Questions tagged [simulation]

A vast area which includes generating results from computer models.

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Nonlinear algebraic loop vs. discretized ODE system

I am not a mathematician and my question may not be well posed but I would appreciate any insight if you have it. Suppose I have a model of a hydraulic system composed of nonlinear differential and ...
user39728_i_said_user_39728_i_'s user avatar
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A probability simulation and probability distribution spike-graph are contradicting

I'm referring to the book: "Grinstead and Snell’s Introduction to Probability", and quoting a problem from the book, Example 1.4 (Heads or Tails) For our next example, we consider a problem ...
nayan's user avatar
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Simulating Particle motion on a surface

I am working on a personal project to model the motion of a particle on a surface. Using calculus, I parametrized a surface and then found the normal vector to that surface. Using that normal vector, ...
tabatuby's user avatar
1 vote
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38 views

Help with an article on convex-splitting method

I trying to simulate gradient flow $$\frac{\partial u}{\partial t}=-\nabla_x F(u)$$ where F(u) is (in my case): $$F(u)=2u^4-u^2$$ for u $\in [-0.5,0.5]$. Since the equation is non-linear, I would like ...
bATTLEGROUND's user avatar
2 votes
1 answer
85 views

How to mathematically model my population growth simulation

In high-school we learn to model population growth as an exponential, but we know that this is different from reality because population growth seems to hit as asymptote as some point due to limited ...
Dargscisyhp's user avatar
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How to quantify the convergence of a reverse Monte Carlo simulation, where the underlying distribution is entirely unknown

Background I'm in the process of writing a Monte Carlo simulation, which solves the radiative transfer problem in arbitrary anisotropic media with (in general) scattering and absorptive properties, ...
MomentumEigenstate's user avatar
1 vote
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Software to simulate angles in a pv system

I am trying to model a pv system and I want to simulate different angles, and to calculate values of different angles. I am asking if there is any software that allows me to design the figure below ...
girl_of_data's user avatar
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1 answer
59 views

Is running multiple simulations with fewer iterations the same as running a single simulation with as many total iterations?

I enjoy video games and one of the games that I play involves running simulations to test damage per second (DPS). I am wondering whether running five $10,000$-iteration simulations is equivalent to ...
Chaotic Good's user avatar
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Help with sample size for finding average distance betwee geographical points

I have a program that I want to test through simulations (since I don't know exactly how it works). The program converts a precise location (lat, lon) to an approximate location (it adds noise and ...
user2468350's user avatar
2 votes
1 answer
68 views

Markov chain simulations including permutations

Let $S_n$ be the set of all permutations of $\{1,2,...,n\}$ and $$S_{k,n}=\left\{\sigma=(\sigma(1),...,\sigma(n)) \in \mathcal{S}_n : \sum \limits_{j=1}^{n}j\sigma(j)\geq k\right\}$$ for a $k\in \...
Analysis's user avatar
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How to simulate samples from distribution of minimum of 3 distributions whose cdf are defined on different intervals.

Suppose, X,Y,Z are three positive independent variable. The cumulative distribution of X is as follows: \begin{equation} F_X(t) = \left\{ \begin{array}{cc} F_1(t) & ...
subho's user avatar
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1 answer
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Simulating a continuous-time jump process

I've got a continuous-jump process $(X_t)_{t\ge0}$ with generator $$(Af)(x)=\tilde\lambda(x)((\tilde\kappa f)(x)-f(x)),$$ where $$\tilde\lambda=\lambda+c$$ for some bounded measurable nonnegative $\...
0xbadf00d's user avatar
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Are there any Mathematical Theorems that Can Prove the Results of this Experiment?

I had the following question about Probability and Estimation. Let $\hat{\theta}_n$ be an estimator of a parameter $\theta$ based on a random sample of size $n$. The estimator $\hat{\theta}_n$ is said ...
stats_noob's user avatar
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2 votes
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Prove projection of a computable function is computable without using Church-Turing Thesis

Let $R(x,y)$ be a computable relation. I want to prove that for any fixed $y$, the set $S_y$ defined by $S_y := \{ \; x\; | \; R(x,y) \; \}$ is computable. I know this can be reasoned with the Church-...
Ari's user avatar
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MCMC in practice : how much access do we have to the target distribution?

In real world applications how much do practitioners usually know about the target distribution $\pi$? do they know its form exactly? do they only know it up to constant multiple (I guess this is the ...
σκουλήκι's user avatar
3 votes
1 answer
81 views

how many unique numbers will appear in simulation?

I am from ukraine and I start taking course on the computer programming. My classmate tells me about this website for interesting discussion and information about mathematics. Today we learn about ...
Ole Willa's user avatar
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Randomly generate points uniformly on an ellipsoid in general position

I want to uniformly generate points at random on the boundary of an ellipsoid in any dimension. The method given by @elhuhdron here is very nice and it can be straightforwardly generalized to any ...
Stéphane Laurent's user avatar
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Is it a valid way to uniformly generate points in/on an ellipsoid?

