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Multipliers, Lagrange

In the OCT fomnilation, the TDSE written as a 2 x 2 matrix in a BO basis set, equation (Al.6.72). is introduced into the objective fiinctional with a Lagrange multiplier, x(x, t) [54]. The modified objective fiinctional may now be written as... [Pg.274]

A better approach is the method of Lagrange multipliers. This introduces the Lagrangian fiinction [59]... [Pg.2348]

By combining the Lagrange multiplier method with the highly efficient delocalized internal coordinates, a very powerfiil algoritlun for constrained optimization has been developed [ ]. Given that delocalized internal coordinates are potentially linear combinations of all possible primitive stretches, bends and torsions in the system, cf Z-matrix coordinates which are individual primitives, it would seem very difficult to impose any constraints at all however, as... [Pg.2348]

The constrained equations of motion in cartesian eoordinates can be solved by the SHAKE or (the essentially equivalent) RATTLE method (see [8]) which requires the solution of a non-linear system of equations in the Lagrange multiplier funetion A. The equivalent formulation in local coordinates ean still be integrated by using the explicit Verlet method. [Pg.289]

The form of the Hamiltonian impedes efficient symplectic discretization. While symplectic discretization of the general constrained Hamiltonian system is possible using, e.g., the methods of Jay [19], these methods will require the solution of a nontrivial nonlinear system of equations at each step which can be quite costly. An alternative approach is described in [10] ( impetus-striction ) which essentially converts the Lagrange multiplier for the constraint to a differential equation before solving the entire system with implicit midpoint this method also appears to be quite costly on a per-step basis. [Pg.355]

Iris type of constrained minimisation problem can be tackled using the method of Lagrange nultipliers. In this approach (see Section 1.10.5 for a brief introduction to Lagrange nultipliers) the derivative of the function to be minimised is added to the derivatives of he constraint(s) multiplied by a constant called a Lagrange multiplier. The sum is then et equal to zero. If the Lagrange multiplier for each of the orthonormality conditions is... [Pg.72]

Equation (3.40) is the DFT equivalent of the Schrbdinger equation. The subscript Vext indicates that this is under conditions of constant external potential (i.e. fixed nuclear po.-,ilions). It is interesting to note that the Lagrange multiplier, p, can be identified with (lu chemical potential of an electron cloud for its nuclei, which in turn is related to the... [Pg.147]

The constraint force can be introduced into Newton s equations as a Lagrange multipli (see Section 1.10.5). To achieve consistency with the usual Lagrangian notation, we wri F y as —A and so F Ar equals Am. Thus ... [Pg.387]

Ajt is the Lagrange multiplier and x represents one of the Cartesian coordinates two atoms. Applying Equation (7.58) to the above example, we would write dajdx = Xm and T y = Xdajdy = —X. If an atom is involved in a number of lints (because it is involved in more than one constrained bond) then the total lint force equals the sum of all such terms. The nature of the constraint for a bond in atoms i and j is ... [Pg.388]

Brezzi, F., 1974. On the existence, uniqueness and approximation of saddle point problems arising with Lagrange multipliers. RAIRO, Serie Rouge 8R-2, 129-151. [Pg.108]

These eonstraints ean be enforeed within the variational optimization of the energy flmetion mentioned above by introdueing a set of Lagrange multipliers 8ij, one for eaeh eonstraint eondition, and subsequently differentiating... [Pg.458]

Equality Constrained Problems—Lagrange Multipliers Form a scalar function, called the Lagrange func tion, by adding each of the equality constraints multiplied by an arbitrary iTuiltipher to the objective func tion. [Pg.484]

Lagrange multipliers are often referred to as shadow prices, adjoint variables, or dual variables, depending on the context. Suppose the variables are at an optimum point for the problem. Perturb the variables such that only constraint hj changes. We can write... [Pg.484]

Conditions in Eq. (3-86), called complementaiy slackness conditions, state that either the constraint gj(z) = 0 and/or its corresponding multipher is zero. If constraint gj(z) is zero, it is behaving hke an equality constraint, and its multiplier pi is exactly the same as a Lagrange multiplier for an equality constraint. If the constraint is... [Pg.484]

Once the objective and the constraints have been set, a mathematical model of the process can be subjected to a search strategy to find the optimum. Simple calculus is adequate for some problems, or Lagrange multipliers can be used for constrained extrema. When a Rill plant simulation can be made, various alternatives can be put through the computer. Such an operation is called jlowsheeting. A chapter is devoted to this topic by Edgar and Himmelblau Optimization of Chemical Processes, McGraw-HiU, 1988) where they list a number of commercially available software packages for this purpose, one of the first of which was Flowtran. [Pg.705]

