On the limited memory BFGS method for large scale optimization

No abstract is available for this paper.

• Publication year

  1989

• Venue

  Mathematical programming

• Publication date

  1989-12-01

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1007/BF01589116
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Practical optimization

  2019cited by this paper
• Some numerical experiments with variable-storage quasi-Newton algorithms

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• A tool for the analysis of Quasi-Newton methods with application to unconstrained minimization

  1989influential reference
• A view of unconstrained optimization

  1989cited by this paper
• Practical Methods of Optimization

  1988cited by this paper
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  1985influential reference
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