New analytical methods for cleaning up the solution of nonlinear equations
โ Scribed by J.-H. He; E.W.M. Lee
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 273 KB
- Volume
- 58
- Category
- Article
- ISSN
- 0898-1221
No coin nor oath required. For personal study only.
โฆ Synopsis
Analytical methods belong to perhaps the most challenging, promising, and 'romantic' area of modern mathematics, and are playing an even more important role in the mathematics and other ramifications of science, prompting a resurgence of interest in the application of modern as well as classical or ancient mathematics to the search for approximate analytical solutions for various real-life nonlinear physical problems. MatLab and other mathematical software give rise to the tantalizing possibility of analytically seeking approximate solutions to specific problems and revealing various features of the series of solutions obtained.
๐ SIMILAR VOLUMES
differential equations of fractional order a b s t r a c t The variational iteration method is widely used in approximate calculation. The main difficulty of the method is to identify the Lagrange multiplier, k, for differential equations of fractional order, especially of high order, where the pro
Stochastic models for the solution of nonlinear partial differential equations are discussed. They consist of a discretized version of these equations and Monte Carlo techniques. The Markov transitions are based on a priori estimates of the solution. To improve the efficiency of stochastic smoothers
The radius of analyticity of periodic analytic functions can be characterized by the decay of their Fourier coefficients. This observation has led to the use of socalled Gevrey norms as a simple way of estimating the time evolution of the spatial radius of analyticity of solutions to parabolic as we