Pseudo-code

This advances the coordinates and momenta over a small time step 8 t. A piece of pseudo-code illustrates how this works ... 

This actually translates into a fairly simple algorithm, based closely on the standard velocity Verlet method. Written in a Fortran-like pseudo-code, it is as follows. At tire start of the run we calculate both rapidly-varying (1) and slowly-varying (F) forces, then, in the main loop ... 

A very pedagogical, highly readable introduction to quasi-Newton optimization methods. It includes a modular system of algoritlnns in pseudo-code which should be easy to translate to popular progrannning languages like C or Fortran. 

Pseudo-Code Implementation of Perceptron Learning Algorithm ... 

Pseudo-Code Implementation The algorithm summarizing the operation of the Hop>-field net is given below in pseudo-code. 

Pseudo-Code Implementation The Boltzman Machine Learning Algorithm proceeds in two phases (1) a positive, or learning, ph2 se and (2) a negative, or unlearning, phtise. It is summarized below in pseudo-code. It is assumed that the visible neurons are further subdivided into input and output sets as shown schematically in figure 10.8. 

Pseudo-Code Implementation The Back-propagation algorithm outlined above may be implemented by following seven steps, to be applied for each pattern p . Assume we have a neural net with L layers (/ 1,2,...,L). Let h represent the output of the neuron in the / layer hf is therefore equal to the input, <7 . The weight of the connection between li- and h[ will be labeled by Wij. 

In this case, rather than keeping separate data areas for each call to the procedure, we must create a data structure that can be shared by all occurrences. FORTRAN S COMMON can be used for this purpose. To implement the list in our example, make the following changes to the pseudo-code in the appendix ... 

A computer program to generate S(B) in pseudo-code would be something along the following lines... 

Suppose we want to compare two spectra—let s call them spectrum-a and spectrum-P—taken over field sweeps that may be identical but with a slight difference in their micro-wave frequency. The spectra are digital arrays corresponding to amplitudes at equidistant field values. The procedure to convert spectrum P taken at frequency vp to frequency va of reference spectrum a is as follows For each field value B of spectrum-a we calculate the corresponding field for vp /ip = (vp/va)5a, and then we search in spectrum-p to the two digital field values that nearly match (that embrace ) the value /ip in order to interpolate the two corresponding amplitudes to an intermediate amplitude value for flp to be stored in a new array of P-amplitudes onto a B(J grid. In pseudo-code... 

Below, a pseudo-code is presented to perform a simplex optimisation (using the original algorithm). 

A pseudo-code is presented below to perform a modified simplex optimisation. 

Given the above considerations, we further propose an enhancement to the dynamic SDR with shifting scheme by allocating different blocks in the key tree for new members and shifted members. Fig. 7 presents the pseudo-code for determining member s position in the key tree. In the enhanced scheme, the positions in the key tree are divided into blocks, each of which has size B = 2k and boundaries at positions that are multiples of B. The positions within each block are either for shifted members only or for newly joined members only. Furthermore, the GCKS always attaches a member to the next available position within the block that corresponds to the status of the member (shifted or newly arrived). When all positions in one... 

Further shrinkage of the search space to Ll ew curl excludes the possibility of a direct move from C to E in one step while the probability for a move to E in a second step remains the same as before, i.e., 2 4 x 1/4 = 0.125. Note that a shrink process is suppose to be preceded by an expand mode but this aspect was not demonstrated in this brief discussion. See Appendix B for the pseudo-code listing of the GSAMS algorithm. 

Pseudo-code for threshold acceptance (TA) for minimization of a generic function (x)... 

Extensions of user interfaces mainly concern the implementation of different representations to visualize and to edit the static (service description) and the dynamic (service composition) aspects of the specifications. For example, to model service compositions several alternatives are possible (i) sequence diagrams, (ii) collaboration diagrams, or (iii) a textual notation in some kind of pseudo code. Which of them is the most appropriate alternative can only be determined through experiences using the prototype. The alternative views have to be implemented manually in JAVA and embedded into the UPGRADE framework as well. 

The following pseudo-code illustrates how the spherical angles can be computed from the vector y = V12 ... 

PSD (Prevention of Significant Deterioration) standards, 592 PSDA cycle, 1811 Pseudo-code, 100 Pseudonymity, 268 Pseudonyms, 269... 

Anyway, when a scheduled flow cannot be realized as intended, it is postponed to the next period. Hence, stochastic influences typically lead to a postponement of transport activities. In the next re-planning period all flovi schedules are reset to the new optimal solution such that formerly postponed flows are integrated in the new schedule. Table f.l shows the detailed pseudo-code of the implemented simulation model. 

Table 4.7 Pseudo-code for chemical SC simulation model...

Figure 2 shows the pseudo-code for decomposed traversal. It is derived from the standard traversal of Figure 1. 

Figure 3 reports the pseudo-code of the Centrally Controlled Approach. 

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