Vector file

Another approach is to write a test bench a test bench is a model written in Verilog HDL that applies stimulus, compares the output responses, and reports any functional mismatches. Figure 5-3 shows such a scenario. A test bench for a full-adder is shown next. The stimulus is read from a vector file Inputs.vec its contents are of the form ... 

Do the formatted vector files require a specific naming convention ... 

The angles ot, p, and x relate to the orientation of the dipole nionient vectors. The geonieti y of interaction between two bonds is given in Fig. 4-16, where r is the distance between the centers of the bonds. It is noteworthy that only the bond moments need be read in for the calculation because all geometr ic features (angles, etc.) can be calculated from the atomic coordinates. A default value of 1.0 for dielectric constant of the medium would normally be expected for calculating str uctures of isolated molecules in a vacuum, but the actual default value has been increased 1.5 to account for some intramolecular dipole moment interaction. A dielectric constant other than the default value can be entered for calculations in which the presence of solvent molecules is assumed, but it is not a simple matter to know what the effective dipole moment of the solvent molecules actually is in the immediate vicinity of the solute molecule. It is probably wrong to assume that the effective dipole moment is the same as it is in the bulk pure solvent. The molecular dipole moment (File 4-3) is the vector sum of the individual dipole moments within the molecule. 

The molecular structures were rendered with good-quality shading on a blue background. Isosurfaces produced from cube files or checkpoint files also looked nice. Molecular vibrations can be animated on screen and vibrational displacement vectors displayed. The vibrational line spectrum may be displayed too, but the user has no control over the axes. There is no way to set the background color. The display can be saved using several image file formats. 

Example 50 Overall, using vectors 3 in the two data files TABLET C.dat... 

Data file FILLTUBE.xls.dat contains a set of 20 in-process controls (IPC) of n = 50 simulated weighings each. The first 10 vectors are for EU conditions (/i = 20.02 g), the others for Swiss regulations (/r = 20.35 g) a = 0.75 g. The default settings can be changed. Pressing [F9] initiates a new simulation. The results can be captured and incorporated into a. dat file, see program DATA, option (Import Data from Excel). For one specific simulation, the results were as follows. 

The point that needs to be made is that with sample size as small as it is here (n = 10), the distribution can strongly vary in appearance from one sample to the next, much more so than with n - 100 as in Fig. 1.10 for example, vectors C 46 (column 1) and C 55 (column 20) of file TABLET C.dat are the extremes, with standard deviations of 2.88 and 1.21. The corresponding Huber s k-values for the largest residual in each vector are 6.56 (this looks very much like an outlier, kc = 3.5) and 2.11 (far from being an outlier). The biggest k-value is found for vector C 49 (column 8) at 7.49 Fig. 4.25 shows the results for this vector as they are presented by program HUBER. 

Figure 4.28. Correlation graph for file PROFILE.dat. The facts that (a) 23 out of 55 combinations yield probabilities of error below p = 0.04 (42% expected due to chance alone =8%) and (b) that they fall into a clear pattern makes it highly probable that the peak areas [%] of the corresponding chromatograms follow a hidden set of rules. This is borne out by plotting the vectors two by two. Because a single-sided test is used, p cannot exceed 0.5.

Open File) gives access to the standard file-selection window and then branches to (Choose Vector). 

Figure 5.4. The presentation of the values contained in a data file. A program and file names B size of file C instructions on how to proceed D currently active rounding option E. abscissa vector F ordinate vector.

The supplimentary information comprises the file name and the vector number(s), and important results, but not the data table as such. 

Select the abscissa and ordinate vectors for the first, then those for the second data set (the two sets can actually be located in separate files) the two data sets need not have the same size. 

Choose New Vectors in File) allows to select new data sets in the open file. 

The eigenvalue problem can be described in matrix language as follows. Given a matrix ff, determine the scalar quantities X and the nonzero vectors U which satisfy simultaneously file equation... 

The definition of file principal axes labeled a, b, c is usually dictated by the symmetry properties of the molecule (see Section 8.5). Then, the angular velocity can be represented by the vector... 

The entry for each species (in file order listed) of file formula vector formed by file subscripts to the elements (in file order listed) ... 

This function is called numerous times from the Matlab ODE solver. In the example it is the ode45 which is the standard Runge-Kutta algorithm. ode45 requires as parameters the file name of the inner function, ode autocat. m, the vector of initial concentrations, cO, the rate constants, k, and the total amount of time for which the reaction should be modelled (20 time units in the example). The solver returns the vector t at which the concentrations were calculated and the concentrations themselves, the matrix C. Note that due to the adaptive step size control, the concentrations are computed at times t which are not predefined. 

Worked examples are, where possible, included. If worked examples are not available it may be desirable to give prophetic or dummy examples which, although they have not been worked, describe how to carry out a particular aspect of the invention. The patent apphcation must give a sufficient disclosure of how to carry out the invention without undue burden (the sufficiency or enablemenf requirement). In the USA it is essential to describe the best way of carrying out the invention known to the inventors when the application is filed (the best mode requirement). For inventions using certain biological material (such as host cells, vectors, hybridomas, bacteria and the like) it may be necessary to make a special deposit of the material in order to fulfil the sufficiency requirement. 

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