Evidence-based medicine for PDAs

Sample

Richard Gass

Mathematica is a powerful computer language that allows the tight integration of symbolic, numeric, and graphic techniques. In Mathematica for Scientists and Engineers: Using Mathematica to do Science, Richard Gass provides a guide for scientific researchers, engineers, and students on using the power of Mathematica to solve scientifically interesting problems. On the left, for instance, is a nonuniform cross-section of a pipe, the partial differential equation that governs wave motion in the pipe, the Mathematica code that solves the equation, and a density plot of the excess pressure in the pipe.

Sample

Pankaj K. Das

This book presents the background material necessary for an understanding of modern optical signal processing. Intended for graduate students in electrical engineering, physics, or optical engineering, the book covers fundamentals of geometrical and physical optics; propagation in anisotropic media; fiber optics; integrated optics; the electro-optic, acousto-optic and magneto-optic effects; noise and stochastic processes; matched, adaptive, Kalman, and lattice filters; two-dimensional signal processing; and the ambiguity and Wigner distribution functions. A discussion of non-optical signal processing devices, e.g. SAW, CCD, and digital, helps to provide an appreciation of the advantages of optical signal processing. The necessary mathematics is presented in the appendix.

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Walter Oleksy

Examines how computer technology affects the acquisition and application of scientific knowledge in such fields as astronomy, archaeology, medicine, and physics.

Sample

Vladimir S. Lerner

The Variation Principle In Informational Macrodynamics (VP) introduces the process' integral information measure, which has a distinctive difference from traditional information approaches that use an entropy function. The VP's minimax mathematical mechanisms formalize the regularities of the cooperative informational dynamics, connecting randomness and regularities, stochastic and determinism, reversibility and irreversibility, symmetry and nonsymmetry, stability and instability, regular and chaotic dynamics, thermodynamics and informational dynamics, time-reversible and time-irreversible processes, reveals the information dynamic mechanisms of evolution and development. The mathematical formalisms and methods, implemented in the forms of computer models, algorithms and programs, provide new general tools for Information Systems' Modeling in such areas as biology, intelligent systems, computer and information technology, including communications, data modeling and data management. Variation Principle In Informational Macrodynamics, with its examples and applications, will meet the needs of a professional audience composed of researchers and practitioners in industry, as well as graduate-level students in computer science, mathematics and engineering.