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And some optimized strategies for reducing the number of function evaluations and matrix operations are also suggested.
Firstly, several matrix operations are introduced to compute set approximations and reducts of a covering information system.
Granularity is substantially refined as block matrix operations are carried out in a true element-wise approach.
However, unlike the backpropagation (BP), many matrix operations are needed for the EKF algorithm and therefore greatly increase the computational complexity.
Three algorithms which only involve matrix operations are proposed to assign values to the structure matrices of the observer B and the control unit F. In the framework of the STP of matrices, a new algebraic expression for the dynamics of the separated closed-loop system is established and we can easily verify the results of the model matching problem.
In fact, the matrix operations are essentially the multiplications and the additions between elements.
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Consequently, the matrix corresponding to the actual placement of the object in the second system must be pre-multiplied by the transformation matrix M. Iteration over large points sets as well as performing matrix operations is very time-consuming.
Early matrix theory had limited the use of arrays almost exclusively to determinants and Arthur Cayley's abstract matrix operations were revolutionary.
The UIF is employed to approximate the optimum importance function due to its simplicity, by which the matrix operation is the state information matrix rather than the covariance matrix of the measurement sequence.
To obtain a reduced nonlinear model from nodal space, a standard modal reduction procedure based on matrix operation is developed with essential geometric stiffening nonlinearities retained in the equation of motion.
Then the covariance matrix operation is performed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com