Discrete Values And Optimization Model Features

Support efficient design optimization with discrete-value parameters that reflect real-world component selections. By enabling simulations that account for commercially available component values, designers can more accurately evaluate tradeoffs, streamline component selection, and accelerate convergence to performance targets. This approach helps improve design practicality, reduce iteration cycles, and increase confidence that optimized simulation results can be successfully implemented in hardware.

Discrete Part Values

Modelithics Microwave Global Models™ include a discrete part-value parameter that lets users set the model’s part value to a real-life manufacturer part value via a dropdown menu. setting this parameter to a discrete part value overrides the continuous part-value parameter.

Discrete Optimization can also be performed with Cadence® AWR Design Environment®

For more information on performing discrete optimizations in Cadence® AWR Design Environment®, check out Application Note 066, “Filter Design Using Discrete Part-Value Optimization in Cadence AWR Design Environment.”

Discrete Optimization

In Keysight Technologies’ Advanced Design System (ADS), the discrete part-value parameter includes a discrete optimization feature that makes it possible to perform optimizations in which part values are automatically adjusted to optimal manufacturer part values.

Discrete Optimization can also be performed with Keysight RF Synthesis (Genesys)

For more information on performing discrete optimizations in Keysight Genesys using the Vendor Parts Synthesis (VPS) feature, check out Application Note 076, “Utilizing the VPS Feature in Keysight Genesys”.

Cadence® AWR Design Environment® Discrete Part Value Optimization

Utilizing VPS feature in Keysight Genesys

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