Advances in Optimization and Numerical Analysis

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The papers presented here give a good overview of several topics including interior point and simplex methods for linear programming problems, new methods for nonlinear programming, results in non-convex linear complementarity problems and non-smooth optimization. There are several articles dealing with the numerical solution of diffusion-advection equations. This work is designed for researchers and postgraduate students in optimization, partial differential equations and modelling.