Приклади вживання Computational geometry Англійська мовою та їх переклад на Українською
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The term"computational geometry" in this meaning has been in use since 1971.
Approximation theory and theory if optimal algorithms, computational geometry;
This is the result of computational geometry, gesture recognition, and machine learning.
The art gallery problem ormuseum problem is a well-studied visibility problem in computational geometry.
So, for example, you can do serious computational geometry with your favorite cat picture if you want.
For example, it is easier to deal with triangles than general polygons,especially in computational geometry.
In computational geometry, the ray casting problem is also called the ray shooting problem and might be stated as the subsequent query issue.
Art gallery problem- The art gallery problem ormuseum problem is a well studied visibility problem in computational geometry.
In computational geometry, the ray casting problem is also known as the ray shooting problem and may be stated as the following query problem.
Solving collision detection problems requiresextensive use of concepts from linear algebra and computational geometry.
Combinatorial computational geometry, also called algorithmic geometry, which deals with geometric objects as discrete entities.
By Bogdan Rublev scientific interests include problems of computational geometry and computational topology.
A good share of papers in the computational geometry literature is directly or indirectly concerned with Voronoi diagrams and their related structures.
A groundinging book in the subject by Preparata andShamos dates the first use of the term“computational geometry” in this sense by 1975.
In computational geometry, the visibility polygon or visibility region for a point p in the plane among obstacles is the possibly unbounded polygonal region of all points of the plane visible from p.
Some purely geometrical problems arise out of the study of computational geometric algorithms,and such problems are also considered to be part of computational geometry.
Apart from computational number theory and primality testing,he has worked in the areas of computational geometry, scientific computing, parallel algorithms and randomized algorithms.
Some purely geometrical problems arise out of the study of computational geometric algorithms, and the study of such problemsis also considered to be part of computational geometry.
Research interests: Theory of functions approximation of one and several variables,extreme problems of approximation theory, computational geometry and its application, applied statistics, riskology, economic and mathematical modeling.
In computational geometry, the opaque forest problem can be stated as follows:"Given a convex polygon C in the plane, determine the minimal forest T of closed, bounded line segments such that every line through C also intersects T".
This year, the conference was focused on usage of AI and Cloud technologies for developing of Engineering applications,as well as on discussions of core elements of Computational Geometry and 3D modeling.
Mehlhorn is the author of several books and over 250 scientific publications,.[7]which include fundamental contributions to data structures, computational geometry, computer algebra, parallel computing, VLSI design, computational complexity, combinatorial optimization, and graph algorithms.[3].
It includes a number of subareas such as polyhedral combinatorics(the study of faces of convex polyhedra), convex geometry(the study of convex sets, in particular combinatorics of their intersections), and discrete geometry, which in turn has many applications to computational geometry.
Indyk's research focuses primarily on computational geometry in high-dimensions, streaming algorithms, and computational learning theory. He has made a range of contributions to these fields, particularly in the study of low-distortion embeddings, algorithmic coding theory, and geometric and combinatorial pattern matching.
The Geometry Computational Design Department.
It is a branch ofapplied mathematics that is closely connected with the geometry, mathematical analysis, the classical potential theory, mathematical statistics and computational mathematics.
This helps in keeping the number of unknowns at a minimum andthus reduces computational time for nonorthogonal geometries.