This class provides an algorithm to compute a uniform abscissa distribution of points on a curve, i.e. a sequence of equidistant points. The distance between two consecutive points is measured along the curve.
More...
#include <GCPnts_QuasiUniformAbscissa.hxx>
|
| GCPnts_QuasiUniformAbscissa () |
| Constructs an empty algorithm. To define the problem to be solved, use the function Initialize. More...
|
|
| GCPnts_QuasiUniformAbscissa (const Adaptor3d_Curve &theC, const Standard_Integer theNbPoints) |
| Computes a uniform abscissa distribution of points. More...
|
|
| GCPnts_QuasiUniformAbscissa (const Adaptor3d_Curve &theC, const Standard_Integer theNbPoints, const Standard_Real theU1, const Standard_Real theU2) |
| Computes a uniform abscissa distribution of points on the part of curve limited by the two parameter values theU1 and theU2, where Abscissa is the curvilinear distance between two consecutive points of the distribution. The first point of the distribution is either the origin of curve or the point of parameter theU1. The following points are computed such that the curvilinear distance between two consecutive points is equal to Abscissa. The last point of the distribution is either the end point of curve or the point of parameter theU2. However the curvilinear distance between this last point and the point just preceding it in the distribution is, of course, generally not equal to Abscissa. Use the function IsDone() to verify that the computation was successful, the function NbPoints() to obtain the number of points of the computed distribution, and the function Parameter() to read the parameter of each point. More...
|
|
void | Initialize (const Adaptor3d_Curve &theC, const Standard_Integer theNbPoints) |
| Initialize the algorithms with 3D curve and target number of points. More...
|
|
void | Initialize (const Adaptor3d_Curve &theC, const Standard_Integer theNbPoints, const Standard_Real theU1, const Standard_Real theU2) |
| Initialize the algorithms with 3D curve, target number of points and curve parameter range. More...
|
|
| GCPnts_QuasiUniformAbscissa (const Adaptor2d_Curve2d &theC, const Standard_Integer theNbPoints) |
| Computes a uniform abscissa distribution of points on the 2D curve. More...
|
|
| GCPnts_QuasiUniformAbscissa (const Adaptor2d_Curve2d &theC, const Standard_Integer theNbPoints, const Standard_Real theU1, const Standard_Real theU2) |
| Computes a Uniform abscissa distribution of points on a part of the 2D curve. More...
|
|
void | Initialize (const Adaptor2d_Curve2d &theC, const Standard_Integer theNbPoints) |
| Initialize the algorithms with 2D curve and target number of points. More...
|
|
void | Initialize (const Adaptor2d_Curve2d &theC, const Standard_Integer theNbPoints, const Standard_Real theU1, const Standard_Real theU2) |
| Initialize the algorithms with 2D curve, target number of points and curve parameter range. More...
|
|
Standard_Boolean | IsDone () const |
| Returns true if the computation was successful. IsDone is a protection against: More...
|
|
Standard_Integer | NbPoints () const |
| Returns the number of points of the distribution computed by this algorithm. This value is either: More...
|
|
Standard_Real | Parameter (const Standard_Integer Index) const |
| Returns the parameter of the point of index Index in the distribution computed by this algorithm. Warning Index must be greater than or equal to 1, and less than or equal to the number of points of the distribution. However, pay particular attention as this condition is not checked by this function. Exceptions StdFail_NotDone if this algorithm has not been initialized, or if the computation was not successful. More...
|
|
This class provides an algorithm to compute a uniform abscissa distribution of points on a curve, i.e. a sequence of equidistant points. The distance between two consecutive points is measured along the curve.
The distribution is defined by a number of points.
◆ GCPnts_QuasiUniformAbscissa() [1/5]
GCPnts_QuasiUniformAbscissa::GCPnts_QuasiUniformAbscissa |
( |
| ) |
|
Constructs an empty algorithm. To define the problem to be solved, use the function Initialize.
