"This book addresses different aspects of probabilistic modeling, stochastic methods, probabilistic distributions, data analysis, optimization methods, and probabilistic methods in risk analysis"--...
ost of the time, a book about optimization is viewed as a book for DBAs. Since our goal is to prove that optimization is more than just building indexes, we hope that this book will be beneficial for a broader audience.
This book is for IT professionals working in PostgreSQL who want to develop performant and scalable...
Dive Into Algorithms is a broad introduction to algorithms using the Python Programming Language.
Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the world's most interesting algorithms. With little more than a bit of computer programming experience and basic high-school math,...
Nearly all the computers sold today have a multi-core processor, but only a small number of applications are written to take advantage of the extra cores. Most programmers are playing catch-up. A recent consultation with a group of senior programming engineers revealed the top three hurdles in adopting parallelism: the challenges of porting...
Unlike wired networks where transmitters have no effect on receivers other than their own, in wireless networks we are limited by interference. The traditional routing methods are not optimal any more when it comes to a wireless medium. The maximum data rate on each link depends not only on the power in that link but also on the transmitted...
This chapter gives an overview of quantum solutions. You will
see how quantum computing can be applied in real life. The
problem and solutions are presented with the solution benefits.
The solution benefits are automation, cost reduction and profit
improvements, efficiency improvement, and defect reduction.
The solutions...
Machine learning is rapidly changing the world, from diverse types of applications and research pursued in industry and academia.
Machine learning is affecting every part of your daily life. From voice assistants using NLP and machine learning to make appointments, check your calendar, and play music,...
Cognitive networks can dynamically adapt their operational parameters in response to user needs or changing environmental conditions. They can learn from these adaptations and exploit knowledge to make future decisions.
Cognitive networks are the future, and they are needed simply because they enable users to focus on things other...
Performance Engineering is the core of all software products!! By improving the performance of their application, an enterprise can provide better user experience which leads to increased revenue. The cause of most performance issues is bottlenecks around CPU Utilization, Memory Access and Input/Output devices. There are methods to identify...
Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute...
"This is a book about scheduling algorithms. … The book contains eleven chapters. … Most of the chapters contain the summarized complexity results. In this edition the complexity columns have been updated. The book is completed by the bibliography which also has been updated and...
Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects.
Key Features
Learn the fundamentals of Python programming with interactive projects
