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Portability of MathLink Programs   (Mathematica Tutorial)
The Mathematica side of a MathLink connection is set up to work exactly the same on all computer systems. But inevitably there are differences between external programs on ...
Complicated algebraic expressions can usually be written in many different ways. Mathematica provides a variety of functions for converting expressions from one form to ...
Three-Dimensional Surface Plots   (Mathematica Tutorial)
Basic 3D plotting function. This makes a three-dimensional plot of the function sin(xy). Three-dimensional graphics can be rotated in place by dragging the mouse inside of ...
Tracing Evaluation   (Mathematica Tutorial)
The standard way in which Mathematica works is to take any expression you give as input, evaluate the expression completely, and then return the result. When you are trying ...
Principal Axis Method   (Mathematica Tutorial)
"Gauss–Newton" and "conjugate gradient" methods use derivatives. When Mathematica cannot compute symbolic derivatives, finite differences will be used. Computing derivatives ...
Using Assumptions   (Mathematica Tutorial)
Mathematica normally makes as few assumptions as possible about the objects you ask it to manipulate. This means that the results it gives are as general as possible. But ...
Views   (Mathematica Tutorial)
Mathematica supports a variety of objects that can be used to organize and display information in output. Known collectively as views, these objects range from the simple ...
Security and Authentication   (DatabaseLink Tutorial)
Many SQL databases can be configured to require a username and password when a connection is made. This is useful for preventing unwanted access and restricting the range of ...
LayeredGraphPlot   (Built-in Mathematica Symbol)
LayeredGraphPlot[{v i 1 -> v j 1, v i 2 -> v j 2, ...}] generates a layered plot of the graph in which vertex v_ik is connected to vertex v_jk.LayeredGraphPlot[{{v i 1 -> v j ...
LogNormalDistribution   (Built-in Mathematica Symbol)
LogNormalDistribution[\[Mu], \[Sigma]] represents a lognormal distribution derived from a normal distribution with mean \[Mu] and standard deviation \[Sigma].
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