摘要

The backward heat equation is a typical ill-posed problem. In this paper, we shall apply a dual least squares method connecting Shannon wavelet to the following equation {u(t)(x,y,t) = u(xx)(x,y,t) + u(yy)(x,y,t), x is an element of R, y is an element of R, 0 <= t < 1, u(x,y,1) = phi(x,y), x is an element of R, y is an element of R. Motivated by Reginska's work, we shall give two nonlinear approximate methods to regularize the approximate solutions for high-dimensional backward heat equation, and prove that our methods are convergent.

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