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Log   (Built-in Mathematica Symbol)
Log[z] gives the natural logarithm of z (logarithm to base e). Log[b, z] gives the logarithm to base b.
ParallelCombine   (Built-in Mathematica Symbol)
ParallelCombine[f, h[e_1, e_2, ...], comb] evaluates f[h[e_1, e_2, ...]] in parallel by distributing parts of the computation to all parallel kernels and combining the ...
Sec   (Built-in Mathematica Symbol)
Sec[z] gives the secant of z.
SparseArray   (Built-in Mathematica Symbol)
SparseArray[{pos_1 -> val_1, pos_2 -> val_2, ...}] yields a sparse array in which values val_i appear at positions pos_i. SparseArray[{pos_1, pos_2, ...} -> {val_1, val_2, ...
Table   (Built-in Mathematica Symbol)
Table[expr, {i_max}] generates a list of i_max copies of expr. Table[expr, {i, i_max}] generates a list of the values of expr when i runs from 1 to i_max. Table[expr, {i, ...
Tan   (Built-in Mathematica Symbol)
Tan[z] gives the tangent of z.
Generalized Input   (Mathematica Tutorial)
The fundamental paradigm of most computer languages, including Mathematica, is that input is given and processed into output. Historically, such input has consisted of ...
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 ...
Reading Textual Data   (Mathematica Tutorial)
With <<, you can read files that contain Mathematica expressions given in input form. Sometimes, however, you may instead need to read files of data in other formats. For ...
Tensors   (Mathematica Tutorial)
Tensors are mathematical objects that give generalizations of vectors and matrices. In Mathematica, a tensor is represented as a set of lists, nested to a certain number of ...
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