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Symbolic Computation   (Mathematica Tutorial)
One of the important features of Mathematica is that it can do symbolic, as well as numerical calculations. This means that it can handle algebraic formulas as well as ...
The Limits of Mathematica   (Mathematica Tutorial)
In just one Mathematica command, you can easily specify a calculation that is far too complicated for any computer to do. For example, you could ask for ...
Recurrence and Sum Functions   (Mathematica Guide)
Mathematica has a wide coverage of named functions defined by sums and recurrence relations. Often using original algorithms developed at Wolfram Research, Mathematica ...
Inpaint   (Built-in Mathematica Symbol)
Inpaint[image, region] retouches parts of image that correspond to nonzero elements in region.
Partitioning Data into Clusters   (Mathematica Tutorial)
Cluster analysis is an unsupervised learning technique used for classification of data. Data elements are partitioned into groups called clusters that represent proximate ...
StateFeedbackGains   (Built-in Mathematica Symbol)
StateFeedbackGains[ss, {p_1, p_2, ..., p_n}] gives the state feedback gain matrix for the StateSpaceModel object ss such that the poles of the closed-loop system are p_i.
FunctionExpand   (Built-in Mathematica Symbol)
FunctionExpand[expr] tries to expand out special and certain other functions in expr, when possible reducing compound arguments to simpler ones. FunctionExpand[expr, assum] ...
Evaluation Control   (Mathematica Guide)
Mathematica normally takes any expression it is given, and evaluates it as far as possible. But built into the Mathematica language is a collection of flexible primitives ...
DirichletTransform   (Built-in Mathematica Symbol)
DirichletTransform[expr, n, s] gives the Dirichlet transform of expr with respect to n.
ClusteringComponents   (Built-in Mathematica Symbol)
ClusteringComponents[array] gives an array in which each element of array is replaced by an integer index representing the cluster in which the element ...
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