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Mixed Quasi Newton Method for Simulation of Analog Circuits with Mixed Level Models

机译:混合准模型模拟电路的混合拟牛顿法

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摘要

Mixed Quasi Newton simulation algorithm that is capable of calculating analog circuits containing mixed level of element models is presented. Conventional circuit simulators usually apply Newton method to solve nonlinear system equations resulted from circuit equations. At each Newton iteration step, it is necessary to reevaluate the Jacobian stamp of circuit elements. However, obtaining the Jacobian stamp of elements described by complex behavior models is a computationally expensive process. To reduce the number of Jacobian evaluations, we combine Newton method and Quasi-Newton method as a new updating scheme. The simulation results show that our algorithm can reduce the number of Jacobian evaluations and improve the simulation time, particularly when simulating circuits containing many behavior model elements.
机译:提出了一种混合拟准牛顿仿真算法,该算法能够计算包含元素模型混合级的模拟电路。传统的电路模拟器通常采用牛顿法来求解由电路方程产生的非线性系统方程。在每个牛顿迭代步骤中,必须重新评估电路元件的雅可比标记。但是,获得由复杂行为模型描述的元素的雅可比标记是一个计算昂贵的过程。为了减少Jacobian评估的次数,我们将牛顿法和拟牛顿法相结合作为一种新的更新方案。仿真结果表明,我们的算法可以减少Jacobian评估的次数并缩短仿真时间,特别是在仿真包含许多行为模型元素的电路时。

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