Computational Algorithms and Numerical Dimensions (CAND) is an international, scholarly, interdisciplinary, fully refereed, and quarterly free-of-charge journal as a non-commercial publication. CAND covers areas such as computer engineering applications, including numerical methods, computational modeling, and algorithms in fields such as computer architecture, hardware design, embedded systems, computer networks, parallel and distributed computing, and performance optimization. Additionally, CAND explores the realm of the Internet of Things (IoT), focusing on computational modeling, algorithm design, and topics such as IoT data analytics, resource optimization, security, privacy in IoT networks, as well as IoT applications, architectures, protocols, and machine learning techniques.

CAND publishes fully open-access papers, which means that all articles are available on the Internet to all users immediately upon publication.

Original Article
A Novel Computational Analysis of Boundary Driven Two Dimensional Heat Flow with the Internal Heat Generation

Muhammad Abid; Madiha Bibi; Nasir Yasin; Muhammad Shahid

Volume 3, Issue 1 , March 2024, Pages 1-16

https://doi.org/10.22105/cand.2024.443017.1090

Abstract
  Accurate numerical solution of parabolic and elliptic partial differential equations governing two-dimensional heat transfer is critical for engineering simulations but computationally challenging.This work employs key numerical techniques finite differences, conjugate gradients, and Crank-Nicolson time ...  Read More

Original Article
Covid-19 Pandemic Data Analysis Using Tensor Methods

Dipak Dulal; Ramin Goudarzi Karim; Carmeliza Navasca

Volume 3, Issue 1 , March 2024, Pages 17-44

https://doi.org/10.22105/cand.2024.450017.1092

Abstract
  In this paper, we use tensor models to analyze the Covid-19 pandemic data. First, we use tensor models, canonical polyadic, and higher-order Tucker decompositions to extract patterns over multiple modes. Second, we implement a tensor completion algorithm using canonical polyadic tensor decomposition ...  Read More

Speech Recognition System Based on Machine Learning in Persian Language

Shahed Mohammadi; Niloufar Hemati; Neda Mohammadi

Volume 1, Issue 2 , June 2022, , Pages 72-83

https://doi.org/10.22105/cand.2022.146462

Abstract
  In today's world, where speech recognition has become an integral part of our daily lives, the need for systems equipped with this technology has increased dramatically in the past few years. This research aims to locate the two selected Persian words in any given audio file. For this purpose, two standard ...  Read More

An Efficient Collocation Method for the Numerical Solutions of the Pantograph-Type Volterra Hammerstein Integral Equations and its Convergence Analysis

Hashem Saberi Najafi; Sayed Arsalan Sajjadi; Hossein Aminikhah

Volume 1, Issue 2 , June 2022, , Pages 61-71

https://doi.org/10.22105/cand.2022.153956

Abstract
  In this work, we consider a collocation method for solving the pantograph-type Volterra Hammerstein integral equations based on the first kind Chebyshev polynomials. We use the Lagrange interpolating polynomial to approximate the solution. The convergence of the presented method has been analyzed by ...  Read More

Visualization Method in Mathematics Classes

Laxmi Rathour; Dragan Obradovic; Shiv Kant Tiwari; Lakshmi Narayan Mishra; Vishnu Narayan Mishra

Volume 1, Issue 4 , December 2022, , Pages 141-146

https://doi.org/10.22105/cand.2022.159701

Abstract
  Developing students’ educational abilities has always been one of the most urgent. The more fully a student's potential is realized, the more success a person will be able to achieve in life and career. One of the effective technologies for activating learning is the method of visualizing educational ...  Read More

Optimization of Fuzzy Zero- Base Budgeting

Salwa Abdou El-Morsy

Volume 1, Issue 4 , December 2022, , Pages 147-154

https://doi.org/10.22105/cand.2022.155548

Abstract
  Zero-Base Budgeting (ZBB) is a very well-known method for the selection and management of budgets and is widely used by companies and government agencies. In this paper, a new method for modelling ZBB in fuzzy environment is described. Triangular fuzzy numbers are used for describing the imprecise budget ...  Read More

The modification of the generalized gauss-seidel iteration techniques for absolute value equations

Rashid Ali; Ashfaq Ahmad; Ijaz Ahmad; Asad Ali

Volume 1, Issue 4 , December 2022, , Pages 130-136

https://doi.org/10.22105/cand.2022.157605

Abstract
  This paper proposes two modified generalized Gauss-Seidel iteration techniques to determine the Absolute Value Equations (AVEs). Convergence of the new techniques is established under some appropriate conditions lastly; several numerical examples verify the significance of the techniques.   Read More

Original Article
Numerical Collocation Technique for Solving Modified Equal Width Wave Equation

Aqib Zafar; Shyam Sundra Santra; Muhammad Nasir

Articles in Press, Accepted Manuscript, Available Online from 17 February 2024

https://doi.org/10.22105/cand.2024.443905.1091

Abstract
  In this article, Cubic Trigonometric B-Spline Collocation technique is used to solve Modified Equal Width (MEW) Wave equation with application. The proposed scheme of major equation is tested by three ways: Single Soliton Wave, train of Solitary Waves and final birth solution. The efficiency and validity ...  Read More

Original Article
MATHEMATICAL MODELING AND TREATING TUMORS IN A FUZZY ENVIRONMENT

Aadil Rashid Sheergojri; Pervaiz Iqbal

Articles in Press, Accepted Manuscript, Available Online from 03 April 2024

https://doi.org/10.22105/cand.2024.450759.1093

Abstract
  To better understand how things work in biology, you can use mathematics to figure things out. Cancer modelling is a complex biological process that is highly unpredictable, which fuzzy models in this study have achieved. Biomolecular components of malignant disorders and their analysis are frequently ...  Read More

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