R. Verma

发表

The over-relaxed proximal point algorithm based on H-maximal monotonicity design and applications

Ram U. Verma, R. Verma, 2008, Comput. Math. Appl..

Approximation solvability of a class of nonlinear set-valued variational inclusions involving (A,η)-monotone mappings

R. Verma, 2007 .

A-Monotonicity and Its Role in Nonlinear Variational Inclusions

R. Verma, 2006 .

A-monotone nonlinear relaxed cocoercive variational inclusions

R. Verma, 2007 .

General System of A-Monotone Nonlinear Variational Inclusion Problems with Applications

R. Verma, 2006 .

Projection methods, algorithms, and a new system of nonlinear variational inequalities

R. U. Verma, R. Verma, 2001 .

Generalized System for Relaxed Cocoercive Variational Inequalities and Projection Methods

Ram U. Verma, R. Verma, 2004 .

AUXILIARY MINIMIZATION PROBLEM PRINCIPLE AND ITS APPLICATIONS TO NONLINEAR VARIATIONAL PROBLEMS

R. Verma, 2010 .

Convergence estimates and approximation solvability of nonlinear implicit variational inequalities

R. Verma, 2002 .

A system of generalized auxiliary problems principle and a system of variational inequalities

R. Verma, 2001 .

Mathematical Programming Based on Sufficient Optimality Conditions and Higher Order Exponential Type Generalized Invexities

R. Verma, 2015 .

Higher Order Hybrid Invexity Frameworks and Discrete Multiobjective Fractional Programming Problems

R. Verma, 2015 .

Hybrid (Φ,Ψ,ρ,ζ,θ)-invexity frameworks and efficiency conditions for multiobjective fractional programming problems

R. Verma, 2015 .

Generalized hybrid B - (b; ρ; θ; p̃; r̃) - invexities and efficiency conditions for multiobjective fractional programming

R. Verma, 2015 .

ffi ciency Conditions for Multiobjective Fractional Programming

R. Verma, 2013 .

Second Order (Φ,Ψ,ρ,η,θ)-Invexity Frameworks and ε-Efficiency Conditions for Multiobjective Fractional Programming

R. Verma, 2012 .

The (G, β,Φ, h(•; •), ρ,θ)-Univexities of Higher-Orders with Applications to Parametric Duality Models in Minimax Fractional

R. Verma, 2013 .

The generalized Fredholm operators with finite indices

R. Verma, 1984 .

On essential spectrum of a class of singular integral operators

R. Verma, 1983 .

Linear Convergence Analysis for General Proximal Point Algorithms Involving (H,η)- Mo notonicity Frameworks

R. Verma, 2011 .

Super-Relaxed ()-Proximal Point Algorithms, Relaxed ()-Proximal Point Algorithms, Linear Convergence Analysis, and Nonlinear Variational Inclusions

R. Agarwal, R. Verma, R. Agarwal, 2009 .

Sensitivity analysis for cocoercively monotone variational inclusions and (A,η)-maximal monotonicity

R. Mohapatra, R. Verma, 2008 .

General proximal point algorithm involving η-maximal accretiveness framework in Banach spaces

R. Verma, 2009 .

General Proximal Point Algorithmic Models and Nonlinear Variational Inclusions Involving RMM Mappings

R. Verma, 2009 .

On Rockafellar’s theorem using proximal point algorithm involving H-maximal monotonicity framework

R. Verma, 2008 .

General framework for sensitivity analysis to a class of nonlinear relaxed cocoercive quasivariational inclusions

R. Verma, 2007 .

Role of exponential type random invexities for asymptotically sufficient efficiency conditions in semi-infinite multi-objective fractional programming

R. Verma, Youngsoo Seol, 2016, SpringerPlus.

HYBRID SUPER-RELAXED PROXIMAL POINT ALGORITHMS AND GENERAL NONLINEAR VARIATIONAL INCLUSION PROBLEMS

R. Verma, 2010 .

Generalized Maximal Monotonicity Models and Their Applications to Nonlinear Variational Inclusion Problems and Beyond

