Singular points

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ASYMPTOTIC SOLUTIONS OF A PARABOLIC EQUATION NEAR SINGULAR POINTS OF \(A\) AND \(B\) TYPES

ASYMPTOTIC SOLUTIONS OF A PARABOLIC EQUATION NEAR SINGULAR POINTS OF \(A\) AND \(B\) TYPES

Although the types of singular points of solutions are classified in detail [1, ch. 2] and processes of the shock waves formation are studied [2], constructing asymptotic series in the small viscosity parameter ε for an equation of the general form (0.1) is a separate problem in every specific case. First substantial results for several types of singularities, including the Whitney fold singularity A 3 ,

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Detection of Singular Points from Fingerprint Images Using an Innovative Algorithm

Detection of Singular Points from Fingerprint Images Using an Innovative Algorithm

The core-delta relation deduced in Part II is used as a global restriction for selecting the best set of final singular points. In real applications, many fingerprint images captured by optical or capacitive sensors are not complete. Often they will lose one or two deltas. In this case, the number of cores is not necessarily equal to the number of deltas. Nevertheless, (3) still presents us a global topological restriction for singular points. Suppose the effective region of the fingerprints is Ω. By computing we can know that only a few combinations of the singular points are valid. In Table 1, most of the possible combinations of singular points are listed for fingerprints with the Poincare´ Index and the possible types (PA—plain arch, TA— tented arch, LL—left loop, RL—right loop, TL—twin loop).
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Learning Dynamics of the Complex Valued Neural Network in the Neighborhood of Singular Points

Learning Dynamics of the Complex Valued Neural Network in the Neighborhood of Singular Points

Recently, it has turned out that the singularity has a nega- tive effect on learning dynamics in the real-valued neural networks [12,13,15]. That is, the hierarchical structure or a symmetric property on exchange of weights of the the real-valued neural networks have singular points. For example, if a weight v between a hidden neuron and an output neuron is eaual to zero, then no value of the weight vector w between the hidden neuron and the input neurons affects the output value of the real-valued neural network. Then, the weight v is called an unidentifiable parameter, which is a kind of singular point. It has been proved that singular points affect the learning dynamics of learning models, and that they can cause a standstill in learning.
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Geometric conservation laws for cells or vesicles with membrane nanotubes or singular points

Geometric conservation laws for cells or vesicles with membrane nanotubes or singular points

Of course, in a living cell the membrane nanotube is sel- dom open and is usually closed at the tube's end point. Practical examples for such situation can be found in Refs.[1,4]. Geometrically this can be realized by letting the curve C converge gradually (i.e. r → 0) and tangentially to a point at the tube axis. Hence the cell or vesicle with a closed membrane nanotube may be abstracted as a closed surface with a singular point (Fig. 3a). In practice, more than one singular point may exist on a cell or vesicle. A typical example for two singular points on a vesicle has been reported in Ref.[4] and may be schematically expressed in Fig. 3b. A cell with a group of singular points is displayed in Ref.[5]. If the total number of singular points on the cell or vesicle is n point , Eq.(7) and Eq.(8) may be rewritten as:
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Singular Points Meshing Direct Method for Computing the Chaff Radar Cross Section

Singular Points Meshing Direct Method for Computing the Chaff Radar Cross Section

Abstract—An applicable and convenient method is critical for calculating the RCS (Radar Cross Sections) of chaff clouds. An improved method based on direct method is proposed in this paper to promote efficiency, which is called SPMDM (Singular Points Meshing Direct Method). The tanh-sinh method is applied in SPMDM to compute the complex singular function in which the integral domain is meshed by singular points. The practicability and accuracy of the SPMDM are confirmed through comparison with direct method. Results indicate that the SPMDM can significantly decrease calculation time and increase computing efficiency, especially in large-scale case or small relative error region.
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An automatic fingerprint classification technique based on singular points and structure shape of orientation fields

An automatic fingerprint classification technique based on singular points and structure shape of orientation fields

Another feature that is often used for distinguishing fingerprint classes is the existence and location of singular points. The singular points are classified into core and delta as depicted by Figure 1.7. The difficulties faced by singularities-based are: the singular points may not appear in the image, especially if the image is small; the noise in the fingerprint images makes the singular points extraction unreliable, including missing or wrong detection. There are several methods have been proposed to locate the singular points. However, the most common and widely used is the Poincaré index (Li et al., 2007), but this method is very sensitive to noise, low contrast and quality of fingerprint images.
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Singular points and Lie rotated vector fields

Singular points and Lie rotated vector fields

3. The motion of singular points. Let X(µ) be a Lie rotated vector field, we require the singular points of X(µ) to be strictly moved as parameter µ is changed, and permit the singular points that have been moved disappear or decompose, but require the singular points that have been decomposed to be at most limited in number, which do not coincide with the singular points of the original vector field.

