carlos-adir

#include <iostream>

using namespace std;

struct elemento
{
	int valor;
	elemento *proximo;
};

carlos-adir

import tkinter as tk
import negocio
import numpy as np
import matplotlib.ticker as ticker

import gi
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk
from matplotlib.figure import Figure
from matplotlib.backends.backend_gtk3agg import FigureCanvasGTK3Agg

carlos-adir

######################################
#             Description            #
######################################
#
#  This algorithm finds the solution of an non-linear equation
#  The equation is the catenary, that is like
#            h(x) = a * cosh(x/a)
#  We want to find the value of "a" such that h(x0) = y0
#  Where (x0, y0) is known
#

carlos-adir

import numpy as np
import sympy as sp
from numpy import linalg as la

"""
https://mathoverflow.net/questions/425067/block-matrix-reduce-system-for-finite-element-method
"""

def random_sym_matrix(side):
	F = np.random.rand(side, side)

carlos-adir

import numpy as np
import sympy as sp

sin, cos = sp.sin, sp.cos

k1, k2 = sp.symbols("k1 k2", real=True, positive=True)
L1, L2 = sp.symbols("L1 L2", real=True, positive=True)
a, p, m= sp.symbols("a p m", real=True, positive=True)
theta = sp.symbols("theta")
dtheta = sp.symbols("dtheta")

carlos-adir

import numpy as np
import sympy as sp
from matplotlib import pyplot as plt
import mpmath as mp
mp.mp.dps = 4000
print(mp.mp)
sqrt = mp.sqrt


def xsqrta(x, a):

carlos-adir

carlos-adir

from typing import Tuple    
import sympy as sp
import numpy as np

def Bezier2Canonical(degree: int) -> np.ndarray:
    """
    Returns a transformation matrix between the basis
        Bezier -> Canonical
    """
    matrix = np.zeros((degree+1, degree+1), dtype="object")

carlos-adir

from typing import Tuple
import numpy as np
from fractions import Fraction
import math


def invert_integer_matrix(
    matrix: Tuple[Tuple[int]],
) -> Tuple[Tuple[int], Tuple[Tuple[int]]]:
    """

carlos-adir

import numpy as np
from matplotlib import pyplot as plt
from typing import Tuple

class Conic:


    def __init__(self, coefs: Tuple[float]):
        self.coefs = coefs