Wolfram Library Archive: What's New
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Thousands of pages of information on Mathematica and its applicationsen-usCopyright 2017
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8831Airfoil Aerodynamics
http://library.wolfram.com/infocenter/MathSource/9550/
Contributed by: Richard L. Fearn. This collection of documents uses interactive graphics powered by Mathematica (version 11.01) to illustrate the use of complex analysis to solve the classical problem of potential flow over Joukowski airfoils. This collection of six documents.Preface: Some of conventions of Mathematica, and assumptions about the reader’s background are discussed.Table of ...MathSource: Packages and ProgramsMon, 16 Jan 2017 16:19:43 -0600Differential Equations & Linear Algebra, fourth edition
http://library.wolfram.com/infocenter/Books/9549/
Contributed by: C. Henry Edwards, David E. Penney, David Calvis. In a contemporary introduction to differential equations and linear algebra, acclaimed authors Edwards and Penney combine core topics in elementary differential equations with concepts and methods of elementary linear algebra. Renowned for its real-world applications and blend of algebraic and geometric approaches, Differential ...BooksWed, 11 Jan 2017 10:47:39 -0600Support Vector Regression and Other Prediction Methods: A Competition with Mathematica
http://library.wolfram.com/infocenter/MathSource/9548/
Contributed by: Heikki Ruskeepää. We apply eight prediction methods to eleven data sets and compare the prediction capabilities of the various methods. The methods are polynomial regression, support vector regression, local regression, and the five methods provided by Predict: linear regression, neural network, Gaussian process, nearest neighbors, and random forest. For support vector regression ...MathSource: Packages and ProgramsMon, 09 Jan 2017 11:04:23 -0600NGrad: Numerical Gradient of multivariate function
http://library.wolfram.com/infocenter/MathSource/9547/
Contributed by: Alejandro Pozas-Kerstjens. Given a multivariate function expr[x1...xn], a list of variables {x1,...,xn} and a point {x10,...,xn0}, NGrad[expr,{x1,...,xn},{x10,...,xn0}] computes numerically the gradient of expr in the point specified by sequential uses of ND. For one-variable functions, NGrad[expr,x,x0] outputs the numerical derivative of expr in the point x0.The function needs ...MathSource: Packages and ProgramsFri, 30 Dec 2016 13:04:57 -0600