Computational geometry : with independent and dependent uncertainties / Rivka Gitik and Leo Joskowicz
Material type: Computer fileLanguage: English Publication details: Singapore ; Hackensack, NJ : World Scientific Publishing Co. Pte. Ltd, 2023Description: 1 online resource (160, pages) : color illustrationsContent type:- text
- computer
- online resource
- 9789811253843 (e-book)
- QA448 D38 G44 2023
Item type | Current library | Collection | Call number | Materials specified | Status | Notes | Date due | Barcode |
---|---|---|---|---|---|---|---|---|
Online E-Books | Ladislao N. Diwa Memorial Library Multimedia Section | Non-fiction | OEBP QA448.D38 G44 2023 (Browse shelf(Opens below)) | Available | PAV | OEBP000435 | ||
Compact Discs | Ladislao N. Diwa Memorial Library Multimedia Section | Non-fiction | EB QA448.D38 G44 2023 (Browse shelf(Opens below)) | Room use only | PAV | CD0001364 |
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EB QA280 R12 2023 Forecasting time series data with Prophet : build, improve, and optimize time series forecasting models using Meta's advanced forecasting tool / | EB QA297 D35 2020 Numerical methods in science and engineering : theories with MATLAB, mathematica, fortran, C and python programs / | EB QA374. C658 C76 2023 Control of partial differential equations / | EB QA448.D38 G44 2023 Computational geometry : with independent and dependent uncertainties / | EB QC21 M72 2020 Modern physics / | EB QC30 B64 2021 General physics / | EB QC6 N485N48 2020 Thinking about physics / |
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Includes bibliographical references and index
1. Introduction -- 2. The linear parametric geometric uncertainty model -- 3. The envelopes of uncertain points, lines and circles -- 4. Half-plane point retrieval queries -- 5. Euclidean minimum spanning trees -- 6. Voronoi diagram and delaunay triangulation -- 7. Conclusion
This 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
Fund 164 CE-Logic Purchased February 19, 2024 OEBP000435
P. Roderno PHP 15,732.00
2024-02-0124 2024-1-113