This paper investigates the local convergence of the Lagrange–SQP–Newton method applied to an optimal control problem governed by a phase field equation with distributed control. The phase field equation is a system of two semilinear parabolic differential equations. Stability analysis of optimization problems and regularity results for parabolic differential equations are used to proof converg...

Trajectory optimization is a complex process that includes an infinite number of possibilities and combinations. This work focuses on particular aspect the trajectory optimization, related to velocity along predefined path, with aim minimizing power consumption. To tackle problem, functional formulation minimization strategy developed, by means Euler-Lagrange equation. The later performed using...

The Yang-Mills (YM) equation in three spacetime dimensions (3D) can be modified to include a novel parity-preserving interaction term, with an inverse mass parameter, in addition to a possible topological mass term. The novelty is that the modified YM equation is not the Euler-Lagrange equation of any gauge-invariant local action for the YM gauge potential alone. Instead, consistency is achieve...

Soliton equations are infinite-dimensional integrable systems described by nonlinear evolution equations. As one of the soliton equations, long wave equation takes on profound significance of theory and reality. By using the method of nonlinearization, the relation between long wave equation and second-order eigenvalue problem is generated. Based on the nonlinearized Lax pairs, Euler-Lagrange f...

The aim of this paper is to provide a formal link between an oscillatory neural model, whose phase is represented by a difference equation, and the Mumford and Shah functional. A Riemannian metric is induced by the pattern of neural connections, and in this setting the difference equation is studied. Its Euler–Lagrange operator Γ-converges as the dimension of the grid tends to 0 to the Mumford ...

This paper investigates the local convergence of the Lagrange{SQP{Newton method applied to an optimal control problem governed by a phase eld equation with distributed control. The phase eld equation is a system of two semilinear parabolic diierential equations. Stability analysis of optimization problems and regularity results for parabolic diierential equations are used to proof convergence o...

Leonhard Euler called (1) Pell’s Equation after the English mathematician John Pell (1611-1685). This terminology has persisted to the present day, despite the fact that it is well known to be mistaken: Pell’s only contribution to the subject was the publication of some partial results of Wallis and Brouncker. In fact the correct names are the usual ones: the problem of solving the equation was...

Unusual stabilized nite element methods are introduced here for linear second order equations. The method consists in subtracting to the standard Galerkin method a mesh dependent term composed by the adjoint operator applied to the test function multiplied by the residual of the Euler-Lagrange equation. The method is numerically tested for advective dominated and zero order dominated regimes, w...

In this paper, He’s variational iteration method (VIM) is used to obtain approximate analytical solutions of the Abelian differential equation. This method is based on Lagrange multipliers for identification of optimal values of parameters in a functional. Using this method creates a sequence which tends to the exact solution of problem. The method is capable of reducing the size of calculation...