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I calculated the average at 11.724, using a matrix inversion program, but I haven't checked my work.
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Several techniques were combined to simplify the original model, reduce its dimensions, decompose it into a number of small subproblems, and replace some parts of non-linear programming by matrix inversion methods.
From matrix inversion lemma [33], the inverse matrix of J is: (21).
The recently proposed Laplacian twin support vector machine (Lap-TSVM) is an excellent nonparallel-based kernel tool for semi-supervised classification problems, where its optimal decision hyperplane is determined by solving two quadratic programming problems (QPPs) with matrix inversion operations.
For all our test cases the time for symbolical matrix inversion was rather short (the total model reduction program time was less than 45 s on a 2.19 GHz PC).
This matrix inversion method should be able to be implemented on a graphics programming unit (GPU) to attain another factor of 10 or more in speed.
The inverse matrix in Equation 32 can be computed according to Strassen's matrix inversion algorithm.
matrix inversion tolerance level.
where −1denotes the matrix inversion.
Fixed point matrix inversion was implemented using LU decomposition and triangular matrix inversion.
where −1 represents the matrix inversion.
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