Mathematics and Computer Science, Volume 1

  • 5h 58m
  • Biswadip Basu, Krishanu Deyasi, M. Niranjanamurthy, Mallika Fernandes, Santanu Das, Sharmistha Ghosh
  • John Wiley & Sons (US)
  • 2023

This first volume in a new multi-volume set gives readers the basic concepts and applications for diverse ideas and innovations in the field of computing together with its growing interactions with mathematics.

This new edited volume from Wiley-Scrivener is the first of its kind to present scientific and technological innovations by leading academicians, eminent researchers, and experts around the world in the areas of mathematical sciences and computing. The chapters focus on recent advances in computer science, and mathematics, and where the two intersect to create value for end users through practical applications of the theory.

The chapters herein cover scientific advancements across a diversified spectrum that includes differential as well as integral equations with applications, computational fluid dynamics, nanofluids, network theory and optimization, control theory, machine learning and artificial intelligence, big data analytics, Internet of Things, cryptography, fuzzy automata, statistics, and many more. Readers of this book will get access to diverse ideas and innovations in the field of computing together with its growing interactions in various fields of mathematics. Whether for the engineer, scientist, student, academic, or other industry professional, this is a must-have for any library.

About the Author

Sharmistha Ghosh, PhD, is a professor at the Institute of Engineering and Management, India. She received her doctorate in mathematics from the Indian Institute of Technology, India. Her major field of study includes fuzzy and vague databases as well as computational fluid dynamics, and she has published several papers in scientific journals. She is also the editor of several scientific journals and works as a reviewer of journals as well as doctoral theses in India as well abroad.

M. Niranjanamurthy, PhD, is an assistant professor in the Department of Computer Applications, M S Ramaiah Institute of Technology, Bangalore, Karnataka. He earned his PhD in computer science at JJTU, Rajasthan, India. He has over 11 years of teaching experience and two years of industry experience as a software engineer. He has published several books, and he is working on numerous books for Scrivener Publishing. He has published over 60 papers for scholarly journals and conferences, and he is working as a reviewer in 22 scientific journals. He also has numerous awards to his credit.

Krishanu Deyasi is an associate professor in the Department of Basic Sciences and Humanities at the Institute of Engineering and Management, India. He earned his PhD from the Indian Institute of Science Education and Research, and he has postdoctoral experience from The Institute of Mathematical Sciences, India. He has written three books and has published papers in scientific journals. He is also an editor for several scientific journals.

Biswadip Basu Mallik is a senior assistant professor of mathematics in the Department of Basic Sciences and Humanities at the Institute of Engineering and Management, India. He has been involved in teaching and research for more than 21 years and has published several research papers in various scientific journals along with book chapters with various publishers. He has authored five books and has five patents to his credit. He is a managing editor of the Journal of Mathematical Sciences & Computational Mathematics and is an editorial board member and reviewer for several scientific journals.

Santanu Das is an assistant professor in the Department of Basic Sciences and Humanities at the Institute of Engineering and Management, India. He completed his undergraduate degree, and is pursuing his doctorate, from Jadavpur University.

In this Book

  • Error Estimation of the Function by Using Product Means of the Conjugate Fourier Series
  • Blow Up and Decay of Solutions for a Klein-Gordon Equation With Delay and Variable Exponents
  • Some New Inequalities Via Extended Generalized Fractional Integral Operator for Chebyshev Functional
  • Blow Up of the Higher-Order Kirchhoff-Type System With Logarithmic Nonlinearities
  • Developments in Post- Quantum Cryptography
  • A Statistical Characterization of MCX Crude Oil Price with Regard to Persistence Behavior and Seasonal Anomaly
  • Some Fixed Point and Coincidence Point Results Involving Gα-Type Weakly Commuting Mappings
  • Grobner Basis and Its Application in Motion of Robot Arm
  • A Review on the Formation of Pythagorean Triplets and Expressing an Integer as a Difference of Two Perfect Squares
  • Solution of Matrix Games With Pay‑Offs of Single‑Valued Neutrosophic Numbers and Its Application to Market Share Problem
  • A Novel Score Function-Based EDAS Method for the Selection of a Vacant Post of a Company with q-Rung Orthopair Fuzzy Data
  • Complete Generalized Soft Lattice
  • Data Representation and Performance in a Prediction Model
  • Video Watermarking Technique Based on Motion Frames by Using Encryption Method
  • Feature Extraction and Selection for Classification of Brain Tumors
  • Student’s Self-Esteem on the Self-Learning Module in Mathematics 6
  • Effects on Porous Nanofluid due to Internal Heat Generation and Homogeneous Chemical Reaction
  • Numerical Solution of Partial Differential Equations: Finite Difference Method
  • Godel Code Enciphering for QKD Protocol Using DNA Mapping
  • Predictive Analysis of Stock Prices Through Scikit-Learn: Machine Learning in Python
  • Pose Estimation Using Machine Learning and Feature Extraction
  • E-Commerce Data Analytics Using Web Scraping
  • A New Language-Generating Mechanism of SNPSSP
  • Performance Analysis and Interpretation Using Data Visualization
  • Dealing with Missing Values in a Relation Dataset Using the DROPNA Function in Python
  • A Dynamic Review of the Literature on Blockchain-Based Logistics Management
  • Prediction of Seasonal Ailments Using Big Data: A Case Study
  • Implementation of Tokenization in Natural Language Processing Using NLTK Module of Python
  • Application of Nanofluids in Heat Exchanger and its Computational Fluid Dynamics