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L-BFGS
- Referenced in 623 articles [sw03229]
- optimization. L-BFGS-B is a limited-memory algorithm for solving large nonlinear optimization problems ... obtain, or for large dense problems. L-BFGS-B can also be used for unconstrained ... case performs similarly to its predecessor, algorithm L-BFGS (Harwell routine VA15). The algorithm...
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LBFGS-B
- Referenced in 233 articles [sw05142]
- optimization L-BFGS-B is a limited-memory algorithm for solving large nonlinear optimization problems ... obtain, or for large dense problems. L-BFGS-B can also be used for unconstrained ... case performs similarly to its predecessor, algorithm L-BFGS (Harwell routine VA15). The algorithm...
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L-BFGS-B
- Referenced in 133 articles [sw01234]
- optimization. L-BFGS-B is a limited-memory algorithm for solving large nonlinear optimization problems ... obtain, or for large dense problems. L-BFGS-B can also be used for unconstrained ... case performs similarly to its predecessor, algorithm L-BFGS (Harwell routine VA15). The algorithm...
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lbfgs
- Referenced in 1 article [sw26415]
- package lbfgs: Limited-memory BFGS Optimization. A wrapper built around the libLBFGS optimization library ... implements both the Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) and the Orthant-Wise ... Quasi-Newton Limited-Memory (OWL-QN) optimization algorithms. The L-BFGS algorithm solves the problem...
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MSS
- Referenced in 5 articles [sw08530]
- MATLAB Software for L-BFGS Trust-Region Subproblems for Large-Scale Optimization. A MATLAB implementation ... quadratic function defined by a limited-memory BFGS matrix subject to a two-norm trust ... Moré-Sorensen direct method into an L-BFGS setting for large-scale optimization...