Iranian Journal of Numerical Analysis and Optimization

Iranian Journal of Numerical Analysis and Optimization

Iranian Journal of Numerical Analysis and Optimization

Journal Archive

 

SCImago Journal & Country Rank           Journal Metrics

Cite Score  (2024)   1.0
SJR (2025)
   0.294
SNIP (2024)
   0.251
SJR   Q3
MSRT Grade    International
Publication  format   Online
Number of Issues   38
Number of Articles   415
Number of Contributors   813
Number of Reviewers   2381
Submission Count   1,507
Accept Count   390
Reject Count   911
Acceptance Rate   26%
Article View   13,335,407
PDF Download    6,999,605
Time to Accept (Days)   107

 

IJNAO Advances from Q4 to Q3 in the Latest SJR Ranking

The Iranian Journal of Numerical Analysis and Optimization (IJNAO) is pleased to announce that, according to the latest Scimago Journal Rank (SJR) results, the journal has been promoted from Quartile 4 (Q4) to Quartile 3 (Q3).

This achievement reflects the continuous efforts of the journal’s Editorial Board members, reviewers, authors, and editorial staff in maintaining and enhancing the scientific quality of the journal. The Editorial Office sincerely appreciates the valuable contributions and support of all colleagues who have played a role in this accomplishment.

The Editorial Board remains committed to improving the quality, impact, and international recognition of the journal and looks forward to achieving even greater milestones in the future.

Professor Ali R. Soheili
Editor-in-Chief
Iranian Journal of Numerical Analysis and Optimization (IJNAO)
Ferdowsi University of Mashhad

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The Iranian Journal of Numerical Analysis and Optimization (IJNAO) publishes original papers of high scientific value in all areas of numerical analysis and optimization. All research articles accepted and published by IJNAO are immediately freely available online to read, download, and share, without any subscription charges or registration barriers.

 IJNAO is indexed in

    

Most Visited Articles
Comparison of homotopy perturbation transform method and fractional Adams–Bashforth method for the Caputo–Prabhakar nonlinear fractional differential equations
Singularly perturbed two-point boundary value problem by applying exponential fitted finite difference method
2D-fractional Muntz–Legendre polynomials for solving the fractional partial differential equations
Optimal control of water pollutant transmission by utilizing a combined Jacobi collocation method and mountain Gazelle algorithm
Optimal control analysis for modeling HIV transmission
Improving the performance of the FCM algorithm in clustering using the DBSCAN algorithm
An analytical and numerical approach for the $(1+1)$-dimensional nonlinear Kolmogorov–Petrovskii–Piskunov equation
Current Issue: Volume 16, Issue 3 - Serial Number 38, Summer 2026, Pages 757-1188 

