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LINEAR LEAST SQUARES AND QUADRATIC PROGRAMMING
STANFORD UNIV CA DEPT OF COMPUTER SCIENCE
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Several algorithms are presented for solving linear least squares problems the basic tool is orthogonalization techniques. A highly accurate algorithm is presented for solving least squares problems with linear inequality constraints. A method is also given for finding the least squares solution when there is a quadratic constraint on the solution.
APPROVED FOR PUBLIC RELEASE