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Essentials of Orthodontics - Diagnosis and Treatment (0813808685)

Essential Orthodontics: Diagnosis and Treatment is designed to help dental students, orthodontic residents, and general dentists understand the basic concepts and procedures essential to the diagnosis, treatment planning, and treatment of patients who have relatively simple malocclusion problems. The authors explain the steps of diagnosing basic orthodontic problems and analyzing dental radiographs and include many of the forms and charts dentists use for examination, diagnosis, and appliance design. Readers will learn about the mechanics of how appliances move teeth, the different types of appliances, and the orthodontic materials on the market. The authors also explain and demonstrate through color photos how to take dental impressions, create plaster casts, how to create the various fixed and removable appliances, and how to write a laboratory prescription for each appliance. A needed text for the dental student, it is also an excellent resource for dentists wanting to expand their ...
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Numerical Analysis of Partial Differential Equations Using Maple and MATLAB (9781611975307)



This book provides an elementary yet comprehensive introduction to the numerical solution of partial differential equations (PDEs). Used to model important phenomena, such as the heating of apartments and the behavior of electromagnetic waves, these equations have applications in engineering and the life sciences, and most can only be solved approximately using computers.

Numerical Analysis of Partial Differential Equations Using Maple and MATLAB provides detailed descriptions of the four major classes of discretization methods for PDEs (finite difference method, finite volume method, spectral method, and finite element method) and runnable MATLAB (R) code for each of the discretization methods and exercises. It also gives self-contained convergence proofs for each method using the tools and techniques required for the general convergence analysis but adapted to the simplest setting to keep the presentation clear and complete.

This book is intended for advanced undergraduate and early graduate students in numerical analysis and scientific computing and researchers in related fields. It is appropriate for a course on numerical methods for partial differential equations.


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