Questions tagged [numerical-methods]
Algorithms which solve mathematical problems by means of numerical approximation (as opposed to symbolic computation).
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questions
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Trapezoidal rule for set of data
Here is the question from the book of Mark Newman-Computational Physics Exc 5.1
a) Read in the data and, using the trapezoidal rule, calculate from them the approximate distance traveled by the ...
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0answers
29 views
Evaluating π using Monte Carlo methods - Serial vs OMP
I wrote this simple code for evaluating the π using Monte Carlo method. This is the serial version:
...
11
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0answers
47 views
Continuous Fourier integrals by Ooura's method
I have a PR implementing Ooura and Mori's method for continuous Fourier integrals. I used it here to compute an oscillatory integral that Mathematica got completely wrong, and then I thought "well ...
7
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1answer
87 views
Parallel Ramanujan's formula for 1/π calculation
I finished my university project for calculating \$1/\pi\$ and I would love to get some feedback.
Before you guys jump into this code please keep in mind newcomer to C++ just decided to use it for ...
6
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0answers
54 views
Numerical integration in cython
I have a set of nested functions that I need to call multiple times. I know scipy.quad is pretty fast, but I will need to call the integrator recursively and want ...
7
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2answers
139 views
Simple function that simulates survey results based on sample size and probability
What is this:
This is a simple function, part of a basic Monte Carlo simulation. It takes sample size and probability as parameters. It returns the simulation result (positive answers) plus the input ...
3
votes
1answer
81 views
Calculating pi via collisions
This code calculates pi via collisions; it asks for a user input of N which determines the mass of the second block. It is fully working, it just takes forever to run when N >= 2. I want to be able ...
3
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1answer
43 views
Monte Carlo pi animation
I have created a program that calculates pi using a Monte Carlo method. It also animates the process and displays the value as it is updated to show how it gets closer and closer to the actual value ...
6
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1answer
68 views
Monte Carlo errors estimation routine
I would value your opinion on the following piece of code. I am rather new to both Python and Monte Carlo analysis, so I was wondering whether the routine makes sense to more experienced and ...
2
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1answer
59 views
Java Pi Calculation using an Averaged-Leibniz formula
While trying to discover a way to calculate the digits of Pi faster with the Leibniz formula for Pi, I noticed that, if I took two consecuent numbers in the series, and calculate their average, I ...
6
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1answer
220 views
C++ Pi Calculator - Leibniz Formula
Yesterday I saw a CodeTrain video in where Daniel Shiffman tried to approximate Pi using the Leibniz series. It was interesting so I decided to try it too.
I wrote this console application with a ...
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2answers
2k views
0
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1answer
38 views
A simple clusterness measure of data in one dimension using Java
Problem definition
Given \$X = (x_1, \dots, x_n)\$ such that \$x_1 \leq x_2 \leq \dots \leq x_n \$. Let \$x_{\min} = \min X = x_1\$, \$x_{\max} = \max X = x_n\$ and \$r = x_{\max} - x_{\min}\$. Also, ...
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1answer
63 views
Polynomial implementation in Golang
I am writing a numerical analysis library in golang for which I need to implement a polynomial struct. Here is the source code:
...
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2answers
1k views
Simulating a two-body collision problem to find digits of Pi
I came across a nice video on 3Blue1Brown's channel that highlights a very indirect way to find the digits in Pi. I'd suggest watching the whole video, but briefly:
The setup is as above. A "small" ...
9
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1answer
114 views
Discrete Lanczos Derivatives
I have a PR implementing denoising discrete Lanczos derivatives, following this paper. The following code works well, but the design is a train wreck, and I was hoping to get some advice to improve it....
3
votes
3answers
107 views
A collection of vector functionals
I would like some feedback for a collection of what I call "vector functionals", by which I mean maps \$\ell\colon \mathbb{K}^{n} \to \mathbb{K}\$, where the field \$\mathbb{K} = \mathbb{R}\$ or \$\...
4
votes
1answer
83 views
Complex Newton's Method
I'm trying to build a complex Newton's method. I've submitted a PR here, where you can see the documentation and tests, as well as get a compiling example. I'd appreciate y'alls help reducing the ...
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0answers
63 views
Bisection and Newton's method for finding a root of an equation
In an attempt to learn Rust, I've written up implementations of the bisection method and Newton's method for finding roots of an equation. Both methods come in two variants: the first one searches for ...
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Metropolis Monte Carlo Sampler in Rust
the following is an implementation of the standard Metropolis Hastings Monte Carlo sampler. You can read more about it here.
At the end I am going to give you a link to the Rust playground, so you ...
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0answers
181 views
Verilog implementation of trapezoidal integration method
Any and all comments are welcome in this review.
Problem
I've been doing a lot with numerical integration methods recently and have mostly been programming in Python. But...speedups! And FPGAs are ...
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0answers
83 views
Implementing numerical integration in Python
I have this Python code that implements a rectangular numerical integration. It evaluates the (K-1)-dimensional integral for arbitrary integer \$K \geq 1\$
$$\int_{u_K = 0}^{\gamma}\int_{u_{K-1} = 0}^...
7
votes
3answers
645 views
Implementing numerical integration
I have this C++ code that implements a rectangular numerical integration. It evaluates the \$K\$-dimensional integral
$$\int_{u_K = 0}^{\gamma}\int_{u_{K-1} = 0}^{\gamma-u_K}\cdots\int_{u_2}^{\...
