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CRC Press Applied Mathematics with Open-Source Software - CRC Press

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Description

Learn to solve complex applied mathematics problems using powerful open-source tools. This book provides a practical guide for readers interested in using Python and R to tackle operational research challenges. By focusing on real-world applications, it bridges the gap between mathematical theory and software implementation. The text follows an innovative structure divided into four distinct sections. Each section contains two chapters that cover essential mathematical techniques, including probabilistic modelling, dynamical systems, emergent behaviour, and optimisation. This organized approach allows readers to explore different families of solution methods systematically. Each chapter is designed to be highly practical. Every topic begins with a specific problem and provides an overview of the relevant mathematical theory before moving into the software application. This method ensures you understand the logic behind the math while gaining hands-on experience with Python and R. Whether you are studying operational research or looking to improve your computational skills, this resource offers a structured way to master mathematical problem-solving through open-source programming.

Key Features

Covers a wide range of techniques including probabilistic modelling, dynamical systems, emergent behaviour, and optimisation.

Uses Python and R to provide practical, hands-on experience with open-source software for mathematical problems.

Features an innovative structure with four sections designed to demonstrate different families of solution approaches.

Each chapter starts with a specific problem to ground mathematical theory in real-world scenarios.

Provides a clear overview of relevant mathematical theory for every topic discussed in the book.

Part of the Chapman and Hall/CRC Series in Operations Research for specialized academic study.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
27 May 2022
Listed Since
12 November 2021

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