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Matrix-Based Minimization—Wolfram Language Documentation

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• Functions
  • ConicOptimization
  • FindFit
  • Fit
  • GeneralizedLinearModelFit
  • LeastSquares
  • LinearModelFit
  • LinearOptimization
  • LogitModelFit
  • NonlinearModelFit
  • Norm
  • PseudoInverse
  • QRDecomposition
  • QuadraticOptimization
  • SemidefiniteOptimization
  • SingularValueDecomposition
• Related Guides
  • Optimization
• Tech Notes
  • Numerical Optimization
  • Constrained Optimization
  • Unconstrained Optimization
  • Solving Linear Systems
  • Advanced Matrix Operations
  • Curve Fitting

LeastSquares — solve an exact or approximate least-squares problem

PseudoInverse — pseudoinverse of a square or rectangular matrix

Norm — matrix and vector p-norms

QRDecomposition  ▪  SingularValueDecomposition

Fit — find a linear least-squares fit to a symbolic basis

FindFit — find a general nonlinear least-squares fit

LinearModelFit — find a linear regression model and compute properties

NonlinearModelFit  ▪  GeneralizedLinearModelFit  ▪  LogitModelFit  ▪  ...

LinearOptimization — solve linear optimization problems

QuadraticOptimization  ▪  SemidefiniteOptimization  ▪  ConicOptimization  ▪  ...

▪
• Numerical Optimization
▪
• Constrained Optimization
▪
• Unconstrained Optimization
▪
• Solving Linear Systems
▪
• Advanced Matrix Operations
▪
• Curve Fitting

▪
• Optimization
▪
• Linear Regression Package

• Demonstrations related to Matrix-Based Minimization (Wolfram Demonstrations Project)
• Wolfram Core Areas: Optimization

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