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Finite Element Modeling for Materials Engineers Using MATLAB®
Finite Element Modeling for Materials Engineers Using MATLAB®

The finite element method is often used for numerical computation in the applied sciences. It makes a major contribution to the range of numerical methods used in the simulation of systems and irregular domains, and its importance today has made it an important subject of study for all engineering students.
 
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Modular Algorithms in Symbolic Summation and Symbolic Integration (Lecture Notes in Computer Science)
Modular Algorithms in Symbolic Summation and Symbolic Integration (Lecture Notes in Computer Science)
This work brings together two streams in computer algebra: symbolic integration and summation on the one hand, and fast algorithmics on the other hand. In many algorithmically oriented areas of computer science, theanalysisof- gorithms–placedintothe limelightbyDonKnuth’stalkat the 1970ICM –provides a crystal-clear criterion for...
Problems & Solutions In Scientific Computing With C++ And Java Simulations
Problems & Solutions In Scientific Computing With C++ And Java Simulations
Scientific computing is a collection of tools, techniques and theories required to develop and solve mathematical models in science and engineering on a computer. This timely book provides the various skills and techniques needed in scientific computing. The topics range in difficulty from elementary to advanced, and all the latest fields in...
JavaScript Unit Testing
JavaScript Unit Testing

This book covers the most popular modern JavaScript Unit testing frameworks and gives you a crash course in how to use and automate them. Lots of examples and practical instructions make learning easy and enjoyable.

Overview

  • Learn and understand, using practical examples, synchronous and...
Data Abstraction & Problem Solving with C++: Walls and Mirrors (6th Edition)
Data Abstraction & Problem Solving with C++: Walls and Mirrors (6th Edition)
Data Abstraction and Problem Solving with C++: Walls & Mirrors provides a firm foundation in data abstraction that emphasizes the distinction between specifications and implementation as the basis for an object-oriented approach. Software engineering principles and concepts as well as UML diagrams are used to enhance...
Statistical Tools for Nonlinear Regression: A Practical Guide With S-PLUS and R Examples (Springer Series in Statistics)
Statistical Tools for Nonlinear Regression: A Practical Guide With S-PLUS and R Examples (Springer Series in Statistics)

Statistical Tools for Nonlinear Regression presents methods for analyzing data. It has been expanded to include binomial, multinomial and Poisson non-linear models. The examples are analyzed with the free software nls2 updated to deal with the new models included in the second edition. The nls2 package is implemented in S-PLUS and R....

Mining Your Own Business in Health Care Using DB2 Intelligent Miner for Data
Mining Your Own Business in Health Care Using DB2 Intelligent Miner for Data
The data you collect about your patients is one of the greatest assets that any business has available. Buried within the data is all sorts of valuable information that could make a significant difference to the way you run your business and interact with your...
Knowledge Reuse and Agile Processes: Catalysts for Innovation
Knowledge Reuse and Agile Processes: Catalysts for Innovation
Innovation, agility, and coordination are paramount in the support of value in the global knowledge economy. Therefore, the long-term success of a company is increasingly dependent on its underlying resilience and agility.

Knowledge Reuse and Agile Processes: Catalysts for Innovation addresses flexibility of both business...

Mathematical Methods Using Mathematica®: For Students of Physics and Related Fields (Undergraduate Texts in Contemporary Physics)
Mathematical Methods Using Mathematica®: For Students of Physics and Related Fields (Undergraduate Texts in Contemporary Physics)
Intended as a companion for textbooks in mathematical methods for science and engineering, this book presents a large number of numerical topics and exercises together with discussions of methods for solving such problems using Mathematica(R). Although it is primarily designed for use with the author's "Mathematical Methods: For...
Principles of Distributed Database Systems
Principles of Distributed Database Systems
This third edition of a classic textbook can be used to teach at the senior undergraduate and graduate levels. The material concentrates on fundamental theories as well as techniques and algorithms. The advent of the Internet and the World Wide Web, and, more recently, the emergence of cloud computing and streaming data applications, has forced...
Mathematical Methods and Algorithms for Signal Processing
Mathematical Methods and Algorithms for Signal Processing

Mathematical Methods and Algorithms for Signal Processing tackles the challenge of providing readers and practitioners with the broad tools of mathematics employed in modern signal processing. Building from an assumed background in signals and stochastic processes, the book provides a solid foundation in analysis, linear...

S Programming (Statistics and Computing)
S Programming (Statistics and Computing)

S is a high-level language for manipulating, analysing and displaying data. It forms the basis of two highly acclaimed and widely used data analysis software systems, the commercial S-PLUS® and the Open Source R. This book provides an in-depth guide to writing software in the S language under either or both of those systems. It...

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