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        ArticleInverse square singularities and eigenparameter dependent boundary conditions are two sides of the same coin
  
  
        year of publication: 2020
    
      Posted by: Namig J. Guliyev
      
    arXiv
    
      
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        ArticleOn extensions of symmetric operators
  
  
        Operators and Matrices 14 (1), 71-75, 2020
    
      Posted by: Namig J. Guliyev
      
    
    
      
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        ArticleA Riesz basis criterion for Schrödinger operators with boundary conditions dependent on the eigenvalue parameter
  
  
        Analysis and Mathematical Physics 10 (1), 2-8, 2020
    
      Posted by: Namig J. Guliyev
      
    
    
      
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        ArticleOn two-spectra inverse problems
  
  
        Proceedings of the American Mathematical Society 148 (10), 4491-4502, 2020
    
      Posted by: Namig J. Guliyev
      
    
    
      
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        ArticleEssentially isospectral transformations and their applications
  
  
        Annali di Matematica Pura ed Applicata 199 (4), 1621-1648, 2020
    
      Posted by: Namig J. Guliyev
      
    
    
      
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        ArticleSpectral identities for Schrödinger operators
  
  
        year of publication: 2019
    
      Posted by: Namig J. Guliyev
      
    arXiv
    
      
           - 
  
        ArticleSchrödinger operators with distributional potentials and boundary conditions dependent on the eigenvalue parameter
  
  
        Journal of Mathematical Physics 60 (6), 063501, 2019
    
      Posted by: Namig J. Guliyev
      
    
    
      
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        ArticleApproximation capability of two hidden layer feedforward neural networks with fixed weights
  
  
        Neurocomputing 316, 262-269, 2018
    
      Posted by: Namig J. Guliyev
      
    
    
      
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        ArticleOn the approximation by single hidden layer feedforward neural networks with fixed weights
  
  
        Neural Networks 98, 296-304, 2018
    
      Posted by: Namig J. Guliyev
      
    
    
      
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        ArticleA single hidden layer feedforward network with only one neuron in the hidden layer can approximate any univariate function
  
  
        Neural Computation 28 (7), 1289-1304, 2016
    
      Posted by: Namig J. Guliyev
      
    
    
      
       
          
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