Self-testing/correcting with applications to numerical problems
Journal of Computer and System Sciences - Special issue: papers from the 22nd ACM symposium on the theory of computing, May 14–16, 1990
Property testing in bounded degree graphs
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
Property testing and its connection to learning and approximation
Journal of the ACM (JACM)
Linear programming in low dimensions
Handbook of discrete and computational geometry
Checking geometric programs or verification of geometric structures
Selected papers from the 12th annual symposium on Computational Geometry
Robust Characterizations of Polynomials withApplications to Program Testing
SIAM Journal on Computing
FOCS '98 Proceedings of the 39th Annual Symposium on Foundations of Computer Science
Regular Languages are Testable with a Constant Number of Queries
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Approximate checking of polynomials and functional equations
FOCS '96 Proceedings of the 37th Annual Symposium on Foundations of Computer Science
On the robustness of functional equations
SFCS '94 Proceedings of the 35th Annual Symposium on Foundations of Computer Science
Property Testing with Geometric Queries
ESA '01 Proceedings of the 9th Annual European Symposium on Algorithms
ESA'10 Proceedings of the 18th annual European conference on Algorithms: Part I
Property testing
Property testing
Property testing
Property testing
Online geometric reconstruction
Journal of the ACM (JACM)
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We consider the notion of property testing as applied to computational geometry. We aim at developing efficient algorithms which determine whether a given (geometrical) object has a predetermined property Q or is "far" from any object having the property. We show that many basic geometric properties have very efficient testing algorithms, whose running time is significantly smaller than the object description size.