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Representative Computer Programs

Representative computer programs for evaluation of the integral are given m App. D. For added flexibility the programs also evaluate the dimensionless quantity Cp /R as given... [Pg.122]

Smce dtis integral must often be evaluated, we mclude m App. D representative computer programs for its evaluation. For computational purposes tlie ri it side of Eq. (5,15) is defined as the fimction, ICPS(TO,T A,B,C,D), Equation (5.15) then becomes ... [Pg.160]

Given the estimate of the reactor effluent in Example 4.2 for fraction of methane in the purge of 0.4, calculate the.actual separation in the phase split assuming a temperature in the phase separator of 40°C. Phase equilibrium for this mixture can be represented by the Soave-Redlich-Kwong equation of state. Many computer programs are available commercially to carry out such calculations. [Pg.113]

Mixed-integer programming contains integer variables with the values of either 0 or 1. These variables represent a stmcture or substmcture. A special constraint about the stmctures states that of a set of (stmcture) integer variables only one of them can have a value of 1 expressed in a statement the sum of the values of (alternate) variables is equal to 1. In this manner, the arbitrary relations between stmctures can be expressed mathematically and then the optimal solution is found with the help of a computer program. (52). [Pg.81]

The relative merits of various MO methods have been discussed in die literature. In general, the ab initio type of calculations will be more reliable, but the semiempirical calculations are faster in terms of computer time. The complexity of calculation also increases rapidly as the number of atoms in the molecule increases. The choice of a method is normally made on the basis of evidence that the method is adequate for the problem at hand and the availability of appropriate computer programs and equipment. Results should be subjected to critical evaluation by comparison widi experimental data or checked by representative calculations using higher-level mediods. Table 1.12 lists some reported deviations from experimental AHf for some small hydrocarbons. The extent of deviation gives an indication of the accuracy of the various types of MO calculations in this application. [Pg.28]

Equations 5-261, 5-262, and 5-263 are incorporated as functions in the computer program CFSTR51. They are represented hy... [Pg.347]

Exercise 3.3. Write a computer program for N dipoles (represented by pairs of bonded atoms 0.9 A apart with charges of +0.4 and —0.4 au). Use the potential... [Pg.80]

Planned tools/methodologies Computer programs to simulate the evolution of the water resources and the water quality and interviews with experts to represent/quantify relationships. [Pg.139]

Program segments and occasional variables within the text are set in a fixed-width font to indicate that they represent computer code. [Pg.621]

In computer programs that are now devoted to these problems the interpolation and smoothing of data are special cases of convolution of the data with a set of numerical coefficients, represented for the present by the vector A)data points are entered as a vector y ( /), the convolution can be written in the form... [Pg.172]

The MDOF app-roach will require the use of a computer program to perform the structural dynamic analyses due to the extensive computations. Frame analysis type programs using beam elements may be used if the structural configuration lends itself to this type of modeling. Use of general purpose finite element analysis programs may be necessary in order to accurately represent the structure with the appropriate... [Pg.181]

GF method calculations are simplified by the systematic behavior of the G matrix elements (Decius 1948). MUBFF calculations, however, are somewhat complicated by the force constants representing interactions between non-bonded atoms— these can be tedious to express in terms of internal coordinates. Computer programs have been written to partially automate calculations, thereby reducing the necessary effort and minimizing opportunities for errors (e.g., Schachtschneider 1964 Gale and Rohl 2003). [Pg.83]


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Computer programming

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