MarinMario

extends KinematicBody2D

var move_speed := 400
var jump_force := 600
var gravity := 1200
var max_jump_times := 1
var jump_times := 0
var grounded := false
var velocity := Vector2.ZERO

MarinMario

extends KinematicBody2D

var input_vector: Vector2
var velocity: Vector2

export var max_speed := 300
export var acceleration := 500
export var friction := 1000

func _physics_process(delta):

MarinMario

using Microsoft.Xna.Framework;
using Microsoft.Xna.Framework.Graphics;
using Microsoft.Xna.Framework.Input;

namespace GameName
{
    public class GameLoop : Game
    {
        GraphicsDeviceManager graphics;
        SpriteBatch spriteBatch;

MarinMario

    class Player
    {
        Texture2D texture;
        public Vector2 position;
        Vector2 velocity = Vector2.Zero;
        int speed = 300;
        int acceleration = 600;
        int friction = 1000;

        public Player(Texture2D _texture, Vector2 _position)

MarinMario

import math
import random
import matplotlib.pyplot as plt

#scrie o functie care calculeaza aria si circumerenta unui cerc
# print                       pi * r^2     2 * pi * r

# def calc(r):
#     circ = 2 * math.pi * r
#     aria = math.pi * r * r

MarinMario

import java.sql.DriverManager;
import java.util.ArrayList;
import java.util.List;

//TIP To <b>Run</b> code, press <shortcut actionId="Run"/> or
// click the <icon src="AllIcons.Actions.Execute"/> icon in the gutter.
public class Main {
    public static void main(String[] args) {
        var rezolvare = new Rezolvare();
        rezolvare.run();

MarinMario

import org.json.JSONArray;

import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.List;

public class Main {
    public static void main(String[] args) {

MarinMario

#include<iostream>
#include<string>
#include<stdexcept>

using namespace std;

class SalaEvenimente {
private:
    string numeSala;
    int numarInvitati;

MarinMario

# Hesiana
	1. Se afla determinantii de rangul 2 pentru functie
	2. Acestia se aseaza in matrice in modul urmator:

	    	Ux1x1 Ux1x2 Ux1x3
		H = Ux2x1 Ux2x2 Ux2x3
	    	Ux3x1 Ux3x2 Ux3x3

# Concavitate
	1. Se calculeaza hesiana

MarinMario

t-stat = coefficient/std-error
|t-stat| > t-crit => prob < 0.05 => statistic semnificativ
F-stat = (R^2/k)/(1-R^2)(n-k-1) (k = nr variabile explicative, n = nr observatii)
F-stat > F-crit => model valid global pt un nivel de semnificatie de 5%
R^2 = coeficient de determinare, ex: R^2 = 0.7 => modelul explica 70% din rezultat, restul de 30% sunt variabile pe care modelul nu le ia in calcul
Interval incredere = valoarea coeficientului +- tcrit * eroare standard

Tabelul Variance Inflation Factors (Eviews)
variance inflation factors = tabel de verificare coliniaritate
vif < 5 => nu e coliniaritate