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Ordinary program

Now we have defined the syntax of our model - how a scheme is formally put together - we must define the semantics - how a function is computed under an interpretation. Interpretations are defined as for ordinary program schemes or for recursion schemes - the defined functions are not interpreted. [Pg.253]

The proof consists in showing that if leaf test U,p,T) could be done by just adding pushdown stores of the type described in this section, then it could be done by an ordinary program scheme without augmentations, but that is impossible. [Pg.281]

The tools available in ordinary programming languages for scientific numerical work are simply not adequate to enable satisfactory documentation ( comments ) to be included in the code. Fbr example, the standard ASCII character set is simply not capable of describing the jobs which mathematical software do. Compare C Compute F sub nu (x) =... [Pg.523]

We can pick the initial random variables for the classical coordinates and momenta in the way it is done in an ordinary classical trajectory program. [Pg.75]

The projection on the final channel is done in the following manner. We let the trajectory decide on the channel—just as in an ordinary classical trajectory program. Once the channel is detemrined we project the wave function (in the DVR representation) on the appropriate wave function for that channel... [Pg.75]

C. W. Gear, Numerical Initial Value Problems in Ordinary Differential Equations, Prentice-HaU, Englewood Cliffs, NJ, 1971 Gear Algorithm, QCPE Program No. QCMP022. [Pg.594]

The text form for parameters uses white space or commas to separate the fields (columns) of the parameter tiles. They can be read by ordinary text editors, w ord processors, etc. In the text form, param eters are easy to m odify but not easy to com pare, stn dy, etc. Many database program s are capable of reading column s of text as a database, h owever. Wh ile spreadsheets are n ot. per se, databases, they can be useful for examining parameter sets. Microsoft Excel, for example, can read the text form of a param eter file and pn t the data in a form easily manipulated as a matrix or a database. The text form of parameters are stored, by default only, in Tart files. [Pg.197]

Jons. Amelin [Theory of Fog Condensation, Israel Program for Scientific Translations, Jerusalem, (1967)] reports that ordinary air contains even higher concentrations of ions. These ions also reduce the required critical supersaturation, but by only about 10 to 20 percent, unless multiple charges are present. [Pg.1414]

For atoms, it has been possible during the last few years to program the calculations in the ordinary HF scheme for some electronic computers, and, as soon as one has obtained enough experience in this connection, there will probably be no difficulties in doing the same also for the extended HF scheme sketched in this section. For molecules and crystals, on the other hand, one has probably to be satisfied with comparatively rough approximations for a long time. [Pg.310]

The treatment in this chapter has been theoretical. For a brief, dear, and very practical description of computational details for a number of standard problems, [10] is unsurpassed, and [12] can be recommended for programming techniques for automatic computers. For information on ordinary differential equations, the reader should consult [2], and for partial differential equations, [1]. For general methods of reduction to algebraic form as well as methods of solution, see [5], [7], and [8]. [Pg.97]

In this chapter we described Euler s method for solving sets of ordinary differential equations. The method is extremely simple from a conceptual and programming viewpoint. It is computationally inefficient in the sense that a great many arithmetic operations are necessary to produce accurate solutions. More efficient techniques should be used when the same set of equations is to be solved many times, as in optimization studies. One such technique, fourth-order Runge-Kutta, has proved very popular and can be generally recommended for all but very stiff sets of first-order ordinary differential equations. The set of equations to be solved is... [Pg.77]

A Galerkin finite element (FE) program simultaneously solved the heat transfer PDE plus the material balance ordinary differential equation (Equation 9) (ODE). Typically, 400 equally spaced nodes were used to discretize half the cross-section. The program solved for the temperature and epoxide consumption at each node. [Pg.261]

Figure 8 depicts our view of an ideal structure for an applications program. The boxes with the heavy borders represent those functions that are problem specific, while the light-border boxes represent those functions that can be relegated to problem-independent software. This structure is well-suited to problems that are mathematically either systems of nonlinear algebraic equations, ordinary differential equation initial or boundary value problems, or parabolic partial differential equations. In these cases the problem-independent mathematical software is usually written in the form of a subroutine that in turn calls a user-supplied subroutine to define the system of equations. Of course, the user must write the subroutine that defines his particular system of equations. However, that subroutine should be able to make calls to problem-independent software to return many of the components that are needed to assemble the governing equations. Specifically, such software could be called to return in-... [Pg.346]

The basic SFC system comprises a mobile phase delivery system, an injector (as in HPLC), oven, restrictor, detector and a control/data system. In SFC the mobile phase is supplied to the LC pump where the pressure of the fluid is raised above the critical pressure. Pressure control is the primary variable in SFC. In SFC temperature is also important, but more as a supplementary parameter to pressure programming. Samples are introduced into the fluid stream via an LC injection valve and separated on a column placed in a GC oven thermostatted above the critical temperature of the mobile phase. A postcolumn restrictor ensures that the fluid is maintained above its critical pressure throughout the separation process. Detectors positioned either before or after the postcolumn restrictor monitor analytes eluting from the column. The key feature differentiating SFC from conventional techniques is the use of the significantly elevated pressure at the column outlet. This allows not only to use mobile phases that are either impossible or impractical under conventional LC and GC conditions but also to use more ordinary... [Pg.206]

The book explains how to solve coupled systems of ordinary differential equations of the kind that commonly arise in the quantitative description of the evolution of environmental properties. All of the computations that I shall describe can be performed on a personal computer, and all of the programs can be written in such familiar languages as BASIC, PASCAL, or FORTRAN. My goal is to teach the methods of computational simulation of environmental change, and so I do not favor the use of professionally developed black-box programs. [Pg.4]

Wasn t the conquest of one nation by another international robbery If a country, through its leaders, embarked on a program to take from the peoples of neighboring countries their land, their property, or their personal freedoms, why shouldn t the ordinary... [Pg.113]

Chemotherapy used to treat cancer is toxic by almost anyone s standards. How would it affect someone like Peggy, who experiences life-threatening reactions to even low-level chemical exposures There are no answers. Peggy believes chemotherapy or surgery could be fatal for her, because her lungs burn and airways can close even from exposure to fragrances and other ordinary products. She has chosen to treat her cancer with a non-chemical, non-invasive alternative program, and her trust in God. [Pg.158]


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