Biased reduction method by combining improved modified pole clustering and improved Pade approximations

By Jay Singh, C. B. Vishwakarma, Kalyan Chattterjee. 2016

98 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Statistical and Nonlinear Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/957e4e36aef568adc801b1442d4fa500bc00ebe6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Rajendra Prasad
2. Arvind Kumar Prajapati

In Statistical and Nonlinear Physics

1. Arvind Kumar Prajapati
2. Rajendra Prasad
3. C. B. Vishwakarma
4. Rajendra Prasad

In Statistics and Probability

1. Arvind Kumar Prajapati
2. Rajendra Prasad
3. C. B. Vishwakarma
4. Rajendra Prasad

Citations in the corpus

• Model Reduction Using the Balanced Truncation Method and the Padé Approximation Method (2020, methodology): “This method is further modified by applying the improved pole clustering and improved Padé approximation methods [29].”
• Model Order Reduction by Using the Balanced Truncation and Factor Division Methods (2018, methodology): “This method was further modified by using improved pole clustering and improved Padé approximation methods [18].”