Julia is a high-level dynamic programming language designed to address the requirements of high-performance numerical and scientific computing while also being effective for general purpose programming.

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Sort Algorithms in Julia

Similar to this question here, I am trying to implement sort algorithms in Julia, as part of a package. The code for the implementation is as follows: ...
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Search algorithms in julia

I've been trying to implement the basic search algorithms: Sequential search for ordered and unordered arrays and the binary search algorithms, as part of a package. So, this is the implementation: ...
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Computing the double Integral using MonteCarlo techniques using Julia

I decided to try and learn Julia for doing scientific computing, and I decided to tackle the problem of finding $$ \int_{D_{\frac{1}{4}}} x^4 + y^2 dA $$ where \$ D_{\frac{1}{4}} \$ is the part of ...
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Implementing cat function in Julia

I wanted to implement the cat function in Julia and I ran a few test cases but I am not sure if I am missing anything: ...
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Flattening lists of Vectors and Matrices into arrays

For many optimisation methods the parameters must be given as a single vector, such as Optim.jl. But for many interesting functions the parameters/coeffients to be optimised are matrices, or a mixture ...
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Latent Dirichlet Allocation Posterior Inference

I have implemented Latent Dirichlet Allocation in Julia. Since the code is rather long, I copied the essential part here but the complete code can be found on GitHub. ...
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Kernel density regression in Julia

Here is a naive implementation of a kernel density regression algorithm in Julia. The code works, but there is quite a bit of room for improvement though. First, there is not an optimal bandwidth ...
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Iterative procedure to get 3D coordinates from distance constraints

Imagine you have a series of n points randomly generated in a box in 3D space. You also have a list of distance bounds, e.g. points 5 and 3 should be between 1.0 and 2.0 Angstroms apart. There are ...
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Terry Feagin's 10th order explicit Runge-Kutta method

The following Julia code implements Terry Feagin's 10th order explicit Runge-Kutta method (a more accurate cousin of RK4). Though the structure of the code is quite simple (i.e. no cyclomatic ...
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Functions for outputting the rows and columns of a matrix

I often want to iterate either row-wise or column-wise though a matrix in Julia, so I've created a pair of functions to help: ...
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166 views

Convert a Sympy function into a Julia function

SymPy has a Julia wrapper and defines its own mathematical functions. I would like to be able to convert them into Julia functions, even if they take multiple arguments. I also would like to find the ...
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Individuals reproduce and mutate

How can I improve the performance (in terms of computation time) of this code? ...
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Julia RPN calculator algorithm ported from Python version

I've just finished the Reverse Polish Notation task in Julia from rosettacode.com by porting the existing Python code. There are only a few lines I don't get how to port: ...
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120 views

Neural Network in Julia

I am currently trying to implement a Neural Net in Julia with the goal of eventually implementing a stacked autoencoder. My code seems to work but I would appreciate any constructive criticism. If ...
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Speed optimization for girth-counting algorithm

I have the following girth-counting algorithm on a large 0-1 matrix and I need to optimize it for speed: ...
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Neural Network appears to be slow

I have some neural network Julia code which I'm hoping to speed up. It's possibly simply poorly-designed, but I'm not convinced. ...