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WSC
2004
15 years 4 months ago
Solving Stochastic Mathematical Programs with Complementarity Constraints Using Simulation
Recently, simulation-based methods have been successfully used for solving challenging stochastic optimization problems and equilibrium models. Here we report some of the recent p...
S. Ilker Birbil, Gül Gürkan, Ovidiu List...
CP
2006
Springer
15 years 7 months ago
Approximability of Integer Programming with Generalised Constraints
We study a family of problems, called Maximum Solution, where the objective is to maximise a linear goal function over the feasible integer assignments to a set of variables subjec...
Peter Jonsson, Fredrik Kuivinen, Gustav Nordh
NCA
2008
IEEE
15 years 3 months ago
Neurodynamic programming: a case study of the traveling salesman problem
The paper focuses on the study of solving the large-scale traveling salesman problem (TSP) based on neurodynamic programming. From this perspective, two methods, temporal differenc...
Jia Ma, Tao Yang, Zeng-Guang Hou, Min Tan, Derong ...
CDC
2008
IEEE
206views Control Systems» more  CDC 2008»
15 years 10 months ago
Approximate dynamic programming using support vector regression
— This paper presents a new approximate policy iteration algorithm based on support vector regression (SVR). It provides an overview of commonly used cost approximation architect...
Brett Bethke, Jonathan P. How, Asuman E. Ozdaglar
124
Voted
TOPLAS
2002
98views more  TOPLAS 2002»
15 years 3 months ago
Data abstraction and information hiding
traction and information hiding K. RUSTAN M. LEINO and GREG NELSON Compaq Systems Research Center er describes an approach for verifying programs in the presence of data abstractio...
K. Rustan M. Leino, Greg Nelson