### Table A1. Possible Cases for the Kuhn-Tucker Conditions

2002

Cited by 4

### Table VI: Equilibrium results. The Kuhn-Tucker multiplier value for the active constraint is .574 .24 24Since there is only one active contraint, the obtained value is the ratio between the norms of the 29

1996

Cited by 1

### Table 1 The duality of maximum entropy and maximum likelihood is an example of the more general

1996

"... In PAGE 10: ... This result provides an added justi cation for the maximum entropy principle: if the notion of selecting a model p ? on the basis of maximum entropy isn apos;t compelling enough, it so happens that this same p ? is also the model which, from among all models of the same parametric form (10), can best account for the training sample. Table1 summarizes the primal-dual framework wehave established. 3.... ..."

Cited by 614

### Table 1: Finger/Phalangeal contribution for a cylin- drical grip. We have thus formulated the problem of computing hand feedback forces into that of solving a general op- timisation problem de ned by the minimisation crite- rion F2 (eq. 7) subject to constraints given by relations 3, 4, 5. The solution of such a constraint minimisa- tion problem can be obtained by using several meth- ods [12], like for instance the iterative, Kuhn-Tucker method. This is a generalisation of the Langrangian method for constraint minimisation problems contain- ing inequality constraints. For each such constraint,

1997

Cited by 1

### Table 2.2: CO Solutions (system-level sensitivities computed analytically) (5 system variables, 6 Elec ss variables, 6 Thermal ss variables)

1998

### Table 7.2: CO Solutions (40 system variables, 60 SS1 variables, 60 SS2 variables)

1998