SINADR
In numerical analysis and applied mathematics, sinc numerical methods are numerical techniques[1] for finding approximate solutions of partial differential equations and integral equations based on the translates of sinc function and Cardinal function C(f,h)which is an expansion of f defined by
where the step size h>0 and where the sinc function is defined by
Sinc approximation methods excel for problems whose solutions may have singularities, or infinite domains, or boundary layers.
Sinc numerical methods cover
- function approximation,
- approximation of derivatives,
- approximate definite and indefinite integration,
- approximate solution of initial and boundary value ordinary differential equation (ODE) problems,
- approximation and inversion of Fourier and Laplace transforms,
- approximation of Hilbert transforms,
- approximation of definite and indefinite convolution,
- approximate solution of partial differential equations,
- approximate solution of integral equations,
- construction of conformal maps.
Indeed, Sinc are ubiquitous for approximating every operation of calculus
In the standard setup of the sinc numerical methods, the errors (in big O notation) are known to be with some c>0, where n is the number of nodes or bases used in the methods. However, Sugihara[2] has recently found that the errors in the Sinc numerical methods based on double exponential transformation are with some k>0, in a setup that is also meaningful both theoretically and practically and are found to be best possible in a certain mathematical sense.
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My blog: http://www.primaboinca.com/view_profile.php?userid=5889534
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