Introduction TO Matlab For Biology

This textbook takes you from the very first time you open MATLAB® through to a position where you can comfortably integrate this computer language into your research or studies. The book will familiarise you with the MATLAB interface, show you how to use the program´s built-in functions and carefully guide you towards creating your own functions and scripts so that you can use MATLAB as a sophisticated tool to support your own research.

Harness the power of MATLAB to analyze complex problems with matrices
Introduction to MATLAB® with Numerical Preliminaries provides thorough training for using MATLAB software with an emphasis on scientific computing. Readers learn how to apply their knowledge to a variety of fields, including linear algebra, probability, finance, ecology, and discrete mathematics. The text carefully balances its coverage among four pedagogical components: analytic concepts, geometric concepts, programs and algorithms, and applications. Detailed problem sets build the reader's understanding and competence in each of these areas.

Introduction to Mathematics for Environmental Science evolved from the author’s 30 years’ experience teaching mathematics to graduate and advanced undergraduate students in the environmental sciences. Its basic purpose is to teach various types of mathematical structures and how they can be applied in a broad range of environmental science subfields.

MATLAB: A Practical Introduction to Programming and Problem Solving, winner of TAA’s 2017 Textbook Excellence Award ("Texty"), guides the reader through both programming and built-in functions to easily exploit MATLAB's extensive capabilities for tackling engineering and scientific problems. Assuming no knowledge of programming, this book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB.

Authors: Chou, Ching Shan, Friedman, Avner
Includes reviews of basic ordinary differential equations and modeling techniques
Addresses MATLAB programming for students without programming experience
Includes health topics of great public interest
Section of solutions included at the end of the book
Provides readers with background in numerical analysis and how they are applied in simulations of models

This book gives a good introduction to evolutionary computation for those who are first entering the field and are looking for insight into the underlying mechanisms behind them. This book also outlines some ideas on when genetic algorithms and genetic programming should be used, and this is useful since a newcomer to the field may be tempted to view a genetic algorithm as merely a fancy Monte Carlo simulation.

Combining two important and growing areas of applied mathematics—control theory and modeling—this textbook introduces and builds on methods for simulating and tackling problems in a variety of applied sciences. Control theory has moved from primarily being used in engineering to an important theoretical component for optimal strategies in other sciences, such as therapies in medicine or policy in economics. Applied to mathematical models, control theory has the power to change the way we view biological and financial systems, taking us a step closer to solving concrete problems that arise out of these systems.