2026-27 Fall
IOTA5501 · L01
CUI, Ying
3 Credits · Class #6390 · Reference Capacity 40
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IOTA5501
Convex and Nonconvex Optimization I
Information Hub / Internet of Things · 3 Credits
This course covers fundamental theory, algorithms, and applications for convex and nonconvex optimization, including: 1) Theory: convex sets, convex functions, optimization problems and optimality conditions, convex optimization problems, geometric programming, duality, Lagrange multiplier theory; 2) Algorithms: disciplined convex programming, numerical linear algebra, unconstrained minimization, minimization over a convex set, equality constrained minimization, inequality constrained minimization; 3) Applications: approximation (regression), statistical estimation, geometric problems, classification, etc.
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3 Credits
官方数据更新时间: 2026-08-28 05:35:00
背景: Good knowledge of calculus and linear algebra, and exposure to probability. Exposure to communications, signal processing, automatic control, and machine learning is helpful but not required. Capable of reading and dissecting scientific papers.
历史目录与其他学期
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Good knowledge of calculus and linear algebra, and exposure to probability. Exposure to communications, signal processing, automatic control, and machine learning is helpful but not required. Capable of reading and dissecting scientific papers.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Good knowledge of calculus and linear algebra, and exposure to probability. Exposure to communications, signal processing, automatic control, and machine learning is helpful but not required. Capable of reading and dissecting scientific papers.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Good knowledge of calculus and linear algebra, and exposure to probability. Exposure to communications, signal processing, automatic control, and machine learning is helpful but not required. Capable of reading and dissecting scientific papers.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Good knowledge of calculus and linear algebra, and exposure to probability. Exposure to communications, signal processing, automatic control, and machine learning is helpful but not required. Capable of reading and dissecting scientific papers.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Good knowledge of calculus and linear algebra, and exposure to probability. Exposure to communications, signal processing, automatic control, and machine learning is helpful but not required. Capable of reading and dissecting scientific papers.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Good knowledge of calculus and linear algebra, and exposure to probability. Exposure to communications, signal processing, automatic control, and machine learning is helpful but not required. Capable of reading and dissecting scientific papers.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: Good knowledge of calculus and linear algebra, and exposure to probability. Exposure to communications, signal processing, automatic control, and machine learning is helpful but not required. Capable of reading and dissecting scientific papers.