Tài liệu Modeling Of Data part 7 pptx

... Science vol. 1, pp. 54 77 . [2] Avni, Y. 1 976 , Astrophysical Journal , vol. 210, pp. 642–646. [3] Lampton, M., Margon, M., and Bowyer, S. 1 976 , Astrophysical Journal , vol. 208, pp. 177 –190. Brownlee, ... fractionally small departures for all data points, or else fractionally large departures for a small number of data points. It is the latter interpretation, leading to the notion...

Ngày tải lên: 15/12/2013, 04:15

... call 1-800- 872 -74 23 (North America only),or send email to trade@cup.cam.ac.uk (outside North America). Chapter 15. Modeling of Data 15.0 Introduction Given a set of observations, one often wants ... underlying theory that the data are supposed to satisfy; examples are coefficients of rate equations in a complex network of chemical reactions, or orbital elements of a binary...

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... float *xx,*yy,*sx,*sy,*ww,aa,offs; float chixy(float bang) Captive function of fitexy , returns the value of (χ 2 − offs ) for the slope b=tan(bang) . Scaled data and offs are communicated via the ... answers. *b=tan(*b)/scale; free_vector(ww,1,ndat); free_vector(sy,1,ndat); free_vector(sx,1,ndat); free_vector(yy,1,ndat); free_vector(xx,1,ndat); } 670 Chapter 15. Modeling of Data...

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... Notice that the evaluation of the right-hand side of (15 .7. 16) occurs in the function rofunc, with communication via global (top-level) variables. 70 4 Chapter 15. Modeling of Data Sample page from ... *arr,d,sum=0.0; arr=vector(1,ndatat); for (j=1;j<=ndatat;j++) arr[j]=yt[j]-b*xt[j]; if (ndatat & 1) { aa=select((ndatat+1)>>1,ndatat,arr); } else { j=ndatat >> 1...

Ngày tải lên: 15/12/2013, 04:15

... correct one, and a statistical universe of data sets that are drawn from it! 658 Chapter 15. Modeling of Data Sample page from NUMERICAL RECIPES IN C: THE ART OF SCIENTIFIC COMPUTING (ISBN 0-521-43108-5) Copyright ... are often taught, rather casually, that, on average, measurements will fall within ±σ of the true value 68 percent of the time, within ±2σ 95 percent of the ti...

Ngày tải lên: 15/12/2013, 04:15

... ,M (15.1 .7) Equation (15.1 .7) is, in general, a set of M nonlinear equations for the M unknown a k . Various of the procedures described subsequently in this chapter derive from (15.1 .7) and its ... [1] 15.2 Fitting Data to a Straight Line A concrete example will make the considerations of the previous section more meaningful. We consider the problem of fitting a set of N data...

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... Sections 10 .7 and 10.6 concerned themselves with two different techniques for buildingup this information. 672 Chapter 15. Modeling of Data Sample page from NUMERICAL RECIPES IN C: THE ART OF SCIENTIFIC ... you can save a factor of 3 on the linear algebra by switching to LU decomposition, without 674 Chapter 15. Modeling of Data Sample page from NUMERICAL RECIPES IN C: T...

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... method, attempting to reduce the value χ 2 of a fit between a set of data points x[1 ndata] , y[1 ndata] with individual standard deviations sig[1 ndata] , and a nonlinear function dependent on ma coefficients a[1 ... and alamda de- creases by a factor of 10. If a step fails alamda grows by a factor of 10. You must call this 686 Chapter 15. Modeling of Data Sample page from NUMER...

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... region of integration, plus a method of determining whether a random point is inside or outside the region of integration. Monte Carlo integration evaluates the function at a random sample of points, ... level of sophistication of this book) quit: It is hopeless to expect an integration routine to search out unknown pockets of large contribution in a huge N-dimensional space. (B...

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... Springer-Verlag), § 3 .7, p. 152. 4.5 Gaussian Quadratures and Orthogonal Polynomials In the formulas of §4.1, the integral of a function was approximated by the sum of its functional values at a set of equally ... { sig[k][l]=sig[k-1][l+1]+(alpha[l-1]-a[k-2])*sig[k-1][l]- b[k-2]*sig[k-2][l]+beta[l-1]*sig[k-1][l-1]; } a[k-1]=alpha[k-1]+sig[k][k+1]/sig[k][k]-sig[k-1][k]/sig[k-1][k-1];...

Ngày tải lên: 15/12/2013, 04:15