ENGR 62: Introduction to Optimization (MS&E 111, MS&E 211)
Formulation and computational analysis of linear, quadratic, and other convex optimization problems. Applications in machine learning, operations, marketing, finance, and economics. Prerequisite:
CME 100 or
MATH 51.
Terms: Spr
| Units: 3-4
| UG Reqs: GER:DB-EngrAppSci
Instructors:
Van Roy, B. (PI)
;
Bulchand, S. (TA)
;
Gallegos Ortega, D. (TA)
...
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Instructors:
Van Roy, B. (PI)
;
Bulchand, S. (TA)
;
Gallegos Ortega, D. (TA)
;
Kryvda, I. (TA)
;
Li, X. (TA)
;
Tutar, M. (TA)
ENGR 62X: Introduction to Optimization (Accelerated) (MS&E 111X, MS&E 211X)
Optimization theory and modeling. The role of prices, duality, optimality conditions, and algorithms in finding and recognizing solutions. Perspectives: problem formulation, analytical theory, computational methods, and recent applications in engineering, finance, and economics. Theories: finite dimensional derivatives, convexity, optimality, duality, and sensitivity. Methods: simplex and interior-point, gradient, Newton, and barrier. Prerequisite:
CME 100 or
MATH 51 or equivalent.
Terms: Aut, Win
| Units: 3-4
Instructors:
Saberi, A. (PI)
;
Ye, Y. (PI)
;
Bartan, B. (TA)
;
Hinder, O. (TA)
;
Kollagunta Krishnaswamy, A. (TA)
;
Merrick, J. (TA)
;
Sakshuwong, S. (TA)
;
Song, L. (TA)
;
Wu, C. (TA)
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