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Locally Updated Planes optimization method

The locally updated planes (LUP) method also optimizes a chain of points simultaneously. For each point x, along the pathway, a hyperplane orthogonal to the path is defined. The points are then energy minimized with the constraint that each has to remain in its initial plane. The planes are periodically updated to account for the changing shape of the path. The LUP algorithm is ideally suited for refining a chain that is already near the adiabatic path. [Pg.522]

Linear dependence of basis functions, 164 Linear response function, 261 Linear scaling techniques, 80 Linear Synchronous Transit (LST) optimization method, 328 Local Density Approximation (LDA), Local Spin Density Approximation (LSDA) functionals, 182 Local minimum, 339 Localized Molecular Orbitals (LMO), 227 Localized orbital methods, 227 Localized Orbital/local oRiGin (LORG), for calculating magnetic properties, 252 Locally Updated Planes (LUP) optimization method, 330... [Pg.221]


See other pages where Locally Updated Planes optimization method is mentioned: [Pg.155]    [Pg.278]    [Pg.278]    [Pg.221]    [Pg.225]    [Pg.227]    [Pg.278]    [Pg.155]   
See also in sourсe #XX -- [ Pg.330 ]

See also in sourсe #XX -- [ Pg.330 ]




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Localization methods

Locally Updated Planes optimization

Locally updated planes method

Method updating

Optimization methods

Optimized method

Update

Update methods

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