Model Order Reduction With Parametric Port Formulation
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Bibliographic record
Abstract
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper presents a new method for obtaining the congruence transformation matrix for model order reduction of linear interconnect systems with large numbers of constrained ports. Model order reduction techniques have proven to be very effective for the simulation of large interconnect networks. However, using current model order reduction techniques, the size of the reduced system grows rapidly as the number of ports increases. This leads to a severe reduction in efficiency. In this paper, a new method is proposed, which is based on imposing practical restrictions on the loads that can be connected to the ports of the network. Specifically, constrained ports terminated by combined resistive and capacitive loads are considered. The reduction matrix is then computed while exploiting the information on the constrained ports and utilizing parametric model order reduction techniques, the resulting reduced model is significantly smaller than standard reduced models. Examples are presented that demonstrate the accuracy and efficiency of the new method. </para>
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it