Delve into the advanced concepts of interior point methods in optimization with Stanford University's Yinyu Ye in this 49-minute lecture from the Data Structures and Optimization for Fast Algorithms Boot Camp. Explore the continuation of interior point method theory, building upon foundational knowledge to tackle more complex optimization problems. Gain insights into cutting-edge techniques and applications that enhance algorithmic efficiency in various fields of computer science and mathematics.
Optimization: Interior Point Methods - Part 2
Overview
Syllabus
Optimization: Interior Point Methods Part 2
Taught by
Simons Institute
Related Courses
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Optimization Algorithms: Theory and Software Implementation
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Optimization: Interior Point Methods - Part 1
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Convex Optimization
4.9 -
Set-limited Functions and Polynomial-time Interior-point Methods
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Linear programming and its applications to computer science
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A Primal-Dual Interior-Point Algorithm for Nonsymmetric Conic Optimization
