000			01402nam a22001817a 4500
005			20250522122308.0
008			250522b2023 |||||||| |||| 00| 0 eng d
020			_a9789811253836
082			_a516.00285 GIT-R
100			_aGitik, Rivka
245			_aComputational geometry : _bwith independent and dependent uncertainties / _cRivka Gitik and Leo Joskowicz
260			_aIndia _bWorld Scientific _c2023
300			_a145p.
500			_aThis comprehensive compendium describes a parametric model and algorithmic theory to represent geometric entities with dependent uncertainties between them. The theory, named Linear Parametric Geometric Uncertainty Model (LPGUM), is an expressive and computationally efficient framework that allows to systematically study geometric uncertainty and its related algorithms in computer geometry. The self-contained monograph is of great scientific, technical, and economic importance as geometric uncertainty is ubiquitous in mechanical CAD/CAM, robotics, computer vision, wireless networks and many other fields. Geometric models, in contrast, are usually exact and do not account for these inaccuracies. This useful reference text benefits academics, researchers, and practitioners in computer science, robotics, mechanical engineering and related fields
650			_aGeometry--Data processing.
650			_aComputer algorithms.
700			_aJoskowicz, Leo
999			_c93501 _d93501