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Additional exercises and data for EE364a. No solutions; for public consumption.

Julia 65.95% MATLAB 10.47% Forth 6.90% M 7.53% Limbo 0.08% Objective-C 0.05% Python 9.01%

cvxbook_additional_exercises's Introduction

cvxbook_additional_exercises

This repo contain additional exercises and data files in Python, Julia, and Matlab for Stanford EE364a, Convex Optimization, that do not appear in the book Convex Optimization.

It is updated after each quarter the course is taught, so the exercise numbers can change.

Instructors can request the solutions by emailing the authors. Please include a link to your course.

cvxbook_additional_exercises's People

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cvxbook_additional_exercises's Issues

Julia random number generator changed

Many of the Julia data files were generated pre-1.7. In version 1.7, the default random number generator was changed, so starting with the same seed does not yield the same values post vs. pre-1.7. When I submit updates to the Julia data files, should I use the old (MersenneTwister) or the new default (Xoshiro256++)?

Language update:
https://docs.julialang.org/en/v1.7-dev/NEWS/#Language-changes

Also documented in the top of the Random stdlib docs
https://docs.julialang.org/en/v1/stdlib/Random/

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