thowell

# Copyright [2024] Taylor Howell
# Linear independence constraint qualification (LICQ)

import numpy as np

# problem setup:
# minimize   0.5 x' P x + q' x
# subject to     A x = b

# Lagrangian

thowell

# %%
# Copyright [2024] Taylor Howell

import numpy as np
# %%
# OSQP: https://web.stanford.edu/~boyd/papers/pdf/osqp.pdf

# problem setup:
# minimize   0.5 x' P x + q' x
# subject to     l <= A x <= u

thowell

# Copyright 2024 Taylor Howell

from __future__ import annotations
import numpy as np

# predictive sampling
# https://arxiv.org/abs/2212.00541


# policy class for predictive sampling

thowell

# Copyright 2023 Taylor Howell

import jax
import jax.numpy as jnp

import matplotlib.pyplot as plt

# %matplotlib inline

# system parameters

thowell

// Copyright 2023 Taylor Howell

#include <iostream>
#include <random>
#include <thread>
#include <vector>

// derivative-free random search
template <typename T>
class RandomSearch {

thowell

// Copyright [2023] Taylor Howell
// Laplace solver

#include <math.h>
#include <stdio.h>
#include <stdlib.h>

// set boundary conditions for grid
void set_boundaries(double* grid, int width, int height, double top,
                    double bottom, double left, double right) {