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problem.getmqobj

Purpose
Returns the nonzeros in the quadratic objective coefficients' matrix for the columns in a given range. To achieve maximum efficiency, getmqobj returns the lower triangular part of this matrix only.
Synopsis
problem.getmqobj(start, colind, objqcoef, maxcoefs, first, last)
Arguments
start 
Array which will be filled with indices indicating the starting offsets in the colind and objqcoef arrays for each requested column. It must be length of at least last-first+2. Column i starts at position start[i] in the colind and objqcoef arrays, and has start[i+1]-start[i] elements in it. May be None if maxcoefs is 0.
colind 
Array which will be filled with at most maxcoefs columns of the nonzero elements in the lower triangular part of Q. May be None if maxcoefs is 0.
objqcoef 
Array which will be filled with at most maxcoefs nonzero element values. May be None if maxcoefs is 0.
maxcoefs 
The maximum number of elements to be returned (maxcoefs of the arrays).
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.
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