I found this method somewhere (I don't remember where) and I'm wondering whether it is correct. One has an ellipsoid of any dimension and one wants to uniformly generate some points at random on its ...
Stéphane Laurent's user avatar
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Fisher test to aggregate p-values in a simulation (from Wilcoxon rank-sum tests )- interpret correctly null-hypothesis

I got contradictory results between p-values in single trials, obtained with Wilcoxon test, and Fisher's p-value, obtained from a simulation over 1000 trials. I am confused about correctly ...
user305883's user avatar
6 votes
3 answers
374 views

Best strategy for 6 sided dice game: Roll as many dice as you want, you lose if at least one $1$ appears.

I am new here because we got stuck with a question during the weekend's discussion. Let's imagine we are playing a dice game. You can roll as many 6-sided dice as you want, and so can your opponents, ...
Johnny's user avatar
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1 answer
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How to detect to groups which shows significant slope differences from a single scatter plot

Is it possible to create a dummy or continuous variable which separates the points into two separate groups which show significant slope differences? In effect, I would like to know whether a "...
Ramakrishna S's user avatar
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33 views

Aproximating $E[g(X)]$ using Monte Carlo method

In an exercise, my teacher asked to approximate the expected value of $g(X)$ where X is a random variable with probability density function $f(x)$ using the Monte Carlo method. I thought about it, ...
Eduardo Magalhães's user avatar
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25 views

Sampling from Kolmogorov forward equation

I've asked this question over in cross-validated over here:https://stats.stackexchange.com/q/610492/383970 But no answers. I was curious if somebody in this stack has an answer. I've been learning ...
troutman314's user avatar
2 votes
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89 views

PI Controller - Integral term is causing instability

I am simulating the height of the reservoir in a hydro power plant using Matlab, without Simulink. The radial gates of the power plant are used to control the height of the water in the reservoir. ...
Grétar Már's user avatar
1 vote
3 answers
108 views

Finding ellipse from points and distances, 2d space sim/two body problem

Good afternoon, everyone. Is there any way to find the parameters of an ellipse, knowing random n points of the ellipse? Say, 3, 5, 10, 20 or any other reasonable number that doesn't require a lot of ...
Rutex's user avatar
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1 vote
1 answer
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Percentage Jobs drop in $M/M/1 K$ Queue with Finite Queue Length

In my simulation of the $M/M/1 K$ Queue, the arrival rate $\lambda$ is $2.7\ \mathrm{ jobs/s}$ while the service rate $\mu $ is $3 \ \mathrm{ jobs/s}$. The capacity $K$ of the buffer is $5$. I am ...
Waqas Ahmad's user avatar
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0 answers
65 views

Dynamic Monte Carlo in a random walk

I am simulating a random walk of two particles connected by a spring that has spring energy $E(x)=\frac{1}{2}C(x-a)^2$, where $C$ is a spring constant and $a$ the equilibrium length of the spring, and ...
Michael Henchard's user avatar
2 votes
1 answer
121 views

Implementing digital controller in the time domain

I have simulated a digital control system in the Z domain using MATLAB and I have got satisfactory results. However, when I converted the plant and the digital controller to difference equations and ...
learn design's user avatar
1 vote
2 answers
103 views

Circular motion at constant speed

I have a question. I have an algorithm that computes the trajectory of a body moving in a circle. The program repeats the following at short intervals to update the body's X and Z positions: $$x = \...
Adixe's user avatar
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1 vote
1 answer
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Why is Backward Euler not converging to 0?

I'm trying to implement Backward Euler for a simple physics simulation. My understanding is that Forward Euler 'overapproximates' and adds energy to the system, and so should spiral to infinity, but ...
Vendorf's user avatar
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I’m coding an implementation of the Lattice-Boltzmann algorithm and I was confused about one of the formulas

I'm following this paper: https://physics.weber.edu/schroeder/javacourse/LatticeBoltzmann.pdf, which has this equation: formula, where e, the combined velocity (times a constant c) is the velocity the ...
Yo Moments's user avatar
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0 answers
23 views

Simulation of a Brownian motion with random time points

I want to simulate a Brownian Motion on the interval $[0,1]$ with random time points in R Studio. I found a lot of stuff for the Brownian Motion with a fixed step size of 1. ...
wjc's user avatar
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3 votes
1 answer
136 views

How to find optimal policy to maximise a desired resource over time?

