Name: Spatial Reasoning and Planning: Geometry, Mechanism, and Motion (Advanced Information Processing) (en Inglés)
SKU: 62111800
Price: 95.47 USD
Availability: InStock
Author: Jiming Liu; Laeeque K. Daneshmend

portada Spatial Reasoning and Planning: Geometry, Mechanism, and Motion (Advanced Information Processing) (en Inglés)

Spatial Reasoning and Planning: Geometry, Mechanism, and Motion (Advanced Information Processing) (en Inglés)

Formato

Libro Físico

Editorial

Springer Verlag Gmbh

Autor

Jiming Liu; Laeeque K. Daneshmend

Idioma

Inglés

N° páginas

180

Encuadernación

Tapa Blanda

ISBN13

9783642623370

Spatial Reasoning and Planning: Geometry, Mechanism, and Motion (Advanced Information Processing) (en Inglés)

Jiming Liu; Laeeque K. Daneshmend (Autor) · Springer Verlag Gmbh · Tapa Blanda

Libro Nuevo Importado

Envío: 17 a 24 días háb.

$ 190.95$ 95.47

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 95.47

Llega entre el 14 Sep y el 25 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Spatial Reasoning and Planning: Geometry, Mechanism, and Motion (Advanced Information Processing) (en Inglés)"

Spatial reasoning and planning is a core constituent in robotics, graphics, computer-aided design, and geographic information systems. After a review of previous work in the related areas, Liu and Daneshmend present here a unified framework for qualitative spatial representation and reasoning, which enables the generation of solutions to spatial problems where the geometric knowledge is imprecise. The approach utilizes qualitative spatial representation and reasoning integrated with a quantitative search procedure based on simulated annealing. Many graphical illustrations and detailed algorithm descriptions help the readers to comprehend the solution paths and to develop their own applications. The book is written as a self-contained text for researchers and graduate students in computer science and related engineering disciplines. The methodologies, algorithmic details, and case studies presented can be used as course material as well as a convenient reference.