QuadraticProgram

class QuadraticProgram(name='')

Bases: object

Quadratically Constrained Quadratic Program representation.

This representation supports inequality and equality constraints, as well as continuous, binary, and integer variables.

প্যারামিটার:

name (str) -- The name of the quadratic program.

Attributes

linear_constraints	Returns the list of linear constraints of the quadratic program.
linear_constraints_index	Returns the dictionary that maps the name of a linear constraint to its index.
name	Returns the name of the quadratic program.
objective	Returns the quadratic objective.
quadratic_constraints	Returns the list of quadratic constraints of the quadratic program.
quadratic_constraints_index	Returns the dictionary that maps the name of a quadratic constraint to its index.
status	Status of the quadratic program.
variables	Returns the list of variables of the quadratic program.
variables_index	Returns the dictionary that maps the name of a variable to its index.

Methods

binary_var([name])	Adds a binary variable to the quadratic program.
binary_var_dict(keys[, name, key_format])	Uses 'var_dict' to construct a dictionary of binary variables
binary_var_list(keys[, name, key_format])	Uses 'var_list' to construct a list of binary variables
clear()	Clears the quadratic program, i.e., deletes all variables, constraints, the objective function as well as the name.
continuous_var([lowerbound, upperbound, name])	Adds a continuous variable to the quadratic program.
continuous_var_dict(keys[, lowerbound, ...])	Uses 'var_dict' to construct a dictionary of continuous variables
continuous_var_list(keys[, lowerbound, ...])	Uses 'var_list' to construct a list of continuous variables
export_as_lp_string()	Returns the quadratic program as a string of LP format.
from_ising(qubit_op[, offset, linear])	Create a quadratic program from a qubit operator and a shift value.
get_feasibility_info(x)	Returns whether a solution is feasible or not along with the violations.
get_linear_constraint(i)	Returns a linear constraint for a given name or index.
get_num_binary_vars()	Returns the total number of binary variables.
get_num_continuous_vars()	Returns the total number of continuous variables.
get_num_integer_vars()	Returns the total number of integer variables.
get_num_linear_constraints()	Returns the number of linear constraints.
get_num_quadratic_constraints()	Returns the number of quadratic constraints.
get_num_vars([vartype])	Returns the total number of variables or the number of variables of the specified type.
get_quadratic_constraint(i)	Returns a quadratic constraint for a given name or index.
get_variable(i)	Returns a variable for a given name or index.
integer_var([lowerbound, upperbound, name])	Adds an integer variable to the quadratic program.
integer_var_dict(keys[, lowerbound, ...])	Uses 'var_dict' to construct a dictionary of integer variables
integer_var_list(keys[, lowerbound, ...])	Uses 'var_list' to construct a list of integer variables
is_feasible(x)	Returns whether a solution is feasible or not.
linear_constraint([linear, sense, rhs, name])	Adds a linear equality constraint to the quadratic program of the form:
maximize([constant, linear, quadratic])	Sets a quadratic objective to be maximized.
minimize([constant, linear, quadratic])	Sets a quadratic objective to be minimized.
prettyprint([wrap])	Returns a pretty printed string of this problem.
quadratic_constraint([linear, quadratic, ...])	Adds a quadratic equality constraint to the quadratic program of the form:
read_from_lp_file(filename)	Loads the quadratic program from a LP file.
remove_linear_constraint(i)	Remove a linear constraint
remove_quadratic_constraint(i)	Remove a quadratic constraint
substitute_variables([constants, variables])	Substitutes variables with constants or other variables.
to_ising()	Return the Ising Hamiltonian of this problem.
write_to_lp_file(filename)	Writes the quadratic program to an LP file.