Pinned Repositories
BeautifulAlgorithms.jl
Concise and beautiful algorithms written in Julia
Cone-Embedded-Hemisphere
A geometric puzzle.
coupled_physics_1d
Solving non-linear coupled partial differential equations using finite differences, and explicit/implicit time stepping schemes in 1D.
drone_swarm_trajectory_optimization_deepRL
FEM_temp_distribution
Temperature distribution described by elliptic heat equation solve with Bubnov-Galerkin Finite Element Method in Python Jupyter Notebook.
GaussianProcess
My in-house Gaussian Process code for machine learning
heatEquation_VOXEL
Finite difference method over "Voxelated" mesh of metal-particle embedded polymer.
ugap_bopt
Bayesian Optimization for UV-curable materials
ugap_simulation
Multi-physics simulation in 3D of urethane grafted acrylate polymer resins with particle additives
voxel_HeatEquation_diffusion
Solution engine for heat distribution and diffusion in particle embedded fluids.
bmhowell's Repositories
bmhowell/voxel_HeatEquation_diffusion
Solution engine for heat distribution and diffusion in particle embedded fluids.
bmhowell/coupled_physics_1d
Solving non-linear coupled partial differential equations using finite differences, and explicit/implicit time stepping schemes in 1D.
bmhowell/drone_swarm_trajectory_optimization_deepRL
bmhowell/FEM_temp_distribution
Temperature distribution described by elliptic heat equation solve with Bubnov-Galerkin Finite Element Method in Python Jupyter Notebook.
bmhowell/ugap_bopt
Bayesian Optimization for UV-curable materials
bmhowell/ugap_simulation
Multi-physics simulation in 3D of urethane grafted acrylate polymer resins with particle additives
bmhowell/BeautifulAlgorithms.jl
Concise and beautiful algorithms written in Julia
bmhowell/Cone-Embedded-Hemisphere
A geometric puzzle.
bmhowell/GaussianProcess
My in-house Gaussian Process code for machine learning
bmhowell/heatEquation_VOXEL
Finite difference method over "Voxelated" mesh of metal-particle embedded polymer.
bmhowell/homework_fall2022
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)
bmhowell/initializeParticlesCPP
bmhowell/manim_092018
I should have forked this at the time, but I didn't. This is meant to be a fork of the September 2018 version of Grant Sanderson's Manim package. There are some minor edits that I have made, but should not interfere with the functionality of the package.
bmhowell/PHYSICS288_hw4
bmhowell/numerical_computing_tools
Ongoing transcription of my notes from graduate school
bmhowell/research-group-web
a template for research group sites
bmhowell/Robust-portfolio-optimization-models
My personal notes.