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January 14, 2000, 13:55 |
windowsNT
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#1 |
Guest
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When clicking on the icon of program I sometimes have this message:
cannot find program.exe in C:/directory/ windownsNT need this program to run program.exe ??? Has anybody have this problem? I am really clicking ON the program icon (!) I have tryed everything (path, indexing, rename, move, from DOS prompt...) and it is the same...and of course the program is IN the directory...I am clicking on it(?!) I actually happens with 2 or 3 program thanks jy |
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January 14, 2000, 21:35 |
Re: windowsNT
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#2 |
Guest
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It's hard to diagnose without being there, but I'll throw out an idea. Is the path in the shortcut (icon) correct? Check by right clicking on the icon and selecting 'Properties'. The path that it is looking for is listed there.
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January 16, 2000, 09:24 |
Re: windowsNT
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#3 |
Guest
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Hello,
Yes it is. Everything looks fine. That is why I am turning to the forum to see if the same problem occured for somebody else. jy |
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February 1, 2000, 09:25 |
generalized eigenvalues
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#4 |
Guest
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Let us suppose that we want to solve this generalized eigenvalue problem: A*z=lambda*B*z where A and B are two (n*n) matrices in particular A is full-rank while B has one or more null (all zeros) rows. I'd like to know more algebraic details on this problems since the generalized spectrum has n-m eigenvalues and, consequently, n-m eigenvectors (to prove this apply directly the definition of characteristic polynomial) where m is the number of zero rows. Moreover I'd like to get more infos about the QZ algorithm which proved to find correctly the n-m eigenvalues but, of course, assigns infinity values to the m "phantom" eigenvalues. What about the corresponding eigenvectors especially when A is quasi rank deficient? Please contact me if you think you could be help to solve this non-classical problem of linear algebra and numerical analysis
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February 16, 2000, 11:46 |
Re: generalized eigenvalues
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#5 |
Guest
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notes and references on the solution to eigenvalue problem can be found in the MATLAB users guide under the EIG function. i suppose you could also try numerical recipes or other numerical linear algebra books for notes and references
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