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Kinematics formal development

Instead of a formal development of conditions that define a local optimum, we present a more intuitive kinematic illustration. Consider the contour plot of the objective function fix), given in Fig. 3-54, as a smooth valley in space of the variables X and x2. For the contour plot of this unconstrained problem Min/(x), consider a ball rolling in this valley to the lowest point offix), denoted by x. This point is at least a local minimum and is defined by a point with a zero gradient and at least nonnegative curvature in all (nonzero) directions p. We use the first-derivative (gradient) vector Vf(x) and second-derivative (Hessian) matrix V /(x) to state the necessary first- and second-order conditions for unconstrained optimality ... [Pg.61]


See other pages where Kinematics formal development is mentioned: [Pg.6]    [Pg.3]    [Pg.89]    [Pg.266]    [Pg.145]    [Pg.77]    [Pg.71]   
See also in sourсe #XX -- [ Pg.31 , Pg.32 , Pg.33 , Pg.34 , Pg.35 , Pg.36 , Pg.37 , Pg.38 ]




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