ICCK Journal of Applied Mathematics

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ISSN: 3068-5656
ICCK Journal of Applied Mathematics is a peer-reviewed international journal dedicated to the publication of high-quality research in all areas of applied mathematics.
DOI Prefix: 10.62762/JAM

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Recent Articles

Open Access | Research Article | 14 December 2025 | Cited: Crossref logo  1 , Scopus 1
From Theory to Code: Transforming Classical Root-Finding Methods into Efficient Python Implementations
ICCK Journal of Applied Mathematics | Volume 1, Issue 3: 154-189, 2025 | DOI: 10.62762/JAM.2025.840767
Abstract
This study conducts a comparative evaluation of seven numerical methods for finding roots of nonlinear equations: Bisection, Regula-Falsi, Fixed-Point Iteration, Newton-Raphson, Secant, Aitken's \(\Delta^2\), and Steffensen. The aim is to analyze the effectiveness of each method based on convergence speed, numerical accuracy, stability, and computational time efficiency. Algorithm implementation was carried out in the Python programming language using NumPy, SymPy, Pandas, and Matplotlib libraries. Test functions included polynomial, trigonometric, exponential, and mixed functions to represent diverse functional characteristics. The results indicate that Steffensen and Newton-Raphson achieve... More >

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From Theory to Code: Transforming Classical Root-Finding Methods into Efficient Python Implementations
Open Access | Research Article | 11 December 2025
Reverse-Order Law for Weak Core Inverse
ICCK Journal of Applied Mathematics | Volume 1, Issue 3: 145-153, 2025 | DOI: 10.62762/JAM.2025.993373
Abstract
In this paper, some sufficient conditions for the reverse-order law of the weak core inverse are obtained. Several characterizations of the reverse-order law for this generalized inverse are then established. In addition, some results concerning the absorption law for the weak core inverse are proved. More >
Open Access | Research Article | 09 December 2025
The Application of Dual-Denoised Momentum Factors in Portfolio Management: A Study of ChiNext Stocks for Retail Investors
ICCK Journal of Applied Mathematics | Volume 1, Issue 3: 129-144, 2025 | DOI: 10.62762/JAM.2025.721050
Abstract
Momentum-based investment strategies face persistent challenges from noise contamination in financial time series, particularly within emerging markets such as China's ChiNext board. Traditional enhancement approaches typically address symptoms rather than underlying causes, resulting in continued vulnerability to market regime changes and performance deterioration. This study develops and evaluates a dual-denoising framework that integrates wavelet analysis for temporal noise reduction with isolation forest algorithms for cross-sectional anomaly detection. Our methodology employs comprehensive analysis of 1,200-1,300 ChiNext stocks spanning the 2015-2025 period, utilizing multiple machine l... More >

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The Application of Dual-Denoised Momentum Factors in Portfolio Management: A Study of ChiNext Stocks for Retail Investors
Open Access | Research Article | 29 October 2025
Electrostatic Freak Waves in Pair-Ion and Pair-Ion-Electron Plasmas
ICCK Journal of Applied Mathematics | Volume 1, Issue 3: 120-128, 2025 | DOI: 10.62762/JAM.2025.698605
Abstract
This work investigates the formation and dynamics of electrostatic freak waves in pair-ion (PI) and pair-ion--electron (PIE) plasmas. The analysis begins with the derivation of the Korteweg--de Vries (KdV) equations for both plasma configurations, from which the corresponding nonlinear and dispersive coefficients are obtained. By employing the wave superposition principle, the KdV equations are systematically reduced to the nonlinear Schrödinger equation (NLSE), enabling the exploration of modulation instability and rogue wave generation. Analytical solutions of the NLSE are utilized to construct parametric plots that elucidate the evolution of freak waves in PI and PIE plasmas. Comparative... More >

