### Table 2. Linear operating conditions.

2003

"... In PAGE 3: ...Mathematical model We adopted the following JMLG model a0a2a1a4a3 a5a7a6a8a0a2a1a10a9 a0a2a1a12a11a14a13a16a15 a17a18a1a4a19 a20a21a6a8a0a2a1a22a15a23a17a18a1a12a11a14a13a25a24a27a26a28a6a8a0a2a1a22a15a23a29a30a1a14a24a32a31a7a6a8a0a2a1a22a15a23a33a34a1 a35a36a1a4a19 a1 a6a8a0a2a1a22a15a23a17a37a1a38a24a32a39a40a6a8a0a2a1a22a15a23a41a42a1a43a24a32a44a7a6a8a0a2a1a22a15a23a33a34a1a46a45 where a35 a1a48a47a50a49a52a51a54a53 denotes the measurements (output water temperature), a17 a1a7a47a55a49a52a51a36a56 denotes the unknown continuous states, a33 a1a48a47a32a57 is a known control signal (steam flow), a0 a1a48a47a59a58a61a60 a45a16a62a63a62a16a62a10a45a65a64a43a66a54a67 denotes the unknown discrete states described in Table2 .... ..."

Cited by 1

### Table 2. Operations on linear segments.

### Table 1 MTL linear algebra operations.

1998

"... In PAGE 3: ...Table 1 MTL linear algebra operations. 3 MTL Algorithms Table1 lists the principal algorithms provided by MTL. This list seems sparse, but a large number of functions are available by combining the above algorithms with the strided(), scaled(), and trans() iterator adapters.... ..."

Cited by 9

### Table 1. MTL linear algebra operations.

1998

"... In PAGE 4: ...The MTL Generic Algorithms for Linear Algebra The Matrix Template Library provides a rich set of basic linear algebra opera- tions, roughly equivalent to the Level-1, Level-2 and Level-3 BLAS. Table1 lists the principle algorithms included in MTL. In the table, alpha and s are scalars, x,y,z are 1-D containers, A,B,C,E are row or column oriented matrices, U, L are upper and lower triangular matrices, and i is an iterator.... In PAGE 4: ... With BLAIS, the blocking sizes can be modi ed at compile time through a few global constants, so that the algorithms can be customized for the memory hierarchy of a particular architecture. Note that in Table1 di erent operations are not de ned for each permutation of transpose, scaling, and striding. Instead, only one algorithm is provided, but it can be combined with the use of strided and scaled vector adapters, or the trans() method to create the permutations.... ..."

Cited by 7

### Table 1. MTL linear algebra operations.

1998

"... In PAGE 4: ...The MTL Generic Algorithms for Linear Algebra The Matrix Template Library provides a rich set of basic linear algebra opera- tions, roughly equivalent to the Level-1, Level-2 and Level-3 BLAS. Table1 lists the principle algorithms included in MTL. In the table, alpha and s are scalars, x,y,z are 1-D containers, A,B,C,E are row or column oriented matrices, U, L are upper and lower triangular matrices, and i is an iterator.... In PAGE 4: ... With BLAIS, the blocking sizes can be modi#0Ced at compile time through a few global constants, so that the algorithms can be customized for the memory hierarchy of a particular architecture. Note that in Table1 di#0Berent operations are not de#0Cned for each permutation of transpose, scaling, and striding. Instead, only one algorithm is provided, but it can be combined with the use of strided and scaled vector adapters, or the trans#28#29 method to create the permutations.... ..."

Cited by 7

### Table 1. MTL linear algebra operations.

"... In PAGE 5: ... Algorithms. Table1 lists the principle algorithms included in MTL. In the table, alpha and s are scalars, x,y, and z are 1D containers, A, B, C, and E are matrices, and T is a tri- angular matrix.... ..."

### Table 1. Basic operations in linear iterative solvers.

2001

"... In PAGE 4: ... Thus we have successfully split the operations for the linear iterative solvers (2) and (3) into hardware supported functions. Table1 lists these operations together with their counterparts in graphics hardware. Table 1.... ..."

Cited by 24

### Table 1: Linear Temporal Logic Operators

"... In PAGE 1: ... If more than one proposition is true, they are written between parentheses. Table1 lists the usual LTL operators with example and counter example traces. Table 1: Linear Temporal Logic Operators ... ..."

### Table 3. Projection operators for linear fea- tures

"... In PAGE 2: ... Firslty, we must consider the projection operator (C8 AB AC )orcamera matrix that denotes the projection of linear features from the scene to the image plane (C8 AB AC BM C8 BF AX C8 BF ). Table3 summarises the range of projection operators for linear features. Hyperplane C8 BF C8 BFA3 Point DC BT AO C8 BT CP DC CP - Line DC CJBTBUCL AO C8 CJBT CJCP C8 BUCL CQCL DC CJCPCQCL DC CJBUBVCL AO C8 CJCR CJBU C8 CSCL BVCL DC CJCRCSCL Plane - DC BT AO C8 CS BT DC CS Table 3.... ..."