Is it possible to solve quadratic inequalities with MILP? Trying to do so I
get an error:
sage: p = MixedIntegerLinearProgram(maximization=False, solver='GLPK')
sage: x = p.new_variable(integer=False)
sage: eq = x[5] * x[0] + x[6] * x[1] + x[7] * x[2] + x[8] * x[3] + x[9] * x[
4]; eq
x_1 x_0 +x_3 x_2 +x_5 x_4 +x_7 x_6 +x_9 x_8
sage: p.add_constraint(eq <= 2)
Traceback (most recent call last): File "<stdin>", line 1, in <module> File
"_sage_input_160.py", line 10, in <module> exec
compile(u'open("___code___.py","w").write("#
-*- coding: utf-8 -*-\\n" +
_support_.preparse_worksheet_cell(base64.b64decode("cC5hZGRfY29uc3RyYWludChlcSA8PSAyKQ=="),globals())+"\\n");
execfile(os.path.abspath("___code___.py")) File "", line 1, in <module>
File "/tmp/tmpAdb8Fi/___code___.py", line 3, in <module> exec compile(u'p.
add_constraint(eq <= _sage_const_2 ) File "", line 1, in <module> File
"mip.pyx", line 1063, in
sage.numerical.mip.MixedIntegerLinearProgram.add_constraint
(sage/numerical/mip.c:6240) File "mip.pyx", line 1054, in sage.numerical.mip
.MixedIntegerLinearProgram.add_constraint (sage/numerical/mip.c:6123) File
"glpk_backend.pyx", line 411, in sage.numerical.backends.glpk_backend.
GLPKBackend.add_linear_constraint (sage/numerical/backends/glpk_backend.cpp:
3722) AttributeError: LinearFunction instance has no attribute '__float__'
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