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 From the reviews: "In An Introduction to Scientific Computing, the authors present approaches to the numerical solution of problems drawn from a variety of applications. This is a graduate-level introduction and the pace is brisk. This is a strong text on scientific computing for advanced students in applied mathematics. the book is most appropriate for students with some prior experience in scientific computing ." (William J. Satzer, MathDL, February, 2007) This book provides twelve computational projects aimed at numerically solving problems from a broad range of applications including Fluid Mechanics, Chemistry, Elasticity, Thermal Science, Computer Aided Design, Signal and Image Processing. For each project the reader is guided through the typical steps of scientific computing from physical and mathematical description of the problem, to numerical formulation and programming and finally to critical discussion of numerical results. Considerable emphasis is placed on practical issues of computational methods. The last section of each project contains the solutions to all proposed exercises and guides the reader in using the MATLAB scripts. The mathematical framework provides a basic foundation in the subject of numerical analysis of partial differential equations and main discretization techniques, such as finite differences, finite elements, spectral methods and wavelets). The book is primarily intended as a graduate-level text in applied mathematics, but it may also be used by students in engineering or physical sciences. It will also be a useful reference for researchers and practicing engineers.
Hands-On Artificial Intelligence with Java for Beginners: Build intelligent apps using machine learning and deep learning with Deeplearning4j

Build, train, and deploy intelligent applications using Java libraries

#### Key Features

• Leverage the power of Java libraries to build smart applications
• Build and train deep learning models for implementing artificial intelligence
• Learn various algorithms to...
Integrated Information Management: Applying Successful Industrial Concepts in IT (Business Engineering)
This book addresses the current challenges facing information management (IM) and presents practical solution propositions. It is divided into three parts. The first section describes six current trends and challenges to IM. The second section introduces a comprehensive model of integrated information management (IIM), which represents an answer to...
OSGi and Apache Felix 3.0 Beginner's Guide

This book is a step-by-step beginner's guide based on developing a case study (a book inventory) that walks the developer through the implementation while progressively explaining the surrounding concepts in context. Throughout the book, the author discusses software design concepts and introduces productivity tools that build up the...