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Top Forums Programming does any one know how to solve? Post 302228028 by redoubtable on Friday 22nd of August 2008 03:11:08 PM
Old 08-22-2008
Quote:
Originally Posted by shamrock
Imho that solution should be used for both static and dynamic cases. It's not advisable to create a 1000 element array on the stack and end up using only a small portion of it. Knowledge of sizeof operator is even more important if the code was accepting user input from the keyboard because in that scenario calls to malloc() printf() and fgets() have to be interleaved together in order to fill up a single empRec structure though its size should be known beforehand.
I agree with static cases when the total number of structs inside employee is known and sizeof() returns the whole size of the array so if we want to know the number of entries we just have to divide sizeof(employee) for sizeof(struct empRec). But in dynamic cases when the user wishes to add more entries in employee array struct, if the array (employee) is bigger (1000 structs) than the number of entries (struct empRec) it has, sizeof() will not help to determine the number of entries because it will give us the size of those 1000 structs and we just want to know those we're using. Also if pointers/malloc() are used, sizeof() won't be of any help I guess.
Code:
    static struct empRec employee[10] =
    {
        {"Peter North","4B-208",35400,{10,11,1983}},
        {"John Musa","2B-118",25400,{07,10,1993}},
        {"Paula Jeminova","1A-506",18700,{02,1,1990}},
        {"Patricia Silver","6C-123",52100,{14,21,2000}},
        {"Robert mill","4D-318",42100,{01,19,2008}}
    }

In this case, if we would want to add a few more entries dynamically we could not determine the number of existing entries (5) using sizeof(), because sizeof(employee) is the same as saying sizeof(struct empRec)*10.

This is why I was advising the original poster to use a NULL/empty struct reference as the final entry so the number of entries could be calculated by counting structs until an empty one was found.

I also agree that having 1000 entries is far too much, but I was not arguing about that. Anyway, how do you use sizeof() in dynamic cases?
 

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DTGSY2(l)								 )								 DTGSY2(l)

