Generalized Quasilinearization for Nonlinear Problems
2013년 3월 · Mathematics and Its Applications 440권 · Springer Science & Business Media
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Explains a method for approximating nonlinear problems that grew out of the theory of dynamic programming and combines linear approximation techniques with the capabilities of digital computers in various adroit fashions. Develops generalized quasilinearization to first- order initial-value problems, systems with initial conditions, periodic and anti-periodic boundary value problems, higher order of convergence, and other contexts. Then moves on to second-order boundary value problems and extensions to a variety of differential equations such as delay, stochastic, integro-differential, differential equations in a Banach space, and dynamic systems on a time scale. Includes the well known monotime iterative technique as a special case. Of interest to engineers and researchers in any of the many fields that deal with nonlinear problems. Annotation copyrighted by Book News, Inc., Portland, OR.
Explains a method for approximating nonlinear problems that grew out of the theory of dynamic programming and combines linear approximation techniques with the capabilities of digital computers in various adroit fashions. Develops generalized quasilinearization to first- order initial-value probl...
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