Mathematics: Books

The Poisson-Boltzmann Equation: An Introduction

This brief book introduces the Poisson-Boltzmann equation in three chapters that build upon one another, offering a systematic entry to advanced students and researchers. Chapter one formulates the equation and develops the linearized version of Debye-Hückel theory as well as exact solutions to the nonlinear equation in simple geometries and generalizations to higher-order equations. 
   
Chapter two introduces the statistical physics approach to the Poisson-Boltzmann equation. It allows the treatment of fluctuation effects, treated in the loop expansion, and in a variational approach. First applications are treated in detail: the problem of the surface tension under the addition of salt, a classic problem discussed by Onsager and Samaras in the 1930s, which is developed in modern terms within the loop expansion, and the adsorption of a charged polymer on a like-charged surface within the variational approach. 

Chapter three finally discusses the extension of Poisson-Boltzmann theory to explicit solvent. This is done in two ways: on the phenomenological level of nonlocal electrostatics and with a statistical physics model that treats the solvent molecules as molecular dipoles. This model is then treated in the mean-field approximation and with the variational method introduced in Chapter two, rounding up the development of the mathematical approaches of Poisson-Boltzmann theory.
 
After studying this book, a graduate student will be able to access the research literature on the Poisson-Boltzmann equation with a solid background (Provided by Publisher).

Algebraic Geometry I: Schemes: With Examples and Exercises

This book introduces the reader to modern algebraic geometry. It presents Grothendieck's technically demanding language of schemes that is the basis of the most important developments in the last fifty years within this area. A systematic treatment and motivation of the theory is emphasized, using concrete examples to illustrate its usefulness. Several examples from the realm of Hilbert modular surfaces and of determinantal varieties are used methodically to discuss the covered techniques. Thus the reader experiences that the further development of the theory yields an ever better understanding of these fascinating objects. The text is complemented by many exercises that serve to check the comprehension of the text, treat further examples, or give an outlook on further results. The volume at hand is an introduction to schemes. To get started, it requires only basic knowledge in abstract algebra and topology. Essential facts from commutative algebra are assembled in an appendix. It will be complemented by a second volume on the cohomology of schemes (Provided by Publisher).

This title was acquired through the Library's Order a Book service.

Engineering Mathematics and Artificial Intelligence : Foundations, Methods, and Applications

Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications discusses the theory behind Machine Learning and shows how Mathematics can be used in Artificial Intelligence. The book illustrates how to improve existing algorithms by using advanced Mathematics and offers cutting-edge Artificial Intelligence technologies. The book goes on to discuss how Machine Learning can support mathematical modeling and how to simulate data by using artificial neural networks. Future integration between Machine Learning and complex mathematical techniques is also highlighted within the book (Provided by Publisher).