Exploring Extended Precision Jeffrey Sarnoff Juliacon 2018
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- In this talk, we describe a Julia implementation of RipQP, a regularized interior-point method for convex quadratic optimization.
- Visit http://julialang.org/ to download Julia. Time Stamps: 00:00 Welcome! 00:10 Help us add time stamps or captions to this video!
- Abstract: We take stock of Julia and its ecosystem. The releases since 1.0 have been less major and non-breaking—which has ...
- Abstract: Julia is homoiconic: it represents its own code as a data structure of the language itself. Since code is represented by ...
- DoubleFloats.jl offers performant types, Double64 and Double32, with twice the
In-Depth Information on Extended Precision Jeffrey Sarnoff Juliacon 2018
This is an introduction to a new Julia package for Visit http://julialang.org/ to download Julia. Time Stamps: 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! Visit http://julialang.org/ to download Julia. Time Stamps: 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! Representing Small Floats for Machine Learning by
I will explain how equalities and inequalities in Julia work across different numeric types.
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