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One of our methods is designed for general interface problems with variable but discontinuous coefficient.
Since none of the above methods is designed specifically for use with ICA, another direction of research is a better use of the statistical information gathered during source separation.
This type of direct search methods is designed for characterizing the decision making process where the players' objective functions are not analytically available.
A self-adaptive algorithm, based on the projection and boundary integral methods, is designed and analyzed for frictionless contact problems in linear elasticity.
The proposed family of strong predictor corrector Euler Maruyama methods is designed to overcome the propagation of errors during the simulation of an approximate path.
Based on the block-triangular product approximation to a 2-by-2 block matrix, a class of hybrid preconditioning methods is designed for accelerating the MINRES method for solving saddle-point problems.
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The methods were designed by IT, JS, and KH.
Our methods are designed to be used with whatever data the analyst has available.
These impairments are normally ignored when multiple-input multiple-output (MIMO) signaling methods are designed.
Usually multipath routing methods are designed only for enhancement of reliability and not guaranteed transmission.
d2o's array copy methods were designed to avoid as much Python overhead as possible.
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