Keywords Cloud

  • optimal control
  • Stability
  • Stability analysis
  • error analysis
  • Operational matrix
  • Convergence
  • Convergence Analysis
  • Collocation method
  • Caputo fractional derivative
  • Caputo derivative
  • Mathematical model
  • Numerical simulation
  • Uniform convergence
  • Optimal control problem
  • Radial basis functions
  • Nonlinear equations
  • Genetic algorithm
  • Hopf bifurcation
  • Iterative method
  • Pontryagin’s maximum principle
  • Unconstrained optimization
  • Singularly perturbed problem
  • Singular perturbation
  • Global convergence
  • Covid-19
  • Chebyshev polynomials
  • Data Envelopment Analysis
  • Constrained optimization
  • Mathematical modeling
  • Multi-Objective Optimization
  • Fractional differential equation
  • Global stability
  • order of convergence
  • Conjugate Gradient Method
  • Singular perturbation problem
  • Bifurcation
  • Fixed point
  • sensitivity analysis
  • Conformable fractional derivative
  • Inverse source problem
  • Operational matrices
  • Time delay
  • Iterative methods
  • Pontryagin maximum principle
  • finite difference method
  • Optimal control problems
  • fractional derivative
  • Interpolation
  • Partial differential equations
  • Boundary value problems
  • Accuracy
  • Singularly perturbed
  • Particle swarm optimization
  • Numerical Solution
  • Stochastic Gradient Descent
  • Weak solution
  • Basic reproduction number
  • collocation
  • Ordinary differential equation
  • Neural Network
  • boundary layer
  • Fractional differential equations
  • Legendre wavelet
  • Volterra integral equation
  • Image denoising
  • Runge-Kutta methods
  • simulation
  • Line search
  • Adomian polynomials
  • Fractional-order model
  • Krylov subspace methods
  • Resource measure
  • Equilibrium condition
  • Fractional order
  • Optimal control theory
  • Stochastic differential equations
  • Drilling degrees of freedom
  • Wavelet approximation
  • Nondominated
  • measure theory
  • Cacti plants
  • Genocchi polynomials
  • Machine learning
  • Eigenvalues
  • Lane–Emden equation
  • Observability
  • Hybrid methods
  • Operational matrix of integration
  • Strain-based formulation
  • sine-Gordon equation
  • Fractional partial differential equation
  • Optimality conditions
  • Diffusion equation
  • Linear stability
  • Tension spline
  • Allen–Cahn equation
  • Differential Transform Method
  • Huxley equation
  • Priority rule
  • variational iteration method
  • Bessel polynomials
  • Interior layers
  • Shishkin mesh
  • Image restoration
  • Limit cycle
  • Metaheuristic optimization
  • Approximation
  • Integro-differential equations
  • Green’s function
  • Volterra integral equations
  • Adaptive radius
  • Convection-diffusion problem
  • Staircasing effect
  • Interior layer
  • Linear multistep methods
  • Numerical Simulations
  • Nonstandard finite difference scheme
  • Higher-order strain field
  • Fractional diffusion equation
  • Fredholm integral equation
  • Upwind scheme
  • Multiple right-hand sides
  • Reproducing kernel space
  • Network
  • Finite Element Method
  • Nonmonotone line search
  • Liquidity
  • Homotopy Analysis Method
  • Nonmonotone technique
  • Duality
  • Chaos
  • Second derivative methods
  • Bernstein polynomials
  • Optimization
  • controllability
  • Approximate solution
  • Numerical evaluation
  • Power series method
  • Operational matrix of derivative
  • Burgers equation
  • Numerical Method
  • Sturm–Liouville problem
  • Linear programming
  • Finite Element
  • matrix equation
  • Volterra integro-differential equations
  • Haar wavelet
  • delay differential equation
  • Laplace Transform
  • Variable neighborhood search
  • Chebyshev wavelets
  • Elzaki transform
  • E-commerce
  • fractional integro-differential equation
  • Uncertainty
  • Primal-dual algorithm
  • Environmental Transmission
  • Khalouta transform
  • Fuzzy theory
  • General linear methods
  • Pontryagin Maximum
  • Finite difference scheme
  • Wave equation
  • Spatio-temporal Model
  • asymptotically stable
  • Sensitivity
  • Nonlocal boundary conditions
  • Local discontinuous Galerkin method
  • Jacobi polynomials
  • Best approximation
  • Sliding mode control
  • Bernstein polynomial
  • Inverse Problem
  • Vaccination reproduction number
  • Vector optimization
  • Credit default swap (CDS)
  • Total variation
  • Reproduction number
  • Penalty method
  • Non-integer order probabilistic transport equation
  • Sequential approximate optimality conditions
  • Inverse heat conduction problem
  • Saddle point problems
  • Finite difference methods
  • Software Engineering
  • Homotopy per- turbation method
  • Matlab
  • Successive quadratic programming
  • Pontryagin’s Minimum Principle
  • Simu-lated annealing method
  • Stability and convergence
  • Fuzzy approximation
  • Generalized Laguerre polynomials
  • A--stability
  • Bi-level programming problem
  • Modified hat functions
  • Interpolation problem
  • Second order cone program
  • Proximal operator
  • Diabetes