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votes
3answers
849 views
Bisection to find roots in C++
I have written a short C/C++ code finding root by bisection. (This is a simple iterative numerical method allowing to find the root of an equation i.e. x such that f(x) = 0). Bisection Method
The ...
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1answer
223 views
2d linear Partial Differential Equation Solver using finite differences
This is code that solves partial differential equations on a rectangular domain using partial differences. fd_solve takes an equation, a partially filled in output, ...
5
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1answer
165 views
Compute PI in Kotlin on a T-shirt
I have written code in Kotlin with the objective of computing Pi in few enough lines so that it looks good on a t-shirt.
Can be cut and paste into http://try.kotlinlang.org under "My Programs" and ...
5
votes
2answers
90 views
Calculating Maclaurin series for sin(x)
I'm very new to Haskell as was hoping to get some feedback on my code AND I have some specific questions. I've posted code below or you can see it here.
I'd welcome ideas on how better to calculate ...
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3answers
2k views
Definite Integral Approximation using the Trapezoidal Method
I wrote a program to calculate the value of Definite Integral of a function from a to b. It used the trapezoidal approximation ...
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0answers
175 views
Numerical integration with Numba
I'm a bit new to working with Numba, but I got the gist of it. I wonder if there any more advanced tricks to make four nested for loops even faster that what I have ...
3
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1answer
77 views
A single function for implementing Newton forward and backward polynomial interpolation
On various websites, I've come across a lot of realizations of Newton polynomial interpolation that use separate functions for forward and backward interpolation, respectively. Such solutions seem ...
5
votes
2answers
4k views
Compute a numerical derivative
Since I could not get numpy.gradient() to compute a derivative successfully, I wrote a script to compute it manually. Running the script below will output a plot of ...
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0answers
335 views
Complex multiplication and integration with CUDA
I want to perform multiplication on two vectors and integrate it in a vector called acc_y. The acc_y variable will update over ...
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9answers
4k views
Approximating constant π² to within error
This function takes as input float error and approximates constant π² to within error by computing this sum, term by term, until the difference between the new and the previous sum is less than error. ...
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vote
1answer
76 views
Runge-Kutta Fourth Order in C
I've found that the Runge-Kutta (4th order) calculations in some software I wrote are the bottleneck. Is there anything obvious I can do to improve efficiency here?
Note that Compiler optimizations ...
4
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1answer
265 views
Computing an approximate value of Pi via Monte Carlo method in Java with streams
I have this short program that attempts to compute an approximate value of \$\pi\$:
...
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3answers
3k views
Numeric double integration
I've made a simple program for numerically aproximating double integral, which accepts that the bounds of the inner integral are functions:
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0answers
346 views
Quasi-Random Number Generators
I would like to communicate a piece of code which I hope will soon be broadly useful for everyone who programs in C++: A set of quasi-random number generators proposed for addition to boost.random. To ...
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0answers
1k views
Numerical Differentiation by Finite Differences
Numerical differentiation is known to be ill-conditioned unless using a Chebyshev series, but this requires global information about the function and a priori knowledge of a compact domain on which ...
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0answers
200 views
Numerical differentiation on sphere with Python
I have ported from Fortran to Python an algorithm that calculates the numerical derivative along the x direction (longitudinal) of a scalar function s on a ...
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votes
3answers
508 views
Multithreaded Monte-Carlo Integration
I have a PR implementing multithreaded naive Monte-Carlo integration here. My requirements for the class are the following:
It should support progress reporting, ETA, and graceful cancellation.
It ...
6
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1answer
213 views
Computing the improper integral of several functions
How can I optimize and make prettier the following code?
Main.cpp
...
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3answers
72 views
Newton's algorithm for a polynomial of arbitary degree
Improvement over the last one I posted (now deleted, had no answers and was only cubics). Uses Horner's algorithm this time...
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2answers
195 views
Spectrum Analysis with Discrete Fourier Transform
Here is a simple implementation of the Discrete Fourier Transform:
myFourierTransform.m
...
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3answers
5k views
Finding the root of a function by Bisection Method
The program has to look for a root in an interval [a,b]. The root should be declared with a certain accuracy eps. I.e it should ...
4
votes
1answer
476 views
Hodgkin-Huxley model in C++
I'm fairly new to C++ and I want to simulate the Hodgkin-Huxley neuron model with it. I have used a MATLAB implementation before and I hope that the C++ code will be faster.
Both seem to take the ...
1
vote
2answers
426 views
Bisection method solver
I have a simple bisection method solver that I was told it has some problems in design and I need my code to be reviewed, so I was hoping for someone to give me guideline on how to improve my code.
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0answers
409 views
Computing the square root of a number using binary search
This is implemented in MIPS assembly.
I've hard-coded the initial guess, as I haven't figured out how to allow the user to input a negative or non-negative integer to then display the result back to ...
4
votes
2answers
570 views
Discrete random number generator in Python
Description: I am given a list of possible values, each of which have an associated probability of occurrence.
How could I improve the algorithm that randomly generates a value based on the given ...
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2answers
293 views
Python numerical integration
Could the time complexity of this definite integral algorithm be improved?
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1answer
73 views
Area under curve and its volume as solid of revolution
I would like to know if there is some more "elegant" way to write these 3 functions. Any tip or idea is welcome.
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