Chapter
The Future of Optimization and Data Science Languages
1:07:55 - 1:17:34 (09:38)
The speaker discusses the benefits and drawbacks of having a variety of programming languages for optimization and data science, while also highlighting AMPL, a language for mathematical programming.
Clips
The tech industry has a wide variety of programming languages.
1:07:55 - 1:10:45 (02:49)
Summary
The tech industry has a wide variety of programming languages. While having multiple options may seem beneficial, it can also lead to a divide in communities. However, new languages can bring about innovative ideas that eventually find their way into mainstream languages.
ChapterThe Future of Optimization and Data Science Languages
Episode#109 – Brian Kernighan: UNIX, C, AWK, AMPL, and Go Programming
PodcastLex Fridman Podcast
AMPL is a language for mathematical programming that sets up systems of linear equations and constraints for optimization solutions, allowing users to build their own solvers.
1:10:47 - 1:15:17 (04:30)
Summary
AMPL is a language for mathematical programming that sets up systems of linear equations and constraints for optimization solutions, allowing users to build their own solvers. Developed by Bob Forrer and Dave Gay, AMPL was created for use in industrial engineering and numerical analysis.
ChapterThe Future of Optimization and Data Science Languages
Episode#109 – Brian Kernighan: UNIX, C, AWK, AMPL, and Go Programming
PodcastLex Fridman Podcast
The Ample tool generates models for easy solver execution, allowing for one model to work with multiple data sets across various business applications.
1:15:18 - 1:17:34 (02:15)
Summary
The Ample tool generates models for easy solver execution, allowing for one model to work with multiple data sets across various business applications. Ample also has the capability to provide additional constraints on non-linear models using functions.