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L1-MAGIC is a collection of MATLAB routines for solving the convex optimization programs central to compressive sampling. The algorithms are based on standard interior-point methods, and are suitable for large-scale problems
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这是一篇博士论文，中国知网上的，现在拿出来和大家分享-The Research Of Infeasible Interior Point Algorithms For Optimization
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原对偶内点法求解非线性最优化问题的测试程序，能准确快速的收敛到最优值-Primal dual interior point method for solving nonlinear optimization problem of the test procedure can accurately and quickly converge to the optimal value
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内点罚函数法，求解最优化问题规划，适用于mantlb程序-Interior point penalty function method for solving optimization problems planning procedures applicable to mantlb
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本案例为不等式约束最优化问题，采用罚函数法（内点法）。具体求解过程是用MATLAB编程求解的。-The Case for inequality constrained optimization problem using penalty function method (interior point method). Specific solution process is solved using MATLAB programming.
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原对偶内点法求解各种非线性方程组，以及非线性优化问题-Primal-dual interior point method for solving nonlinear equations and nonlinear optimization problem
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传统的幅度约束波束形成器是一个非凸问题，需将原始模型化为线性规划进行间接求解。该文针对均匀线阵提出一种相位响应固定幅度响应约束(PFMC)的稳健波束形成方法。利用权矢量逆序列对应的传递函数与阵列响
应函数只差一个相位因子这一性质，将阵列响应的相位设置为固定的线性相位，仅对阵列响应的实数幅度进行约束，从而得到一个凸的代价函数，最优权矢量可以利用内点法求出。-The conventional magnitude constraints beamformer is a non-convex iss
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使用内点法，解决凸优化问题，此方法(Interior Point Method)是一种求解线性规划或非线性凸优化问题的算法。(The interior point method is used to solve the convex optimization problem. This method (Interior, Point, Method) is an algorithm for solving linear programming or nonlinear convex optimi
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用于电力系统的最优潮流，使用内点法解决无功最优化问题(Use of interior point method to solve optimal reactive power optimization problem for power system optimal power flow)
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