in C++ program Try first to generate a one-dimensional Brownian simulation where you can generate a time series for: time, distance, and (distance)^2. Then try to generate the averages of these quantities over a large number of different Brownian trajectories
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in C++ program Try first to generate a one-dimensional Brownian simulation where you can generate a time series for: time, distance, and (distance)^2. Then try to generate the averages of these quantities over a large number of different Brownian trajectories
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- Write the code in Java and C++ ....Given arrival and departure times of all trains that reach a railway station. Find the minimum number of platforms required for the railway station so that no train is kept waiting.Consider that all the trains arrive on the same day and leave on the same day. Arrival and departure time can never be the same for a train but we can have arrival time of one train equal to departure time of the other. At any given instance of time, same platform can not be used for both departure of a train and arrival of another train. In such cases, we need different platforms. Example 1: Input: n = 6 arr[] = {0900, 0940, 0950, 1100, 1500, 1800}dep[] = {0910, 1200, 1120, 1130, 1900, 2000}Output: 3Explanation: Minimum 3 platforms are required to safely arrive and depart all trains.Example 2: Input: n = 3arr[] = {0900, 1100, 1235}dep[] = {1000, 1200, 1240}Output: 1Explanation: Only 1 platform is required to safely manage the arrival and departure of all trains.Write a program in C++ to simulate a 1-dimension random walk along a circular tiled path. At each step, the walker randomly selects, with equal probability, to move to the left or right. The program displays the walker’s progress as it moves from tile to tile. The simulation ends as soon as the walker visits each tile at least once. The program displays the number of times the walker visited each tile. The program displays the number of times the walker moves.Please help me with this. Please write it in c++. A simulation creates a model of a real-world situation, allowing us to introduce a variety of conditions and observe their effects. For instance, a flight simulator challenges a pilot to respond to varying conditions and measures how well the pilot responds. Simulation is frequently used to measure current business practices, such as the number of checkout lines in a grocery store or the number of tellers in a bank, so that management can determine the fewest number of employees required to meet customer needs. Airlines have been experimenting with different boarding procedures to shorten the entire boarding time, keep the flights on-time, reduce aisle congestion, and make the experience more pleasant for passengers and crew. A late-departing flight can cause a domino effect: the departure gate is tied up and cannot be used by other landing or departing flights, passengers on board the late flight may miss connecting flights and…
- Draw Flowchart of this program // C# program for implementation // of Lagrange's Interpolation using System; class GFG { // To represent a data point // corresponding to x and y = f(x) class Data { public int x, y; public Data(int x, int y) { this.x = x; this.y = y; } }; // function to interpolate the given // data points using Lagrange's formula // xi corresponds to the new data point // whose value is to be obtained n // represents the number of known data points static double interpolate(Data []f, int xi, int n) { double result = 0; // Initialize result for (int i = 0; i < n; i++) { // Compute individual terms // of above formula double term = f[i].y; for (int j = 0; j < n; j++) { if (j != i) term = term * (xi - f[j].x) / (f[i].x - f[j].x); } // Add current term to result result += term; } return result; } // Driver code public static void Main(String[] args) { // creating an array of 4 known data points Data []f = {new Data(0, 2), new Data(1, 3), new Data(2, 12), new Data(5,…Using C++. Assume your development team is tasked with writing a pathfinder ( solution finder ) or the childhood game of 8 sliding tiles game. Your task is to determine whether or not an initial board configuration is or is not solvable. Your algorithm should do this by counting inversions. If the number of inversions is even, then the board is solvable. If the number of inversions is odd, then the board is not solvable (there is NO sequence of moves that will transition from the initial board to the goal board).You are asked to model a treatment isolation room system for patients with severe COVID-19 symptoms with a capacity of one room for 10 patients. Make a simulation flowchart to model the case
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- Implement Thirsty problem using semaphore. Write the code in C/C++ Scenario: To drink, a thirsty person must have three things; water, ice and a glass. There are three thirsty people, each having a different one (and only one) of the three required items. A fourth person, a server has unlimited supply of all three items. If nobody is drinking, the server places two of the three items (chosen at random) onto table. Thirsty person who can make a drink from those two items will pick them up and drink a glass of ice water. When done, thirsty person will notify the server and the process will repeat.The Pascal triangle can be used to compute the coefficients of the terms in the expansion (a + b)n. For example, (a + b)2 = a2 + 2ab + b2 where 1, 2, and 1 are coefficients. Write a C program that creates a two-dimensional matrix a representing the Pascal triangle of size n. For example, a Pascal triangle of size 6 is shown below: 1 1 1 1 2 1 1 3 3 1 1 4 6 4 1 1 5 10 10 5 1Write a Python function to run a Parking Lot (PL) simulation, called PLSimulation, which takes four integers as parameters: • The first parameter (minArriving) is the minimum number of cars that can park in the PL during one hour. • The second parameter (maxArriving) is the maximum that can park during one hour. • The third parameter (maxLeaving) is the maximum number of cars that may leave the PL during one hour. • The fourth parameter (hours) is the number of hours to run the simulation. Your function should simulate parking and leaving cars for the specified number of hours. In each hour, the following occurs in this order: 1. A random number of cars arrive, ready to park (between the minimum and maximum). That number is added to a count of the number waiting to park. 2. The maximum number of cars that may leave, allowing the same number of cars to park, so that number is subtracted from the count of the number waiting to park (if there are that many waiting to park). Initially, the…