### Table 1: Some formalisms used to specify dynamical systems according to the discrete or continuous nature of time and state variables.

2002

Cited by 1

### Table 3.2: Polynomial Dynamical Systems approach. The first four columns are the four entries in the confusion matrix. D1 corresponds to the DML discretization method. Each Qi corresponds to quantile discretization into i states.

2007

### Table 2: Some formalisms used to specify structured dynamical systems according to the continuous or discrete nature of space, time, and state variables of the components. The heading Numerical Solutions refers to explicit numerical solutions of partial differential equations and systems of coupled ordinary differential equations.

2002

Cited by 1

### Table 1: Overview of results on bifurcations from periodic solutions with spatiotem- poral symmetry and spatial symmetry in ?-equivariant dynamical systems

1999

"... In PAGE 6: ... When = = Zm, the periodic solution P is called a discrete rotating wave. A brief overview of some key papers on bifurcation from rotating waves and discrete rotating waves is sketched in Table1 . In this paper, we con ne ourselves to discussing bifurcation from isolated periodic solutions with compact spatiotemporal symmetry.... ..."

Cited by 9

### Table 1: Overview of results on bifurcations from periodic solutions with spatiotem- poral symmetry and spatial symmetry in ?-equivariant dynamical systems

1999

"... In PAGE 6: ... When = = Zm, the periodic solution P is called a discrete rotating wave. A brief overview of some key papers on bifurcation from rotating waves and discrete rotating waves is sketched in Table1 . In this paper, we con ne ourselves to discussing bifurcation from isolated periodic solutions with compact spatiotemporal symmetry.... ..."

Cited by 9

### Table 4: Conformation analysis of a pentane (300K). Internal costs for a partition into seven sets.

2004

"... In PAGE 16: ... Here the standard and the integrating approach yield approximately the same results, while the computational time is comparable. The internal costs for both approaches are given in Table4 , the location of the almost invariant sets for the integrating method is shown in Figure 8. Note that the projected partititon has the same internal cost as its parent because the discretized dynamical system is exactly the same because we are considering... ..."

### Table 1 Example: discrete model of trust dynamics

2003

"... In PAGE 10: ...Jonker and Treur, 1999). In this model trust (e.g., in somebody selling special fruit offers) has three possible states (distrust, indifferent, trust). To keep complexity limited, only the current experience and the experiences two steps back in history are taken into account to determine a trust state at time point t, according to Table1 below. Table 1 Example: discrete model of trust dynamics ... ..."

Cited by 14

### Table 1 Example: discrete model of trust dynamics

2003

"... In PAGE 10: ...Jonker and Treur, 1999). In this model trust (e.g., in somebody selling special fruit offers) has three possible states (distrust, indifferent, trust). To keep complexity limited, only the current experience and the experiences two steps back in history are taken into account to determine a trust state at time point t, according to Table1 below. Table 1 Example: discrete model of trust dynamics ... ..."

Cited by 14

### Table 2. Equations of convective radiation hydrodynamics in integral form. d=dt denotes the time derivative with respect to a moving coordinate system which is essential for discretization on an adaptive grid. V = V (t) denotes a time-dependent volume and @V its surface. Refer to Table 6 for a comprehensive list of symbols and to the text for further details. Gas dynamics

"... In PAGE 5: ... 3. Numerical solution The equations of convective radiation hydrodynamics given in Table2 yield a system of 7 nonlinear coupled par- tial di erential equations. Together with the initial and boundary condition discussed in Sect.... In PAGE 6: ....2. Discretization By adding the adaptive grid equation to the CRHD system (cf. Table2 ) we end up with a system of 8 nonlinear par- tial di erential equations. These equations are discretized in space and time by the method given in Tscharnutter amp; Winkler (1979) and Winkler amp; Norman (1986), which implies that the equations are formulated in conservation form.... ..."

### Table 2: Discrete Dust Lanes Fitted for Extinction Curves

"... In PAGE 12: ... These results are listed, with computed galactocentric distances for each region R(fg) and R(bg) for foreground and background systems, in Table 1. Here and in Table2 , the regions are listed with coordinate o sets from the nucleus of NGC 3314A, which has a position in the GSC reference frame (2000) 10h 37m 12s.... In PAGE 14: ... This was done for nine discrete dust features surrounded by interlane regions, as identi ed in Fig. 6 and listed in Table2 . We construct local models of the background light by interpolation along the pitch angle of the background spiral structure, and divide the data by these models to get maps of transmitted intensity at each wavelength, B and I.... In PAGE 19: ... The expected relation between transmissions in these passbands, TB and TI, was calculated by taking a model photon-rate spectrum for the background disk (an old population with constant star-formation rate), folding this through the response functions of the lters and WFPC2 CCDs, applying a reddening of known amount with each value of R, and deriving the transmission values for each set of AV and R. For each of the dust lanes in Table2 , we derive the best- tting value of R in a 2 sense, with the typical error derived from scatter in the upper region of each dust lane apos;s data. Reference curves for the Galactic mean R = 3:1 are shown for each dust feature in Fig.... In PAGE 27: ... They are marked on the B-band WFPC2 image, shown with a pseudologarithmic intensity scale to compress the dynamic range while avoiding the distracting ampli cation of sky noise. Also marked are discrete dust lanes measured for for di erential extinction against their surroundings ( Table2 ), indicated by circled numbers. Features 1, 7, and 8 are unambiguously associated with the foreground system by showing H emission at its redshift, despite their large projected distance.... ..."