Mathematical Modelling With Case Studies

Progress in plant biology relies on the quantification, analysis and mathematical modeling of data over different time and length scales. This book describes common mathematical and computational approaches as well as some carefully chosen case studies that demonstrate the use of these techniques to solve problems at the forefront of plant biology. Each chapter is written by an expert in field with the goal of conveying concepts whilst at the same time providing sufficient background and links to available software for readers to rapidly build their own models and run their own simulations. This book is aimed at postgraduate students and researchers working the field of plant systems biology and synthetic biology, but will also be a useful reference for anyone wanting to get into quantitative plant biology.

This book presents the theory and practical applications of the Master equation approach, which provides a powerful general framework for model building in a variety of disciplines. The aim of the book is to not only highlight different mathematical solution methods, but also reveal their potential by means of practical examples.

Machine Learning and Data Science for programming beginners using python with scikit-learn, SciPy, Matplotlib & Pandas.

This book examines the translation of our physical understanding of sound into mathematical models that can simulate acoustic propagation, noise and reverberation in the sea. The book provides useful guidance to systems engineers and operations analysts interested in simulating sonar performance.

This volume uses chemometric mathematical modelling approaches to investigate geographic areas at risk of ecological degradation due to pollution. While most analytical approaches in environmental research involve sophisticated and sensitive instrumental techniques, this book employs chemometric techniques to create a corresponding data matrix to extract accurate and realistic environmental information in areas vulnerable to and affected by hazardous substances.