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We next apply these methods for problems in spectrum estimation, prediction, and filtering.
The method is also suitable as an alternative to other moving mesh methods for problems in deforming domains.
Unfortunately, presumably because nonlinearity and inequation simultaneously exist, the research on meshless methods for problems with nonlinear inequality constraints is scarce.
Developments in numerical methods for problems governed by nonlinear partial differential equations underpin simulations with sound arguments in diverse areas of science and engineering.
Finally, some potential applications of the acceleration methods for problems with large scale computations in the ocean and coastal engineering are introduced.
In particular, reduced sequential quadratic programming methods for problems with only few influence variables and simultaneous quadratic programming iterations are discussed.
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At Bletchley Park, Turing illustrated his ideas on machine intelligence by reference to chess a useful source of challenging and clearly defined problems against which proposed methods for problem solving could be tested.
In recent years, many numerical methods for problem (1.1) with smooth mapping F have been proposed.
Distributed methods for problem P1 for multiple-input and single-output (MISO) multicell wireless systems have been proposed in[11 15].
Methods for problem decomposition, scalarization and relaxation are proposed and optimization procedures for the decomposed problem are discussed.
Both staff and students strongly disagreed with the statement that providing methods for problem solving hinder creativity ('No' response: 91% of staff vs. 80.4% of students).
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