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Generalized Helices and Singular Points

Generalized Helices and Singular Points

In this section, we consider Darboux surface F (Z,X) (s, u) = Z(s) + uX(s) of the unit speed curve α. Then we show that the Darboux surface is a developable surface which has zero Gaussian curvature. There is no any geometric interpretation of singular points in previous papers. Hence we investigate the singular locus of the surface and we show that it coincide with striction line of the surface.

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Elastodynamic singular points and their applications

Elastodynamic singular points and their applications

V The symmetric part of the dynamical Kelvin doublet gives us another fundamental solution which will be called the dynamical stresslet... The corresponding dis-.[r]

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Analysis of Inflection and Singular Points on Parametric Curve with a Shape Factor

Analysis of Inflection and Singular Points on Parametric Curve with a Shape Factor

This paper is organized as follows: First we show the construction of a class of cubic parametric curves with a variable shape factor. Ball curve, cubic Bézier curve and cubic Timmer curve are special cases of the curve. In Section 3, the inflection points and singularities of the space cubic parametric curves are discussed. In Section 4, shape features of the planar cubic parametric curves are proposed by using the method based on the theory of envelope and topological mapping. Necessary and sufficient conditions are derived for this curve to have one or two inflection points, a loop or a cusp, to be locally or globally convex. The results are summarized in a shape diagram. At last, the influences of shape factor on the shape diagram and their ability for adjusting the shape of the curve are analyzed.
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I  Singular perturbation problems involving singular points and turning points  II  On the averaged Lagrangian technique for nonlinear dispersive waves

I Singular perturbation problems involving singular points and turning points II On the averaged Lagrangian technique for nonlinear dispersive waves

a limit process expansion based at the turning point together with a twovariable expansion leads to a uniformly valid expansion... This is equivalent.[r]

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On the validity of ideal MHD in the vicinity of stagnation points  in the heliosphere and other astrospheres

On the validity of ideal MHD in the vicinity of stagnation points in the heliosphere and other astrospheres

Abstract. The paradigm of ideal MHD is investigated in the vicinity of null points of flows and magnetic fields. These null points determine the location and geometrical shape of the heliopause (or other astropauses). We investigate the question whether regular and stable solutions of the ideal MHD equations in the vicinity of null points of flow and magnetic field exist. This is done to test the validity of ideal MHD in the vicinity of flow and magnetic field of the plasma boundaries of stellar winds and their local inter- stellar medium. We calculate the general solutions of ideal MHD in the vicinity of magnetic null points and use the stan- dard form of stagnation point flows to analyse all possible time evolutions of these plasma environments. We show that the solution space in 2-D consists almost exclusively of either exponentially (in time) growing velocity or mag- netic fields, or collapse solutions. Regular solutions must be three-dimensional and seem to be unstable with respect to small perturbations. This is an argument that reconnection has to take place in such regions and that therefore nonideal terms in Ohm’s law are necessary, allowing for reconnec- tion. We conclude that the use of ideal MHD in the vicinity of singular points of flow and magnetic field has to be anal- ysed very carefully with respect to simulation results as those simulations show numerical dissipation (resistivity). These simulations can therefore produce unphysical reconnection regimes. Thus one has to search for a realistic Ohm’s law, allowing for reconnection at the heliospheric boundaries.
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Parametric models of surfaces

Parametric models of surfaces

always assume that the singularities are isolated? in the sense that each such point is contained in a neighbourhood which contains no other* We see? therefore? by applying the Weierstrass theorem to the compact space S, that the singular points form a finite set* Xt is a woll-known fact that if there are no singular points associated with f? then S is of genus one (the homeomorph of a torus),

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Solving Two-Points Singular Boundary Value Problem Using Hermite Interpolation

Heba A. Abd Al-Razak

Solving Two-Points Singular Boundary Value Problem Using Hermite Interpolation Heba A. Abd Al-Razak

interval containing . A point is an ordinary point of the ODE (2), if the functions P(x)and Q(x) are analytic at . Otherwise is a singular point of the ODE. On the other hand if P(x) or Q(x) are not analytic at then is said to be a singular point [12- 13].There is at present, numerical method for solving problems with regular singular points using Hermite interpolation method with interval [0 1].

