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Difference formulae. Differentiation

Formulae of difference differentiation by parts of the product and sum. The formula for differentiating the product of two real functions u x) and (2 )... [Pg.29]

Some difference formulae. In the sequel, when dealing with various difference expressions, we shall need the formulae for difference differentiating of a product, for summation by parts and difference Green s formulae. In this section we derive these formulae within the framework similar to the appropriate apparatus of the differential calculus. Similar expressions were obtained in Section 2 of Chapter 1 in studying second-order difference operators, but there other notations have been used. It performs no difficulty to establish a relationship between formulae from Section 2 of Chapter 1 and those of the present section. [Pg.98]

In Section 1 we have already introduced two types of difference derivatives for grid functions the left and the right ones, which correspond to different formulae for difference differentiating of a product... [Pg.98]

Deactivating catalyst 319 Dead zones 159, 162, 163 Degree of segregation 471 Density influences 492 Desorption of solute 578, 579 Difference differential equation 579 Difference formulae for partial differential equations 268 Differential column 167... [Pg.693]

A production batch of an outsole compound was divided into four equal portions. The only formula difference between each portion was the amount of sulfur and <0.15% pigment for differentiation and tracking. The standard amount of sulfur, based on the current formulation, was designated as 100%. The other three portions had the following amounts 70%, 85% and 115% of the standard amount. Whenever % sulfur is referred to, it is always relative to the standard. [Pg.84]

ODElSs Gear backward difference formulas for differential equations and differential and algebraic equations. Multistep method. [Pg.98]

At first we tried to explain the phenomenon on the base of the existence of the difference between the saturated vapor pressures above two menisci in dead-end capillary [12]. It results in the evaporation of a liquid from the meniscus of smaller curvature ( classical capillary imbibition) and the condensation of its vapor upon the meniscus of larger curvature originally existed due to capillary condensation. We worked out the mathematical description of both gas-vapor diffusion and evaporation-condensation processes in cone s channel. Solving the system of differential equations for evaporation-condensation processes, we ve derived the formula for the dependence of top s (or inner) liquid column growth on time. But the calculated curves for the kinetics of inner column s length are 1-2 orders of magnitude smaller than the experimental ones [12]. [Pg.616]

Xhe simplification is even more dramatic for a two-electron integral, which can involve GTOs on four different centres. Formulae for integrals involving Cartesian GTOs of p, d,. .. types can be deduced from those involving s orbitals by simple differentiation. Here is the famous synopsis. [Pg.163]

Remark Quite often, the Dirichlet problem is approximated by the method based on the difference approximation at the near-boundary nodes of the Laplace operator on an irregular pattern, with the use of formulae (14) instead of (16) at the nodes x G However, in some cases the difference operator so constructed does not possess several important properties intrinsic to the initial differential equation, namely, the self-adjointness and the property of having fixed sign, For this reason iterative methods are of little use in studying grid equations and will be excluded from further consideration. [Pg.255]

The partial differential equations describing the catalyst particle are discretized with central finite difference formulae with respect to the spatial coordinate [50]. Typically, around 10-20 discretization points are enough for the particle. The ordinary differential equations (ODEs) created are solved with respect to time together with the ODEs of the bulk phase. Since the system is stiff, the computer code of Hindmarsh [51] is used as the ODE solver. In general, the simulations progressed without numerical problems. The final values of the rate constants, along with their temperature dependencies, can be obtained with nonlinear regression analysis. The differential equations were solved in situ with the backward... [Pg.172]

The best packages for stiff equations (see below) use Gear s backward difference formulas. The formulas of various orders are [Gear, G. W., Numerical Initial Value Problems in Ordinary Differential Equations, Prentice-Hall, Englewood Cliffs, N.J. (1971)]... [Pg.50]

The major limitation of high resolution accurate mass profiling is its inability to differentiate isomeric species with the same empirical formula. An example of isomers would be glucose (C6Hi206) and galactose (C6Hi206). In GC/MS and LC/MS methods, the isomers generally have different elution times that allow for... [Pg.49]


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