Best Biomathematics Books of 2026

Sciencia: Mathematics, Physics, Chemistry, Biology, and Astronomy for All (Wooden Books) is a collection of six short volumes covering the fundamental principles of science, from mathematics and physics to biology and astronomy. The book is beautifully produced with engravings, woodcuts, and original drawings, making it an excellent reference and an elegant gift. Wooden Books, the publisher, is known for producing eco-friendly and educational books that do not date. This book is an essential read for anyone interested in the interconnected knowledge of the modern sciences.

This study guide is a comprehensive resource for anyone looking to pass the CSCS Certified Strength & Conditioning Specialist Exam. It covers everything needed to become a certified coach, referencing the latest edition of the Essentials of Strength Training and Conditioning. The guide is organized in seven performance domains, making it easy to follow and practice. It includes 100 practice questions that are similar to the actual test, and it has already helped many fitness professionals achieve optimal results. Overall, this study guide is highly recommended for anyone looking to pass the CSCS exam on the first attempt.

Kairry's "EXCEL 2023: The Beginners Guide to Master Microsoft Excel from Scratch in Less than 7 Min. a Day" is an excellent resource for anyone who wants to quickly learn how to use Excel to its full potential. The book is written by George J. Wright, a computer engineer, and provides a comprehensive guide to Excel, starting with basic commands to advanced formulas. The step-by-step tutorials with photos make it easy to follow and never make a mistake. The book also covers creating charts, pivot tables, macros, and Excel tricks, tips, and shortcuts. Overall, this book is an excellent resource for anyone looking to improve their Excel skills and increase their productivity.

The Drunkard's Walk: How Randomness Rules Our Lives by Leonard Mlodinow explores how randomness, chance, and probability are significant factors in our daily lives and how we often misunderstand their impact. Mlodinow reveals how successes and failures are profoundly influenced by chance, from the rise and fall of movie stars to the outcomes of political polls. By exposing psychological illusions and showing the true nature of change, Mlodinow provides a new perspective on decision-making and problem-solving. Overall, this book offers a fresh and insightful journey into the unpredictable nature of life and the importance of understanding probability in decision-making.

A Biologist's Guide to Mathematical Modeling in Ecology and Evolution by Sarah Otto and Troy Day is an essential resource for biology students seeking to understand and develop mathematical models in their field. The book covers classic models in ecology and evolution, as well as more complex class-structured and probabilistic models, with primers and exercises to introduce readers to advanced mathematical topics. The authors provide real-world examples of how models have been used to understand topics such as HIV, chaos, and extinction. Overall, this book is a valuable guide for the next generation of biologists, providing step-by-step recipes for constructing and analyzing models.

Introduction to Error Analysis: The Science of Measurements, Uncertainties, and Data Analysis is a must-read for anyone interested in statistics and data analysis. This book provides a solid introduction to essential statistical concepts, propagation of error, curve fitting, and more. The book is easy to follow, and it includes MATLAB programs that allow readers to perform advanced analyses without starting from complicated formulas. The author also provides established conventions for reporting results and helps readers develop the skills to spot incorrectly analyzed scientific literature. Overall, this book is practical, affordable, and an excellent resource for anyone looking to take their science skills to the next level.

Optimal Control Applied to Biological Models is an insightful book that delves into the mathematical aspects of optimal control theory and its application to biological models. The book covers a range of topics, from the most basic problems for continuous time ODEs to more complex problems such as variations of initial conditions, imposed bounds on control, multiple states and controls, and linear dependence on the control. The book also includes fourteen interactive sections with various applications, such as immunology and epidemic disease models, management decisions in harvesting, and resource allocation models. This book is an excellent resource for professionals in the biological sciences, physics, engineering, and economics who rely on optimal control to make management and strategy decisions.

The Introduction to Theoretical Neurobiology: Volume 2, Nonlinear and Stochastic Theories is an advanced guide to the quantitative theory of the dynamics of neurons. Aimed at experts in the field, it covers topics such as the effects of reversal potentials on response to synaptic input, action potential generation, and statistical analysis of neuronal data. The book is more complex than its predecessor and uses numerical methods of solution of partial differential equations. Overall, it is an excellent resource for those looking to expand their knowledge of theoretical neurobiology.

This adult dot-to-dot book, titled "Ultimate Dot to Dot Cats Extreme Stress Relief and Relaxing Challenges Puzzles from 150 to 411 Dots: Easy to Read Connect the Dots for Adults," is a perfect way to unwind and relax. With a wide range of adorable and majestic cat images, this book offers puzzles ranging up to 433 dots. The drawings are professionally created, and the finished images are breathtaking and can be colored and hung up. The book also includes an answer key at the end to help you in case you get stuck. Overall, this book is a great way to relieve stress and enjoy the challenge of connecting the dots to reveal beautiful cat images.

Introduction to Mathematical Oncology is an essential book for anyone interested in understanding cancer biology and designing better cancer treatments. The authors present mathematically tractable models that are biologically motivated and cover the medical and biological background of the diseases. The book also introduces mathematical and programming tools, analytical and numerical studies of the models, and new mathematical tools for future improvements. The book is classroom-tested and can be used in a variety of ways, including a single-semester undergraduate course or a full-year sequence on mathematical oncology. Overall, this book is timely, unique, and packed with a broad range of examples and important information.