Simplex method derivative-free

The steep concentration and temperatui-e profiles in the integral reactor did not allow to determine the reaction rates imm.ediately. Therefore, the objective function contains the measured and the calculated concentrations instead of the reaction rates, also the temperatures because of the nonisothermal reactor behaviour. The kinetic parameters must be obtained by direct search techniques like the derivative free simplex method of Nelder and Mead. 

The Simplex algorithm and that of Powell s are examples of derivative-free methods (Edgar and Himmelblau, 1988 Seber and Wild, 1989, Powell, 1965). In this chapter only two algorithms will be presented (1) the LJ optimization procedure and (2) the simplex method. The well known golden section and Fibonacci methods for minimizing a function along a line will not be presented. Kowalik and Osborne (1968) and Press et al. (1992) among others discuss these methods in detail. 

Much of this progress has been centered around the discovery that energy derivatives can often be explicitly evaluated [3-7], freeing potential energy searches from inefficient minimization algorithms such as uniaxial methods, simplex methods and even numerical derivative methods [8]. 

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