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Mathematica: A System for Doing Mathematics by Computer
TLDR
This book will be released simultaneously with Release 2.0 of Mathematica and will cover all the new features of Release 1.0 as mentioned in this paper, including 16 pages of full-color graphics.Abstract:
This book will be released simultaneously with Release 2.0 of Mathematica and will cover all the new features of Release 2.0. This new edition maintains the format of the original book and is the single most important user guide and reference for Mathematica--all users of Mathematica will need this edition. Includes 16 pages of full-color graphics.read more
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A Mathematical Introduction to Robotic Manipulation
TL;DR: In this paper, the authors present a detailed overview of the history of multifingered hands and dextrous manipulation, and present a mathematical model for steerable and non-driveable hands.
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Competition and Biodiversity in Spatially Structured Habitats
TL;DR: The spatial competition hypothesis seems to explain the coexistence of the numerous plant species that compete for a single limiting resource in the grasslands of Cedar Creek Natural History Area and provides a testable, alternative explanation for other high diversity communities, such as tropical forests.
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The time course of perceptual choice: The leaky, competing accumulator model.
Marius Usher,James L. McClelland +1 more
TL;DR: The time course of perceptual choice is discussed in a model of gradual, leaky, stochastic, and competitive information accumulation in nonlinear decision units that captures choice behavior regardless of the number of alternatives, and explains a complex pattern of visual and contextual priming in visual word identification.
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Feyn Calc - Computer-algebraic calculation of Feynman amplitudes
R. Mertig,M. Böhm,Ansgar Denner +2 more
TL;DR: Feyn Calc as discussed by the authors is a computer program for automatic algebraic calculation of Feynman amplitudes, which can be used to calculate tree level diagrams as well as 1-and 2-loop corrections in the Standard Model.
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Description of Aerosol Dynamics by the Quadrature Method of Moments
TL;DR: The quadrature method of moments (QMOM) as mentioned in this paper was proposed to determine the evolution of the lower-order moments of an unknown aerosol distribution without requiring that the size distribution or growth law maintain any special mathematical form.