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Graphs simple

Orgel diagrams Simple graphs showing the relation between the energies of various electronic slates and the crystal field splitting. [Pg.290]

Then the Lapladan matrix I of a simple graph G can be calculated from the diagonal matrix DEG and the adjacency matrix A following Eq. (11). [Pg.409]

In a simple (nonweighted) connected graph, the graph distance dy between a pair of vertices V and Vj is equal to the length of the shortest path cormecting the two vertices, i.e. the number of edges on the shortest path. The distance between two adjacent vertices is 1. The distance matrix D(G) of a simple graph G with N vertices is the square NxN symmetric matrix in which [D],j=cl,j [9, 10]. [Pg.88]

A similar approach was undertaken by Mah et al. (1976) in their attempt to organize the analysis of process data and to systematize the estimation and measurement correction problem. In this work, a simple graph-theoretic procedure for single component flow networks was developed. They then extended their treatment to multicomponent flow networks (Kretsovalis and Mah, 1987), and to generalized process networks, including bilinear energy balances and chemical reactions (Kretsovalis and Mah, 1988a,b). [Pg.45]

Other procedures for generating chains from polycyclic fused ring systems and for disconnecting fused rings which use simple graph theoretical approaches have been described.35 They make use of the dual of the molecular graph, i.e. the figure... [Pg.51]

Considering a trade-off between knowledge that is required prior to the analysis and predictive power, stoichiometric network analysis must be regarded as the most successful computational approach to large-scale metabolic networks to date. It is computationally feasible even for large-scale networks, and it is nonetheless far more predictive that a simple graph-based analysis. Stoichiometric analysis has resulted in a vast number of applications [35,67,70 74], including quantitative predictions of metabolic network function [50, 64]. The two most well-known variants of stoichiometric analysis, namely, flux balance analysis and elementary flux modes, constitute the topic of Section V. [Pg.114]

For simple graphs (saturated molecules) q is the number of edges. Averaged distance sums ... [Pg.32]

Table 1. Mean degeneracy of eleven topological or topological information indices calculated for 427 acyclic, monocyclic and bicyclic simple graphs with 4 to 8 vertices... [Pg.48]

We remind that an automorphism of a simple graph is a permutation of the vertices preserving adjacencies between vertices. For plane graphs, we require also that faces are sent to faces but for 3-connected graphs this condition is redundant. Recall that Aut(G) denotes the group of automorphisms of G. [Pg.12]

Fig. 1. All possible subgraphs of acesulfame (I) generated with the simple graph expression... Fig. 1. All possible subgraphs of acesulfame (I) generated with the simple graph expression...
Simple graph Node weighted graph Node edge weighted graph... [Pg.109]

A simple graph of net cash flow out of, or in to, the project s account illustrates the way in which the cumulative net cash flow moves over the lifetime of the project, and enables the payback time to be easily seen, as in Figure 3. The payback time may be expressed as less than 3 years , or more precisely, such as 2.4 years or 2 years 5 months. [Pg.290]

The end user of the results of the study is an additional factor to consider. In drug development programs recommendations for structural modification should be logical and easy to implement by medicinal chemists involved in designing the next sequence of compounds. Lipinski s rule of 5 (Lipinski et al., 1997) has no doubt found such wide application in industry, because the rule can be so easily interpreted and applied to new compounds. The paper by Lipinski (2000) shows a simple graph distributed to chemists that can be used to determine whether the solubility of a... [Pg.262]

The observation [22] that several carbon atoms may be united by means of one, two or three valencies C-C, C=C, C=C, has also been incorporated, at face value, into electronic theories of chemical bonding and provided with a quantum gloss. In many cases, actual relationships within molecules are too complicated to be represented by simple graphs, and the supposed quantum effects assumed to be at work in these situations led to the invention of pseudo-scientific concepts such as hybridization and resonance. This patch-work is still featured as the quantum theory of chemical bonding. [Pg.68]

Before attempting correlation analysis or the production of a regression equation, use a simple graph to check that you are not dealing with an obviously nonlinear relationship. If you obtain a graph such as Figure 14.7, you can proceed to such techniques with confidence, but Figure 14.6 (c, d or e) would warn you not to be so silly. [Pg.281]

The point of this excerise is to illustrate that simple graph plotting problems that would not tax a... [Pg.53]

A complete graph is a simple graph in which every pair of distinct vertices are adjacent. (Two vertices v and w of a graph G are said to be adjacent if there is an edge joining them the vertices v and w are then said to be incident to such an edge) [54a]... [Pg.161]

An alternative, statistical indicator, based on Student s l-test, can be used, provided that more experiments are performed than there are parameters in the model. Whereas this and related statistical indicators have a long and venerated history, it is always important to back up the statistics by simple graphs and considerations about the data. There are many diverse applications of a /-test, but in the context of analysing the significance of factors on designed experiments, the following die main steps are used... [Pg.40]

With these conceptual ideas it is possible to develop simple graphs that give the adiabatic flame temperature of any hydrocarbon fuel in air at any equivalence... [Pg.21]

Control chart is a simple graph of peak compression force vs. time. Each point on the chart corresponds to the average of N tablets made, with N ranging from 1 to several revolutions. The horizontal lines would indicate the control limits. [Pg.3703]

Two main definitions of bond order indices are reported below. Moreover, the term fractional bond order was suggested to refer to the inverse of any bond order index. Fractional bond order permits individual treatment of a and it molecular systems a bonds give simple graphs, while jt bonds introduce a weighted molecular framework with weights less than one [Randic et al, 1980]. [Pg.28]


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See also in sourсe #XX -- [ Pg.211 , Pg.258 ]

See also in sourсe #XX -- [ Pg.487 ]




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From simple graphs to multigraphs

Orderly generation of simple graphs

Simple graph representation

The Vertex-Adjacency Matrix of Simple Graphs

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