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Algorithm, definition

Edwards, D. P. (1997) High Level algorithm definition document of the MIPAS Reference Forward Model, ESA Report PO-TN-OXF-GS-0004. [Pg.347]

The third drawback is that it is difficult with this algorithmic definition to compare with other kinetic theories. Of course, it is possible to compare results, but an analysis of discrepancies in the results is not possible as a common ground (e.g., the master equation in our approach) is missing. The generic form of the algorithm described above resembles the algorithm of RSM. Indeed one may look upon RSM as a method in which the drawbacks of the algorithmic approach have been removed. [Pg.758]

Another set of structure features is given by an algorithmic definition of a functional group. This is essentially any connected subset of atoms which does not contain a carbon-carbon single bond or a carbon-carbon ring alternating bond. [Pg.587]

One cannot speak of a correct signature here in the algorithmic definition, because no connection to an original skjemp is given. [Pg.158]

The reaction coordinate is calculated in a number of steps. If too few steps are used, then the points that are computed will follow the reaction coordinate less closely. Usually, the default number of points computed by software packages will give reasonable results. More points may be required for complex mechanisms. This algorithm is sometimes called the IRC algorithm, thus creating confusion over the definition of IRC. [Pg.159]

The mathematical definition of the Born-Oppenheimer approximation implies following adiabatic surfaces. However, software algorithms using this approximation do not necessarily do so. The approximation does not reflect physical reality when the molecule undergoes nonradiative transitions or two... [Pg.174]

No single method or algorithm of optimization exists that can be apphed efficiently to all problems. The method chosen for any particular case will depend primarily on (I) the character of the objective function, (2) the nature of the constraints, and (3) the number of independent and dependent variables. Table 8-6 summarizes the six general steps for the analysis and solution of optimization problems (Edgar and Himmelblau, Optimization of Chemical Processes, McGraw-HiU, New York, 1988). You do not have to follow the cited order exac tly, but vou should cover all of the steps eventually. Shortcuts in the procedure are allowable, and the easy steps can be performed first. Steps I, 2, and 3 deal with the mathematical definition of the problem ideutificatiou of variables and specification of the objective function and statement of the constraints. If the process to be optimized is very complex, it may be necessaiy to reformulate the problem so that it can be solved with reasonable effort. Later in this section, we discuss the development of mathematical models for the process and the objec tive function (the economic model). [Pg.742]

All the early work was concerned with atoms, with Sir William Hartree regarded as the father of the technique. His son, Douglas R. Hartree, published the definitive book, The Calculation of Atomic Structures, in 1957, and in this he derived the atomic HF equations and described numerical algorithms for their solution. Charlotte Froese Fischer was a research student working under the guidance of D. R. Hartree, and she published her own definitive book. The Hartree—Fock Method for Atoms A Numerical Approach in 1977. The Appendix lists a number of freely available atomie structure programs. Most of these can be obtained from the Computer Physics Communications Program Library. [Pg.113]

Now we are ready to formulate the basic idea of the correction algorithm in order to correct the four-indexed operator f1, it is enough to correct the two-indexed operators fc and f 1 in the supermatrix representation (7.100). The real advantage of this proposal is its compatibility with any definite way of f2 and P7 correction [61, 294], The matrix inversion demanded in (7.99) is divided into two stages. In the fi, v subspace it is possible to find the inverse matrix analytically with the help of the Frobenius formula that is well known in matrix algebra [295]. The... [Pg.256]

In connection with the preceding algorithm, it is natural to raise the question of correctness and stability providing a possibility of applying the method and obtaining a solution with a prescribed accuracy. Special investigations give definite answers to to these questions. [Pg.11]

We can now revise Algorithm 1 with the definition of the error threshold. [Pg.182]

The preceding definitions allow us to explicitly characterize a branch-and-bound algorithm by... [Pg.284]

Let us briefly discuss the theoretical results providing the basis for the improved efficiency of branch-and-bound algorithms. Let F = [x g(.x) lower-bound test. Then, the set L, defined by L =Fr X%, contains all the partial solutions, which can be terminated only by an equivalence relation. Recall that, by definition, no node in X% can be terminated by a dominance rule. [Pg.286]


See other pages where Algorithm, definition is mentioned: [Pg.44]    [Pg.98]    [Pg.667]    [Pg.240]    [Pg.7]    [Pg.75]    [Pg.222]    [Pg.44]    [Pg.98]    [Pg.667]    [Pg.240]    [Pg.7]    [Pg.75]    [Pg.222]    [Pg.40]    [Pg.40]    [Pg.351]    [Pg.54]    [Pg.670]    [Pg.732]    [Pg.205]    [Pg.13]    [Pg.60]    [Pg.120]    [Pg.122]    [Pg.85]    [Pg.686]    [Pg.454]    [Pg.87]    [Pg.43]    [Pg.348]    [Pg.193]    [Pg.309]    [Pg.309]    [Pg.310]    [Pg.101]    [Pg.105]    [Pg.173]    [Pg.45]   
See also in sourсe #XX -- [ Pg.386 , Pg.387 ]




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