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Augmenteeritud Lagrangi meetod

Augmenteeritud Lagrangi meetod, mille töötasid 1969. aastal välja Magnus R. Hestenes ja M. J. D. Powell, on võimas tehnika rangete optimeerimisülesannete lahendamiseks. See teisendab ranguseülesande järjestikusteks ranguseta alamülesanneteks, liites Lagrangi funktsioonile ruutpenaliseerimistermi, mis võimaldab tõhusalt lahendada suuri ülesandeid, sealhulgas koonilisi ja mittekroonilisi juhtumeid.

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Loe meetodi täielikku kirjeldust

Ainult liikmetele

Selle osa lugemiseks logi sisse tasuta kontoga.

Logi sisse

Method map

The neighbourhood of related methods — select a node to explore.

Allikad

  1. Hestenes, M. R. (1969). Multiplier and gradient methods. Journal of Optimization Theory and Applications, 4(5), 303-320. DOI: 10.1007/BF00927673
  2. Powell, M. J. D. (1969). A method for nonlinear constraints in minimization problems. In Optimization (pp. 283-298). Academic Press. link
  3. Boyd, S., Parikh, N., Chu, E., Peleato, B., & Eckstein, J. (2011). Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends in Machine Learning, 3(1), 1-122. DOI: 10.1561/2200000016

Kuidas sellele lehele viidata

ScholarGate. (2026, June 3). Augmented Lagrangian Method for Constrained Optimization. ScholarGate. https://scholargate.app/et/operations-research/augmented-lagrangian-method

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Sellele viitavad

ScholarGateAugmented Lagrangian Method (Augmented Lagrangian Method for Constrained Optimization). Loetud 2026-06-15 aadressilt https://scholargate.app/et/operations-research/augmented-lagrangian-method · Andmestik: https://doi.org/10.5281/zenodo.20539026