| 1. | Fixed iterative method for solving the inequality constrained quadratic programming problem
不等式约束二次规划的不动点迭代 |
| 2. | A feasible sqp algorithm with superlinear convergence for inequality constrained optimization
不等式约束优化一个具有超线性收敛的可行序列二次规划算法 |
| 3. | With the homotopy method we solved the non - convex nonlinear programming with equality and inequality constrains
摘要使用同伦算法研究混合约束的非凸非线性规划问题。 |
| 4. | In this thesis , we extend the entropy regularization method in two ways : from the min - max problem to general inequality constrained optimization problems and from the entropy function to more general functions
本文从两个方面发展了这种熵正则化方法，即将其从极大极小问题推广到一般不等式约束优化问题上和用一般函数代替熵函数作正则项，建立新的正则化方法。 |
| 5. | This optimizing method had been used successfully in full - scale aircraft testing . 6 ) in the global equilibrating , a modified lagrange multiplier method had bring forward . this method can solve inequality constrained optimizer problems
在整体平衡中，提出了改进的拉格朗日乘数法，成功地解决了含不等式约束条件的优化问题，该方法具有计算简单，收敛速度快等特点。 |
| 6. | We apply these dual algorithms to solve a large number of nonlinear optimization problems with relative small scale , including inequality constrained optimization problems , unconstrained minimax problems and general constrained optimization problems
用这些算法计算大量的规模不是很大的不等式约束优化问题，无约束极大极小问题，一般约束优化问题，数值结果表明它们是有效的 |
| 7. | This paper introduce an analytic method of incorporating state variable inequality constrains in the kalman filter . the incorporating state variable inequality constrains can improves the estimation accuracy and strong the performance of restraining the noise
本文还提出了用约束卡尔曼滤波的方法改进跟踪滤波器，增强滤波器抑制噪声的能力，并给出了约束卡尔曼的基本理论、研究了方法的可行性。 |
| 8. | The applications of shannon entropy and kullback ' s cross - entropy as perturbations are discussed . by maximizing the perturbed lagrangians in dual space , we obtain the exponential penalty function and exponential multiplier penalty function , respectively , for inequality constrained nlps
文中分别以shannon熵函数和kullback叉熵函数作为摄动函数，导出其对偶函数分别是原问题的指数罚函数和指数乘子罚函数。 |
| 9. | It is difficult to analytically solve the inequality constrained nlps in the dual space , due to the linear lagrangian . a perturbed ( regularized ) lagrangjan approach is proposed , which provides an analytic solution of the dual variables in terms of primal variables
然后针对带不等式约束的非线性规划问题，给出一个lagrange正则化(摄动)方法，该方法有效地克服了线性lagrange函数难于在对偶变量空间直接求解的困难。 |
| 10. | To the inequality constrained least squares adjustment problem , this paper converts many inequality constraints into one equality constraint by using aggregate function of non - linear programming ; a basic augmented lagrangean algorithm can obtain the solutions for equality constrained non - linear programming problem and the solutions are identical to those obtained by the bayesian method and / or simplex algorithm
摘要对不等式约束最小二乘平差问题，借助非线性规划中的凝聚约束方法把多个不等式约束转化为一个等式约束，采用拉格朗日极值法求解，解与贝叶斯解或单纯形解一致。 |
