In computational geometry, Klee's measure problem is the problem of determining how efficiently the measure of a union of (multidimensional) rectangular ranges can be computed. Here, a d-dimensional rectangular range is defined to be a Cartesian product of d intervals of real numbers, which is a subset of Rd.
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| - Problema de la medida de Klee (es)
- Klee's measure problem (en)
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| - In computational geometry, Klee's measure problem is the problem of determining how efficiently the measure of a union of (multidimensional) rectangular ranges can be computed. Here, a d-dimensional rectangular range is defined to be a Cartesian product of d intervals of real numbers, which is a subset of Rd. (en)
- En la geometría computacional, el problema de la medida de Klee es el problema de determinar cuan eficientemente la medida de una unión (multidimensional) de rangos rectangulares puede ser calculada. Aquí, un rango rectangular d-dimensional es definido como un producto cartesiano de d intervalos de números reales, que es un subconjunto de Rd. (es)
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| - In computational geometry, Klee's measure problem is the problem of determining how efficiently the measure of a union of (multidimensional) rectangular ranges can be computed. Here, a d-dimensional rectangular range is defined to be a Cartesian product of d intervals of real numbers, which is a subset of Rd. The problem is named after Victor Klee, who gave an algorithm for computing the length of a union of intervals (the case d = 1) which was later shown to be optimally efficient in the sense of computational complexity theory. The computational complexity of computing the area of a union of 2-dimensional rectangular ranges is now also known, but the case d ≥ 3 remains an open problem. (en)
- En la geometría computacional, el problema de la medida de Klee es el problema de determinar cuan eficientemente la medida de una unión (multidimensional) de rangos rectangulares puede ser calculada. Aquí, un rango rectangular d-dimensional es definido como un producto cartesiano de d intervalos de números reales, que es un subconjunto de Rd. Este problema toma el nombre en honor a Victor Klee, quien dio un algoritmo para calcular la longitud de una unión de intervalos (el caso d = 1)que más tarde mostró ser óptimamente eficiente en el sentido de la teoría de complejidad computacional. La complejidad computacional para calcular el área de una unión de rangos rectangulares 2-dimensionales ahora también es conocida, pero en el caso de d ≥ 3 sigue siendo un problema abierto. (es)
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