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Subresultants   (Built-in Mathematica Symbol)
Subresultants[poly_1, poly_2, var] generates a list of the principal subresultant coefficients of the polynomials poly_1 and poly_2 with respect to the variable var.
TransformationFunction   (Built-in Mathematica Symbol)
TransformationFunction[data] represents a transformation function that applies geometric and other transformations.
Nonlinear Conjugate Gradient Methods   (Mathematica Tutorial)
The basis for a nonlinear conjugate gradient method is to effectively apply the linear conjugate gradient method, where the residual is replaced by the gradient. A model ...
SQLTables   (DatabaseLink Symbol)
SQLTables[conn] returns the SQLTable objects for each table in an SQL connection.
Reference   (Library Link Tutorial)
Wolfram LibraryLink allows dynamic libraries to be directly loaded into the Mathematica kernel so that functions in the libraries can be immediately called from Mathematica. ...
EventLocator Method for NDSolve   (Mathematica Tutorial)
It is often useful to be able to detect and precisely locate a change in a differential system. For example, with the detection of a singularity or state change, the ...
Linear Systems of ODEs   (Mathematica Tutorial)
Here is a system of two ODEs whose coefficient matrix has real and distinct eigenvalues. This solves the system. Note that the general solution depends on two arbitrary ...
NDSolve   (Built-in Mathematica Symbol)
NDSolve[eqns, y, {x, x_min, x_max}] finds a numerical solution to the ordinary differential equations eqns for the function y with the independent variable x in the range ...
NumberTheory`AlgebraicNumberFields`   (Mathematica Compatibility Information)
Algebraic is now available as the newly added built-in Mathematica kernel function AlgebraicNumber. ToCommonField and ToNumberFieldElement are now available as the newly ...
Compiling Mathematica Expressions   (Mathematica Tutorial)
If you make a definition like f[x_]:=x Sin[x], Mathematica will store the expression x Sin[x] in a form that can be evaluated for any x. Then when you give a particular value ...
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