An Interior-Point Gradient Method for Large-Scale Totally Nonnegative Least Squares Problems

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dc.contributor.authorMerritt, Michaelen_US
dc.contributor.authorZhang, Yinen_US
dc.date.accessioned2018-06-18T17:52:01Zen_US
dc.date.available2018-06-18T17:52:01Zen_US
dc.date.issued2004-05en_US
dc.date.noteMay 2004en_US
dc.description.abstractWe study an interior-point gradient method for solving a class of so-called totally nonnegative least squares problems. At each iteration, the method decreases the residual norm along a diagonally scaled negative gradient direction with a special scaling. We establish the global convergence of the method, and present some numerical examples to compare the proposed method with some existing methods including the affine scaling method.en_US
dc.format.extent10 ppen_US
dc.identifier.citationMerritt, Michael and Zhang, Yin. "An Interior-Point Gradient Method for Large-Scale Totally Nonnegative Least Squares Problems." (2004) <a href="https://hdl.handle.net/1911/102020">https://hdl.handle.net/1911/102020</a>.en_US
dc.identifier.digitalTR04-08en_US
dc.identifier.urihttps://hdl.handle.net/1911/102020en_US
dc.language.isoengen_US
dc.titleAn Interior-Point Gradient Method for Large-Scale Totally Nonnegative Least Squares Problemsen_US
dc.typeTechnical reporten_US
dc.type.dcmiTexten_US
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