Algorithm 896: LSA: Algorithms for large-scale optimization

doi:10.1145/1527286.1527290

Algorithm 896: LSA: Algorithms for large-scale optimization

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Authors:	Ladislav Lukšan	Academy of Sciences of the Czech Republic, Czech Republic
	Ctirad Matonoha	Academy of Sciences of the Czech Republic, Czech Republic
	Jan Vlček	Academy of Sciences of the Czech Republic, Czech Republic

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	ACM Transactions on Mathematical Software (TOMS) TOMS Homepage archive
	Volume 36 Issue 3, July 2009 Article No. 16 ACM New York, NY, USA table of contents doi>10.1145/1527286.1527290

	2009 Article Research Refereed
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Tags: algorithm design and analysis algorithms design discrete newton methods large-scale nonlinear least squares large-scale nonlinear minimax large-scale nonsmooth optimization large-scale optimization large-scale systems of nonlinear equations limited-memory methods optimization partially separable problems primal interior-point methods quasi-newton methods sparse problems

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