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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...

12年弱前 | 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...

12年弱前 | 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...

12年弱前 | 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: ...

12年弱前 | 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....

12年弱前 | 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://...

12年弱前 | 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. ...

12年弱前 | 1

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

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12年弱前 | 0

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

12年弱前 | 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 ...

12年弱前 | 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 ...

12年弱前 | 0

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difference between .01 and 0.01 in matlab?
Readability

12年弱前 | 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 ...

12年弱前 | 0

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Numerical methods with first order equations
ode45

12年弱前 | 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...

12年弱前 | 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...

12年弱前 | 1

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value of log(1000)
log10(1000)

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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...

12年弱前 | 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 ...

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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...

12年弱前 | 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...

12年弱前 | 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...

12年弱前 | 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...

12年弱前 | 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...

12年弱前 | 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;

12年弱前 | 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...

12年弱前 | 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 =...

12年弱前 | 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...

12年弱前 | 1