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Numerical Methods for Solving the ...   (Mathematica Tutorial)
The Lotka–Volterra system arises in mathematical biology and models the growth of animal species. Consider two species where Y_1(T) denotes the number of predators and Y_2(T) ...
Numerical Optimization   (Mathematica Tutorial)
Searching for local minima and maxima. This finds the value of x which minimizes Γ(x), starting at x2. The last element of the list gives the value at which the minimum is ...
The Representation of Derivatives   (Mathematica Tutorial)
Derivatives in Mathematica work essentially the same as in standard mathematics. The usual mathematical notation, however, often hides many details. To understand how ...
Brent's Method   (Mathematica Tutorial)
When searching for a real simple root of a real valued function, it is possible to take advantage of the special geometry of the problem, where the function crosses the axis ...
Delay Differential Equations   (Mathematica Tutorial)
A delay differential equation is a differential equation where the time derivatives at the current time depend on the solution and possibly its derivatives at previous times: ...
Advanced Manipulate Functionality   (Mathematica Tutorial)
This tutorial covers advanced features of the Manipulate command. It assumes that you have read "Introduction to Manipulate" and thus have a good idea what the command is for ...
ExplicitRungeKutta Method for NDSolve   (Mathematica Tutorial)
This loads packages containing some test problems and utility functions. One of the first and simplest methods for solving initial value problems was proposed by Euler: ...
Introduction to Advanced Numerical ...   (Mathematica Tutorial)
The Mathematica function NDSolve is a general numerical differential equation solver. It can handle a wide range of ordinary differential equations (ODEs) as well as some ...
ReliefPlot   (Built-in Mathematica Symbol)
ReliefPlot[array] generates a relief plot of an array of height values.
SmoothDensityHistogram   (Built-in Mathematica Symbol)
SmoothDensityHistogram[{{x_1, y_1}, {x_2, y_2}, ...}] plots a smooth kernel histogram of the values {x_i, y_i}.SmoothDensityHistogram[{{x_1, y_1}, {x_2, y_2}, ...}, espec] ...
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