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The Objective Function
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adjoint variables algorithm allowed batch Batch distillation boundary conditions catalyst catalytic reformer chapter Chemical Reactors coefficients Combining Equations component COMPUTE L2 Consider constant constraints control variables corresponding cost cycloparaffin Dartmouth BASIC DATA derivatives dynamic programming equal example expression extremum feasible solution feed FIBONACCI following problem given GOSUB Hence Hessian matrix imbedding indicated initial INLET investment iteration known Lagrange multiplier Lagrangian linear programming machine matrix maximize maximum profit maximum return method minimize minimum nth stage objective function obtained octane operation optimization problem optimum OUTLET oxygen concentration period plant presented in Fig PRINT problem statement procedure reactor RECYCLE reference region relationship Reprinted by permission Section sequential shown in Fig slack variables solution space solved solvent stationary point steepest ascent step stream Subject Table technique unimodal function xenon Xu X2 yields zero