• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 7,457
Next 10 →

Efficient algorithms for geometric optimization

by Pankaj K. Agarwal, Micha Sharir - ACM Comput. Surv , 1998
"... We review the recent progress in the design of efficient algorithms for various problems in geometric optimization. We present several techniques used to attack these problems, such as parametric searching, geometric alternatives to parametric searching, prune-and-search techniques for linear progra ..."
Abstract - Cited by 114 (10 self) - Add to MetaCart
We review the recent progress in the design of efficient algorithms for various problems in geometric optimization. We present several techniques used to attack these problems, such as parametric searching, geometric alternatives to parametric searching, prune-and-search techniques for linear

Geometric Optimization

by Paul Hinker Charles, Charles Hansen - In Proc. Visualization ’93 , 1993
"... An algorithm is presented which describes an application independent method for reducing the number of polygonal primitives required to faithfully represent an object. Reducing polygon count without a corresponding reduction in object detail is important for: achieving interactive frame rates in sci ..."
Abstract - Add to MetaCart
in scientific visualization, reducing mass storage requirements, and facilitating the transmission of large, multi-timestep geometric data sets. This paper shows how coplanar and nearly coplanar polygons can be merged into larger complex polygons and re-triangulated into fewer simple polygons than originally

An Expander-Based Approach to Geometric Optimization

by Matthew J. Katz, Micha Sharir - IN PROC. 9TH ANNU. ACM SYMPOS. COMPUT. GEOM , 1993
"... We present a new approach to problems in geometric optimization that are traditionally solved using the parametric searching technique of Megiddo [34]. Our new approach ..."
Abstract - Cited by 40 (15 self) - Add to MetaCart
We present a new approach to problems in geometric optimization that are traditionally solved using the parametric searching technique of Megiddo [34]. Our new approach

Geometric Optimization Algorithms in Manufacturing

by Kai Tang
"... In this paper we review the recent progress in the design of efficient algorithms for several geometric optimization problems in manufacturing processes. We first describe the strong geometric characteristics of optimization problems in manufacturing. Three illustrative problems are then presented i ..."
Abstract - Add to MetaCart
In this paper we review the recent progress in the design of efficient algorithms for several geometric optimization problems in manufacturing processes. We first describe the strong geometric characteristics of optimization problems in manufacturing. Three illustrative problems are then presented

Applications of parametric searching in geometric optimization

by Pankaj K. Agarwal, Micha Sharir - J. Algorithms , 1994
"... z Sivan Toledo x ..."
Abstract - Cited by 92 (16 self) - Add to MetaCart
z Sivan Toledo x

GEOMETRIC OPTIMIZATION OF FENESTRATION

by Jonathan Wright, Monjur Mourshed
"... Fenestration and its design have a significant impact on the energy use associated with the artificial lighting, heating and cooling of a building. To date, research into window optimization has been for windows that are constrained to have a regular geometric shape and position. This paper describe ..."
Abstract - Cited by 8 (1 self) - Add to MetaCart
Fenestration and its design have a significant impact on the energy use associated with the artificial lighting, heating and cooling of a building. To date, research into window optimization has been for windows that are constrained to have a regular geometric shape and position. This paper

Geometric Optimization for Computer Vision

by Pei Yean Lee , 2005
"... ..."
Abstract - Cited by 6 (3 self) - Add to MetaCart
Abstract not found

Algorithmic techniques for geometric optimization

by Pankaj K. Agarwal, Micha Sharir - In Computer Science Today: Recent Trends and Developments, Lecture Notes in Computer Science , 1995
"... ..."
Abstract - Cited by 6 (3 self) - Add to MetaCart
Abstract not found

Two Geometric Optimization Problems

by Bhaskar Dasgupta - in Ding-Zhu Du and Jie Sun (eds.), New Advances in Optimization and Approximation , 1994
"... Abstract. We consider two optimization problems with geometric structures. The rst one concerns the following minimization problem, termed as the rectilinear polygon cover problem: \Cover certain features of a given rectilinear polygon (possibly with rectilinear holes) with the minimum number of rec ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
Abstract. We consider two optimization problems with geometric structures. The rst one concerns the following minimization problem, termed as the rectilinear polygon cover problem: \Cover certain features of a given rectilinear polygon (possibly with rectilinear holes) with the minimum number

Coordination And Geometric Optimization Via Distributed Dynamical Systems

by Jorge Cortes, És, Francesco Bullo , 2003
"... This paper discusses dynamical systems for disk-covering and sphere-packing problems. We present facility location functions from geometric optimization and characterize their differentiable properties. We design and analyze a collection of distributed control laws that are related to nonsmooth grad ..."
Abstract - Cited by 98 (26 self) - Add to MetaCart
This paper discusses dynamical systems for disk-covering and sphere-packing problems. We present facility location functions from geometric optimization and characterize their differentiable properties. We design and analyze a collection of distributed control laws that are related to nonsmooth
Next 10 →
Results 1 - 10 of 7,457
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University