This edited book on mathematics and computer science titled "Advances in Mathematical Optimization for Computing and Data Science" mainly focuses on various topics such as foundations of optimization in mathematics, operations research modelling, soft computing techniques etc., and the rest are given below in the Scope of the book. This data science edited book will be published with ISBN and DOI numbers after following a proper double blind peer reviewed process. All the chapters of this computer science edited book will be published in a proper style, so that reader can easily understand and learn.
Author can download mathematics and computer science edited books authorship responsibility and copyright form:
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Book Scopes
- Foundations of Optimization in Mathematics
- Operations Research Modelling
- Soft Computing Techniques
- Fuzzy Modelling
- Optimization in Machine Learning and Artificial Intelligence
- Machine Learning
- Deep Learning
- Cryptography
- Optimization for Big Data and Data Science
- Combinatorial and Discrete Optimization
- Convex Optimization and its Applications
- Global Optimization and Metaheuristics
- Optimization in Computational Biology and Bioinformatics
- Optimization in Cloud Computing and Distributed Systems
- Emerging Trends and Future Directions in Optimization
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Editor(s) Dr. Harish Nagar Professor and Associate Director, Department of Mathematics, Chandigarh University, Mohali, Punjab, India  Dr. Sunil Kumar Assistant Professor, Department of Mathematics, University Institute of Sciences, Chandigarh University, Mohali, Punjab, India  Dr. Sudhanshu Shekhar Dubey Assistant Professor, Department of Mathematics, Chandigarh University, Mohali, Punjab, India
How To Submit
Email your book chapter at akinikbooks@gmail.com
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Deadline
31 Dec 2025
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