Data processing: artificial intelligence – Adaptive system
Reexamination Certificate
2006-04-11
2006-04-11
Hirl, Joseph P. (Department: 2129)
Data processing: artificial intelligence
Adaptive system
C706S012000, C706S046000
Reexamination Certificate
active
07028016
ABSTRACT:
One embodiment of the present invention provides a system that solves an unconstrained interval global optimization problem specified by a function ƒ, wherein ƒ is a scalar function of a vector x=(x1, x2, x3, . . . xn). The system operates by receiving a representation of the function ƒ, and then performing an interval global optimization process to compute guaranteed bounds on a globally minimum value ƒ* of the function ƒ(x) and the location or locations x* of the global minimum. While performing the interval global optimization process, the system deletes all of part of a subbox X for which ƒ(x)>ƒ_bar, wherein ƒ_bar is the least upper bound on ƒ* that has been so far found. This is called the “ƒ_bar test”. The system applies term consistency to the ƒ_bar test over the subbox X to increase that portion of the subbox X that can be proved to violate the ƒ_bar test.
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Hansen Eldon R.
Walster G. William
Hirl Joseph P.
Park Vaughan & Fleming LLP
Sun Microsystems Inc
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