![]() I was hoping someone could provide some advice on a more “Julian” way of dong this, or if this is indeed a suitable approach. ![]() This works fine, however, it feels to me like this is not good practice. Say I have the following function function double(A::Array)Įrror("Array dimensions not suitable for multiplication.") Since I am new to Julia, I think the limitation is probably my understanding, not the language. I came across what to me seems like a limitation of the * operator on Arrays. ![]() I’m am currently writing some code to perform a number of matrix manipulation tasks. how long will it take to lear all these MATLAB tricks, the help is great indeed, I started to using it just a while ago :-).Hi, I’m a long term Matlab user just starting to wade into the world of Julia, so forgive me if my question is naive. Learning a lot of matlab functions i think indeed is the way, but being able to vectorise like above i think took me about 2-3 years matlab experience.ītw, matlabs documentation is the absolute best, and if you type "help function" in the console, you get a bunch of references to other similair funcitons at the bottom, that for me was the most effective way to discover functions. On the other hand, coding everything "step-by-step" in C++ means that you need to understand the math, hence you know quite precisely what your code actually does once it works properly. Secondly, I wanted to try ode"x" solvers for stiff equations (my problem includes several PDEs) as it should optimize automatically the computing time (choosing a time step with respect to given accuracy). I decided to give MATLAB a chance because of two things: first of all I disliked that I could not draw graphs outputs in C++ immediately I had to store all the values in MS Excel and then plot the data here) - making a Windows-based with GUI for graphs is a struggle for this purpose and the code is not compatible between Windows/macOS. First you multiply each row of M with a corresponding element of V ( Vil Mlj above for a fix i ), then sum up as a. weightedvs VM an element of which is equal to. Python libraries for math are much better). If V is of size k,n and M is of size n,m, and youre looking for the k weighted vectors, then you might simply need. Suggest you read tutorials before you ask any. So, if A is an m × n matrix, then the product A x is. Let us define the multiplication between a matrix A and a vector x in which the number of columns in A equals the number of rows in x. v By this way, this is very basic MATLAB syntax. To multiply a row vector by a column vector, the row vector must have as many columns as the column vector has rows. As such, your function would be simplified to: function C lab11 (mat, vec) rows size (mat, 1) vecmat repmat (vec, rows, 1) C mat. You can do this stacking by using repmat which repeats a vector or matrices a given number of times in any dimension (s) you want. ![]() ![]() As such, you can simply take your vector (lets call it v, where v 1 2 3 ) and multiply this with the third column of your matrix (lets call the matrix A) by: out A (:,3). After this, you can do element-by-element multiplication. I also consider C++ to be very fast, but when it comes to the math it lacks function (I did not have a good experiences with C++ math libraries, e.g. Im assuming you want to do point-by-point multiplication. Since I am used to C++, my MATLAB implementation looked odd. ![]()
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