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Mathematical and Computational Applications is a peer-reviewed journal published by MDPI, covering Fractional Differential Equations Solutions, Composite Structure Analysis and Optimization, Differential Equations and Numerical Methods. Over its lifetime it has published 1,833 papers, which have received 14,843 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Mathematical and Computational Applications 2023, 12, 45–58.
Formats any DOI in Mathematical and Computational Applications style. No sign-up. |
| Abbreviation (ISO-4) | Math. Comput. Appl. |
| Publishes research in | Fractional Differential Equations Solutions Composite Structure Analysis and Optimization Differential Equations and Numerical Methods Nonlinear Waves and Solitons Iterative Methods for Nonlinear Equations |
| ISSN | 1300-686X |
| Citation impact (2-yr) | 1.71 |
| h-index | 47 |
| i10-index | 366 |
| Article processing charge | $1,515 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Manisa Celal Bayar University |
| Journal website | www.mdpi.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Genetic Algorithms are most directly suited to unconstrained optimization. Application of Genetic Algorithms to constrained optimization problems is often a challenging effort. Several methods have been proposed for handling constraints. The most common method in Genetic Algorithms to handle constraints is to use penalty functions. In this paper, we present these penalty-based methods and discuss…
Growth in the area of opinion mining and sentiment analysis has been rapid and aims to explore the opinions or text present on different platforms of social media through machine-learning techniques with sentiment, subjectivity analysis or polarity calculations. Despite the use of various machine-learning techniques and tools for sentiment analysis during elections, there is a…
The objective of this study is to compare the predictive ability of Bayesian regularization with Levenberg–Marquardt Artificial Neural Networks. To examine the best architecture of neural networks, the model was tested with one-, two-, three-, four-, and five-neuron architectures, respectively. MATLAB (2011a) was used for analyzing the Bayesian regularization and Levenberg–Marquardt learning algorithms. It is…
Fractional complex transform is proposed to convert fractional differential equations into ordinary differential equations, so that all analytical methods devoted to advanced calculus can be easily applied to fractional calculus. Two examples are given.
The aim of study is developing a fuzzy decision model to select appropriate operating system for computer systems of the firms by taking subjective judgments of decision makers into consideration. Proposed approach is based on Fuzzy Analytic Hierarchy Process (FAHP) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methods. FAHP method is…