NAME
DTGSY2 - solve the generalized Sylvester equation SYNOPSIS
SUBROUTINE DTGSY2( TRANS, IJOB, M, N, A, LDA, B, LDB, C, LDC, D, LDD, E, LDE, F, LDF, SCALE, RDSUM, RDSCAL, IWORK, PQ, INFO ) CHARACTER TRANS INTEGER IJOB, INFO, LDA, LDB, LDC, LDD, LDE, LDF, M, N, PQ DOUBLE PRECISION RDSCAL, RDSUM, SCALE INTEGER IWORK( * ) DOUBLE PRECISION A( LDA, * ), B( LDB, * ), C( LDC, * ), D( LDD, * ), E( LDE, * ), F( LDF, * ) PURPOSE
DTGSY2 solves the generalized Sylvester equation: A * R - L * B = scale * C (1) D * R - L * E = scale * F, using Level 1 and 2 BLAS. where R and L are unknown M-by-N matrices, (A, D), (B, E) and (C, F) are given matrix pairs of size M-by-M, N-by- N and M-by-N, respectively, with real entries. (A, D) and (B, E) must be in generalized Schur canonical form, i.e. A, B are upper quasi triangular and D, E are upper triangular. The solution (R, L) overwrites (C, F). 0 <= SCALE <= 1 is an output scaling factor chosen to avoid overflow. In matrix notation solving equation (1) corresponds to solve Z*x = scale*b, where Z is defined as Z = [ kron(In, A) -kron(B', Im) ] (2) [ kron(In, D) -kron(E', Im) ], Ik is the identity matrix of size k and X' is the transpose of X. kron(X, Y) is the Kronecker product between the matrices X and Y. In the process of solving (1), we solve a number of such systems where Dim(In), Dim(In) = 1 or 2. If TRANS = 'T', solve the transposed system Z'*y = scale*b for y, which is equivalent to solve for R and L in A' * R + D' * L = scale * C (3) R * B' + L * E' = scale * -F This case is used to compute an estimate of Dif[(A, D), (B, E)] = sigma_min(Z) using reverse communicaton with DLACON. DTGSY2 also (IJOB >= 1) contributes to the computation in STGSYL of an upper bound on the separation between to matrix pairs. Then the input (A, D), (B, E) are sub-pencils of the matrix pair in DTGSYL. See STGSYL for details. ARGUMENTS
TRANS (input) CHARACTER = 'N', solve the generalized Sylvester equation (1). = 'T': solve the 'transposed' system (3). IJOB (input) INTEGER Specifies what kind of functionality to be performed. = 0: solve (1) only. = 1: A contribution from this subsystem to a Frobenius norm-based estimate of the separation between two matrix pairs is computed. (look ahead strategy is used). = 2: A contribution from this subsystem to a Frobenius norm-based estimate of the separation between two matrix pairs is computed. (DGECON on sub-systems is used.) Not referenced if TRANS = 'T'. M (input) INTEGER On entry, M specifies the order of A and D, and the row dimension of C, F, R and L. N (input) INTEGER On entry, N specifies the order of B and E, and the column dimension of C, F, R and L. A (input) DOUBLE PRECISION array, dimension (LDA, M) On entry, A contains an upper quasi triangular matrix. LDA (input) INTEGER The leading dimension of the matrix A. LDA >= max(1, M). B (input) DOUBLE PRECISION array, dimension (LDB, N) On entry, B contains an upper quasi triangular matrix. LDB (input) INTEGER The leading dimension of the matrix B. LDB >= max(1, N). C (input/ output) DOUBLE PRECISION array, dimension (LDC, N) On entry, C contains the right-hand-side of the first matrix equation in (1). On exit, if IJOB = 0, C has been overwritten by the solution R. LDC (input) INTEGER The leading dimension of the matrix C. LDC >= max(1, M). D (input) DOUBLE PRECISION array, dimension (LDD, M) On entry, D contains an upper triangular matrix. LDD (input) INTEGER The leading dimension of the matrix D. LDD >= max(1, M). E (input) DOUBLE PRECISION array, dimension (LDE, N) On entry, E contains an upper triangular matrix. LDE (input) INTEGER The leading dimension of the matrix E. LDE >= max(1, N). F (input/ output) DOUBLE PRECISION array, dimension (LDF, N) On entry, F contains the right-hand-side of the second matrix equation in (1). On exit, if IJOB = 0, F has been overwritten by the solution L. LDF (input) INTEGER The leading dimension of the matrix F. LDF >= max(1, M). SCALE (output) DOUBLE PRECISION On exit, 0 <= SCALE <= 1. If 0 < SCALE < 1, the solutions R and L (C and F on entry) will hold the solutions to a slightly per- turbed system but the input matrices A, B, D and E have not been changed. If SCALE = 0, R and L will hold the solutions to the homogeneous system with C = F = 0. Normally, SCALE = 1. RDSUM (input/output) DOUBLE PRECISION On entry, the sum of squares of computed contributions to the Dif-estimate under computation by DTGSYL, where the scaling factor RDSCAL (see below) has been factored out. On exit, the corresponding sum of squares updated with the contributions from the cur- rent sub-system. If TRANS = 'T' RDSUM is not touched. NOTE: RDSUM only makes sense when DTGSY2 is called by STGSYL. RDSCAL (input/output) DOUBLE PRECISION On entry, scaling factor used to prevent overflow in RDSUM. On exit, RDSCAL is updated w.r.t. the current contributions in RDSUM. If TRANS = 'T', RDSCAL is not touched. NOTE: RDSCAL only makes sense when DTGSY2 is called by DTGSYL. IWORK (workspace) INTEGER array, dimension (M+N+2) PQ (output) INTEGER On exit, the number of subsystems (of size 2-by-2, 4-by-4 and 8-by-8) solved by this routine. INFO (output) INTEGER On exit, if INFO is set to =0: Successful exit <0: If INFO = -i, the i-th argument had an illegal value. >0: The matrix pairs (A, D) and (B, E) have common or very close eigenvalues. FURTHER DETAILS
Based on contributions by Bo Kagstrom and Peter Poromaa, Department of Computing Science, Umea University, S-901 87 Umea, Sweden. LAPACK version 3.0 15 June 2000 DTGSY2(l)
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