A class of projection-contraction methods applied to monotone variational inequalities. - Ram U. Verma (Appl. Math. Lett., 2000)

Partial relaxed monotonicity and general auxiliary problem principle with applications. - Ram U. Verma (Appl. Math. Lett., 2003)

General convergence analysis for two-step projection methods and applications to variational problems. - Ram U. Verma (Appl. Math. Lett., 2005)

General nonlinear variational inclusion problems involving A-monotone mappings. - Ram U. Verma (Appl. Math. Lett., 2006)

Sensitivity analysis for generalized strongly monotone variational inclusions based on the (A, eta)-resolvent operator technique. - Ram U. Verma (Appl. Math. Lett., 2006)

Nonlinear relaxed cocoercive variational inclusions involving (A, eta)-accretive mappings in banach spaces. - Heng-you Lan; Yeol Je Cho; Ram U. Verma (Comput. Math. Appl., 2006)

General approximation solvability of a system of strongly g-r-pseudomonotonic nonlinear variational inequalities and projection methods. - Ali Hajjafar; Ram U. Verma (Math. Comput. Model., 2006)

Proximal point algorithms and generalized nonlinear variational problems. - Ram U. Verma (Appl. Math. Comput., 2007)

Generalized Eckstein-Bertsekas proximal point algorithm involving (H, η)-monotonicity framework. - Ram U. Verma (Math. Comput. Model., 2007)

A hybrid proximal point algorithm based on the (A, eta)-maximal monotonicity framework. - Ram U. Verma (Appl. Math. Lett., 2008)

Rockafellar's celebrated theorem based on A -maximal monotonicity design. - Ram U. Verma (Appl. Math. Lett., 2008)

The over-relaxed proximal point algorithm based on H-maximal monotonicity design and applications. - Ram U. Verma (Comput. Math. Appl., 2008)

Generalized Eckstein-Bertsekas proximal point algorithm based on A-maximal monotonicity design. - Ram U. Verma (Comput. Math. Appl., 2008)

General implicit variational inclusion problems based on A-maximal (m)-relaxed monotonicity (AMRM) frameworks. - Ravi P. Agarwal; Ram U. Verma (Appl. Math. Comput., 2009)

A general framework for the over-relaxed A-proximal point algorithm and applications to inclusion problems. - Ram U. Verma (Appl. Math. Lett., 2009)

A new relaxed proximal point procedure and applications to nonlinear variational inclusions. - Ram U. Verma (Comput. Math. Appl., 2009)

Relatively Inexact Proximal Point Algorithm and Linear Convergence Analysis. - Ram U. Verma (Int. J. Math. Math. Sci., 2009)

The generalized relaxed proximal point algorithm involving A-maximal-relaxed accretive mappings with applications to Banach spaces. - Ram U. Verma (Math. Comput. Model., 2009)

Generalized over-relaxed proximal algorithm based on A-maximal monotonicity framework and applications to inclusion problems. - Ram U. Verma (Math. Comput. Model., 2009)

New approach to the eta-proximal point algorithm and nonlinear variational inclusion problems. - Ram U. Verma (Appl. Math. Comput., 2010)

Role of (ρ, η, A)-invexity to ϵ-optimality conditions for multiple objective fractional programming. - Ram U. Verma (Appl. Math. Comput., 2012)

Corrigendum to "The over-relaxed proximal point algorithm based on H-maximal monotonicity design and applications" [Comput. Math. Applications 55 (2008) 2673-2679]. - Ram U. Verma (Comput. Math. Appl., 2012)

General Class of Implicit Variational Inclusions and Graph Convergence on A-Maximal Relaxed Monotonicity. - Ram U. Verma (J. Optim. Theory Appl., 2012)

Weak ϵ-efficiency conditions for multiobjective fractional programming. - Ram U. Verma (Appl. Math. Comput., 2013)

Saddle Point Criteria in Nonsmooth Semi-Infinite Minimax Fractional Programming Problems. - Shashi Kant Mishra; Yadvendra Singh; Ram U. Verma (J. Syst. Sci. Complex., 2018)