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Modifications of the limited-memory BFGS method based on the idea of conjugate directions

Result description

Simple modifications of the limited-memory BFGS method (L-BFGS) for large scale unconstrained optimization are considered, which consist in corrections of the used difference vectors (derived from the idea of conjugate directions), utilizing informationfrom the preceding iteration. For quadratic objective functions, the improvement of convergence is the best one in some sense and all stored difference vectors are conjugate for unit stepsizes. The algorithm is globally convergent for convex sufficientlysmooth functions. Numerical experiments indicate that the new method often improves the L-BFGS method significantly.

Keywords

limited memoryvariable metric methodsconjugate directionslarge scale optimizationnumerical solution

The result's identifiers

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modifications of the limited-memory BFGS method based on the idea of conjugate directions

  • Original language description

    Simple modifications of the limited-memory BFGS method (L-BFGS) for large scale unconstrained optimization are considered, which consist in corrections of the used difference vectors (derived from the idea of conjugate directions), utilizing informationfrom the preceding iteration. For quadratic objective functions, the improvement of convergence is the best one in some sense and all stored difference vectors are conjugate for unit stepsizes. The algorithm is globally convergent for convex sufficientlysmooth functions. Numerical experiments indicate that the new method often improves the L-BFGS method significantly.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Programs and Algorithms of Numerical Matematics 16

  • ISBN

    978-80-85823-62-2

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    209-214

  • Publisher name

    Institute of Mathematics, Academy of Sciences of the Czech Republic

  • Place of publication

    Prague

  • Event location

    Dolní Maxov

  • Event date

    Jun 3, 2012

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article