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XPRSgetmqobj, XPRSgetmqobj64

XPRSgetmqobj, XPRSgetmqobj64


Purpose
Returns the nonzeros in the quadratic objective coefficients matrix for the columns in a given range. To achieve maximum efficiency, XPRSgetmqobj returns the lower triangular part of this matrix only.
Synopsis
int XPRS_CC XPRSgetmqobj (XPRSprob prob, int mstart[], int mclind[], double dobjval[], int size, int *nels, int first, int last);

int XPRS_CC XPRSgetmqobj64 (XPRSprob prob, XPRSint64 mstart[], int mclind[], double dobjval[], XPRSint64 size, XPRSint64 *nels, int first, int last);
Arguments
prob 
The current problem.
mstart 
Integer array which will be filled with indices indicating the starting offsets in the mclind and dobjval arrays for each requested column. It must be length of at least last-first+2. Column i starts at position mstart[i] in the mrwind and dmatval arrays, and has mstart[i+1]-mstart[i] elements in it. May be NULL if size is 0.
mclind 
Integer array of length size which will be filled with the column indices of the nonzero elements in the lower triangular part of Q. May be NULL if size is 0.
dobjval 
Double array of length size which will be filled with the nonzero element values. May be NULL if size is 0.
size 
The maximum number of elements to be returned (size of the arrays).
nels 
Pointer to an integer where the number of nonzero quadratic objective coefficients will be returned. If the number of nonzero coefficients is greater than size, then only size elements will be returned. If nels is smaller than size, then only nels will be returned.
first 
First column in the range.
last 
Last column in the range.
Further information
The objective function is of the form cTx+0.5xTQx where Q is positive semi-definite for minimization problems and negative semi-definite for maximization problems. If this is not the case the optimization algorithms may converge to a local optimum or may not converge at all. Note that only the upper or lower triangular part of the Q matrix is returned.
Related topics

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