R. Verma, 2009 .

General projection systems and relaxed cocoercive nonlinear variational inequalities

R. Verma, 2007, The ANZIAM Journal.

Numerical range and related nonlinear functional equations

R. Verma, 1992 .

Some sufficient efficiency conditions in semiinfinite multiobjective fractional programming based on exponential type invexities

R. Verma, Youngsoo Seol, 2015, Journal of Inequalities and Applications.

Parameter-free duality models and applications to semiinfinite minmax fractional programming based on second-order ($$\phi ,\eta ,\rho ,\theta ,{\tilde{m}}$$ϕ,η,ρ,θ,m~)-sonvexities

G. J. Zalmai, R. Verma, 2018 .

Parametric Duality Models for Discrete Minmax Fractional Programming Problems on Higher Order Invex Functions

R. Verma, 2017 .

The sufficient efficiency conditions in semiinfinite multiobjective fractional programming under higher order exponential type hybrid type invexities

R. Verma, 2015 .

GENERALIZED ε-EFFICIENCY CONDITIONS AND SECOND ORDER B-(b, ρ, η, θ, p̃, r̃)-INVEXITIES IN MINIMAX FRACTIONAL PROGRAMMING PROBLEMS

R. Verma, 2013 .

Higher-order parameter-free sufficient optimality conditions in discrete minmax fractional programming

G. J. Zalmai, R. Verma, 2017 .

THE OVER-RELAXED η − PROXIMAL POINT ALGORITHM AND NONLINEAR VARIATIONAL INCLUSION PROBLEMS

R. Agarwal, R. Verma, R. Agarwal, 2010 .

GENERAL FRAMEWORK FOR A SUPER-RELAXED PROXIMAL POINT ALGORITHM AND ITS APPLICATIONS TO BANACH SPACES

R. Verma, 2013 .

General Class of Implicit Variational Inclusions and Graph Convergence on A-Maximal Relaxed Monotonicity

R. Verma, 2012, Journal of Optimization Theory and Applications.

Saddle Point Criteria in Nonsmooth Semi-Infinite Minimax Fractional Programming Problems

R. Verma, Y. Singh, S. Mishra, 2017, Journal of Systems Science and Complexity.

Multiparameter spectral theory of a separating operator system

R. Verma, 1989 .

SYSTEMS OF RANDOM NONLINEAR VARIATIONAL INCLUSIONS WITH FUZZY MAPPINGS IN q-UNIFORMLY SMOOTH BANACH SPACES

Salahuddin, R. Verma, 2014 .

General convergence analysis for two-step projection methods and applications to variational problems

Ram U. Verma, R. Verma, 2005, Appl. Math. Lett..

Weak ϵ-efficiency conditions for multiobjective fractional programming

Ram U. Verma, R. Verma, 2013, Appl. Math. Comput..

G-H-KKM selections with applications to minimax theorems

R. Verma, 2000 .

On multiparameter spectral theory

L. Debnath, R. Verma, 1991 .

Nonlinear relaxed cocoercive variational inclusions involving (A, eta)-accretive mappings in banach spaces

Yeol Je Cho, Heng-you Lan, R. U. Verma, 2006, Comput. Math. Appl..

APPROXIMATION-SOLVABILITY OF A CLASS OF A-MONOTONE VARIATIONAL INCLUSION PROBLEMS

Ram U. Verma, R. Verma, 2004 .

Generalized pseudo-contractions and nonlinear variational inequalities

Ram U. Verma, R. Verma, 1998, Publicationes Mathematicae Debrecen.

On Generalized Variational Inequalities Involving Relaxed Lipschitz and Relaxed Monotone Operators

Ram U. Verma, R. Verma, 1997 .

General nonlinear variational inclusion problems involving A-monotone mappings

Ram U. Verma, R. Verma, 2006, Appl. Math. Lett..

