This book provides astronomers with a guide to specifying an astrophysical model for a set of observations, selecting an algorithm to determine the parameters of the model, and estimating the errors of the parameters.
An Introduction with Case Studies and Solutions in Various Algebraic Modeling Languages
Focusing on mathematical optimization, this book offers a structured method for formulating and solving diverse real-world problems, including production, distribution, and scheduling. It covers various optimization techniques such as linear and nonlinear programming, while addressing practical issues like valid inequalities and data visualization. Readers will gain insights into modeling challenges across industries like process, energy, and logistics, equipping them with skills to tackle complex optimization scenarios in an increasingly digital environment.
Focusing on the formulation of mathematical models, this book delves into the light curves of eclipsing binary stars and the algorithms used to create these models. The latest edition introduces new physics relevant to light curve modeling and distance fitting, along with fresh applications and updated references, enhancing its relevance for researchers in the field.