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Minimizing the values in an underdetermined Matrix - minimize with constraints
*edit*: fixed mistake in call to |linprog| To perform L1 minimisation, you'll need access to an LP solver. If you have the op...

quasi 12 anni fa | 0

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How to change selected data which would give me the line of best fit (R squared close to 1)?
For the first part x(logical(imag(x))) = nan; For the second, your data points are all over the show. Any two will fit a s...

quasi 12 anni fa | 0

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Initializing vs growing a structure
Let's say you wanted to create a 100x1 struct array with a field |A| that you know will store a 3x3 matrix struct('A', repm...

quasi 12 anni fa | 4

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Minimizing the values in an underdetermined Matrix - minimize with constraints
Assuming you want a minimal Euclidean norm solution, there's no built-in function, but I can offer you a two-line solution: ...

quasi 12 anni fa | 0

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How to maximize this function: x1^2+x2^2+...+xn^2 ?
I assume you mean minimise rather than maximise, because unless you have |n| independent constraints, your problem is unbounded....

quasi 12 anni fa | 0

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Can linprog give an integer value of x's?
No there isn't. Integer linear programming is a different beast. Perhaps this one from the file exchange might help: <http://...

quasi 12 anni fa | 0

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How to output matlab ode dependent variable at same time step as T and Y?
By far the best way is to compute your dependent variable _afterwards_ with the |y| matrix that was computed by the ODE solver. ...

quasi 12 anni fa | 1

quasi 12 anni fa | 0

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how to construct an affinity matrix?
This might be helpful <http://www.mathworks.com/matlabcentral/fileexchange/26354-spectral-clustering-algorithms>

quasi 12 anni fa | 0

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quasi 12 anni fa | 0

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integration files
Mapping toolbox? <http://www.mathworks.com/products/mapping/>

quasi 12 anni fa | 0

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reversible matrix operation
Your Laplacian matrix is not full rank. Because your system is consistent, you have multiple solutions, and you're just getting ...

quasi 12 anni fa | 0

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reversible matrix operation
Your code doesn't run for me -- first, I don't have a function |avg| - did you mean to use |mean|? Second, if I replace all ...

quasi 12 anni fa | 0

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difference between .01 and 0.01 in matlab?
Readability

quasi 12 anni fa | 2

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if statement for range of array values
To check I've understood correctly, you only want to do something if the current and two preceding |x| values are all less than ...

quasi 12 anni fa | 0

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Numerical methods with first order equations
ode45

quasi 12 anni fa | 0

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Matrix fill-in when solving sparse linear systems
Firstly, is there any reason to believe that |x| should be sparse? Just because your matrix |A = C*C'| and your right hand sides...

quasi 12 anni fa | 0

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Runge-Kutta method related
Why are you bothering to use |ode45| at all? Your solution for any |t >= ti| is just y = y0 + (t - ti) * (g*n-0.5*(u^2+v...

quasi 12 anni fa | 1

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value of log(1000)
log10(1000)

quasi 12 anni fa | 0

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Inserting zero rows and columns into matrix efficiently
Perhaps I'm misunderstanding, but your example can be generated from the following M = zeros(numel(pointer_master)); M(p...

quasi 12 anni fa | 1

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Fixed point (matematice)
|xold| never gets updated, so |xnew| gets set to the same value every iteration, and the loop never ends ...

quasi 12 anni fa | 0

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ode45
Yes, certainly possible. The basic approach would be to turn it into a system of first order odes of twice the dimension as foll...

quasi 12 anni fa | 1

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Caught in loop
Your code works fine. If you remove the |disp| statement (which is causing it to slow down heaps), you'll find that it runs comp...

quasi 12 anni fa | 1

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Triangular surface
Simple example using |DelaunayTri|. First create a set of points N = 1000; theta = 2*pi*rand(N, 1); phi = acos(2*rand...

quasi 12 anni fa | 0

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[DISCONTINUED] Wish-list for MATLAB Answer sections.
Another thing that would be awesome would be the ability to submit a published m-file as an answer. Often I find myself answ...

quasi 12 anni fa | 0

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Help with identifiny change in curve shape automatically
What I think you're looking for are effectively the points of high curvature. If you have access to the curve fitting toolbox th...

quasi 12 anni fa | 1

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Need command help for a specific matrix operation
*EDIT* Needed to strain my eyes harder to figure out that the matrix in question had 4 rows C = [0 1 0 0; 0 0 1 0] * A.^2;

quasi 12 anni fa | 1

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finding turning points of a dataset
Why don't you look for local maxima of curvature? This way you don't have to define any subjective tolerances. You may need to s...

quasi 12 anni fa | 1

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signals addition
Assuming they correspond to the same sampling rates, truncate one of them to be of the same length as the smaller one: n1 =...

quasi 12 anni fa | 0

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ODE45- How to pass parameters out
Why don't you just solve your ODE first, and then call the RHS function, modified to print out your parameters of interest, at t...

quasi 12 anni fa | 1