University at Buffalo 3 credits Management Operations Analysis
Optimization models and techniques are ubiquitous in the age of machine learning and predictive model training. Modern versions of these models and other commercial solvers handle a wider range of problems, including convex, integer, and quadratic non-convex problems, and emphasize model reformulation using optimization theory concepts like duality and decomposition. This course will cover the key foundations of optimization, including the theory and applications of convex and discrete optimization. It is designed for Ph.D. students who want to learn about optimization techniques and understand a few fundamentals for use in practical applications.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.