Generalized variational inequalities involving multivalued relaxed monotone operators

R. Verma, 1997 .

Nonlinear variational inequalities on convex subsets of Banach spaces

R. U. Verma, R. Verma, 1997 .

Two-Step Systems for G-H-Relaxed Pseudococoercive Nonlinear Variational Problems Based on Projection Methods

D. O’Regan, R. Agarwal, R. Verma, 2005 .

A hybrid proximal point algorithm based on the (A, eta)-maximal monotonicity framework

Ram U. Verma, R. Verma, 2008, Appl. Math. Lett..

Sensitivity analysis for generalized strongly monotone variational inclusions based on the (A, eta)-resolvent operator technique

R. U. Verma, R. Verma, 2006, Appl. Math. Lett..

General system of (A,η)-maximal relaxed monotone variational inclusion problems based on generalized hybrid algorithms

Ravi P. Agarwal, Ram U. Verma, R. Agarwal, 2010 .

A-monotonicity and applications to nonlinear variational inclusion problems

Ram U. Verma, R. Verma, 2004 .

General approximation solvability of a system of strongly g-r-pseudomonotonic nonlinear variational inequalities and projection methods

Ram U. Verma, Ali Hajjafar, R. Verma, 2006, Math. Comput. Model..

An iterative algorithm for random Wiener-Hopf equations involving numerical ranges

R. Verma, 1994 .

STOCHASTIC APPROXIMATION-SOLVABILITY OF LINEAR RANDOM EQUATIONS INVOLVING NUMERICAL RANGES

R. Verma, 1997 .

Fixed points for Ciric-G-contractions in uniform spaces endowed with a graph

K. Nourouzi, R. Verma, K. Fallahi, 2013, 1304.1721.

Some Results on R-KKM Mappings and R-KKM Selections and Their Applications

Ram U. Verma, R. Verma, 1999 .

Exponential type vector variational-like inequalities and vector optimization problems with exponential type invexities

Anurag Jayswal, Ram U. Verma, Sarita Choudhury, 2014 .

Generalized nonlinear variational inequality problems involving multivalued mappings

Ram U. Verma, R. Verma, 1997 .

New approach to the eta-proximal point algorithm and nonlinear variational inclusion problems

Ram U. Verma, R. Verma, 2010, Appl. Math. Comput..

Generalized Eckstein-Bertsekas proximal point algorithm involving (H, η)-monotonicity framework

Ram U. Verma, R. Verma, 2007, Math. Comput. Model..

Parameter-free duality models and applications to semiinﬁnite minmax fractional programming based on second-order ( / ; g ; q ; h ; ~ m )-sonvexities

G. J. Zalmai, R. Verma, 2017 .

Higher Order Parametric Duality Models

R. Verma, 2017 .

Towards a Healthy Ganga—Improving River Flows Through Understanding Trade Offs

R. Verma, V. Tare, N. Ghosh, 2019, Front. Environ. Sci..

The solvability of a class of generalized nonlinear variational inequalities based on an iterative algorithm

R. Verma, 1999 .

Iterative Algorithms for Variational Inequalities and Associated Nonlinear Equations Involving Relaxed Lipschitz Operators

R. U. Verma, R. Verma, 1996 .

General over-relaxed proximal point algorithm involving A-maximal relaxed monotone mappings with applications

Ram U. Verma, R. Verma, 2009 .

A new relaxed proximal point procedure and applications to nonlinear variational inclusions

Ram U. Verma, R. Verma, 2009, Comput. Math. Appl..

General implicit variational inclusion problems based on A-maximal (m)-relaxed monotonicity (AMRM) frameworks

Ravi P. Agarwal, Ram U. Verma, R. Verma, 2009, Appl. Math. Comput..

Generalized over-relaxed proximal algorithm based on A-maximal monotonicity framework and applications to inclusion problems

Ram U. Verma, R. Verma, 2009, Math. Comput. Model..

Rockafellar's celebrated theorem based on A -maximal monotonicity design

Ram U. Verma, R. Verma, 2008, Appl. Math. Lett..

GENERALIZED RELAXED PROXIMAL POINT ALGORITHMS INVOLVING RELATIVE MAXIMAL ACCRETIVE MODELS WITH APPLICATIONS IN BANACH SPACES

Ram U. Verma, R. Verma, 2010 .

