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Let r be a vector of range measurements: (3).
The new information state will be a vector of probabilities computed according to the above formula.
Let be a vector of the transmit power of the sensors.
Then let Y = (V | 0000)T be a vector of length n + 4.
Now, let be a vector of length in the th direction for.
Let (x ( t ) in mathbb{R}^{n} ) be a vector of differentiable functions.
Let be a vector of strictly positive integers whose sum is equal to.
Let ω = ω 1, ⋯, ω n ̂ be a vector of n ̂ real numbers.
Let (w(theta )) be a vector of attribute weights for a given value of parameter (theta ).
In our application of this method, we set to be a vector of Gauss coefficients produced from a forecast as defined in Eq. (2).
Let (pi =left( pi _{1},ldots,pi _{n}right) ) be a vector of true MRSs for the public good and (mathbf {Pi }) be its set.
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