◆ GCPnts_QuasiUniformAbscissa() [2/5]
Computes a uniform abscissa distribution of points.
- on the curve where Abscissa is the curvilinear distance between two consecutive points of the distribution.
◆ GCPnts_QuasiUniformAbscissa() [3/5]
Computes a uniform abscissa distribution of points on the part of curve limited by the two parameter values theU1 and theU2, where Abscissa is the curvilinear distance between two consecutive points of the distribution. The first point of the distribution is either the origin of curve or the point of parameter theU1. The following points are computed such that the curvilinear distance between two consecutive points is equal to Abscissa. The last point of the distribution is either the end point of curve or the point of parameter theU2. However the curvilinear distance between this last point and the point just preceding it in the distribution is, of course, generally not equal to Abscissa. Use the function IsDone() to verify that the computation was successful, the function NbPoints() to obtain the number of points of the computed distribution, and the function Parameter() to read the parameter of each point.
Warning The roles of theU1 and theU2 are inverted if theU1 > theU2. Warning theC is an adapted curve, that is, an object which is an interface between:
- the services provided by either a 2D curve from the package Geom2d (in the case of an Adaptor2d_Curve2d curve) or a 3D curve from the package Geom (in the case of an Adaptor3d_Curve curve),
- and those required on the curve by the computation algorithm.
- Parameters
-
theC | [in] input 3D curve |
theNbPoints | [in] defines the number of desired points |
theU1 | [in] first parameter on curve |
theU2 | [in] last parameter on curve |
◆ GCPnts_QuasiUniformAbscissa() [4/5]
Computes a uniform abscissa distribution of points on the 2D curve.
- Parameters
-
theC | [in] input 2D curve |
theNbPoints | [in] defines the number of desired points |
◆ GCPnts_QuasiUniformAbscissa() [5/5]
Computes a Uniform abscissa distribution of points on a part of the 2D curve.
- Parameters
-
theC | [in] input 2D curve |
theNbPoints | [in] defines the number of desired points |
theU1 | [in] first parameter on curve |
theU2 | [in] last parameter on curve |
◆ Initialize() [1/4]
Initialize the algorithms with 3D curve and target number of points.
- Parameters
-
theC | [in] input 3D curve |
theNbPoints | [in] defines the number of desired points |
◆ Initialize() [2/4]
Initialize the algorithms with 3D curve, target number of points and curve parameter range.
- Parameters
-
theC | [in] input 3D curve |
theNbPoints | [in] defines the number of desired points |
theU1 | [in] first parameter on curve |
theU2 | [in] last parameter on curve |
◆ Initialize() [3/4]
Initialize the algorithms with 2D curve and target number of points.
- Parameters
-
theC | [in] input 2D curve |
theNbPoints | [in] defines the number of desired points |
◆ Initialize() [4/4]
Initialize the algorithms with 2D curve, target number of points and curve parameter range.
- Parameters
-
theC | [in] input 2D curve |
theNbPoints | [in] defines the number of desired points |
theU1 | [in] first parameter on curve |
theU2 | [in] last parameter on curve |
◆ IsDone()
Returns true if the computation was successful. IsDone is a protection against:
- non-convergence of the algorithm
- querying the results before computation.
◆ NbPoints()
Returns the number of points of the distribution computed by this algorithm. This value is either:
- the one imposed on the algorithm at the time of construction (or initialization), or
- the one computed by the algorithm when the curvilinear distance between two consecutive points of the distribution is imposed on the algorithm at the time of construction (or initialization). Exceptions StdFail_NotDone if this algorithm has not been initialized, or if the computation was not successful.
◆ Parameter()
Returns the parameter of the point of index Index in the distribution computed by this algorithm. Warning Index must be greater than or equal to 1, and less than or equal to the number of points of the distribution. However, pay particular attention as this condition is not checked by this function. Exceptions StdFail_NotDone if this algorithm has not been initialized, or if the computation was not successful.
The documentation for this class was generated from the following file: