Sentence examples for matrices equal to from inspiring English sources

and co-variance matrices equal to Q=0.2I and R=I.

Since we consider K methods we end up with K method-specific square matrices Z 1, …, Z K. We set the diagonal entries of the matrices equal to performance estimates obtained with 4-fold CV in each dataset.

The input for the CIA analysis was two matrices equal to n × p, where n = sample number and p = number proteins/mRNA potentially targeted by the miRNAs of interest.

The flutter loads follow by setting the frequency derivative of the determinant of this matrix equal to zero; the energetic interpretation of this latter is also given.

S L, S N, and S R are N×N sub-matrices equal to either 0 or I such that S maps the set of all possible frequencies of interest ω to (boldsymbol {hat omega }) employed for notch filter design.

That estimator is asymptotically normal with a covariance matrix equal to the inverse of the information matrix.

Yet the commutant allows us to infer a unique maximal Lie algebra contained in su ( k ), which is (up to an identity matrix) equal to the double commutant of, but in general not to itself.

So this leads to a unidentifiable parametrization, the measured data should always be regarded to consist on only the noise with a covariance matrix equal to that of the observed samples.

We assumed a normal distribution for both error terms with a covariance matrix equal to 0. The data were also stratified into nine strata defined by leading species and categorized by soil moisture regime from our spatial inventory information.

where (mathbf {H}_{k}=mathbf {H}(hat {mathbf {x}}_{k-1})) is the Jacobian of the measurement functions at iteration k and W is the weighting matrix, equal to the inverse of Σ z.

Since elements a ij of stiffness matrix include products of linear terms corresponding to cross-sectional areas, the determinant can be simplified as left| {mathbf{K}} right| = f(A^{n} ), (23 where f(A n ) is an n-order polynomial of cross-sectional area variables A, and n is the order of the stiffness matrix, equal to the DOF of the structure system.