Practical Data Analysis in Chemistry
Written for post-graduate students, researchers, and industrial chemists interested in data analysis and software development, this book illustrates different aspects of theory applicable to data analysis using MATLAB. Core chapters cover the theory for modeling of chemical processes, an introduction to linear and non-linear least squares fitting, and methods for model-free data analysis.
Teaching with MATLAB and Simulink
Find resources to help you enable hands-on learning with MATLAB and Simulink, plus tools for delivering instruction, engaging students, and assessing outcomes.