Inexact A-Proximal Point Algorithm and Applications to Nonlinear Variational Inclusion Problems

R. Verma, R. Agarwal, 2010 .

The generalized relaxed proximal point algorithm involving A-maximal-relaxed accretive mappings with applications to Banach spaces

Ram U. Verma, R. Verma, 2009, Math. Comput. Model..

Generalized G-H-convexity and minimax theorems in G-H-spaces

R. Verma, 1999 .

On a Generalized Class of Minimax Inequalities

R. Verma, 1999 .

G-H-KKM type theorems and their applications to a new class of minimax inequalities

R. U. Verma, R. Verma, 1999 .

A new class of iterative algorithms for approximation-solvability of nonlinear variational inequalities

R. Verma, R. U Verma, 2001 .

Relatively relaxed proximal point algorithms for generalized maximal monotone mappings and Douglas-Rachford splitting methods

R. Verma, 2011 .

A class of projection-contraction methods applied to monotone variational inequalities

R. U. Verma, R. Verma, 2000, Appl. Math. Lett..

Role of generalized KKM type selections in a class of minimax inequalities

R. Verma, 1999 .

General Class of Implicit Variational Inclusions and Graph Convergence on A-Maximal Relaxed Monotonicity

Ram U. Verma, R. Verma, 2012, J. Optim. Theory Appl..

GENERAL FRAMEWORK FOR PROXIMAL POINT ALGORITHMS ON (A, η)-MAXIMAL MONOTONICIT FOR NONLINEAR VARIATIONAL INCLUSIONS

R. Verma, 2011 .

Role of Relative A-Maximal Monotonicity in Overrelaxed Proximal-Point Algorithms with Applications

R. Verma, R. Agarwal, 2009 .

A general framework for the over-relaxed A-proximal point algorithm and applications to inclusion problems

Ram U. Verma, R. Verma, 2009, Appl. Math. Lett..

GENERAL IMPLICIT VARIATIONAL INCLUSION PROBLEMS INVOLVING A-MAXIMAL RELAXED ACCRETIVE MAPPINGS IN BANACH SPACES

Ram U. Verma, R. Verma, 2009 .

Relatively maximal monotone mappings and applications to general inclusions

R. Verma, R. Agarwal, 2012 .

Hybrid inexact proximal point algorithms based on RMM frameworks with applications to variational inclusion problems

Ram U. Verma, R. Verma, 2011, Journal of Applied Mathematics and Computing.

General parametric sufficient optimality conditions for multiple objective fractional subsetprogramming relating to generalized $(\rho,\eta,A)$ -invexity

Ram U. Verma, R. Verma, 2011 .

On general over-relaxed proximal point algorithm and applications

R. Verma, 2011 .

Relatively Inexact Proximal Point Algorithm and Linear Convergence Analysis

Ram U. Verma, R. Verma, 2009, Int. J. Math. Math. Sci..

Parametrically Sufficient Optimality Conditions for Multiobjective Fractional Subset Programming Relating to Generalized $(\eta, \rho, \theta)$-Invexity of Higher Order

R. Verma, 2013 .

A Remark on Significant Convergence Rates for the Generalized Over-Relaxed Proximal Point Algorithms

I. Argyros, R. Verma, 2013 .

New Approach Based on Relatively Inexact Proximal Point Algorithms to Linear Convergence Analysis and Applications

R. Verma, 2011 .

RELAXED PROXIMAL POINT ALGORITHMS BASED ON A-AXIMAL RELAXED MONOTONICITY FRAMEWORKS WITH APPLICATIONS

R. Verma, R. Agarwal, 2011 .

Multiple Objective Fractional Subset Programming Based on Generalized $(\rho, \eta, A)$-Invex Functions

R. Verma, 2011 .

Generalized frameworks for first-order evolution inclusions based on Yosida approximations.

R. Verma, 2011 .

On General Inexact Proximal Point Algorithms and Their Contributions to Linear Convergence Analysis

R. Verma, 2009 .

General Class of Nonlinear Implicit Inclusion Problems and A −Maximal Relaxed Monotone Models

R. Verma, 2009 .