studentbrad

#!/bin/python3
from copy import deepcopy
from typing import Union

import asn1tools


def hackTemplatedType(memberDict: dict, templatedTypeDict: dict, name: str):
    """
    Hack the templated type by replacing it in memberDict.

studentbrad

#include <math.h>

#include <gtsam/geometry/Pose3.h>

class CustomPose3AttitudeFactor
    : public gtsam::NoiseModelFactor1<gtsam::Pose3> {
protected:
  gtsam::Point3 nZ_, bRef_;

public:

studentbrad

#include <iostream>
#include <vector>
#include <boost/graph/adjacency_list.hpp>
#include <boost/graph/filtered_graph.hpp>
#include <boost/graph/graphviz.hpp>
#include <boost/graph/maximum_weighted_matching.hpp>

using namespace boost;

typedef property<edge_weight_t, float, property<edge_index_t, uint64_t> >

studentbrad

function f = himmelblau(x)

%*****************************************************************************80
%

%% HIMMELBLAU computes the Himmelblau function.
%
%  Discussion:
%
%    This function has 4 global minima:

studentbrad

# imports
import pygame
import sys
import random
from pygame.locals import *

# setting display variables
WINDOWWIDTH = 600  # the width of the game window
WINDOWHEIGHT = WINDOWWIDTH  # the height of the game window
GAPSIZE = 0  # gap size between boxes

studentbrad

function [minx, minf, iter, funev] = bfgs(ffunc, gfunc, n, x0, epsfun, epsgrad, epsx, maxiter, maxfun)
%
% *******************
% * MANDATORY INPUT *
% *******************
% ffunc    : A string indicating the function evaluation file. For example,
%            if the file name is 'fMyFunction.m', then ffunc should be
%            'fMyFunction'.
% gfunc    : A string indicating the gradient evaluation file. For example,
%            if the file name is 'gadient.m', then gfunc should be

studentbrad

function [S, count] = adaptive_simpson(f, a, b, epsilon, level, level_max)
% Evaluates the integral of f using Adaptive Simpson
% over [a, b] such that 1 / 15 * abs(S^(2) - S^(1)) < e.
count = 1;
level = level + 1;
h = b - a;
c = (a + b) / 2;
f_a = f(a);
f_c = f(c);
f_b = f(b);

studentbrad

function stock = get_yahoo_stockdata3(ticker,d1,d2,freq)
% Updated from v3 when in May 2017, yahoo went and changed how stock data
% was shown on web pages. 
%
% INPUTS:
%
% ticker  <-- Yahoo ticker symbol for desired security. This can be a char
%             string for a single stock, or data can be retrieved for
%             multiple stocks by using a cellstr array.
%

studentbrad

function [L, U, P] = lu_spp(A)
% [L, U, P] = lu_spp(A) computes a unit lower triangular matrix L,
% an upper triangular matrix U, and a permutation matrix P such that
% P * A = L * U.
% The LU factorization is computed using scaled partial pivoting.

% for the n x m matrix A, n == m
size_A = size(A);
if(size_A(1) ~= size_A(2))
    return

studentbrad

function [L, U, P] = lu_pp(A)
% [L, U, P] = lu_pp(A) computes a unit lower triangular matrix L,
% an upper triangular matrix U, and a permutation matrix P such that
% P * A = L * U.
% The LU factorization is computed using partial pivoting.

% for the n x m matrix A, n == m
size_A = size(A);
if(size_A(1) ~= size_A(2))
    return