Each week, we can decide to do a hunt or skip it. Starting at week $1$, the available reward from that hunt is a yellow shard, then a blue shard, then a red shard, repeating in that order (so e.g. ...
Math1000's user avatar
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Understanding Simulation in the Study

I'm trying to understand a simulation study by Cuevas, Febrero-Bande and Fraiman (2004) "An ANOVA test for functional data". In the paper they explain how they conducted the simulation. ...
Dnz857's user avatar
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0 votes
0 answers
19 views

Weighted position average in moving coordinate system

I have a point cloud that I want to use as a coordinate system. The idea is that the points in the cloud can move arbitrarily, but still remain a coordinate system for objects on top of it. I was ...
xytor's user avatar
  • 129
3 votes
1 answer
56 views

Simulation of N-parameter Wiener Field

In order to do some numerical experiment, I would like to simulate an N-parameter (or at least 2-parameter) Wiener Field (see : https://encyclopediaofmath.org/wiki/Wiener_field for definitions). I am ...
BabaUtah's user avatar
0 votes
0 answers
21 views

Computing gravity on a swinging object

I'm working on a software in which there is a simple model for a swinging object attached to a pivot (e.g. a stick that's nailed to the wall at one of it's extremities). The object supports one basic ...
Alessandro Di Cicco's user avatar
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0 answers
68 views

Numerical solution of PDE unstable

I'd like to solve the heat equation numerically: \begin{equation} \partial_tu=\partial_x^2u, \end{equation} and I've tested my algorithm with initial conditions $u(0,x)\propto\operatorname{exp}[-(x-...
thorr's user avatar
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0 votes
1 answer
226 views

An adaptive step size solver for an ODE

I am trying solve an ordinary differential equation numerically, $\,dy/dt=10e^{-(t-2)^2/2(0.075)^2}-0.6y\,\,$ with an initial value and initial step size between $t=0\, and\, t=4$. In my code I ...
Ali Kıral's user avatar
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0 answers
38 views

Numerical schemes for simulating path dependent SDEs

Background: The Euler-Maruyama scheme for SDEs of the form $$dX_t = \mu(t, X_t) dt + \sigma(t, X_t) dB_t,$$ is well studied and easy to implement. It is given by $$X_{t_i}=X_{t_{i-1}}+\mu(t_{i-1}, X_{...
Nap D. Lover's user avatar
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6 votes
1 answer
150 views

Double Pendulum Simulation Accuracy?

I have what I think is a very simple doubt, but one that I've never seen explicitly addressed. It's a classic coding activity to simulate a double pendulum. You can code this simulation up more or ...
Charles Hudgins's user avatar
0 votes
1 answer
84 views

Simulation study for a Exponential Distribution

I have a pdf defined as: $$f(x)=\lambda e^{-\lambda(x-b)}$$ Conduct a simulation study in R to explore the behaviour of the maximum likelihood estimator $λ_{MLE}$ for λ on simulated data $X_1, · · · , ...
Jay's user avatar
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1 vote
0 answers
32 views

Geometric interpretation for p-series when $p=2$ [duplicate]

It is known that $$\sum^{\infty}_{n=1} \frac {1}{n^2}={\pi^2\over 6} $$ Is there any geometric interpretation for this series? In other words, is there any way to visually showcase this result ...
Ualibek Nurgulan's user avatar
4 votes
1 answer
169 views

Randomized algorithm to estimate $\pi$

I was looking for an algorithm to create a PI estimator, and I ran across this: https://stackoverflow.com/questions/36659034/trying-to-create-a-pi-estimator-in-r Briefly, the steps are: ...
Rachel's user avatar
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0 votes
0 answers
60 views

Using Modified Cholesky to generate correlated returns, how should permutation be used

I'm trying generate correlated random variables of standard normals (initially) using a modified Cholesky function in rust using crate modcholesky. According to the docs: Given a symmetric matrix A ...
user1338952's user avatar
0 votes
0 answers
108 views

How to simulate a control system with RK4

My question is simple yet I could not find answer on the internet. When I have a system described by its differential equation, I can simulate its states from time steps to time steps with RK4. But ...
Kristóf Németh's user avatar
0 votes
1 answer
38 views

How to solve this ill ODE with LMM(Linear Multi-Step Method)?

It's a 2D ODE in my assignment, $\begin{bmatrix}x_1'(t)\\x_2'(t)\end{bmatrix}=\begin{bmatrix}-1&1\\1&-1000\end{bmatrix}\begin{bmatrix}x_1(t)\\x_2(t)\end{bmatrix}+\begin{bmatrix}2\sin(t)\\1000(\...
Nekomiya Kasane's user avatar
1 vote
0 answers
41 views

How can I simulate uncertainty propagation

I am learning about uncertainty propagation, but it is all very obscure and I am not sure I understand it very well. I have a couple of exercises, but I want to run some simulations just to make sure ...
user17004502's user avatar
0 votes
0 answers
47 views

Expectation of survived sets

I have this problem: Choose randomly six numbers in $\{1,2,...,56\}$ without replacement. Call $L_0$ to this choosen set. Fix $N$. For each $n\in\{1,2,...,N\}$, generate a random set $L_n$ choosing ...
sinbadh's user avatar
  • 7,501
1 vote
1 answer
229 views

Implicit numerical ODE solvers: still unconditionally stable if Newton iterations limited?

Implicit ODE solvers like Backward Euler are often described as unconditionally stable, which I believe means that the solution never blows up regardless of how large the solver step size is chosen. ...
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