Graphical Abstract
Electrostatic Freak Waves in Pair-Ion and Pair-Ion-Electron Plasmas
Open Access | Research Article | 26 October 2025 | Cited: Crossref logo  10 , Scopus 9
Magnetohydrodynamic Flow and Heat Transfer of Boger Tri-Hybrid Nanofluid over a Porous Disk with Cattaneo-Christov Heat Flux Theory Using Artificial Neural Network Framework
ICCK Journal of Applied Mathematics | Volume 1, Issue 3: 97-119, 2025 | DOI: 10.62762/JAM.2025.640044
Abstract
This study investigates the magnetohydrodynamic (MHD) flow of Boger tri-hybrid nanofluid (tri-HNF) through a stretching disk. A novel machine learning technique, specifically the Levenberg--Marquardt (LM) scheme under a backpropagated artificial neural network (ANN), is used to predict the flow dynamics with heat and mass transfer. The Cattaneo-Christov mass and heat fluxes model, permeable media, and viscous dissipation are considered. The well-known Brinkman-Hamilton and Crosser model is used to describe thermal conductivity and viscosity models. The computational solution to the current problem has been obtained using the Bvp4c approach, which is based on finite differences. In order to e... More >

Graphical Abstract
Magnetohydrodynamic Flow and Heat Transfer of Boger Tri-Hybrid Nanofluid over a Porous Disk with Cattaneo-Christov Heat Flux Theory Using Artificial Neural Network Framework
Open Access | Research Article | 15 September 2025
Results on Domination and Chromatic Numbers of Rhombus Silicate Molecular Structure
ICCK Journal of Applied Mathematics | Volume 1, Issue 2: 86-96, 2025 | DOI: 10.62762/JAM.2025.445811
Abstract
In this article, we specially focused on rhombus silicate molecular structure. Graph is a data structure for describing complex systems, which contains a set of objects and relationships. A molecular graph, also known as a chemical graph, is a graph-theoretic representation of the structural formula of a chemical compound used in chemical graph theory and mathematical chemistry. A chemical graph is a labelled graph whose edges represent covalent bonds and vertices represent the atoms. A set of vertices (atoms) of a graph G is known as its dominating set with respect to the vertices, if every vertex other than that set is adjacent to some vertex in set. The vertex and edge dominating sets, to... More >

Graphical Abstract
Results on Domination and Chromatic Numbers of Rhombus Silicate Molecular Structure
Open Access | Research Article | 26 August 2025 | Cited: Crossref logo  7 , Scopus 6
Modified Hiemenz Stagnation Point Flow of Second Grade Nano Fluid
ICCK Journal of Applied Mathematics | Volume 1, Issue 2: 66-85, 2025 | DOI: 10.62762/JAM.2025.411313
Abstract
Three-dimensional (3D) flow of a viscoelastic fluid in the neighborhood of new family of modified stagnation point depending on shear to strain ratio over a flat surface is numerically investigated. Similarity equations are obtained from the fundamental conservation laws of mass, momentum, energy and nanoparticle concentration. The resulting set of nonlinear equations are solved numerically using an implicit finite difference scheme known as Keller-Box Method. A comparative analysis for modified Hiemenz flow, non-axisymmetric stagnation point and axisymmetric stagnation point flow is carried out. Velocity, temperature and concentration profiles, skin frictions local Nusselt and Sherwood numb... More >

Graphical Abstract
Modified Hiemenz Stagnation Point Flow of Second Grade Nano Fluid
Open Access | Research Article | 04 August 2025
Bornological Semi Continuous Maps
ICCK Journal of Applied Mathematics | Volume 1, Issue 2: 62-65, 2025 | DOI: 10.62762/JAM.2025.997630
Abstract
In the current study, a new approach had been constructed to define new maps using the concept of bornological semi open and bornological semi closed sets, which includes sequential bornological semi continuous maps, bornological semi closed (open) maps, bornological strongly semi closed (open) maps, and bornological semi-irresolute closed (open) maps. We investigate and study the properties of these concepts. More >

Journal Statistics

71
Authors
11
Countries / Regions
31
Articles
29
Scopus Citations
29% Cited
2025
Published Since
55,039
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ICCK Journal of Applied Mathematics
ICCK Journal of Applied Mathematics
eISSN: 3068-5656
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