Many thanks!

Usually, I calculate some numbers of graph. Some are linear ones and some 
are SDP ones. I'm more familiar with Python, so I want to still to use it 
in sage as more as possible. 

On Friday, January 20, 2017 at 3:45:42 PM UTC+1, Dima Pasechnik wrote:
>
>
>
> 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
>>>>>
>>>>>
>>>>>

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