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Deadline Sirf 24 Ghante is a 2006 Hindi crime thriller film starring Konkona Sen Sharma, Irfan Khan, and Rajit Kapur.
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Based on the progressiveness of the time and space region, first we introduce the globally applicable methods which are carried out independently in each sub-region. Then we come to the locally applicable methods that must be carried out along the time and space direction.

In the former case, Lagrange multiplier method proposed by Lloyd [@Lag] and gradient based method proposed by Kiefer [@Kie] are two representative methods. They always work well but the iteration is generally slow, particularly in finding critical points. The optimization is general but needs the initial point. However, in many applications, we can only obtain one initial point and the parameters are not known either. Specially for Lagrangian method, another commonly used method is Newton-Raphson method [@NR], which is not sensitive to the initial point. In fact, the Euler-Lagrange equations are usually nonlinear and linearization could be a problematic. In most of cases, a standard linearization technique is to replace the functions by their tangent first derivatives, but this linearization is only acceptable in certain cases. To deal with the nonlinearity of the Euler-Lagrange equations, Newton-Raphson method is an effective way to solve the optimization problem in finding critical points [@NR; @Bor].

There are two advantages for the method discussed in this paper. First, to a good approximation, the theory has been shown that the parameter domain can be covered by $n$ linear sub-regions. One only needs to calculate the solution at $n$ inner nodes and interpolate it to the domain boundary which makes this method well suited for
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