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Contexts   (Mathematica Tutorial)
It is always a good idea to give variables and functions names that are as explicit as possible. Sometimes, however, such names may get inconveniently long. In Mathematica, ...
Curve Fitting   (Mathematica Tutorial)
There are many situations where one wants to find a formula that best fits a given set of data. One way to do this in Mathematica is to use Fit. Basic linear fitting. Here is ...
Integral Transforms and Related ...   (Mathematica Tutorial)
One-dimensional Laplace transforms. The Laplace transform of a function f(t) is given by ∫_0^∞f(t)e^-stt. The inverse Laplace transform of F(s) is given for suitable γ by ( ...
Mathematica Internet Connectivity   (Mathematica Tutorial)
Mathematica provides important functionality through accessing the internet. Most Mathematica functions that provide computable data operate by loading data over the ...
Mathematica Sessions   (Mathematica Tutorial)
Typical command-line options for Mathematica executables. If the Mathematica front end is called with a notebook file as a command-line argument, then this notebook will be ...
Norms in NDSolve   (Mathematica Tutorial)
NDSolve uses norms of error estimates to determine when solutions satisfy error tolerances. In nearly all cases the norm has been weighted, or scaled, such that it is less ...
Numerical Integration   (Mathematica Tutorial)
Numerical integration functions. This finds a numerical approximation to the integral ∫_(0)^∞ e^-x^3 x. Here is the numerical value of the double integral ∫_(-1)^1 dx ...
Creating Tables   (DatabaseLink Tutorial)
SQLCreateTable creates a new table in a database. An alternative, using raw SQL, is described in "Creating Tables with Raw SQL". If you find that the examples in this ...
Real Polynomial Systems   (Mathematica Tutorial)
A real polynomial system is an expression constructed with polynomial equations and inequalities combined using logical connectives and quantifiers and
ContinuousWaveletTransform   (Built-in Mathematica Symbol)
ContinuousWaveletTransform[{x_1, x_2, ...}] gives the continuous wavelet transform of a list of values x_i.ContinuousWaveletTransform[data, wave] gives the continuous wavelet ...
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