'Polynomial approximation' diaporamas de présentation

Solution multiplicity in the catalytic pellet reactor

Solution multiplicity in the catalytic pellet reactor. LPPD seminar Kedar Kulkarni 04/19/2007 Advisor: Prof. Andreas A. Linninger Laboratory for Product and Process Design , Department of Chemical Engineering, University of Illinois, Chicago, IL 60607, U.S.A.

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Lecture 5 Polynomial Approximation

Lecture 5 Polynomial Approximation. Polynomial Interpolation Example Limitation Polynomial Approximation (fitting) Line fitting Quadratic curve fitting Polynomial fitting. Polynomials. Polynomial determined by zeros in [-4,0,3]. P=poly([-4 0 3]);. Plot polynomial P. x=linspace(-5,5);

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Splines

Splines. Vida Movahedi January 2007. Outline. Piecewise polynomials Splines Two approaches B-splines Multivariate functions Examples. What problem splines solve?.

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MA557/MA578/CS557 Lecture 24

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Uncertainties in fluid-structure interaction simulations

Uncertainties in fluid-structure interaction simulations. Hester Bijl Aukje de Boer, Alex Loeven, Jeroen Witteveen, Sander van Zuijlen. Faculty of Aerospace Engineering. Some Fluid-Structure Interactions. Flexible wing motion simulation. Flow: CFD.

492 views • 25 slides

Chapter 3 Interpolation and Polynomial Approximation

Chapter 3 Interpolation and Polynomial Approximation. 4.3 Lagrange Approximation. 1.3.1 Error Terms and Error Bounds. 1.3.2 Comparison of Accuracy and O(h N+1 ). function [C,L]=lagran(X,Y) w=length(X); n=w-1; L=zeros(w,w); for k=1:n+1 V=1; for j=1:n+1 if k~=j

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6. Dynamic Response Characteristics of More Complicated Systems

6. Dynamic Response Characteristics of More Complicated Systems. Contents 1. Poles and Zeros and Their Effects on System Response. 2. Time Delays. 3. Approximation of Higher-Order Systems. 4. Interacting and Noninteracting Processes. 5. Multiple-Input, Multiple-Output Processes. Example).

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Chapter 3 Interpolation and Polynomial Approximation

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Optimization of functions of one variable (Section 2)

Optimization of functions of one variable (Section 2). Find minimum of function of one variable Occurs directly Part of iterative algorithm (line search) Unimodal function, single optimum -- step toward optimum results in reduction of objective function along the path. Two methods.

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Direct-Drive Power Take Off R. Crozier, M. Mueller

Figure 2. Comparison of flux density values above the translator for 100 randomly chosen machine configurations reported by FEA and approximation. W m. Moving Translator. W p. Coil. Flux Density Reported By Polynomials (T). N S. N S. N S. Flux Density Reported By FEA (T). R m. R i.

121 views • 1 slides