Tyler Chang retweeted
Setup Fortran on the GitHub Actions Marketplace by Sebastian Ehlert lets you easily use Fortran compilers on Linux, macOS, and Windows in CI:
github.com/marketplace/actio…
ParMOO: A Python library for multiobjective simulation optimization (w/ @SciWild) is published in JOSS!
Our 2nd release (v 0.2.0) is on GitHub: github.com/parmoo/parmoo
At Argonne, we use this for expensive design optimization problems, such as material engineering
Just published in JOSS: 'ParMOO: A Python library for parallel multiobjective simulation optimization' doi.org/10.21105/joss.04468
Tyler Chang retweeted
Given the pervasiveness of sensors and #data, derivative-free #optimization is becoming necessary in more and more domains. In SIAM News, @SciWild explores the techniques involved in such problems as well a #materials discovery application. Check it out! sinews.siam.org/Details-Page…
Tyler Chang retweeted
If you aren't familiar with name Sophie Chang, you might be seeing it in record books soon.
The 25yo American scores an impressive upset over Ana Konjuh, 7-6 (5), 3-6, 7-6 (7).
And, if the serve gun is to be believed, ties the fastest ever serve on the WTA tour at 136mph!
Tyler Chang retweeted
ONE WEEK remains to apply for the #DOENNSASSGF. As you’re completing your application, consider checking out our FAQ to ensure your submission includes all of the necessary materials for consideration. krellinst.org/ssgf/how-apply… #nuclearscience #physics @NNSANews @ENERGY
Tyler Chang retweeted
How can an internship at a national lab shape your career? Find out what Isidro Garcia - who graduated @WSUPullman and interned @PNNLab - gained. Applications for the summer term of our Science Undergraduate Laboratory Internships are due Jan 10: science.osti.gov/wdts/suli
For any US-based PhD students in pure or applied mathematics: if you are interested in interning at a National Lab this summer, the NSF MSGI applications are now open. Please help spread the word! orise.orau.gov/nsf-msgi
Tyler Chang retweeted
@kkimopt and I have a new #postdoc opening at @argonne to develop randomized algorithms for massive discrete optimization problems, see: tinyurl.com/4vspvuzr (US citizenship or residency NOT required)
Tyler Chang retweeted
More than two years later, the last chapter of my dissertation is finally published! 😍 dl.acm.org/doi/10.1145/35701… As far as I know, this is now the state-of-the-art for monotonicity preserving spline interpolation software (1D). Fast, reliable, and twice differentiable.😎
Tyler Chang retweeted
📢📢📢 Interested in grad school and cybersecurity? @junxzm and I are launching the Software Security Group (SSG) at @UtahSoC! Come join us to work on fun research projects, compete in CTFs, and hike the beautiful Utah mountains! (RT's appreciated 😃)
softsec.cs.utah.edu/
Tyler Chang retweeted
Postdoc opportunities #AI for science, see aiscience.uchicago.edu/ 10 positions starting Spring 2023,and 10 in the Fall.
Tyler Chang retweeted
The quantum group at the Global Technology Applied Research center at JPMorgan Chase is hiring (summer internship and full time positions available)! We do a lot of exciting fundamental and applied research into quantum algorithms and their applications to financial use cases.
Tyler Chang retweeted
Open postdoc position in optimization at @argonne see argonne.wd1.myworkdayjobs.co…
I just finished helping my former PhD advisor, Layne Watson, upload all of his all numerical software packages to GitHub: github.com/vtopt
These are all published ACM TOMS algorithms, written in modern #Fortran
My dissertation code VTMOP is also available here.
In general, you will find codes for #interpolation, #optimization, and #homotopy methods for solving #nonlinear systems of equations
Is there a way to tell my MacBook to never use clang for any reason ever again, including building Python packages, makefiles, etc? I have the compilers and libraries that I want from brew, and I really don’t want to use the clang version of anything
Tyler Chang retweeted
Was recently asked what are some important theoretical research questions that can be addressed in ML right now, "fundamental" / generally applicable ones. I'll focus in on differentiable compute graphs & optimizers here (neural network training) here are 6 directions:
[1/7]
Tyler Chang retweeted
By chance, I just found these beautiful cheatsheets for Matplotlib with Python: matplotlib.org/cheatsheets/
Might be useful for those of us who struggle remembering how to get Matplotlib to do what we want...
A week late, but wanted to announce the initial release for ParMOO: Python library for parallel multiobjective simulation optimization
w/ @SciWild
Check out our project and leave a star!
GitHub: github.com/parmoo/parmoo
Docs: parmoo.readthedocs.io
PyPI: pip install parmoo




















