search for: solvelp

Dear R team! =20 I found in HTML help for function solveLP(linprog) a small mistake. It says in Description "Minimizes c'x, subject to A x >=3D b and x >=3D 0", but tests show that there should be A x <=3D b. =20 Best regards, =20 Ludek =20 =20 [[alternative HTML version deleted]]

Full_Name: wfeng Version: 2.7 OS: windows xp Submission from: (NULL) (208.62.252.2) for solveLP(linprog), the program is specified as Minimizes c'x, subject to A x >= b and x >= 0. However, what I found is the actual constraints that works with the function are A x <= b and x >= 0.

...5 colums, 8 rows ) beq = Vector for linear equality constraints (8 rows vector) lb =Vector of lower bounds (45 rows) ub = Vector of upper bounds (45 rows) I have tryed the package "linprog" although i can?t find anyway to include the linear inequality constraints into the "solveLP" function. Can anyone please help me? -- View this message in context: http://r.789695.n4.nabble.com/Translation-of-Linear-minimization-probelm-from-matlab-to-r-tp4618123.html Sent from the R help mailing list archive at Nabble.com.

...mum number of stocks in the portfolio so length(weights)>some number I specify. Any help is GREATLY appreciated since I have tried so many different functions and packages. Even if someone can just lead me to the correct function to use that would be a great help as I've looked at optim, solveLP, ROI package and many others. Thanks, S [[alternative HTML version deleted]]

Dear all is there any linear programming routine available for R? if not, can you suggest any alternatives? not need to be very powerful, I get only a samll problem to resolve. many thanks yong

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Hi, I wrote a package for linear programming and want to submit it to CRAN. Since the package 'quadprog' has a function with the name 'solve.QP' to perform Quadratic Programming, I named my (main) function 'solve.LP'. However 'R CMD check' gives one warning: * checking generic/method consistency ... WARNING solve: function(a, b, ...) solve.LP:

Greetings I'm a total newbie in R and I'm trying to make a comparisson of Excel and R in the fields of: - optimisation modeling (using solver) - decision trees - simulation modeling as described in Winston, Wayne L.: Practical Management Science. for optimisation modeling in Excel I would normaly use solver. In R however I can't seem to be able to find the solution. I've