Delphi to Matlab code conversion

$10-30 USD

Closed

Posted

over 8 years ago

$10-30 USD

Paid on delivery

I need 2000 lines of Delphi code converted to Matlab. This is a program which finds eigenvectors and eigenvalues of large matrices using QZ algorithm. However, providing you are accurate with the code conversion, you probably don't have to be familiar with the algorithm itself. The code is thoroughly commented, but the comments are in Russian. You'll have to copy them into the output Matlab program as a part of the task. If needed, I can also provide you with a Mathcad program with the realization of the same algorithm.

Matlab and Mathematica

Project ID: 9143560

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9 proposals

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Active 8 yrs ago

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9 freelancers are bidding on average $59 USD for this job

@nayeem4444

A proposal has not yet been provided

$66 USD in 1 day

4.9

(188 reviews)

6.5

@ognjen011

A proposal has not yet been provided

$136 USD in 1 day

5.0

(135 reviews)

6.6

@issi

I speak Russian and I know linear algebra. So I can rewrite your code to Matlab with understanding all its aspects .

$100 USD in 5 days

5.0

(57 reviews)

5.9

@The24CarrotsInc

A proposal has not yet been provided

$111 USD in 1 day

4.9

(26 reviews)

5.1

@navi1974

You do not need to convert your code to Matlab since Matlab already has top quality built-in function for that: > help eig eig Eigenvalues and eigenvectors. E = eig(X) is a vector containing the eigenvalues of a square matrix X. [V,D] = eig(X) produces a diagonal matrix D of eigenvalues and a full matrix V whose columns are the corresponding eigenvectors so that X*V = V*D. [V,D] = eig(X,'nobalance') performs the computation with balancing disabled, which sometimes gives more accurate results for certain problems with unusual scaling. If X is symmetric, eig(X,'nobalance') is ignored since X is already balanced. E = eig(A,B) is a vector containing the generalized eigenvalues of square matrices A and B. [V,D] = eig(A,B) produces a diagonal matrix D of generalized eigenvalues and a full matrix V whose columns are the corresponding eigenvectors so that A*V = B*V*D. eig(A,B,'chol') is the same as eig(A,B) for symmetric A and symmetric positive definite B. It computes the generalized eigenvalues of A and B using the Cholesky factorization of B. eig(A,B,'qz') ignores the symmetry of A and B and uses the QZ algorithm. In general, the two algorithms return the same result, however using the QZ algorithm may be more stable for certain problems. The flag is ignored when A and B are not symmetric. See also condeig, eigs, ordeig.

$10 USD in 0 day