So You Think You Know How to Take Derivatives? | Steven Johnson | ASE60 Published 2023-09-11 Download video MP4 360p Recommendations 31:36 The Special Math of Translating Theory to Software in Differential Eqs | Chris Rackauckas | ASE60 51:16 Why can't you multiply vectors? 27:14 What is Jacobian? | The right way of thinking derivatives and integrals 57:42 Lecture 1 Part 1: Introduction and Motivation 06:42 How to Plot in Julia 05:28 Chris Lattner on Julia programming language | Lex Fridman Podcast Clips 1:03:55 Keynote: Dr. Stephen Wolfram | ASE60 50:03 State of Julia | Valentin Churavy, Jameson Nash, Tim Holy | JuliaCon 2023 38:11 Lecture 36: Alan Edelman and Julia Language 38:32 Julia: Workflow Tips, and What is New in v1.9 | 2nd DigiWell Julia Seminar 2023 22:27 45 Computer Languages Compared: Which is FASTEST? 34:48 What is a Discrete Fourier Transform? | Week 14 | MIT 18.S191 Fall 2020 | Grant Sanderson 25:47 Matrix exponentials, determinants, and Lie algebras. 32:06 Secret Kinks of Elementary Functions 50:14 Intro to the Zig Programming Language • Andrew Kelley • GOTO 2022 13:00 How AI Discovered a Faster Matrix Multiplication Algorithm 16:25 Michael Tiemann - Julia solves the 2 language problem, however it creates the 1.5 language problem 48:28 Lecture 1 Part 2: Derivatives as Linear Operators Similar videos 30:07 so you think you can take the derivative??? 31:22 Elimination and Factorization | Gil Strang | ASE60 31:00 Graphs, Matrices, and Programming: There and Back Again | John Gilbert | ASE60 25:58 Alan, Julia and Climate | Raffaele Ferrari | ASE60 25:33 [08x06] Calculus using Julia Automatic Differentiation | ForwardDiff.jl, ReverseDiff.jl and Pluto 07:43 Mo Bitar - Rust vs Julia in scientific computing 2:58:42 Introduction to metaprogramming in Julia | Workshop | JuliaCon 2021 1:10:58 Matrix Calculus 2020 04 16 for MIT Linear Algebra 18.06 Spring 2020 (Alan Edelman) 28:49 Predictive Uncertainty Quantification in Machine Learning | Patrick Altmeyer | JuliaCon 2023 More results