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A derivative-free RMIL conjugate gradient projection method for convex constrained nonlinear monotone equations with applications in compressive sensing

M. Koorapetse, P. Kaelo, S. Lekoko, T. Diphofu

2021Applied Numerical Mathematics40 citationsDOI

Topics & Concepts

Conjugate gradient methodMathematicsProjection (relational algebra)Nonlinear conjugate gradient methodMonotone polygonNonlinear systemProjection methodConvergence (economics)Gradient methodApplied mathematicsProximal Gradient MethodsDerivation of the conjugate gradient methodCompressed sensingConjugate residual methodConvex combinationRegular polygonMathematical analysisMathematical optimizationConvex optimizationDykstra's projection algorithmAlgorithmGradient descentGeometryComputer scienceArtificial neural networkEconomic growthQuantum mechanicsPhysicsEconomicsMachine learningSparse and Compressive Sensing TechniquesAdvanced Optimization Algorithms ResearchNumerical methods in inverse problems
A derivative-free RMIL conjugate gradient projection method for convex constrained nonlinear monotone equations with applications in compressive sensing | Litcius