AUT Journal of Mathematics and Computing

AUT Journal of Mathematics and Computing

AUT Journal of Mathematics and Computing (AUT J Math Comput) is a double-blind peer-reviewed quarterly journal, owned, managed, and published by Amirkabir University of Technology since 2020 and is indexed in Scopus. The journal publish novel reputable original articles, review articles and short communications in the fields of mathematical science including, pure mathematics, applied mathematics, computer science and statistics. The journal changed its publication frequency to quarterly from early 2024.

Journal Title AUT Journal of Mathematics and Computing
P-ISSN 2783-2449
E-ISSN 2783-2287
Frequency Quarterly
Editor-in-Chief Abdolrasoul Pourabbas, Ph.D.
Language English Fulltexts and Abstracts
Plagiarism Checker iThenticate
Peer Review Policy Double-blind
Article Processing Charges No APC (Free)
Average Review Time 2-4 Months
Acceptance Rate 30%
Owner & Publisher Amirkabir University of Technology, Iran.

This journal is recognized by the Ministry of Science, Research and Technology as a scientific publication. (link)


Current Issue: Volume 7, Issue 3, Summer 2026, Pages 270-383 

Product type operators on $(\alpha,p)$-Besov-Zygmund spaces

Pages 293-302

10.22060/ajmc.2025.22758.1191

Sepideh Nasresfahani, Mostafa Hassanlou, Daryoush Molaei, Ebrahim Abbasi

Keywords Cloud

  • Finsler metric
  • Randers Metric
  • &lrm
  • Frobenius group
  • prime graph
  • $S$-curvature
  • conjugacy classes
  • Approximation algorithm
  • conformal vector field
  • character table
  • Permutation character
  • Finite group
  • mixed integer programming
  • optimization
  • Nonlinear equations
  • smartphone
  • game theory
  • Linear Regression
  • Randers metrics
  • CAPM
  • variational problem
  • Conservation laws
  • flag curvature
  • control theory
  • computational geometry
  • simple group
  • Maximum Likelihood Estimation
  • Machine learning
  • Compactness
  • Finsler space
  • Projective special linear group
  • Warped product
  • Kropina metric
  • Ensemble learning
  • Intelligent Transportation Systems
  • Expectation-Maximization algorithm
  • Deep learning
  • $C^*$-algebra
  • Fischer-Clifford matrix
  • m-th root metric
  • Caputo fractional derivative
  • Software Architecture
  • Fischer matrices
  • navigation problem
  • Finsler metrics
  • Integral equation
  • weighted Ricci curvature
  • Characterization
  • Ricci curvature
  • coset analysis
  • conservation law
  • Killing vector field
  • Fixed point
  • facility location
  • Optimal control
  • inertia factor
  • Lie group
  • Monomial character
  • Active State
  • Spectral method
  • Rare adverse reactions
  • Finsler $(\\alpha,\\beta)$-metric
  • -algebra
  • SG$\\alpha$S random field
  • Hessian structure
  • Spacetime
  • approximation algorithms
  • Model-based heuristic
  • Heuristic
  • {\\bf S}-curvature
  • Waldschmidt constant
  • C$$-convex
  • Stochastic User Equilibrium
  • $b$-metric space
  • ‎Left-invariant connection
  • n-Cubes-
  • Fruitless waiting time
  • Road traffic sensors
  • Clique number
  • Competing risk model
  • Differential game
  • Lie point symmetries
  • Hypercyclicity
  • Stress-strength model
  • modal
  • Dependency degree
  • Caterpillar Trees
  • Homotopy perturbation transform method
  • Sobolev spaces
  • ‎Left-invariant Lie group‎
  • parametric linear programming approach
  • ‎ ‎ Meromorphic (or spherical) Besov Zygmund-type class
  • Maximal Curves
  • Invariance surface condition
  • Self-supervised Learning
  • Order Statistics
  • Einstein manifold
  • Gradient vector field
  • Jacobi-Pesudo-Spectral method
  • Lorentzian manifold
  • superspace
  • supra closure operator
  • $\\phi$-Holomorphic planar conformal vector fields
  • $I$-Connes biprojctivity
  • Sierpiński
  • Maximum Path Length
  • Hyers-Ulam stability
  • Linear Threshold Model
  • Skewness
  • Critical values
  • Generalized Ricci soliton
  • Method 3
  • Bayesian Regression
  • General Fuzzy Automata
  • In-context learning
  • Interdependent Bi-modal Network
  • Attacker-defender
  • Deep Autoencoder
  • covert communication
  • Finsler manifold
  • ‎ ‎Optimal system
  • Electronic Voting
  • Metric dimension
  • Min-max criterion
  • Ambiguity sets
  • Reduced design
  • Acoustic signal analysis
  • Supersingular&lrm
  • Centrality
  • weighted Lebesgue space
  • connectivity
  • Design
  • Road Safety
  • $&lrm
  • Deep Neural Networks
  • end user
  • Stochastic orders
  • Transformers
  • Political Inclinations
  • Isotropic projective Ricci curvature
  • $(\\alpha,\\beta)$-metric
  • order reduction
  • Non-Hierarchical Clustering
  • Warped product‎
  • Enhanced index tracking
  • Hall subgroup
  • ‎ Deformed Finsler metric
  • Predator-prey
  • Directed graph
  • Artificial bee colony
  • Critical node
  • Almost contact Finsler manifolds
  • Approximate dual‎
  • S-Approximation space
  • $\\mu$-symmetry
  • Asymptotic confidence interval
  • ‎Stability‎
  • Sequence Classification
  • Systems control framework
  • Scenario-based stochastic model
  • Weighted NMF
  • Maintainability
  • right algebraic
  • stability
  • Locally product-like statistical manifolds
  • Distributionally robust
  • Best linear unbiased estimator
  • Recurrent Neural Networks
  • Language Models
  • Hessian
  • Leap-Frog method
  • Approximate conservation laws
  • power graph
  • Siklos space-times
  • Non-smooth dynamical equation
  • Bayesian P-splines
  • Zermelo navigation
  • Generalized Mittag-Leffler Function Method
  • Finite Difference Method
  • Fitness tracker
  • contraction
  • Helmholtz equation
  • Volterra integro-differential equation
  • Imperialist Competitive Algorithm
  • Attached primes
  • degree list
  • Multilevel v-cycle algorithm
  • Instance-dependent Noisy Label
  • Tumor burden
  • Complexity
  • TTE
  • Finite moments
  • Hazard rate function
  • Social Networks
  • Binomial $D$-module
  • Frobenius complement
  • ϕ-biflatness
  • convolution
  • Lagrangian relaxation