Applied Mathematics with Open-Source Software: Operational Research Problems with Python and R

Applied Mathematics with Open-source Software: Operational Research Problems with Python and R is a book that teaches readers how to use open-source software to solve problems in applied mathematics. It has an innovative structure with 4 sections of two chapters, covering a wide range of techniques such as probabilistic modelling, dynamical systems, emergent behaviour, and optimisation. Each chapter starts with a problem, discusses the relevant theory, shows a solution approach in R and Python, and includes published references.

Format: Hardback
Length: 142 pages
Publication date: 27 May 2022
Publisher: Taylor & Francis Ltd

Applied Mathematics with Open-Source Software: Operational Research Problems with Python and R is a comprehensive guide designed to empower readers with the knowledge and skills to utilize open-source software for solving complex problems in applied mathematics. With an innovative structure comprising four sections of two chapters, the book covers a wide array of mathematical techniques, including probabilistic modeling, dynamical systems, emergent behavior, and optimization. Each section showcases diverse solution approaches through paired chapters, demonstrating different families of methods.

Beginning with a problem, each chapter provides an overview of the relevant theory, showcases solution approaches in both R and Python, and concludes with a broader context by including relevant published references. This structured approach ensures maximum accessibility, with minimal prerequisites in mathematics or programming, while also offering ample opportunities for readers to delve deeper into specific topics of interest.

The book is an invaluable resource for scholars of applied mathematics and operational research, as well as any academics seeking to expand their expertise in using open-source software. Its comprehensive and accessible treatment of the subject, coupled with the purposeful mirroring of the R and Python sections, allows readers to focus on their areas of interest while gaining a deep understanding of the underlying principles and methodologies.

Furthermore, an accompanying open-source repository is available online, providing source files and additional examples to further enhance the learning experience. This repository serves as a valuable resource for practitioners, researchers, and students alike, allowing them to explore and extend the concepts presented in the book.

In summary, Applied Mathematics with Open-Source Software: Operational Research Problems with Python and R is a groundbreaking text that empowers readers to leverage the power of open-source software for solving applied mathematics problems. Its innovative structure, comprehensive coverage, and accompanying open-source repository make it an essential resource for scholars, researchers, and practitioners in the field.

Weight: 439g
Dimension: 254 x 178 (mm)
ISBN-13: 9780367348687