Penalty functions with augmented Lagrangian method (an enhancement of the classical Lagrange multiplier method)... [Pg.745]

Here a denotes the set of constraints that directly involve r and the /( are the Lagrange multipliers introduced into the problem. [Pg.63]

There are various ways to obtain the solutions to this problem. The most straightforward method is to solve the full problem by first computing the Lagrange multipliers from the time-differentiated constraint equations and then using the values obtained to solve the equations of motion [7,8,37]. This method, however, is not computationally cheap because it requires a matrix inversion at every iteration. In practice, therefore, the problem is solved by a simple iterative scheme to satisfy the constraints. This scheme is called SHAKE [6,14] (see Section V.B). Note that the computational advantage has to be balanced against the additional work required to solve the constraint equations. This approach allows a modest increase in speed by a factor of 2 or 3 if all bonds are constrained. [Pg.63]

When the MFA is used in absence of the external field (J,- = 0) the Lagrange multipliers //, are assumed to give the actual density, p, known by construction. In presence of the field the MFA gives a correction Spi to the density p,. By using the linear response theory we can establish a hnear functional relation between J, and 8pi. The fields Pi r) can be expressed in term of a new field 8pi r) defined according to Pi r) = pi + 8pi + 8pi r). Now, we may perform a functional expansion of in terms of 8pi f). If this expansion is limited to a quadratic form in 8pj r) we get the following result [32]... [Pg.813]

The equations may be simplified by choosing a unitary transformation (Chapter 13) which makes the matrix of Lagrange multipliers diagonal, i.e. Ay 0 and A This special set of molecular orbitals (f> ) are called canonical MOs, and they transform eq. (3.40) mto a set of pseudo-eigenvalue equations. [Pg.63]

The Lagrange multipliers can be interpreted as MO energies, i.e. they expectation value of the Fock operator in the MO basis (multiply eq. (3.41) by the left and integrate). [Pg.63]

The canonical MOs are convenient for the physical interpretation of the Lagrange multipliers. Consider the energy of a system with one electron removed from orbital number Ic, and assume that the MOs are identical for the two systems (eq. (3.32)). [Pg.64]

So far there have not been any restrictions on the MOs used to build the determinantal trial wave function. The Slater determinant has been written in terms of spinorbitals, eq. (3.20), being products of a spatial orbital times a spin function (a or /3). If there are no restrictions on the form of the spatial orbitals, the trial function is an Unrestricted Hartree-Fock (UHF) wave function. The term Different Orbitals for Different Spins (DODS) is also sometimes used. If the interest is in systems with an even number of electrons and a singlet type of wave function (a closed shell system), the restriction that each spatial orbital should have two electrons, one with a and one with /3 spin, is normally made. Such wave functions are known as Restricted Hartree-Fock (RHF). Open-shell systems may also be described by restricted type wave functions, where the spatial part of the doubly occupied orbitals is forced to be the same this is known as Restricted Open-shell Hartree-Fock (ROHF). For open-shell species a UHF treatment leads to well-defined orbital energies, which may be interpreted as ionization potentials. Section 3.4. For an ROHF wave function it is not possible to chose a unitary transformation which makes the matrix of Lagrange multipliers in eq. (3.40) diagonal, and orbital energies from an ROHF wave function are consequently not uniquely defined, and cannot be equated to ionization potentials by a Koopman type argument. [Pg.70]


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Constrained optimization Lagrange multiplier method

Constraint Lagrange multipliers

Equality Lagrange multipliers

Global LaGrange multipliers

Hermitian-Lagrange multipliers

Kuhn-Tucker conditions Lagrange multipliers

Lagrange

Lagrange Multiplier Rule

Lagrange Multiplier Rule constraints

Lagrange Multiplier Rule controls

Lagrange Multiplier Rule functions

Lagrange Multiplier Theorem

Lagrange Multiplier and Objective Functional

Lagrange multiplier linear constraints

Lagrange multiplier method

Lagrange multiplier orbital energy

Lagrange multipliers Subject

Lagrange multipliers constrained

Lagrange multipliers energy surfaces

Lagrange multipliers enforcing

Lagrange multipliers enforcing constraints

Lagrange multipliers existence

Lagrange multipliers functional

Lagrange multipliers interpretation

Lagrange multipliers linear

Lagrange multipliers molecular structure

Lagrange multipliers nonlinear

Lagrange multipliers, applications

Lagrange undetermined multiplier technique

Lagrange undetermined multipliers

Lagrange undetermined multipliers maximization

Lagrange undetermined multipliers method

Lagrange’s method of undetermined multipliers

Lagrange’s multipliers

Local LaGrange multiplier

Multipliers

Multiply

Multiplying

The Lagrange Multiplier Method

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