A computationally efficient reduced order model to generate multi-parameter fluid-thermal databases

A computationally efficient reduced order model to generate multi-parameter fluid-thermal databases

A reduced order model (ROM) is proposed to generate multi-parameter databases of some fluid-thermal problems, using a combination of proper orthogonal decomposition, a gradient-like method, and a continuation method. The resulting ROM greatly reduces the CPU time required by slower methods based on genetic algorithm formulations. As a byproduct, the number of required snapshots is also reduced,...

A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization

Due to increasing interest in solving real-world optimization problems using evolutionary algorithms (EAs), researchers have recently developed a number of real-parameter genetic algorithms (GAs). In these studies, the main research effort is spent on developing an efficient recombination operator. Such recombination operators use probability distributions around the parent solutions to create ...

A method to construct reduced-order parameter varying models

This paper describes a method to construct reduced-order models for high dimensional nonlinear systems. It is assumed that the nonlinear system has a collection of equilibrium operating points parameterized by a scheduling parameter. First, a reduced-order linear system is constructed at each equilibrium point using input/output data. This step combines techniques from dynamic mode decompositio...

The Reduced Order Model Problem in Distributed Parameter Systems Adaptive

A computationally efficient multipitch analysis model

A computationally efficient model for multipitch and periodicity analysis of complex audio signals is presented. The model essentially divides the signal into two channels, below and above 1000 Hz, computes a “generalized” autocorrelation of the low-channel signal and of the envelope of the high-channel signal, and sums the autocorrelation functions. The summary autocorrelation function (SACF) ...