Convex Optimization I - Lecture 2
Offered By: Stanford University via YouTube
Course Description
Overview
Explore the second lecture of Stanford's EE364A Convex Optimization I course, delivered by Professor Stephen Boyd in 2023. Dive into advanced concepts of convex optimization, building upon the foundations laid in the first lecture. Gain insights from a leading expert in the field as you delve deeper into mathematical principles and practical applications. Follow along with course materials available on the official website, and consider enrolling in the full course for a comprehensive learning experience. This 1-hour 20-minute session is part of Stanford University's renowned electrical engineering curriculum, offering valuable knowledge for students and professionals alike interested in optimization techniques and their real-world implementations.
Syllabus
Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 2
Taught by
Stanford Online
Tags
Related Courses
Convex OptimizationStanford University via edX FA19: Deterministic Optimization
Georgia Institute of Technology via edX Applied Optimization For Wireless, Machine Learning, Big Data
Indian Institute of Technology Kanpur via Swayam Statistical Machine Learning
Eberhard Karls University of Tübingen via YouTube Convex Optimization
NIOS via YouTube