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Solving Linear Systems   (Mathematica Tutorial)
Many calculations involve solving systems of linear equations. In many cases, you will find it convenient to write down the equations explicitly, and then solve them using ...
Drop   (Built-in Mathematica Symbol)
Drop[list, n] gives list with its first n elements dropped. Drop[list, -n] gives list with its last n elements dropped. Drop[list, {n}] gives list with its n\[Null]^th ...
RootIntervals   (Built-in Mathematica Symbol)
RootIntervals[{poly_1, poly_2, ...}] gives a list of isolating intervals for the real roots of any of the poly_i, together with a list of which polynomials actually have each ...
Tuples   (Built-in Mathematica Symbol)
Tuples[list, n] generates a list of all possible n-tuples of elements from list. Tuples[{list_1, list_2, ...}] generates a list of all possible tuples whose i\[Null] ...
Nonlinear Second-Order ODEs   (Mathematica Tutorial)
The general form of a nonlinear second-order ODE is For simplicity, assume that the equation can be solved for the highest-order derivative y^ ′′(x) to give There are a few ...
Registration and Passwords   (Mathematica Tutorial)
To install and use Mathematica and MathLM, you must activate your product and receive a password. Before registering, you must first begin the installation process according ...
GroupOrbits   (Built-in Mathematica Symbol)
GroupOrbits[group, {p_1, ...}] returns the orbits of the points p_i under the action of the elements of group.GroupOrbits[group, {p_1, ...}, f] finds the orbits under the ...
Structural Operations   (Mathematica Tutorial)
Mathematica contains some powerful primitives for making structural changes to expressions. You can use these primitives both to implement mathematical properties such as ...
Graphs provide great information visualization. Highlighting graph elements will let information stand out. By using algorithmic graph layouts, much of the structure in a ...
Statistical Distribution Functions   (Mathematica Guide)
There are a variety of ways to describe probability distributions such as probability density or mass, cumulative versions of density and mass, inverses of the cumulative ...
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