Nonlinear Programming and Variational Inequality Problems

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Focusing on the framework of Cost Approximation, this book consolidates various algorithms related to nonlinear programming and variational inequality problems, revealing their interconnections. It offers an intuitive approach to understanding algorithms through approximating mappings, iterative updates, and a merit function that aids convergence. By providing a detailed yet accessible framework, it allows for easy comparison and relation of multiple algorithms, effectively bridging gaps in existing literature and enhancing the reader's grasp of the field.