gagocarrilloedgar Goto Github PK

followers: 54.0 following: 21.0 repos: 134.0 gists: 10.0

Name: Edgar Gago Carrillo

Type: User

Company: @factorialco

Bio: Space Engineer, full-stack developer focused on TS/Python technologies with a strong background in math and data. Exploring AI and Cloud.

Twitter: GagoCarrillo

Location: Barcelona, Spain

Blog: https://factorialhr.com/

Hi 👋, I'm Edgar

A fullstack software engineer

A little more about me...

🔭 I’m currently working in Factorial
🚀 Launching & building Joia
📝 Nice project with custom design system Yume & Repo
🌱 I used daily: SQL, Graphql, TS, Ruby, Rails, MySQL, PSG, TRPC, CSS
👨‍💻 Some of my projects are available at https://itsedgar.vercel.app/projects
📫 How to reach me [email protected]
📄 Know about my experiences https://itsedgar.vercel.app/about

Connect with me:

Edgar Gago Carrillo's Projects

adcs-projects

ADCS & AOCS projects realted to attitude determiantions, quaternions, changes of reference systems, etc

adcs_master

Quaternions, Euler angles and rodrigues paramter transformation library

blogs

Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/

This report is developed with the purpose of giving the student a better understanding of what is turbulence modelling and its analysis. A brief introduction about the Burger's equation and the theories behind the models used later on the report. The study consist in the analysis of the Burger's equation in the Fourier space analysing the behaviour of the total energy as a function of the Reynolds Number [Re], the number of modes [N] and finally the effect of these two on the number of iterations of the model. Finally a comparison between LES [Large Eddy Simulation] and DNS [Direct Numerical Simulation] is made in order to analysis when the increase in computational cost is necessary.