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» Constraint Solving for Interpolation
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111
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VMCAI
2007
Springer
15 years 7 months ago
Constraint Solving for Interpolation
Interpolation is an important component of recent methods for program verification. It provides a natural and effective means for computing separation between the sets of ‘good...
Andrey Rybalchenko, Viorica Sofronie-Stokkermans
126
Voted
ICCAD
2007
IEEE
102views Hardware» more  ICCAD 2007»
15 years 10 months ago
Scalable exploration of functional dependency by interpolation and incremental SAT solving
Functional dependency is concerned with rewriting a Boolean function f as a function h over a set of base functions {g1, …, gn}, i.e. f = h(g1, …, gn). It plays an important r...
Chih-Chun Lee, Jie-Hong Roland Jiang, Chung-Yang H...
121
Voted
APLAS
2011
ACM
14 years 1 months ago
Solving Recursion-Free Horn Clauses over LI+UIF
Verification of programs with procedures, multi-threaded programs, and higher-order functional programs can be effectively auusing abstraction and refinement schemes that rely o...
Ashutosh Gupta, Corneliu Popeea, Andrey Rybalchenk...
109
Voted
JGS
2006
154views more  JGS 2006»
15 years 1 months ago
Area-to-point Kriging with inequality-type data
In practical applications of area-to-point spatial interpolation, inequality constraints, such as non-negativity, or more general constraints on the maximum and/or minimum allowab...
E.-H. Yoo, Phaedon C. Kyriakidis
80
Voted
ICTAI
2008
IEEE
15 years 7 months ago
Finding Good Starting Points for Solving Structured and Unstructured Nonlinear Constrained Optimization Problems
In this paper, we develop heuristics for finding good starting points when solving large-scale nonlinear constrained optimization problems (COPs). We focus on nonlinear programmi...
Soomin Lee, Benjamin W. Wah