{"id":8630,"date":"2026-08-10T09:58:12","date_gmt":"2026-08-10T09:58:12","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-optimization-basics-2022-5\/"},"modified":"2026-08-10T09:58:12","modified_gmt":"2026-08-10T09:58:12","slug":"udemy-optimization-basics-2022-5","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-optimization-basics-2022-5\/","title":{"rendered":"Udemy \u2013 OPTIMIZATION BASICS 2022-5"},"content":{"rendered":"
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Description<\/h2>\n

OPTIMIZATION BASICS is a course on key concepts, techniques, and methods used to improve performance in various domains, published by Udemy Online Academy. It covers mathematical optimization, linear and nonlinear programming, constraint handling, gradient-based and heuristic approaches, and real-world applications in engineering, business, and machine learning. Students will gain a deep understanding of problem formulation, solution strategies, and performance evaluation for data-driven decision making and system performance enhancement. This course introduces students to the basic concepts of implementing numerical optimization techniques, assuming that students have some prior knowledge of these topics.<\/p>\n

The approach used to teach this optimization course is based on students having a basic understanding of optimization problem formulation, important aspects of various optimization algorithms, and knowledge of how to use programming to solve optimization problems. Lectures in this course include graphical approaches to optimization problems, optimization notation and classification, unconstrained optimization, and constrained optimization. Key points: Learn mathematical optimization, linear and nonlinear programming, constraint handling, gradient-based methods, heuristic approaches, problem formulation, solution strategies, performance evaluation, and real-world applications in engineering, business, and artificial intelligence.<\/p>\n

What you will learn in OPTIMIZATION BASICS:<\/h3>\n