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This is reinforced by projections from groups such as JupiterResearch, stating that an increase of 38 percent more people will actively use the Internet by 2011 that is roughly 22 percent of the world s population or 1.4 billion people (using the current world population estimate).4 The majority of these new users will be found in China, India, Brazil, and Russia.5 The total effect of such a massive new user population will be muted if the network itself becomes exclusive and private, as is the case in some industries and communities that develop private or dark networks. A balance will be required where these networks either are developed on secondary networks not part of the public Internet, similar to leased lines and frame relay clouds, or are supported by priority processing through monetary perks paid to service providers. The most immediate impacts will come from India and China, as the citizens, companies, and countries further rely on the Internet. The Internet will double and triple in size, complexity, information, and users over the next five years. The level of growth may be measured in several complex ways, but a simple way is to count the number of hostnames (systems/machines) online, which has grown nearly 400 percent over the past seven years .6 The expected increase will impact the backbone infrastructure that businesses around the globe rely on for communication, commerce, and production. Beyond the dramatic increase in traffic, the reliance on the medium will become more essential. Even today international communications between parties and the near-real-time response times allow for individuals around the world to work and collaborate. So much of the global commerce and expansion is becoming reliant on this nascent global network that organizations, nations, and entrepreneurs must recognize the value and importance of this critical business platform.

Before you can use the advanced filtering feature, you must set up a criteria range, a designated range on a worksheet that conforms to certain requirements. The criteria range holds the information that Excel uses to filter the list. It must conform to the following specifications:

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, "Comparison of Models for Ternary Mass Transfer," Letts Heat Mass Transfer, 6, 73-76 (1979b) Krishna, R, "Effect of Nature and Composition of Inert Gas on Binary Vapor Condensation," Letts Heat Mass Transfer, 6, 137-147 (1979c) Krishna, R, "A Simplified Mass Transfer Analysis for Multicomponent Condensation," Letts Heat Mass Transfer, 6, 439-448 (1979d) Krishna, R, "Ternary Mass Transfer in a Wetted-Wall Column Significance of Diffusional Interactions I-Stefan Diffusion," Trans Inst Chem Engrs, 59, 35-43 (1981a) Krishna, R, "An Alternative Linearized Theory of Multicomponent Mass Transfer," Chem Eng Sci, 36, 219-221 (1981b) Krishna, R, "A Turbulent Film Model for Multicomponent Mass Transfer," Chem Eng J, 24, 163-172 (1982) Krishna, R, "Model for Prediction of Point Efficiencies for Multicomponent Distillation," Chem Eng Res Des, 63, 312-322 (1985) Krishna, R, "A Unified Theory of Separation Processes Based on Irreversible Thermodynamics," Chem Eng.

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The examples in this section use a single-selection criterion. In other words, the contents of a single field determine the record selection.

Commun, 59, 33-64 (1987) Krishna, R, "Problems and Pitfalls in the Use of the Fick Formulation for Intraparticle Diffusion," Chem Eng Sci, 48, 845-861 (1993a) Krishna, R, "Analogies in Multiphase Reactor Hydrodynamics," in Encyclopedia of Fluid Mechanics, Supplement 2, Cheremisinoff, N P (Ed), Gulf Publishing Corp, Houston, TX, in press (1993b) Krishna, R, Low, C Y, Newsham, D M T, Olivera-Fuentas, C G, and Standart, G L, "Ternary Mass Transfer in Liquid-Liquid Extraction," Chem Eng Sci, 40, 893-903 (1985) Krishna, R, Martinez, H F, Sreedhar, R, and Standart, G L, "Murphree Point Efficiencies in Multicomponent Systems," Trans Inst Chem Engrs, 55, 178-183 (1977)..

12.1 12.2 12.3 12.4 12.5 12.6 12.7 12.8 12.9 12.10 12.11 The Two-Factor Gaussian G2++ Model Building a G2++ Tree Two-Factor Hull-White Model Heath-Jarrow-Morton Model Pricing Discount Bond Options with Gaussian HJM Pricing Discount Bond Options in General HJM Single-Factor HJM Discrete-State Model Arbitrage-Free Restrictions in a Single-Factor Model Computation of Arbitrage-Free Term Structure Evolutions Single-Factor HJM Implementation Synthetic Swap Valuation

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