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Equation Newton

In these methods, also known as quasi-Newton methods, the approximate Hessian is improved (updated) based on the results in previous steps. For the exact Hessian and a quadratic surface, the quasi-Newton equation and its analogue = Aq must hold (where - g " and... [Pg.2336]

Then one can apply Newtons method to the necessaiy conditions for optimahty, which are a set of simultaneous (non)linear equations. The Newton equations one would write are... [Pg.486]

The basic principles are described in many textbooks [24, 26]. They are thus only sketchily presented here. In a conventional classical molecular dynamics calculation, a system of particles is placed within a cell of fixed volume, most frequently cubic in size. A set of velocities is also assigned, usually drawn from a Maxwell-Boltzmann distribution appropriate to the temperature of interest and selected in a way so as to make the net linear momentum zero. The subsequent trajectories of the particles are then calculated using the Newton equations of motion. Employing the finite difference method, this set of differential equations is transformed into a set of algebraic equations, which are solved by computer. The particles are assumed to interact through some prescribed force law. The dispersion, dipole-dipole, and polarization forces are typically included whenever possible, they are taken from the literature. [Pg.271]

MD calculations integrate Newton equations of motion forward in time, so that the dynamical behaviour of the system can be predicted. The calculations... [Pg.692]

Finite Difference Newton. Equation (5.8) for this example is... [Pg.165]

This variation on Newton s method usually requires more iterations than the pure version, but it takes much less work per iteration, especially when there are two or more basic variables. In the multivariable case the matrix Vg(x) (called the basis matrix, as in linear programming) replaces dg/dx in the Newton equation (8.85), and g(Xo) is the vector of active constraint values at x0. [Pg.314]

The strategy in a molecular dynamics simulation is conceptually fairly simple. The first step is to consider a set of molecules. Then it is necessary to choose initial positions of all atoms, such that they do not physically overlap, and that all bonds between the atoms have a reasonable length. Subsequently, it is necessary to specify the initial velocities of all the atoms. The velocities must preferably be consistent with the temperature in the system. Finally, and most importantly, it is necessary to define the force-field parameters. In effect the force field defines the potential energy of each atom. This value is a complicated sum of many contributions that can be computed when the distances of a given atom to all other atoms in the system are known. In the simulation, the spatial evolution as well as the velocity evolution of all molecules is found by solving the classical Newton equations of mechanics. The basic outcome of the simulation comprises the coordinates and velocities of all atoms as a function of the time. Thus, structural information, such as lipid conformations or membrane thickness, is readily available. Thermodynamic information is more expensive to obtain, but in principle this can be extracted from a long simulation trajectory. [Pg.33]

The Vlasov-Newton equation of motion of/is the closed equation ... [Pg.156]

The Vlasov-Newton equation has many steady solutions describing a self-gravitating cluster. This is easy to show in the spherically symmetric case (the situation we shall restrict in this work, except for a few remarks at the end of this section). If one assumes a given r(r) in the steady state, the general steady solution of Eq. (4) is a somewhat arbitrary function of the constants of the motion of a single mass in this given external held, namely a funchon/(E, I ) where niE is the total energy of a star in a potenhal (r) such that r(r) = —(r/r) [d r)/dr] and where — (r.v) is the square of the... [Pg.157]

Suppose Eq. (6) has a solution with the given asymptotic conditions, which holds true in a wide range of cases [2] then one associates to a given/( ) a solution of the steady state of the Vlasov-Newton equation. There are various restrictions on possible functions/( ) It must be positive or zero and such that the total mass is finite. Of course, as we said, this is not enough to tell what function f E) is to be chosen. Moreover, knowing l>(r), it is possible in principle to find the function/(E) from Eq. (6) by writing the left-hand side as a function of <1) (instead of r). Then there remains to invert an Abel transform to get back/(E). We shall comment now on the impossibility of applying the usual methods of equilibrium statistical mechanics to the present problem (that is, the determination of f E) from a principle of maximization of entropy for instance). [Pg.158]

At the most fundamental level one follows the time development of the system in detail. The reactants are started in a specific initial (quantum) state and the equation of motion are propagated to give the final state. The equation of motion of the system is the time dependent Schroinger equation, or, if the atoms involved are heavy enough (not H or Li) Newtons equation. The starting point is the adiabatic potential energy surface on which the process takes place. For some reactions electronic excitations during the reaction are important and must be included in addition to the electronically adiabatic dynamics. [Pg.83]

Once p has been determined we calculate the step from the modified Newton equations Eq. (3.24). Therefore, the RF and RSO steps Eire calculated in the same way. The only difference is the prescription for determining the level shift. In the RSO approach p reflects the trust radius h, in the RF model p reflects the metric S. By varying h and S freely the same steps are obtained in the two models. [Pg.306]

Electrokinetic phenomena can be understood with the help of two equations The known Poisson equation and the Navier3-Stokes4 equation. The Navier-Stokes equation describes the movement of a Newtonian liquid, i.e., a liquid whose viscosity does not change when it flows and when it is sheared. In order to make the equation plausible we consider an infinitesimal quantity of the liquid having a volume dV = dx dy dz and a mass dm. If we want to write Newtons equation of motion for this volume element we have to consider three forces ... [Pg.72]

Then, the steady-state solution of the Newton equation for the electron in the electron gas under the influence of an external electric field is given by... [Pg.18]

In the latter method we simply specify the initial conditions of the system, the coordinates of the atoms of the biomolecule in its initial conformation, as well as those of the water molecules constituting its environment, along with a set of initial velocities for these atoms. Having specified the initial conditions, Newtons equation of motion... [Pg.184]

A MD simulation, on the other hand, is based on the following Newton equations of motion ... [Pg.64]

Alternatively, such a Newton direction pfc satisfies the linear system of n simultaneous equations, known as the Newton equation ... [Pg.36]

Truncated Newton methods were introduced in the early 1980s111-114 and have been gaining popularity ever since.82-109 110 115-123 Their basis is the following simple observation. An exact solution of the Newton equation at every step is unnecessary and computationally wasteful in the framework of a basic descent method. That is, an exact Newton search direction is unwarranted when the objective function is not well approximated by a convex quadratic and/or the initial point is distant from a solution. Any descent direction will suffice in that case. As a solution to the minimization problem is approached, the quadratic approximation may become more accurate, and more effort in solution of the Newton equation may be warranted. [Pg.43]


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See also in sourсe #XX -- [ Pg.51 , Pg.56 ]

See also in sourсe #XX -- [ Pg.42 ]




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Algebraic equations Newton algorithm

Constitutive equation Newton

Equation. Conditional Newton

Equations and Newtons Laws of Motion

Gauss-Newton Method for Partial Differential Equation (PDE) Models

Mathematical modeling Newton equation

Newton equation of motion

Newton equations, molecular modelling

Newton s equation

Newton-Euler equation

Newton-Raphson equations

Newton-type iteration around stationary flame equations

Newtons Method for Simultaneous Nonlinear Equations

Newtons equations for the pendulum in Cartesian coordinates

Newtons method for a single equation

Newtons method for multiple nonlinear equations

Newton’s equations of motion

Newton’s law of viscosity, equation

Nonlinear algebraic equations Newton algorithm

Nonlinear equations Newton-Raphson iteration

Quasi-Newton equation

Settling rate Newton’s equation

Solving linear equations (Newtons method)

Stiff equations Newton iteration

System of implicit non-linear equations the Newton-Raphson method

The Newton Equation

Young-Laplace equation from Newton mechanics

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