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Fingerprint classification techniques

Fingerprint classification techniques

Input fingerprint image Fingerprint enhancement Quincunx orientation field estimation Location of Singular Points SPs using Ridge Flow Codes technique Types of SPs using Pointcare index [r]

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An automatic fingerprint classification technique based on global features

An automatic fingerprint classification technique based on global features

The heuristic rule-based fingerprint classification technique, and sometimes is also called model-based approach, uses the number and the locations of singular points to classify a fingerprint. This approach was first introduced by Henry [18] in his manual classification in the early 1990s. Later, the idea is adopted by Karu and Jain [1] to automatically classify the fingerprints. Their approach consists of three major steps: (i) computation of the ridge directions using 9 9 mask, (ii) finding the singularities in the directional image using Poincare index, and (iii) classification of the fingerprint based on the detected number and location of singular points. The classifier was tested on 4,000 and 5,400 images in the NIST-Db-4 and DB9, respectively. For both databases, classification accuracies of 85.4% for the five - class and 91.1% for the four-class problems, respectively, are reported. Since the method solely relies on the singular points, failure to locate them will result in classification errors. In other words, the method is only suitable for good quality fingerprints. Due to the limitations mentioned above, most of the recent studies combine singularities with another feature, such as ridge orientation field [11].
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The continous Legendre transform, its inverse transform, and applications

The continous Legendre transform, its inverse transform, and applications

Continuous Legendre Transform, Inverse Legendre Transform, Inversion ormulae, Shannon Sampling Theorem, Truncation Error Estimate, Behaviour of Legendre Functions Near Singular Points.. [r]

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Local dynamics of symmetric Hamiltonian systems with application to the affine rigid body

Local dynamics of symmetric Hamiltonian systems with application to the affine rigid body

The geometric theory of symmetric Hamiltonian systems is based on Poisson and symplectic geometries. The symmetry leads to the conservation of certain quantities and to the reduction of these systems. We take special attention to the reduction at singular points of the momentum map. We survey the singular reduction procedures and we give a method of reducing a symmetric Hamiltonian system in a neighbourhood of a group orbit which is valid even when the momentum map is singular. This reduc­ tion process, which we called slice reduction, enables us to partially reduce the (local) dynamics to the dynamics of a system defined on a symplectic manifold which is the product of a symplectic vector space (symplectic slice) with a coadjoint orbit for the original symmetry group. The reduction represents the local dynamics as a coupling between vibrational motion on the vector space and generalized rigid body dynamics on the coadjoint group orbits. Some applications of the slice reduction are described, namely the application to the bifurcation of relative equilibria.
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Qualitative analysis of eigenvalues and eigenfunctions of one boundary value-transmission problem

Qualitative analysis of eigenvalues and eigenfunctions of one boundary value-transmission problem

In different areas of applied mathematics and physics many problems arise in the form of boundary value problems involving transmission conditions at the interior singular points. Such problems are called boundary value-transmission problems (BVTPs). For example, in electrostatics and magnetostatics the model problem which describes the heat trans- fer through an infinitely conductive layer is a transmission problem (see [] and references therein). Another completely different field is that of ‘hydraulic fracturing’ (see []) used in order to increase the flow of oil from a reservoir into a producing oil well. Some problems with transmission conditions arise in thermal conduction problems for a thin laminated plate (i.e. a plate composed by materials with different characteristics piled in the thick- ness; see []). Some aspects of spectral problems for differential equations having singu- larities with classical boundary conditions at the endpoints were studied among others in [–] and references therein.
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Unusual properties - mathematical and physical - of the a-boundary construction

Unusual properties - mathematical and physical - of the a-boundary construction

However, when constructing a re-envelopment that does this, it is necessary to make use of the detailed structure of the singularity, and hence there is no general recipe for unravelling essential singularities. For this reason, the question of whether or not every essential singularity covers a pure singularity has never been settled, although a counterexample to this rule of thumb would seem at first glance to be very counterintuitive. It would consist of an essential singularity, from which, regardless of how much it has been “spread out”, non-singular points could always be extracted from it, like rabbits out of a hat. However, after having given the problem a considerable amount of thought, it would seem that the conjecture might not be true in general. The following example highlights what might go wrong, and is presented as a suspected counterexample.
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