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Projects for Calculus is designed to add depth and meaning to any calculus course. The fifty-two projects presented in this text offer the opportunity to expand the use and understanding of mathematics. The wide range of topics will appeal to both instructors and students. Shorter, less demanding projects can be managed by the independent learner, while more involved, in-depth projects may be used for group learning. Each task draws on special mathematical topics and applications from subjects including medicine, engineering, economics, ecology, physics, and biology.Subjects inc

Calculus --- Computer-assisted instruction. --- Data processing. --- Mathematica (Computer file) --- Maple (Computer file)

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Projects for Calculus is designed to add depth and meaning to any calculus course. The fifty-two projects presented in this text offer the opportunity to expand the use and understanding of mathematics. The wide range of topics will appeal to both instructors and students. Shorter, less demanding projects can be managed by the independent learner, while more involved, in-depth projects may be used for group learning. Each task draws on special mathematical topics and applications from subjects including medicine, engineering, economics, ecology, physics, and biology. Subjects including: * Medicine * Engineering * Economics * Ecology * Physics * Biology.

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Mathematical logic --- Measure theory. Mathematical integration --- Stochastic processes --- Nonstandard mathematical analysis. --- Stochastic analysis. --- Wiskundige analyse --- Analyse stochastique. --- Analyse mathématique --- Stochastische analyse.

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Introduction to the Theory of infiniteseimals.

Mathematical analysis

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This book gives a complete and elementary account of fundamental results on hyperfinite measures and their application to stochastic processes, including the *-finite Stieltjes sum approximation of martingale integrals. Many detailed examples, not found in the literature, are included. It begins with a brief chapter on tools from logic and infinitesimal (or non-standard) analysis so that the material is accessible to beginning graduate students.

Mathematical analysis. --- Nonstandard mathematical analysis. --- Stochastic analysis.