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We propose a goal-oriented, local a posteriori error estimator for H(div) least-squares (LS) finite element methods. Our main interest is to develop an a posteriori error estimator for the flux approximation in a preassigned region of interest D ⊂ Ω. The estimator is obtained from the LS functional by scaling residuals with proper weight coefficients. The(More)