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Lagrange small variations

This needs to be minimized with respect to all possible variations of l r) compatible with the normalization condition, equation (15.34). Minimization can be accomplished via the introduction of the Lagrange multiplier Sq such that for small variations in... [Pg.343]

When Lagrange multipliers are known in correspondence with the solution, it is possible to perform a sensitivity analysis of the solution subject to small variations in the constraint conditions (Buzzi-Ferraris and Manenti, 2010a). [Pg.345]

Now, consider independently small changes in e(r), / and x- These variations are now allowed to be independent because of the use of the Lagrange multiplier, x(0 to impose the constraint equation. [Pg.75]

As in ordinary mechanics, the Euler - Lagrange equations demand p = F, which arises from a variational problem. Now we want to transform the position q into another new position. We may express this as the position g is a function of some parameter s, i.e., q = q s). In the same way the velocity transforms when the position is changed, q = q s). When the Lagrangian is invariant for such a transformation, we address this as a kind of symmetry, here the translational homogeneity of space. This means, changing the parameter 5 by a small value, the Lagrangian should remain the same ... [Pg.410]

To check if any active constraint is to be changed into a passive one, we can exploit ( ) the aforementioned feature of performing a sensitivity analysis of the solution by means of Lagrange multipliers against small constraint variations. [Pg.347]


See other pages where Lagrange small variations is mentioned: [Pg.620]    [Pg.61]    [Pg.28]    [Pg.61]    [Pg.96]    [Pg.282]    [Pg.90]    [Pg.345]    [Pg.29]    [Pg.260]    [Pg.125]   
See also in sourсe #XX -- [ Pg.345 ]




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