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    • 1. 发明授权
    • Integrating interval constraint propagation with nonlinear real arithmetic
    • 将间隔约束传播与非线性实数算法相结合
    • US08538900B2
    • 2013-09-17
    • US12966710
    • 2010-12-13
    • Malay K. GanaiSicun GaoFranjo IvancicAarti Gupta
    • Malay K. GanaiSicun GaoFranjo IvancicAarti Gupta
    • G06F15/18G06F7/60
    • G06N5/003
    • A system and method for deciding the satisfiability of a non-linear real decision problem is disclosed. Linear and non-linear constraints associated with the problem are separated. The feasibility of the linear constraints is determined using a linear solver. The feasibility of the non-linear constraints is determined using a non-linear solver which employs interval constraint propagation. The interval solutions obtained from the non-linear solver are validated using the linear solver. If the solutions cannot be validated, linear constraints are learned to refine a search space associated with the problem. The learned constraints and the non-linear constraints are iteratively solved using the non-linear solver until either a feasible solution is obtained or no solution is possible.
    • 公开了一种用于确定非线性真实决策问题的可满足性的系统和方法。 与问题相关联的线性和非线性约束是分开的。 使用线性求解器确定线性约束的可行性。 使用采用间隔约束传播的非线性求解器来确定非线性约束的可行性。 使用线性求解器验证从非线性求解器获得的间隔解。 如果解决方案无法验证,则学习线性约束来优化与问题相关联的搜索空间。 使用非线性求解器迭代地求解所学习的约束和非线性约束,直到获得可行解或者没有解是可行的。
    • 2. 发明申请
    • INTEGRATING INTERVAL CONSTRAINT PROPAGATION WITH NONLINEAR REAL ARITHMETIC
    • 用非线性实数算法来整合间隔约束传播
    • US20110173148A1
    • 2011-07-14
    • US12966710
    • 2010-12-13
    • MALAY K. GANAISicun GaoFranjo IvancicAarti Gupta
    • MALAY K. GANAISicun GaoFranjo IvancicAarti Gupta
    • G06N5/02
    • G06N5/003
    • A system and method for deciding the satisfiability of a non-linear real decision problem is disclosed. Linear and non-linear constraints associated with the problem are separated. The feasibility of the linear constraints is determined using a linear solver. The feasibility of the non-linear constraints is determined using a non-linear solver which employs interval constraint propagation. The interval solutions obtained from the non-linear solver are validated using the linear solver. If the solutions cannot be validated, linear constraints are learned to refine a search space associated with the problem. The learned constraints and the non-linear constraints are iteratively solved using the non-linear solver until either a feasible solution is obtained or no solution is possible.
    • 公开了一种用于确定非线性真实决策问题的可满足性的系统和方法。 与问题相关联的线性和非线性约束是分开的。 使用线性求解器确定线性约束的可行性。 使用采用间隔约束传播的非线性求解器来确定非线性约束的可行性。 使用线性求解器验证从非线性求解器获得的间隔解。 如果解决方案无法验证,则学习线性约束来优化与问题相关联的搜索空间。 使用非线性求解器迭代地求解所学习的约束和非线性约束,直到获得可行解或者不可能得到解。