Scientific Models
A major feature of the Wolfram Language is its deep coverage of all common approaches to scientific models and modeling. The Wolfram Language allows models to be represented, manipulated, solved, simulated, and visualized. It also includes extensive data on specific named models.
FormulaData — common named formulas and equations
PhysicalSystemData — equations and other properties for common physical systems
Units & Physical Quantities »
Quantity ▪ QuantityVariable ▪ ...
Numbers & Quantities with Uncertainty »
Calculus-Based Models »
DSolve ▪ NDSolve ▪ Integrate ▪ Series ▪ Minimize ▪ ...
Optimization-Based Models »
Maximize ▪ Minimize ▪ MinValue ▪ FindMinimum ▪ NMinimize ▪ ...
Closed-Form Symbolic Models »
BesselJ ▪ HypergeometricPFQ ▪ PolyLog ▪ Erf ▪ ...
Statistical Models »
FittedModel ▪ LinearModelFit ▪ NonlinearModelFit ▪ ...
Stochastic Models »
Probability ▪ NormalDistribution ▪ RandomVariate ▪ RandomWalkProcess ▪ HiddenMarkovProcess ▪ ItoProcess ▪ RandomFunction ▪ ...
Time Series Models »
ARMAProcess ▪ SARIMAProcess ▪ ARCHProcess ▪ TimeSeriesModelFit ▪ ...
Machine Learning Models »
PredictorFunction ▪ ClassifierFunction ▪ Nearest ▪ ...
Dynamical Systems »
Nest ▪ RSolve ▪ RecurrenceTable ▪ MandelbrotSetPlot ▪ ...
Discrete Models »
CellularAutomaton ▪ TuringMachine ▪ NestList ▪ ...
Network-Based Models »
Graph ▪ RandomGraph ▪ BarabasiAlbertGraphDistribution ▪ ...
N-Body Simulation
NBodySimulation ▪ NBodySimulationData