On Friday, January 20, 2017 at 2:32:12 PM UTC, Dima Pasechnik wrote: > > > > On Friday, January 20, 2017 at 12:31:40 PM UTC, [email protected] wrote: >> >> Thanks, I'm going to install the newest version of Sage. and `dsdp` is >> supported also by default in the cvxopt of sage? >> > > no, dsdp is not supported by default. >
In fact, we can include DSDP in sage with only a small effort. IIRC, some years ago DSDP did not have any license in its distro, which made it quite unclear as to who can use it and how. (Or I overlooked it) Do you need to solve semidefinite optimisation problems (SDP)? > What are the optimisation problems you are solving? > Sage does have a much better (mixed integer) linear programming interface > > http://doc.sagemath.org/html/en/thematic_tutorials/linear_programming.html#linear-programming > http://doc.sagemath.org/html/en/reference/numerical/sage/numerical/mip.html > > than the one via cvxopt; it has many backends available, including > backends to commercial > solvers such as CPLEX etc. > > It also has a similar interface for SDP, see > http://doc.sagemath.org/html/en/reference/numerical/sage/numerical/sdp.html > (although the only backend available ATM is cvxopt) > Sage also provides csdp as a package, although one cannot at present use it as the backend to the SDPs frontend. Someone has to work on this... > > >> >> On Friday, January 20, 2017 at 1:26:16 PM UTC+1, Dima Pasechnik wrote: >>> >>> There is something broken in your sage installation; for me the >>> following works: >>> >>> c=vector(RDF,[-4,-5]) >>> G=matrix(RDF,[[2,1],[1,2],[-1,0],[0,-1]]) >>> h=vector(RDF,[3,3,0,0]) >>> sol=linear_program(c,G,h,solver='glpk') >>> sol['x'] >>> >>> ouput is >>> >>> GLPK Simplex Optimizer, v4.60 >>> 4 rows, 2 columns, 6 non-zeros >>> * 0: obj = 0.000000000e+00 inf = 0.000e+00 (2) >>> * 2: obj = -9.000000000e+00 inf = 0.000e+00 (0) >>> OPTIMAL LP SOLUTION FOUND >>> (1.0, 1.0) >>> >>> In fact, BUILD_GLPK is set to 1 in the patch applied to cvxopt's >>> setup.py at the time sage's cvxopt package >>> is built, see build/pkgs/cvxopt/patches/setup.py.patch >>> >>> We will add a test in the docs, cf. >>> https://trac.sagemath.org/ticket/22217 that I just opened. >>> >>> >>> On Friday, January 20, 2017 at 12:11:37 PM UTC, Dima Pasechnik wrote: >>>> >>>> >>>> >>>> On Friday, January 20, 2017 at 11:44:46 AM UTC, [email protected] >>>> wrote: >>>>> >>>>> When I run a program it tells me that >>>>> `ValueError: invalid option (solver = 'glpk'): cvxopt.glpk is not >>>>> installed`. >>>>> >>>>> Then I try to install cvxopt with glpk from source. That is, change >>>>> BUILD_GLPK to 1 in the setup.py and then `python setup.py install` in the >>>>> sage shell. But it gives me error that >>>>> `error: command 'gcc' failed with exit status 1`. >>>>> >>>> >>>> This actually should be fixed properly, in the sense that both glpk and >>>> cvxopt are standard Sage packages, and so nothing should prevent >>>> BUILD_GLPK=1 in cvxopt settings. >>>> >>>> In fact, I am under impression that it was working in the past, see >>>> (very old) >>>> https://trac.sagemath.org/ticket/9598 and >>>> https://trac.sagemath.org/ticket/6456 >>>> >>>> >>>> -- You received this message because you are subscribed to the Google Groups "sage-support" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/sage-support. For more options, visit https://groups.google.com/d/optout.
