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Wronskian   (Built-in Mathematica Symbol)
Wronskian[{y_1, y_2, ...}, x] gives the Wronskian determinant for the functions y_1, y_2, ... depending on x.Wronskian[eqn, y, x] gives the Wronskian determinant for the ...
Multiplicative Number Theory   (Mathematica Guide)
Building on its broad strengths in mathematics in general, and in special functions in particular, Mathematica provides a unique level of support for multiplicative number ...
Number Recognition   (Mathematica Guide)
A core activity in exploratory experimental mathematics is recognition of numbers: going backward from a number to find out how it can be generated. Mathematica provides ...
Putting Constraints on Patterns   (Mathematica Tutorial)
Mathematica provides a general mechanism for specifying constraints on patterns. All you need to do is to put /;condition at the end of a pattern to signify that it applies ...
Integer Sequences   (Mathematica Guide)
The symbolic character of Mathematica makes possible a uniquely coherent approach to integer sequences, integrating functional forms, equations, generating functions, and ...
Casoratian   (Built-in Mathematica Symbol)
Casoratian[{y_1, y_2, ...}, n] gives the Casoratian determinant for the sequences y_1, y_2, ... depending on n.Casoratian[eqn, y, n] gives the Casoratian determinant for the ...
Matrix Decompositions   (Mathematica Guide)
 
TrigReduce   (Built-in Mathematica Symbol)
TrigReduce[expr] rewrites products and powers of trigonometric functions in expr in terms of trigonometric functions with combined arguments.
Eigenvalues and Eigenvectors   (Mathematica Tutorial)
Eigenvalues and eigenvectors. The eigenvalues of a matrix m are the values λ_i for which one can find nonzero vectors v_i such that m.v_i λ_iv_i. The eigenvectors are the ...
Discriminant   (Built-in Mathematica Symbol)
Discriminant[poly, var] computes the discriminant of the polynomial poly with respect to the variable var.Discriminant[poly, var, Modulus -> p] computes the discriminant ...
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