| H89-2063 | optimization which we call the Stochastic | Region Contraction | method . This allowed us to get |
| H90-1032 | an algorithm called Stochastic | Region Contraction | for nonlinear optimization problems |
| H90-1033 | realtime due to the use of Stochastic | Region Contraction | \ -LSB- 14 \ -RSB- for the nonlinear |
| H90-1033 | optimization technique , Stochastic | region Contraction | ( SRC ) is shown to yield highly |
| H89-2063 | The second applies stochastic | region contraction | to maximize the power over a |
| H92-1101 | twostage search and our Stochastic | Region Contraction | algorithm for nonlinear optimization |
| H90-1083 | optimization algorithm called Stochastic | Region Contraction | ( SRC ) , has been developed |
| H90-1033 | for application of Stochastic | Region Contraction | ( SRC ) , -LSB- 14 -RSB- , -LSB- |
