### Table 1: A brief summary of the patterns included into the current version of the Basic PARAMAT Pattern Library. All BLAS routines operating on dense real matrices are included. A pattern apos;s order number (left hand column) denotes the depth of a loop nest that is usually encountered in a straightforward sequential implementation of that pattern. The so{called unstable patterns, e.g. general vector operation (GVOP(1)) or multiple vector triad (VMULTIADD(1)), are not listed because they are decomposed into their basic patterns before being submitted to the code generation stage, thus being invisible to code generation.

1996

"... In PAGE 4: ... A pattern is considered to be a primitive with respect to mathematical properties, data structures of operands, memory access structure, array alignment preferences and run time behaviour. We have collected around 150 patterns in a basic pattern library (see [Ke 94a], chapter 5 for the complete speci cation; Table1 gives an overview). We have also recorded typical implementation prototypes (syntactic variations) of these patterns that are used to occur in the sequential source codes considered; they are speci ed in appendix B of [Ke 94a].... In PAGE 18: ... Reduction operations For instances of speci c common reduction operations (cf. Table1 ) like global sum, global product, global OR, global maximum etc., we can make optimal use of optimized routines that are, in general, already supplied with the run time environment of the target machine.... ..."

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### lable there exists a state-feedback controller , u(t) = ?Kx(t), such that the poles (eigenvalues) of the closed-loop system can be located arbitrarily. State-space theory for feedback design was introduced by Kalman in the early sixties [10].Many text books are now available on this approach, see for example [9]. One state-space design theory, which is especially well suited for multivariable feedback systems, is the so-called linear-quadratic (LQ) theory. In the LQ theory the problem is to nd a state- feedback control law which minimizes an integral quadratic per- formance measure of the form

### TABLE IV COMPARISON BETWEEN THE THROUGHPUT OF THE TP-ALGORITHM AND THE, SO-CALLED, SHORTEST PATH SCHEME THAT ACHIEVES THE MAXIMUM THEORETICAL THROUGHPUT.

2003

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### TABLE III COMPARISON BETWEEN THE THROUGHPUT OF THE TP-ALGORITHM AND THE, SO-CALLED, SHORTEST PATH SCHEME THAT ACHIEVES THE MAXIMUM THEORETICAL THROUGHPUT.

2003

Cited by 8

### TABLE III COMPARISON BETWEEN THE THROUGHPUT OF THE TP-ALGORITHM AND THE, SO-CALLED, SHORTEST PATH SCHEME THAT ACHIEVES THE MAXIMUM THEORETICAL THROUGHPUT.

2003

Cited by 8

### Table 3. Results for Australian institutions A B C D E F G

2007

"... In PAGE 13: ...Applying this metric would give the universities of Sydney and Melbourne the highest share of government floor funding (see Table3 , column G). As a general trend it seems clear that the larger universities (Go8 Universities) do well from a formula- based funding of the proposed type.... In PAGE 13: ... As a general trend it seems clear that the larger universities (Go8 Universities) do well from a formula- based funding of the proposed type. This is partly because of the quality dimension (displayed in column E, Table3 ) which is given a heavy weight in this model. ANU has fewer articles than New S Wales Univ, but in the end the summation of Waring value and CPP/FCSm gives ANU a higher figure.... ..."

### Table 1. Animals (Entities) and Attributes in the so-called trasnpose way (13x16). In the front way (16x13), Entities are rows and Attributes columns.

2002

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### Table 3. SO-CAL Results using hand-ranked dictionary

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