1221 - 1230 of 1866 for EvaluSearch Results
View search results from all Wolfram sites (2737 matches)
When numerically solving Hamiltonian dynamical systems it is advantageous if the numerical method yields a symplectic map. If the Hamiltonian can be written in separable ...
CDF   (Built-in Mathematica Symbol)
CDF[dist, x] gives the cumulative distribution function for the symbolic distribution dist evaluated at x.CDF[dist, {x_1, x_2, ...}] gives the multivariate cumulative ...
Interpolation   (Built-in Mathematica Symbol)
Interpolation[{f_1, f_2, ...}] constructs an interpolation of the function values f_i, assumed to correspond to x values 1, 2, ... . Interpolation[{{x_1, f_1}, {x_2, f_2}, ...
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.
In some cases it is useful to split the differential system into subsystems and solve each subsystem using appropriate integration methods. Recombining the individual ...
Components and Data Structures   (Mathematica Tutorial)
NDSolve is broken up into several basic steps. For advanced usage, it can sometimes be advantageous to access components to carry out each of these steps separately. NDSolve ...
NIntegrate Introduction   (Mathematica Tutorial)
The Mathematica function NIntegrate is a general numerical integrator. It can handle a wide range of one-dimensional and multidimensional integrals. Finding a numerical ...
Threads   (GUIKit Package Tutorial)
By default, any interface definition executes within a single thread, and since currently GUIKit` definitions execute at runtime as Java components, this means that execution ...
Computer Arithmetic Package   (Computer Arithmetic Package Tutorial)
The arithmetic used by Mathematica is a mixture of variable-precision software arithmetic and whatever is provided by the manufacturer of the floating-point hardware (or the ...
CharacteristicFunction   (Built-in Mathematica Symbol)
CharacteristicFunction[dist, t] gives the characteristic function for the symbolic distribution dist as a function of the variable t.CharacteristicFunction[dist, {t_1, t_2, ...
1 ... 120|121|122|123|124|125|126 ... 187 Previous Next

...