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The real-time correction of telescopic images in the search for exoplanets is highly sensitive to atmospheric aberrations. The pseudoinverse algorithm is an efficient mathematical method to filter out these turbulences. We introduce a new partial singular value decomposition (SVD) algorithm based on QR-based Diagonally Weighted Halley (QDWH) iteration for the pseudo-inverse method of adaptive optics. The QDWH partial SVD algorithm selectively calculates the most significant singular values anddoi:10.1145/3218176.3218225 dblp:conf/pasc/LtaiefSGK18 fatcat:bypnzpis6vg3nbcx4tmznnlcza