Mathematical optimization

Links

• Convex Optimization – Boyd and Vandenberghe book
• Convex Optimization I course
• More Descent, Less Gradient (2020) (HN)
• Bayesian Optimization - Pure Python implementation of bayesian global optimization with gaussian processes.
• Exploring Bayesian Optimization (2020)
• STOKE - Stochastic superoptimizer and program synthesizer. (HN)
• SE-Sync - Implementation of the SE-Sync algorithm for synchronization over the special Euclidean group.
• Optimization: An Introduction (2006) (HN)
• Selected Topics in Mathematical Optimization, now in Julia
• Ask HN: Literature for mathematical optimization? (2021)