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where ~x is the coarse grid sampling, ~x = n1~x, and ~x is the dense grid sampling. Thus we use this averaging for the second terms of both (5.2.20) and (5.2.21). Equation (5.2.13) becomes

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[~a:nnu(xn) + ~b:nn'Mxn)] + [t,a~~u(x~) + tb~~~'(X~)]

= 1/Jinc(X m )

(5.2.30)

In (5.2.30) we use subscript "intp" to represent linear interpolation. Note in (5.2.30) that L::~g1 a:nnu(xn) has N dg values of m = 1,2, ... , N dg , while L:~=1 a~!il(x(3) only has N values ofa = 1,2, ... , N. Thus we first compute

(3=1

Objects are things People, companies, employees, time sheets, and ledger entries are all types of objects In object-oriented terms, the word object is used to describe one speci c thing, such as Sam Smith the carpenter at 3322 Main Street and the May 15th time sheet for Jessica Jones Objects have data associated with them called properties Sam Smith has a name, occupation, and address The time sheet has an employee name, time period, and hours worked

a~(3u(x(3) = d(x a )

(5.2.30a)

Approximately 40 percent of Canada s biotech revenues in 2002 were derived from agricul ture Diagnostics was third, accounting for 10 percent of biotech rms, down from 22 percent in 1997 Although Canada doesn t host corporate headquarters for any of the major multinational pharmaceutical compa nies, Merck, Astra, Hoechst Marion Roussel, Amgen, Lilly, and GlaxoSmithKline do have production facilities in Canada The medical biotech industry is robust, given the public health-care in frastructure of medical research facilities and medically-oriented Networks of Centers of Excellence Many of the landmark discoveries in medicine, such as the discovery of Insulin in treating diabetes, were made in Cana dian medical research centers Canada s biotech computing industry is strengthened by programs such as the Genome Canada Initiative and the country s overall computing infrastructure The $194 million initiative focuses on functional genomic activities, genomic sequencing, genotyping, and other bioinformatics com puting.

for a = 1,2, , N on the coarse grid. To find d(x m ) on the dense grid of X m , m = 1,2, ,Ndg , we use linear interpolation of d(xa)'s to get d(xm)'s. We further use BMIAjCAG to solve matrix equation. We divide nonnear-field interactions into two regions which are separated by Td. We now have three distance ranges for the upper medium Green's function, 0 :S T :S Tj, Tj < T :S Td, and T > Td with different operations. For 0 :S T :S Tj known as very near-field region, we use direct matrix and column vector product on the dense grid. For Tj < T :S Td known as near-field region, we use direct matrix and column vector product on the coarse grid and interpolation as in (5.2.30). For T > Td known as non-near-field region, we expand aa(3 and ba (3 in Taylor series as in the BMIAjCAG so that the FFTs can be used to compute this part of the matrix-vector multiplication. The Taylor series expansion is as in Section 1

(kVX~+Z~) ~ ~ Om(Xd)

1

(5.2.31)

After the matrix equation is solved, the surface field can be calculated. The bistatic scattering coefficient ()( Bs , B ) for the spectral domain tapered wave i is given in (4.1.57). We next illustrate the numerical simulation results of wave scattering from a rough lossy dielectric surface for both TE and TM waves [Tsang and

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