Interesting revelations in the optimization world! 🤯 Ever thought big steps could speed up algorithms? This article challenges traditional thinking in #Optimization. Is it time for a change? Share your thoughts! 🚀🧠🌄 #AI #MachineLearning 🌐 https://go.digitalengineer.io/PX
#optimization #ai #machinelearning
Blog: Python embedded in Excel: First impressions
Microsoft recently announced a new Excel feature, Python embedded within Excel. This is great news, as it combines our two favourite tools: Excel and Python.
Since our focus is on optimization modelling, we immediately wondered if it is possible to use a Python library to solve optimization models directly within Excel. Spoiler alert, it is!
In this article, we experiment with building and solving a linear program in Excel using the Python SciPy library.
#Excel #Python #SciPy #optimization #orms
https://www.solvermax.com/blog/python-embedded-in-excel-first-impressions
#orms #optimization #scipy #python #excel
'An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity', by Wei Liu, Xin Liu, Xiaojun Chen.
http://jmlr.org/papers/v24/22-0491.html
#regularization #sparse #optimization
#regularization #sparse #optimization
This looks helpful: https://tysonbarrett.com/tidyfast/ #rstats #optimization
'Entropic Fictitious Play for Mean Field Optimization Problem', by Fan Chen, Zhenjie Ren, Songbo Wang.
http://jmlr.org/papers/v24/22-0411.html
#optimization #neuron #minimizer
#optimization #neuron #minimizer
Do you need better performance than what the standard #tidyverse functions have? {collapse} might be worth a look: https://sebkrantz.github.io/collapse/ #rstats #optimization
#tidyverse #RStats #optimization
Start of an inspiring week in Dagstuhl at the Seminar on Multiobjective Optimization on a Budget. #orms #multiobjective #optimization
#optimization #multiobjective #orms
OPTIMIZATION 📌
optimization is very tedious work, although consonant with the word optimism
Heard a lot of opinions on this topic, many put it off for later... but I try to do it at the beginning of the project. The longer the project takes, the fewer things need to be optimized at the end. The larger the project, the greater the risk that many changes will have to be made
Don't put it off for later 😘
#gamedev #programming #optimization #indiedev #gamedevelopment
#gamedev #programming #optimization #indiedev #gamedevelopment
Came across to an interesting #GitHub bot today!
🍀 **imgbot**: Crawl through all of your image files in GitHub and losslessly compress them.
⭐ GitHub: https://github.com/imgbot/Imgbot
🚀 Example PR: https://github.com/dracula/alacritty/pull/17
#github #image #compression #optimization #opensource
Making Your Python Code Run Faster.
Brandon Rohrer. https://sigmoid.social/@brohrer@recsys.social .
pdf: https://tyr.fyi/6
code: https://github.com/brohrer/how-to-train-your-robot/tree/main/chapter_6
web: https://tyr.fyi
#Python #optimization #amypostspapers
Step-size Optimization for Continual Learning
#optimize #optimization #gradient
Interleaving Multi-Task Neural Architecture Search
I learned a numerical #computing #optimization thing that surprised me.
I had always believed @numpy's matrix multiplication to be so heavily optimized that nothing could touch it. But I discovered that Numba pre-compiling with the parallel=True option is about twice as fast. 😮
Numpy matrix multiply
average time per call: 601 ms
Numba, single-threaded matrix multiply
average time per call: 1776 ms
Numba, parallelized matrix multiply
average time per call: 339 ms
System inefficiencies can make a one-day task take thrice as long. Isolate and optimize these bottlenecks for better productivity. #10xSoftwareDelivery #Optimization
#optimization #10xsoftwaredelivery
Blog: Warehouse optimization: Assessing layouts (Part 2)
In this article we apply the model, as described in Part 1, to a variety of warehouse designs. As a result, we improve the efficiency of the picking process by 33%.
All the code is available, so if you think you can design a better warehouse layout, then please have a go. Let us know what you discover.
https://www.solvermax.com/blog/warehouse-optimization-assessing-layouts
Primer to get you started with Optimization and Mathematical Programming in R https://cran.r-project.org/web/views/Optimization.html #rstats #optimization #mathematicalprogramming
#RStats #optimization #mathematicalprogramming
PGI-12's software [QAOA.jl](https://github.com/FZJ-PGI-12/QAOA.jl) has had an update: it is now also possible to simulate #quantum annealing for combinatorial #optimization problems.
#quantum #optimization #quantumcomputing
Yesterday while stuck in traffic I noticed that the dynamically priced express lanes were nearly empty *and* the price to use them was quite high. This seemed odd, as I thought that if the lanes weren't being used, the price would come down to encourage drivers to use them. It seems like a straightforward optimization problem.
The twist is that the express lanes are privatized, so the operators price the lanes to maximize profit, not, as I had assumed, to optimize traffic flow. This different objective lead to different behavior in the system.
This is a nice, simple example of how every applied math problem depends on many different assumptions, some of which might be hidden from view. It's also a good example of how math can be used to better understand the different approaches to managing public resources.
Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize
#optimization #stochastic #adaptive
Sign Up Form Best Practices: Skyrocket Your App Conversion Rate
Explore the top 5 sign-up page optimization techniques to maximize the signup rate for your apps and grow your user base.
#signup #userexperience #authentication #optimization