CostNMTE:
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Computes the cost functional for the Nelder-Meade algorithm
for least-squares attitude determination.
Dihedral angles are replaced by trailing edge angles.
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Form:
J = CostNMTE( x, kX, S0, xA, lX )
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Inputs
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x State
kX Subindex for states to be used
S0 Inverse of initial state covariance
xA Initial state
lX Length of the state vector
type1 Type of dihedral angle used for HSA1
type2 HSA2: 'leading' 'trailing' or 'midscan'(default)
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Outputs
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J Cost
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Children:
SAAD: SAAttDet/FXNMTE
