorithm should return an approxi- mative solution (stop criterion). 5 An Application: Randomised Rounding An alternative way which has been proposed for (approximately) solving the MAX SAT and other maximisation problems, like MAX CUT, etc.... ..."

Cited by 3

### Table 1. The cooling function used

"... In PAGE 3: ... (1996). Temperature T is measured in Kelvins and in ergs?1 g?2 cm3 (see Table1 ). The energy source term describing the heating due to supernova explosions is ? = g(t)ESN V ; (6) where ESN is the explosion energy, V = x y z is the explosion volume, x = y = z is our spatial resolution and g(t) = 1 when t1 t t2.... In PAGE 7: ... These processes, and possibly also thermal instability for T gt; 105 K due to the properties of our cooling function (cf. Table1 ), produce some small scale motions inside the remnant. Vorticity production, however, was found to be weak.... ..."

### Table 7. Dependence of 237Np, 238Pu, 241Am, 242Cm and 244Cm concentrations (after cooling for 1 000 days) on discharge burn-up

"... In PAGE 7: ...able 6. Dry spent fuel storage designs currently approved by US NRC......................................... 49 Table7 . Dependence of 237Np, 238Pu, 241Am, 242Cm and 244Cm concentrations (after cooling for 1 000 days) on discharge burn-up .... In PAGE 51: ... There is a tendency for the inventories of many transuranics to increase very significantly with burn-up. As an illustration, Table7 and Figure 9 show FISPIN discharge inventories for 237Np, 238Pu, 241Am, 242Cm and 244Cm in UO2 PWR fuel as a function of discharge burn-up between 45-95 GWd/t. These calculations correspond to a cooling time of 1 000 days after discharge and the reference enrichment/burn-up relation of Section 4.... ..."