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Michael Loibl


Last seen: Today |  Aktiv seit 2021

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Beantwortet
Import and edit a NURBS from a .stp or .igs file to Matlab
Hi, I recently uploaded a respective library for importing (trimmed) NURBS surfaces as .stp-files: https://de.mathworks.com/ma...

etwa ein Jahr vor | 0

Frage


Does the use of name-value arguments in functions slow down the speed of my code?
The use of name-value arguments in functions allows a much more flexible use of functions. The simple alternative for me would b...

etwa ein Jahr vor | 1 Antwort | 0

1

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Beantwortet
plot specific values of 3 values function
I don't directly know a good solution for plotting a function with four variables (in your case M1, beta, fh and fr). Plotting ...

mehr als ein Jahr vor | 0

Frage


Are the algorithms used in mldivide direct solvers?
In numerics, it is often distinguished whether a solver is direct or iterative. We are most of the time using "mldivide" (backsl...

mehr als ein Jahr vor | 2 Antworten | 0

2

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Which solver should I use to solve a square and symmetric, linear system of equations?
I want to solve a linear system of equations which is always square and symmetric. So far I always use mldivide ("backslash"). H...

etwa 2 Jahre vor | 4 Antworten | 1

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mldivide (backslash): advantage by using sparse matrix instead of a full matrix with respect to the quality of the results?
I am solving a linear system of equations Ax = B with the backslash operator. I have two versions of A implemented: a sparse and...

mehr als 2 Jahre vor | 2 Antworten | 0

2

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n=double(ans) Error using double Conversion to double from py.numpy.ndarray is not possible.
I just answered a similar question here. It is a general solution, but it might help some people.

mehr als 2 Jahre vor | 0

Beantwortet
Error in converting ndarray to double
I actually have the same problem. Now, I found a nasty (but in my case helpful) solution. I am using the fact that I am able to ...

mehr als 2 Jahre vor | 2

Frage


Numerical error using the "diff" function
I want to determine the max difference between adjacent entries of a vector. vector = [0 0 0 0.2 0.4 0.6 0.7 0.85 1 1 1]; di...

etwa 3 Jahre vor | 1 Antwort | 0

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