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Presents a practically motivated discussion of nonlinear (global and convex) optimization. It begins with a review of standard models and methods, then moves to a detailed discussion of non-trivial test problems, challenges and real-world applications of interest to a range of scientists, engineers and economists. The author also reviews several integrated model/application development and solver systems and uses these to analyze and solve the models discussed.