peterdsharpe/AutoDiffUncertaintyOptimization

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Created almost 5 years ago
Updated almost 5 years ago

peterdsharpe/AutoDiffUncertaintyOptimization

peterdsharpe

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Testing out some ideas to optimize under uncertainty using automatic differentiation.

AeroSandbox

Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.

Jupyter Notebook

NeuralFoil

NeuralFoil is an airfoil aerodynamics analysis tool using physics-informed machine learning, in pure Python/NumPy.

AeroSandbox-Interactive-Demo

An interactive demo of AeroSandbox, powered by Dash

Automotive-Airfoil-Design

Automotive airfoil design app, powered by AeroSandbox and Dash

PotentialFlowVisualizer

A fun, lightweight tool to visualize potential flows quickly!

air-racing-optimization

Trajectory Optimization for Low-Altitude Air Racing

prettymaps

Pretty maps of areas of interest

transport-aircraft

AeroSandbox models for commercial transport aircraft

DawnDesignTool

Dawn Design Tool

covid-hotspots

An interactive web-based map of current U.S. COVID-19 hotspots

solar-seaplane-preliminary-sizing

Preliminary sizing of a 13' solar-powered seaplane for MIT 16.821 teaching

Feather-RC-Glider

Design & optimization of Feather, an ultra-lightweight 1-meter hand-launched RC glider

Wind_Analysis

Statistical models of wind and other atmospheric dynamics

StockMarketAnalysis

Futility can be fun sometimes

Jupyter Notebook

CylinderDragFits

A proper curve fit for both sub- and supercritical cylinder flows

better-biobot-boston

Better visualization of Biobot's COVID-19 data

Falkner-Skan

A few short, well-commented functions for solving the Falkner-Skan boundary layer equations in Python.

mirror-array

Math used to create a mirror array that reflects light into a coherent image.

mit-free-food-timing

Data on Free Food at MIT

optimization-methods

Toy implementations and illustrations of various optimization algorithms. Written as a pedagogical exercise; shared in hopes they can serve the same purpose for others.

masters-thesis

Jupyter Notebook

Neural-PDEs

Approximating PDE solutions with Neural Networks

peter-ipython-terminal

A simple scratch terminal, powered by IPython and integrated with WolframAlpha and SymPy, that I use for quick calculations.

peterdsharpe.github.io

https://peterdsharpe.github.io

E-Bike

Code for designing an optimized electric bike + CAD of the bike

KSP-Homing-Missile

aircraft-polar-reconstruction-from-flight-test

Rigorous procedures for reconstruction of aerodynamic and propulsive performance from a minimal set of flight-test data

Jupyter Notebook