### Table 19: Means of test case storage.

2006

### Table 4: Storage Consideration: Case Study 1

1998

"... In PAGE 17: ...hen storage limitations are also considered based on the ideas of section 2.1. The STN representation of the production network in this case is shown in Figure 4 where the number in parentheses correspond to the states for the materials, tasks for the mixing, storage and packing processing tasks, and the suitable units. (a) Approximation of storage timings As shown in Table4 , the proposed formulation in this case requires also the consideration of 7 event points and results in a MILP model having 336 integer variables, 1361 contin- uous variables and 3395 constraints. The solution of the resulting MILP problem using... ..."

Cited by 19

### TABLE I THE COMPLEXITIES OF THE SAMPLING ALGORITHMS. SPACE IS THE WORST-CASE STORAGE REQUIREMENT AT ANY NODE.

2003

Cited by 53

### TABLE I THE COMPLEXITIES OF THE SAMPLING ALGORITHMS. SPACE IS THE WORST-CASE STORAGE REQUIREMENT AT ANY NODE.

2003

Cited by 53

### Table 2: Crude Oil Storage Case Study Data.

"... In PAGE 15: ... This process is illustrated in Figure 1. In this case study, the allocation of the twelve purchased crude oils (as shown in Table2 ) to three crude oil storage tanks is discussed (i.... In PAGE 16: ... Table2 contains the information required to build the naphtha and diesel constraints for the blending controller and Q matrix used in the objective function of the storage allocation Problem (13). The inequality constraints in Problem (13), as defined for this crude oil allocation case study, were... ..."

### TABLE 111 Storage information for test case Vessel State Capacity

1999

### Table 5: clumped operations on primary and secondary storage. In each case, the primitive operations are only performed if needed.

1993

"... In PAGE 7: ...able 4: primitive operations on primary and secondary storage. . . . . . . . . . . . . . . . . . . . . . . . . . 31 Table5 : clumped operations on primary and secondary storage.... ..."

### Table 2. Average generalization accuracies (percentages of correctly classi ed cases) and data storage memory require- ments (Kilobytes) of ve abstracting algorithms and pure memory-based learning (ib1-ig).

1999

"... In PAGE 3: ... All reported results are averaged over the ten folds. The results are summarized in Table2 . The results show that the algo- rithm that uses most memory, the pure memory-based learner, ib1-ig, performs best.... ..."

Cited by 6