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Optimization conjugate gradient

Points-On-a-Sphere (POS) force held, 39 Polak-Ribiere conjugate gradient optimization, 318 Polaiizabihty, 236, 248... [Pg.221]

These two additional restrictions are implemented numerically. Identify two key independent design variables and provide realistic upper and lower bounds for these variables to assist the maximization algorithm in finding the best answer. The conjugate gradient optimization method should converge in approximately 20 iterations. [Pg.22]

See other pages where Optimization conjugate gradient is mentioned: [Pg.304]    [Pg.326]    [Pg.76]    [Pg.269]    [Pg.220]    [Pg.220]    [Pg.837]    [Pg.304]    [Pg.326]    [Pg.213]    [Pg.280]    [Pg.115]    [Pg.220]    [Pg.45]   
See also in sourсe #XX -- [ Pg.122 , Pg.304 ]

See also in sourсe #XX -- [ Pg.122 , Pg.304 ]

See also in sourсe #XX -- [ Pg.318 ]

See also in sourсe #XX -- [ Pg.318 ]

See also in sourсe #XX -- [ Pg.318 ]



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