The emphasis of the book is given in how to construct different types of solutions (exact, approximate analytical, numerical, graphical) of numerous nonlinear PDEs correctly, easily, and quickly. The reader can learn a wide variety of techniques and solve numerous nonlinear PDEs included and many other differential equations, simplifying...
Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java,...
Build an inexpensive cluster of multiple Raspberry Pi computers and install all the required libraries to write parallel and scientific programs in Python 3. This book covers setting up your Raspberry Pis, installing the necessary software, and making a cluster of multiple Pis.
Geometric Fundamentals of Robotics provides an elegant introduction to the geometric concepts that are important to applications in robotics. This second edition is still unique in providing a deep understanding of the subject: rather than focusing on computational results in kinematics and robotics, it includes significant state-of-the...
Thanks to its inherent resilience to failure and the increasing availability of open-source cloud infrastructure software and virtualization software stacks, services delivered from the cloud have expanded past web applications to include storage, raw computing, and access to specialized services. The possibility of satisfying maintenance and...
Windows Azure was officially announced at PDC 2008, but looking back, I had a
quick look in the kitchen of Windows Azure in 2007 while I was visiting Redmond
during the Lead Enterprise Architect Program (LEAP) sessions. Pat Helland, a senior
architect at Microsoft, gave a talk on The irresistible forces meet the movable objects....
Conventional model-based data processing methods are computationally expensive and require experts’ knowledge for the modelling of a system; neural networks provide a model-free, adaptive, parallel-processing solution. Neural Networks in a Softcomputing Framework presents a thorough review of the most popular neural-network methods and their...
