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Convergence rates for iteratively regularized Gauss–Newton method subject to stability constraints

Gaurav Mittal, Ankik Kumar Giri

2021Journal of Computational and Applied Mathematics17 citationsDOI

Topics & Concepts

MathematicsVariational inequalityIterated functionBanach spaceStability (learning theory)Applied mathematicsConvergence (economics)GaussRate of convergenceMathematical optimizationNewton's methodMathematical analysisComputer scienceNonlinear systemMachine learningEconomicsQuantum mechanicsChannel (broadcasting)Economic growthComputer networkPhysicsNumerical methods in inverse problemsSparse and Compressive Sensing TechniquesIterative Methods for Nonlinear Equations
Convergence rates for iteratively regularized Gauss–Newton method subject to stability constraints | Litcius