cplex

问题 I have to run the same optimization model many times with different parameters for research purposes. (I am trying to observe the results I'll get off a single model when I increase a parameter) The easiest way for me to do is to use Excel Macros as it would take me forever to solve each model one by one and record the results. However I have no idea how I will make VBA call the CPLEX Solver and read all my parameters from my excel sheet and write the results back there. If I am to put what I

问题 I am trying to install CPLEX for python from the setup.py file existing in ILOG directory. I am working on windows 8 32bit and python 2.7. I am using this command for installing: python setup.py install But I get this error, error: could not create 'build': access is denied. Is it due to the permission? How can I fix this? thanks 回答1: I have no idea about CPLEX but processes in windows8 usually don't get write access to certain directories. You could try to make your call "python setup.py

问题 I am trying to install CPLEX for python from the setup.py file existing in ILOG directory. I am working on windows 8 32bit and python 2.7. I am using this command for installing: python setup.py install But I get this error, error: could not create 'build': access is denied. Is it due to the permission? How can I fix this? thanks 回答1: I have no idea about CPLEX but processes in windows8 usually don't get write access to certain directories. You could try to make your call "python setup.py

问题 I am dealing with big matrices and time to time my code ends with 'killed:9' message in my terminal. I'm working on Mac OSx. A wise programmer tells me the problem in my code is liked to the stored matrix I am dealing with. nn = 35000 dd = 35 XX = np.random.rand(nn,dd) XX = XX.dot(XX.T) #it should be faster than np.dot(XX,XX.T) yy = np.random.rand(nn,1) XX = np.multiply(XX,yy.T) I have to store this huge matrix XX, my guess: I split the matrix with upp = np.triu(XX) Do I actually save space

问题 I am trying to install Rcplex on MAC but I am running into very strange error. I ran the following command on terminal: R CMD INSTALL --configure-args=" \ --with-cplex-lib='/Applications/CPLEX_Studio_Community129/cplex/lib/x86-64_osx/static_pic/' \ --with-cplex-include='/Applications/CPLEX_Studio_Community129/cplex/include/' \ --with-cplex-link='-lcplex -m64 -lm -pthread' \ --with-cplex-check='/Applications/CPLEX_Studio_Community129/cplex/examples/src/c' \ --with-cplex-cflags='-m64 -fPIC'" \

问题 I am trying to load a CPLEX LP file in to CPLEX using the "read" command. I believe that in this problem, I have a set of constraints that are quadratic. But, from what I understand CPLEX will still attempt to solve quadratic programming problems. However, when I try to read it in, I get this error: CPLEX Error 1437: Line 284: Illegal quadratic constraint sense. Is there something special I need to do to read in a quadratic programming problem? NOTE: I am able to load this LP file in to scip

问题 I'm currently writing a MEX file in MATLAB that uses the CPLEX API in C to solve linear programming problems. Unfortunately, I run into a "symbol(s) not found for architecture x86_64" problem when I attempt to compile and I have no idea of how to solve it. Some basic information: I can compile yprime.c and other MEX files that do not use the CPLEX API I am using MATLAB 2011b on Mac OSX 10.7.2 I am using the GCC 4.2 package included in XCode 4.2. I already applied the XCode 4.2 Patch for

问题 I am using IBM CPLEX library for an optimization problem in Java. Since main memory was not enough for the application I found a property of CPLEX : "Memory emphasis: letting the optimizer use disk for storage". Default value for Memory Emphasis is 0. How can I change this property in Java? for (int i = 0; i < GreenOverlayGlobals.numNodes; i++) { for (int j = 0; j < GreenOverlayGlobals.numNodes; j++) { IloLinearNumExpr expr2 = cplex.linearNumExpr(); for (int p = 0; p < GreenOverlayGlobals

问题 I have to solve the following problem using CPLEX Java API: I need to write a condition that will return a minimum of a set of integer variables (let's say x[i], i=1,2,...,n) but considering only the positive ones. In other words: min{x[i] | x[i]>0} I know that CPLEX has the minimum function, but the problem is how to pass it the mentioned condition. 回答1: Create a single continuous variable. Add constraints that this new variable must be <= all of the integer variables. Then just maximise the

问题 I am trying to run python scripts on a HPC machine (RedHatEntrepriseServer). CPLEX module is already installed by adminastrators but I still have this error in importing cplex module in python. ImportError: No module named 'cplex' I know it is common error and I found that I may need to update PYTHONPATH variable with cplex home directory, but I can't find this home directory. Does anyone have an idea or suggestion to solve this problem?! Many thanks! 回答1: As mentioned in the comments,