Sage Reference Manual: Numerical Optimization - Mirrors

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Sage Reference Manual: Numerical Optimization, Release 6.1.1 sage: p = MixedIntegerLinearProgram() sage: x, y = p[0], p[1] sage: p.add_constraint(x + y, max = 10) sage: p.add_constraint(x - y, max = 0) sage: p.add_constraint(x, max = 4) sage: p.show() Maximization: Constraints: x_0 + x_1
Sage Reference Manual: Numerical Optimization, Release 6.1.1 With the following instruction, all the variables from x will be binary: sage: p.set_binary(x) sage: p.set_objective(x[0] + x[1]) sage: p.add_constraint(-3*x[0] + 2*x[1], max=2) It is still possible, though, to set one of these variables as real while keeping the others as they are: sage: p.set_real(x[3]) set_integer(ee) Sets a variable or a MIPVariable as integer. INPUT: •ee – An instance of MIPVariable or one of its elements. EXAMPLE: sage: p = MixedIntegerLinearProgram() sage: x = p.new_variable() With the following instruction, all the variables from x will be integers: sage: p.set_integer(x) sage: p.set_objective(x[0] + x[1]) sage: p.add_constraint(-3*x[0] + 2*x[1], max=2) It is still possible, though, to set one of these variables as real while keeping the others as they are: sage: p.set_real(x[3]) set_max(v, max) Sets the maximum value of a variable. INPUT •v – a variable (not a MIPVariable, but one of its elements). •max – the maximum value the variable can take. When max=None, the variable has no upper bound. EXAMPLE: sage: p = MixedIntegerLinearProgram() sage: v = p.new_variable() sage: p.set_objective(v[1]) sage: p.get_max(v[1]) sage: p.set_max(v[1],6) sage: p.get_max(v[1]) 6.0 set_min(v, min) Sets the minimum value of a variable. INPUT: •v – a variable (not a MIPVariable, but one of its elements). •min – the minimum value the variable can take. When min=None, the variable has no lower bound. EXAMPLE: 2.2. Classes and methods 25
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CHAPTER SIX INDICES AND TABLES •
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BIBLIOGRAPHY [HPS08] J. Hoffstein,
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PYTHON MODULE INDEX n sage.numerica
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INDEX A add_col() (sage.numerical.b
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