Classes

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Classes

svLis-m classes include the following:

Dimensions They are introduced as and when required, becoming the variables in the polynomial expressions used to represent solids. They can represent the normal independent space dimesions, or translations, rotations about an axis, scaling factors, etc. Each has a name and description to identify it to the user. Spaces A space is a collection of dimensions. Coordinates A coordinate is a real value in a specified dimension. Points A list of coordinates used to represent points and vectors. Real intervals svLis-m uses a lot of interval arithmetic. Intervals A svLis-m interval is a real interval in a specified dimension. Boxes Axially aligned boxes, represented by a list of intervals. Flats A flat is a linear halfspace in an arbitary number of dimensions, specified by a normal to the surface and a distance from the origin. Sets Sets are a number of flats combined using arithmetic, trancendental and set-theoretic operators in a binary tree. Models svLis-m regards a model as a list of sets bounded by an axially-aligned box. The Svm team: They are introduced as and when required, becoming the variables in the polynomial expressions used to represent solids. They can represent the normal independent space dimesions, or translations, rotations about an axis, scaling factors, etc. Each has a name and description to identify it to the user.
Spaces A space is a collection of dimensions. Coordinates A coordinate is a real value in a specified dimension. Points A list of coordinates used to represent points and vectors. Real intervals svLis-m uses a lot of interval arithmetic. Intervals A svLis-m interval is a real interval in a specified dimension. Boxes Axially aligned boxes, represented by a list of intervals. Flats A flat is a linear halfspace in an arbitary number of dimensions, specified by a normal to the surface and a distance from the origin. Sets Sets are a number of flats combined using arithmetic, trancendental and set-theoretic operators in a binary tree. Models svLis-m regards a model as a list of sets bounded by an axially-aligned box. The Svm team: A space is a collection of dimensions.
Coordinates A coordinate is a real value in a specified dimension. Points A list of coordinates used to represent points and vectors. Real intervals svLis-m uses a lot of interval arithmetic. Intervals A svLis-m interval is a real interval in a specified dimension. Boxes Axially aligned boxes, represented by a list of intervals. Flats A flat is a linear halfspace in an arbitary number of dimensions, specified by a normal to the surface and a distance from the origin. Sets Sets are a number of flats combined using arithmetic, trancendental and set-theoretic operators in a binary tree. Models svLis-m regards a model as a list of sets bounded by an axially-aligned box. The Svm team: A coordinate is a real value in a specified dimension.
Points A list of coordinates used to represent points and vectors. Real intervals svLis-m uses a lot of interval arithmetic. Intervals A svLis-m interval is a real interval in a specified dimension. Boxes Axially aligned boxes, represented by a list of intervals. Flats A flat is a linear halfspace in an arbitary number of dimensions, specified by a normal to the surface and a distance from the origin. Sets Sets are a number of flats combined using arithmetic, trancendental and set-theoretic operators in a binary tree. Models svLis-m regards a model as a list of sets bounded by an axially-aligned box. The Svm team: A list of coordinates used to represent points and vectors.
Real intervals svLis-m uses a lot of interval arithmetic. Intervals A svLis-m interval is a real interval in a specified dimension. Boxes Axially aligned boxes, represented by a list of intervals. Flats A flat is a linear halfspace in an arbitary number of dimensions, specified by a normal to the surface and a distance from the origin. Sets Sets are a number of flats combined using arithmetic, trancendental and set-theoretic operators in a binary tree. Models svLis-m regards a model as a list of sets bounded by an axially-aligned box. The Svm team: svLis-m uses a lot of interval arithmetic.
Intervals A svLis-m interval is a real interval in a specified dimension. Boxes Axially aligned boxes, represented by a list of intervals. Flats A flat is a linear halfspace in an arbitary number of dimensions, specified by a normal to the surface and a distance from the origin. Sets Sets are a number of flats combined using arithmetic, trancendental and set-theoretic operators in a binary tree. Models svLis-m regards a model as a list of sets bounded by an axially-aligned box. The Svm team: A svLis-m interval is a real interval in a specified dimension.
Boxes Axially aligned boxes, represented by a list of intervals. Flats A flat is a linear halfspace in an arbitary number of dimensions, specified by a normal to the surface and a distance from the origin. Sets Sets are a number of flats combined using arithmetic, trancendental and set-theoretic operators in a binary tree. Models svLis-m regards a model as a list of sets bounded by an axially-aligned box. The Svm team: Axially aligned boxes, represented by a list of intervals.
Flats A flat is a linear halfspace in an arbitary number of dimensions, specified by a normal to the surface and a distance from the origin. Sets Sets are a number of flats combined using arithmetic, trancendental and set-theoretic operators in a binary tree. Models svLis-m regards a model as a list of sets bounded by an axially-aligned box. The Svm team: A flat is a linear halfspace in an arbitary number of dimensions, specified by a normal to the surface and a distance from the origin.
Sets Sets are a number of flats combined using arithmetic, trancendental and set-theoretic operators in a binary tree. Models svLis-m regards a model as a list of sets bounded by an axially-aligned box. The Svm team: Sets are a number of flats combined using arithmetic, trancendental and set-theoretic operators in a binary tree.
Models svLis-m regards a model as a list of sets bounded by an axially-aligned box. The Svm team: svLis-m regards a model as a list of sets bounded by an axially-aligned box.

The Svm team