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I do not own the video. Original: http://stellar.mit.edu/S/course/6/sp15/6.045/

Lecture from the Approximation Algorithms course at University of Copenhagen. Based on the textbook by Williamson and ...

Lecture 12: Distributed Transactions MIT 6.824: Distributed Systems (Spring 2020) https://pdos.csail.mit.edu/6.824/

This is the eleventh lecture in the IMPRS Ringvorlesung, the advanced graduate course at the Max Planck Institute for ...

Recorded 22 May 2025. Jason Altschuler of the Massachusetts Institute of Technology presents "Near-Linear Runtime for a ...

Slack Variables PLUS The Dual (Duality) Linear Programming: Introduction CORRECTION: if the primal has m variables and n ...

MIT Dean for Digital Learning Krishna Rajagopal shares how OpenCourseWare has been an important resource during the ...

El Centro de Investigación Operativa de la UMH de Elche acogió el 20 de noviembre de 2015 esta conferencia del profesor Philip ...

The Computer Science Distinguished Lecture Series is proud to present Ronitt Rubinfeld, Professor of Electrical Engineering and ...

Highlights 📈 Optimizing business through simulation 👷‍♂️ Streamlining processes 🌎 Understanding supply chain dynamics ...

Week 11: Lecture 22: Interior point methods for linear programming.

Solving problems for the final exam in SC0x as part of the MITx MicroMasters program in SCM. https://mm.mit.edu/scm.

Stefanie Jegelka, Professor at MIT, presents recent work on robust machine learning via robust optimization.

Problems from Practice.

You can find the lecture notes and exercises for this lecture at https://missing.csail.mit.edu/2020/course-shell/ Help us caption ...

Lecture 9: More Replication, CRAQ MIT 6.824: Distributed Systems (Spring 2020) https://pdos.csail.mit.edu/6.824/

Lecture one in Harvard CS229r / MIT 6.S898 "Proofs, beliefs and algorithms through the lens of Sum of Squares" Harvard CS229r ...

In this lecture, Dr. Bell discusses string manipulation, guess-and-check algorithms, approximate solution methods, and bisection ...

Harvard Applied Math 205 is a graduate-level course on scientific computing and numerical methods. This video continues the ...

Sensitivity theorem, KKT Theorem.