Mathematical, Computational and Data-Sciences

Consortium Publisher Canada – ICDTD Inc. publishes scholarly eBooks and maintains an updated Digital Library to support academic publication, research advancement, and knowledge development. The platform facilitates the systematic dissemination, accessibility, and preservation of scholarly works, contributing to scientific progress and intellectual development within respective academic disciplines.

The Mathematical, Computational, and Data Sciences eBooks and Digital Library support the publication, organization, and long-term preservation of scholarly books and academic monographs addressing mathematical theory, computational methodologies, and data-driven scientific analysis. This digital collection promotes the dissemination of research-based knowledge and interdisciplinary scholarship across mathematics, computing, and data sciences.

This domain encompasses Mathematics, Applied Mathematics, Statistics, Computational Science, Data Science and Analytics, Numerical Analysis, Operations Research, Artificial Intelligence and Machine Learning, Scientific Computing, Big Data Analytics, Information Theory, Mathematical Modeling, Algorithm Design and Analysis, Computational Statistics, and Data Engineering, collectively contributing to advances in mathematical research, computational innovation, and data-driven scientific discovery.