matrix equation वाक्य
उदाहरण वाक्य
मोबाइल
- When the regression is expressed as a matrix equation, the matrix of regressors then consists of a column of ones ( the constant term ), vectors of zeros and ones ( the dummies ), and possibly other regressors.
- In linear-quadratic-Gaussian control, there arises a nonlinear matrix equation for the reverse evolution of a current-and-future-cost " matrix ", denoted below as " H ".
- More generally, the term "'Riccati equation "'is used to refer to matrix equations with an analogous quadratic term, which occur in both continuous-time and discrete-time linear-quadratic-Gaussian control.
- This research accomplishment was awarded the first Cray GigaFLOP Performance Award at Supercomputing'89 . This code evolved into NASA's General-Purpose Solver ( GPS ) for Matrix Equations used in numerous finite element codes to speed solution time.
- Then if and only if the rank of the augmented matrix [ " A " | " b " ] is also 2, there exists a solution of the matrix equation and thus an intersection point of the " n " lines.
- :Alright, I decided to drastically simplify the problem and made a whole bunch of assumptions . . . I end up with a matrix equation that looks like this : exp ( 7 C ) = ( A + B )-1 ( B-A ).
- The spectral domain method has one very important advantage over other strictly numerical-solutions to Maxwell's equations for FSS . And that is that it yields a matrix equation of very small dimensionality, so it is amenable to solution on virtually any type of computer.
- The dimension of these matrix equations is technically infinite, but by ignoring all contributions that correspond to an angular momentum quantum number l greater than { l _ { \ max } }, they have dimension { \ left ( + 1 } \ right ) ^ 2 }.
- Like the MFS and BEM, the SBM will produce dense coefficient matrices, whose operation count and the memory requirements for matrix equation buildup are of the order of " O " ( " N " 2 ) which is computationally too expensive to simulate large-scale problems.
- Other ways to optimize Dixon's method include using a better algorithm to solve the matrix equation, taking advantage of the sparsity of the matrix : a number " z " cannot have more than \ log _ 2 z factors, so each row of the matrix is almost all zeros.
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