For solving large-scale nonlinear equations, a nonlinear fast deterministic block Kaczmarz method based on a greedy strategy is proposed. The method is adaptive and does not need to compute the pseudoinverses of submatrices. It is proved that the method will converge linearly to the nearest solution to the initial point under mild conditions. Numerical experiments are performed to illustrate that the method is efficient at least for the tested problems.
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Simons Fdn, Flatiron Inst, CCM, New York, NY USASimons Fdn, Flatiron Inst, CCM, New York, NY USA
Gower, Robert
Lorenz, Dirk A.
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TU Braunschweig, Inst Anal & Algebra, Braunschweig, Germany
Univ Bremen, Ctr Ind Math, Fachbereich 3, Bremen, GermanySimons Fdn, Flatiron Inst, CCM, New York, NY USA
Lorenz, Dirk A.
Winkler, Maximilian
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TU Braunschweig, Inst Anal & Algebra, Braunschweig, Germany
Univ Bremen, Ctr Ind Math, Fachbereich 3, Bremen, GermanySimons Fdn, Flatiron Inst, CCM, New York, NY USA
机构:
Univ Sci & Technol China, Sch Math Sci, Hefei 230026, Peoples R ChinaUniv Sci & Technol China, Sch Math Sci, Hefei 230026, Peoples R China
Tan, Longze
Guo, Xueping
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East China Normal Univ, Sch Math Sci, Shanghai Key Lab PMMP, Shanghai 200241, Peoples R ChinaUniv Sci & Technol China, Sch Math Sci, Hefei 230026, Peoples R China
Guo, Xueping
Deng, Mingyu
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Univ Int Business & Econ, Sch Int Trade & Econ, Beijing 100029, Peoples R ChinaUniv Sci & Technol China, Sch Math Sci, Hefei 230026, Peoples R China
Deng, Mingyu
Chen, Jingrun
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Univ Sci & Technol China, Suzhou Inst Adv Res, Sch Math Sci, Suzhou 215123, Peoples R ChinaUniv Sci & Technol China, Sch Math Sci, Hefei 230026, Peoples R China