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Target state

Numerical solution of this set of close-coupled equations is feasible only for a limited number of close target states. For each N, several sets of independent solutions F.. of the resulting close-coupled equations are detennined subject to F.. = 0 at r = 0 and to the reactance A-matrix asymptotic boundary conditions,... [Pg.2049]

Should any discrete device not remain in its target state, failure logic must be initiated. [Pg.754]

Supports the Early Detection of Abnormal Process States Although some diagnostic information is available in the activated alarms, the workers still need to know the size of any deviations from the target states and require a concise picture of those critical parameters which are in alarm and those which are nearing it. This information is available on the overview display and facilitates the early detection of process deviations. [Pg.335]

Electron correlations show up in two ways in the measured cross sections. If the initial target state is well described by the independent particle Hartree-Fock approximation, the experimental orbital (6) is the Hartree-Fock orbital. Correlations in the ion can then lead to many transitions for ionisation from this orbital, rather than the expected single transition, the intensities of the lines being proportional to the spectroscopic factors S K... [Pg.207]

More generally, we can consider the Hamiltonian as a function of some parameter, A. Without loss of generality, we can choose 0 < A < 1, such that A = 0 and A = 1 for the reference and target states, respectively. A simple choice for the dependence of the Hamiltonian on A is a linear function... [Pg.47]

Fig. 2.4. Schematic representation of the different relationships between the important regions in phase space for the reference (0) and the target (1) systems, and their possible interpretation in terms of probability distributions - it should be clarified that because AU can be distributed in a number of different ways, there is no obvious one-to-one relation between P0(AU), or Pi (AU), and the actual level of overlap of the ensembles [14]. (a) The two important regions do not overlap, (b) The important region of the target system is a subset of the important region of the reference system, (c) The important region of the reference system overlaps with only a part of the important region of the target state. Then enhanced sampling techniques of stratification or importance sampling that require the introduction of an intermediate ensemble should be employed (d)... Fig. 2.4. Schematic representation of the different relationships between the important regions in phase space for the reference (0) and the target (1) systems, and their possible interpretation in terms of probability distributions - it should be clarified that because AU can be distributed in a number of different ways, there is no obvious one-to-one relation between P0(AU), or Pi (AU), and the actual level of overlap of the ensembles [14]. (a) The two important regions do not overlap, (b) The important region of the target system is a subset of the important region of the reference system, (c) The important region of the reference system overlaps with only a part of the important region of the target state. Then enhanced sampling techniques of stratification or importance sampling that require the introduction of an intermediate ensemble should be employed (d)...
Quantities in the expression common to both the CDW and the CDW-EIS versions arising from the fact that the CDW and CDW-EIS model have the same final continuum target state are... [Pg.321]

The question of describing the target states and whether or not the nonorthogonality of the target states in our present analytical solution, really makes a significant difference requires further research. Yet the qualitative agreement between the CDW-EIS model and experiment leads to the conclusion that it does represent the physics of the process correctly. [Pg.345]

Joachim C (1987) Control of the quantum path-target state distance bistable-like characteristic in a small tight-binding system. J Phys A 20 L1149... [Pg.266]

The search starts from the initial state qo. The set W is a data structure which stores symbolic states which are not yet explored. The functionfinal decides whether the given symbolic state is a target state in which the production is completed. The symbolic reachability graph is step-wise constructed by evaluating the successor relation Succ(q), which computes the successor symbolic states of q. The best solution is returned in cost. Existing tools implement numerous extensions of the standard algorithm to improve the efficiency ... [Pg.227]


See other pages where Target state is mentioned: [Pg.2048]    [Pg.2048]    [Pg.2295]    [Pg.258]    [Pg.19]    [Pg.51]    [Pg.173]    [Pg.175]    [Pg.207]    [Pg.207]    [Pg.169]    [Pg.3]    [Pg.6]    [Pg.8]    [Pg.12]    [Pg.37]    [Pg.46]    [Pg.46]    [Pg.47]    [Pg.48]    [Pg.51]    [Pg.59]    [Pg.59]    [Pg.60]    [Pg.61]    [Pg.62]    [Pg.67]    [Pg.72]    [Pg.90]    [Pg.209]    [Pg.211]    [Pg.226]    [Pg.504]    [Pg.222]    [Pg.224]    [Pg.225]    [Pg.226]    [Pg.100]    [Pg.100]    [Pg.106]   
See also in sourсe #XX -- [ Pg.129 ]

See also in sourсe #XX -- [ Pg.122 ]

See also in sourсe #XX -- [ Pg.39 ]




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Control target state

Intermediate target states

Scattering theory target states

Target reaction transition state

Target states, ejected electron spectroscopy

The complete set of target states

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