Interior-point methods constitute a robust class of algorithms for solving constrained optimisation problems by exploring the interior of the feasible region instead of traversing its boundary. These ...

为解决电动汽车双向充电器中LLC谐振DC-DC变换器的效率与稳定性问题，研究人员提出了一种基于内点算法（Interior-Point Algorithm）的优化策略，通过优化谐振槽参数（Cr、Lr和Lm），扩展软开关区域并降低开关损耗。研究结果表明，该方法在宽电压（240V-430V）和功率 ...

PROC NETFLOW uses the Primal Simplex Network algorithm and the Primal Partitioning Algorithm to solve constrained network problems. These algorithms are fast, since they take advantage of algebraic ...

Data for a linear programming problem resembles the data for side constraints and nonarc variables supplied to PROC NETFLOW when solving a constrained network problem. It is also very similar to the ...