About the Book: This concise text presents key foundations of optimization theory, focusing on objective functions with equality and inequality constraints. It covers nonlinear programming, Lagrange multipliers, Karush–Kuhn–Tucker and Fritz John conditions, convex and quasi-convex problems, and linear programming via geometric and simplex methods. Designed for advanced undergraduates, graduates, and interdisciplinary researchers.