Bertsekas Dimitri. Convex Analysis and Optimization [PDF] - Все для студентаDimitri Panteli Bertsekas b. Bertsekas was born in Greece and lived his childhood there. He studied for five years at the National Technical University of Athens , Greece a time that, by his account, was spent mostly in playing poker and chess , and dating his future wife Joanna and studied for about a year and a half at The George Washington University , Washington, D. S in Electrical Engineering in , and for about two years at MIT , where he obtained his doctorate in system science in He is known for his research work, and for his seventeen textbooks and monographs in theoretical and algorithmic optimization and control , and in applied probability. He is featured among the top most cited computer science authors in the CiteSeer search engine academic database  and digital library; see also his Google Scholar citations. In the late 90s Bertsekas developed a strong interest in digital photography.
Extended Monotropic Programming and Duality
Athena Scientific, The rapid advancements in the efficiency of digital computers and the evolution of reliable software for numerical computation during the past three decades have led to an astonishing growth in the theory, methods, and algorithms of numerical optimization. This body of knowledge has, in turn, motivated widespread applications of Boston: Athena Scientific, This book, developed through class instruction at MIT over the last 15 years, provides an accessible, concise, and intuitive presentation of algorithms for solving convex optimization problems.
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Office Hour: Make appointment through email. This course is focused on learning to recognize, understand, analyze, and solve unconstrained and constrained convex optimization problems arising in engineering fields. Courtesy warning: The course is intended for students who wish to gain an in-depth understanding of the convex analysis, modern disciplined convex programming, and hence places emphasis on theory and rigorous proofs. Students are expected to have strong knowledge of linear algebra, real analysis, and multivariate calculus. Past Lecture Notes.