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AMAI
2006
Springer
15 years 4 months ago
Symmetric approximate linear programming for factored MDPs with application to constrained problems
A weakness of classical Markov decision processes (MDPs) is that they scale very poorly due to the flat state-space representation. Factored MDPs address this representational pro...
Dmitri A. Dolgov, Edmund H. Durfee
CCE
2006
15 years 4 months ago
An efficient algorithm for large scale stochastic nonlinear programming problems
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
Y. Shastri, Urmila M. Diwekar
CORR
1999
Springer
124views Education» more  CORR 1999»
15 years 3 months ago
An Algebraic Programming Style for Numerical Software and its Optimization
The abstract mathematical theory of partial differential equations (PDEs) is formulated in terms of manifolds,scalar fields, tensors, and the like, but these algebraic structures a...
T. B. Dinesh, Magne Haveraaen, Jan Heering
AOSD
2007
ACM
15 years 8 months ago
A static aspect language for checking design rules
Design rules express constraints on the behavior and structure of a program. These rules can help ensure that a program follows a set of established practices, and avoids certain ...
Clint Morgan, Kris De Volder, Eric Wohlstadter

Book
270views
16 years 12 months ago
A Field Guide To Genetic Programming
"GP is a systematic, domain-independent method for getting computers to solve problems automatically starting from a high-level statement of what needs to be done. Using ideas...
Riccardo Poli, William B. Langdon, Nicholas Freit...