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The proposed technique is designed to assume that the constraints are followed, since the constraints are consistent for every forgery situation involving stereoscopic images.
In order to ensure Assumption 4, we assume that the constraints from passive wheels are removed when that link is contacting an object or a wall, for example.
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Assume that the constraint qualification (1) is satisfied for h at x ∗.
Assume that the constraint of main lobe maintenance at time index t is (hat {mathbf {a}}left (t right)).
We assume that the constraint on the control is an obstacle such that K= bigl{ uin U: u x,t geq0, mbox{a.e. in } Omegatimes J bigr}.
In fact, we assume that the constraint G has the form G ( t, x, y ) = g ( A ( t ) x, B ( t ) y ), where g : R m × R s → R s is C ∞, and the square-matrix-valued maps A : R → O ( R m ) and B : R → GL ( R s ) are continuous.
The proposed method has a limitation: it assumes that the constraints are independent; however, biased measurements can violate this assumption.
Further, it is assumed that the constraints C 1 can be separated into two parts as shown in Eq. (5): C_{1} = C varTheta ) + D varPhi ) (5 For the computation of the forces of constraint Γ1, it is necessary to differentiate equation (5) twice with respect to time.
We assumed that the constraints on the HCNSs in the same bin (class of length) were equal.
Lemma 1. Assume that constraint (6) is added to the ILP formulation above.
This shows that assuming that the constraint is not saturated, the equations lead to.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
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CEO of Professional Science Editing for Scientists @ prosciediting.com