Community Profile # Michal

Last seen: Today Active since 2015

Programming Languages:
MATLAB, Fortran
Spoken Languages:
English

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Question

multi array vectorization problem (reformulated)
How to vectorize (for-loop elimination) the following code? % init A = [ -0.8013 -0.4981; -0.2278 -0.9009]; t = 0:0.01:...

4 days ago | 3 answers | 0

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Question

How to formulate linear control problem for Stochastic Differential Equation solvers
I have the following linear control problem: x'(t) = A*x(t) + B*u(t) y(t) = C*x(t) + D*u(t) where x(t0) = x0 ... initial co...

12 days ago | 0 answers | 0

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Question

Most effective way to solve nonhomogeneous linear ODE problem
What is the most effective way to solve following "small" linear 1st order ODEs problem: x'(t) = Ax(t) + Bu(t) x(t0) = x0 whe...

12 days ago | 2 answers | 0

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Use Filter Constants to Hard Code Filter
Probably fully functional naive version of filter: function [Y, z] = myFilter(b, a, X, z) % a and b should have same order...

3 months ago | 0

Question

Algorithm for homogenization of non-equidistant 1-D grid
I am looking for proper algorithm for so called "delta-homogenization" of 1-D non-equidistant grid. Definition: The sorted mono...

6 months ago | 0 answers | 0

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Question

Matlab is significantly slower than Julia on simple evaluation
More and more frequently some people open the question about speed comparison between Matlab and Julia. The main Julia developer...

6 months ago | 2 answers | 2

### 2

Question

expm function problem for stiff matrix
For very specific matrix A: a = -1e20; b = eps; c = 1; A = [a,0,b;0,c,0;-b,0,a]; disp('A:'), disp(num2str(A)) A: ...

12 months ago | 2 answers | 1

### 2

histogram of signals gaps width
This is much more simple Matlab implementation but still not optimal (+ not vectorized): signals = [1.1 NaN NaN NaN -1.4 NaN 8...

12 months ago | 0

Question

histogram of signals gaps width
I am looking for algorithm (effective + vectorized) how to find histogram of gaps (NaN) width in the following manner: signals ...

12 months ago | 2 answers | 0

### 2

how to install supported CUDA Toolkit 10.2 on Ubuntu 20.04 LTS Linux
After thorough discussion with Matlab support and several relevant forums (Ubuntu, NVIDIA, ...) the final result is as follows: ...

1 year ago | 0

| accepted

Question

how to install supported CUDA Toolkit 10.2 on Ubuntu 20.04 LTS Linux
As you can see here, the CUDA Toolkit currently suported by R2020b is 10.2. But, as you can see here , the only supported versio...

1 year ago | 3 answers | 1

### 3

Question

possible speed up of the ischange function by parfor
I completely understand, that any modifications of standard MATLAB functions are very dangerous, but I found the possibility how...

1 year ago | 0 answers | 0

### 0

Question

simple bernoulli sampler function
I am trying to find replacement of binornd function by standard MATLAB code. Is the following command r = binornd(1,p,sz) exa...

1 year ago | 1 answer | 0

### 1

What frustrates you about MATLAB? #2
Do you really think, that these threads are read by MTW people??? I am not sure!!! TMW definitely choose the commercial way of ...

1 year ago | 0

2018b gcc support on Ubuntu 18.04
May be this is possible solution for you: https://www.mathworks.com/matlabcentral/answers/407502-incompatible-gcc-version-with-m...

2 years ago | 0

Multi-precision linear programming
One of possible way (so far only known to me) how to solve directly and eficiently LP problems with full multi-precision support...

2 years ago | 0

| accepted

Question

Multi-precision linear programming
I need to solve specific linear programming problem which is based on Mallows permutation probability distribution. This exponen...

2 years ago | 2 answers | 0

### 2

strange power .^ operator behaviour
Very interesting description of the integer power problem: http://szhorvat.net/pelican/fast-computation-of-powers.html

2 years ago | 0

Question

strange power .^ operator behaviour
Take a look on this FEX. For vectors of length greater than >~100 elements it is more efficient to use multiple x.^2 than x....

2 years ago | 2 answers | 0

### 2

Question

incremental training (large data set)
Is the following approach suitable for NN incremental learning in general? for bn = 1:num_batches inputs = <get batch ...

2 years ago | 1 answer | 0

### 1

matchpairs function input parameter costUnmatched
I propose the following costUnmatched input parameter estimation for given Cost matrix: costUnmatched = max(size(Cost)) * max(C...

2 years ago | 0

| accepted

Question

matchpairs function input parameter costUnmatched
How to choose proper value of parameter costUnmatched (matchpairs function) to get requested number of matches. Especially in a...

2 years ago | 1 answer | 0

### 1

Question

Just one remark regarding current situation on MATLAB Answer portal: A lot of people (including highly trustworthy) aswers on m...

2 years ago | 1 answer | 0

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"symmetrical" rows of matrix
I present the best solution so far: d = ~pdist2(A(:,1:end/2), A(:,end/2+1:end)); [iA1, iA2] = find(triu(d & d.'));

2 years ago | 0

| accepted

Question

"symmetrical" rows of matrix
I have integer matrix A (nA x c) with even number of columns (e.g. mod(c,2) = 0) and unique rows. How to effectivelly (by spe...

2 years ago | 1 answer | 0

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Question

what is recommended way to apply incremental ANN learning
I would like to apply ANN for approximation (regression) of the larga data set of points {x_i, y_i}, where x_i are input vectors...

2 years ago | 0 answers | 0

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Question

MATLAB Connector not running
I am using Matlab Connector on Linux (LinuxMint 19.3 based on Ubuntu 18.04). When I start MATLAB connector (v 1.4.0.6) and the...

2 years ago | 0 answers | 0

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Question

how can I effectively compute expected value by histogram approximation of probability desnsity function
What is the proper way to compute effectively (fast) the expected value E(x) in a case when I have approximation of probability ...

2 years ago | 1 answer | 0

### 1

Question

symbolic function with specific properties
I need to implement the symbolic function E(m(x)), where x = [x1, ..., xN] are symbolic variables, with the folowing property: ...

2 years ago | 0 answers | 0