Solve::ifun Eliminate::ifun SolveAlways::ifun
Solve::mode Reduce::mode System`Private`OldReduce::mode Eliminate::mode SolveAlways::mode MainSolve::mode AlgebraicRules::mode
With Mathematica's citation management features, you can annotate and add references to research papers written using Mathematica. These features work in conjunction with the ...
Newton's method for nonlinear equations is based on a linear approximation so the Newton step is found simply by setting M_k(p)=0, Near a root of the equations, Newton's ...
Solve::dinv Eliminate::dinv Roots::dinv Reduce::dinv System`Private`OldReduce::dinv SolveAlways::dinv GroebnerBasis::dinv PolynomialReduce::dinv MainSolve::dinv ...
Solve::solex Roots::solex Reduce::solex System`Private`OldReduce::solex Eliminate::solex SolveAlways::solex GroebnerBasis::solex PolynomialReduce::solex MainSolve::solex ...
InterpolatingFunction[domain, table] represents an approximate function whose values are found by interpolation.
Monitor
(Built-in Mathematica Symbol) Monitor[expr, mon] generates a temporary monitor cell in which the continually updated current value of mon is displayed during the course of evaluation of expr.
PossibleZeroQ[expr] gives True if basic symbolic and numerical methods suggest that expr has value zero, and gives False otherwise.
Numerical algorithms for constrained nonlinear optimization can be broadly categorized into gradient-based methods and direct search methods. Gradient-based methods use first ...