Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Numerical Solution of Partial Differential Equations on Parallel Computers
Numerical Solution of Partial Differential Equations on Parallel Computers

Since the dawn of computing, the quest for a better understanding of Nature has been a driving force for technological development. Groundbreaking achievements by great scientists have paved the way from the abacus to the supercomputing power of today. When trying to replicate Nature in the computer’s silicon test tube, there is need...

Parallel Algorithms and Cluster Computing: Implementations, Algorithms and Applications
Parallel Algorithms and Cluster Computing: Implementations, Algorithms and Applications
This book presents major advances in high performance computing as well as major advances due to high performance computing. It contains a collection of papers in which results achieved in the collaboration of scientists from computer science, mathematics, physics, and mechanical engineering are presented. From the science problems to the...
Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras
Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras

Explore various Generative Adversarial Network architectures using the Python ecosystem

Key Features

  • Use different datasets to build advanced projects in the Generative Adversarial Network domain
  • Implement projects ranging from generating 3D shapes to a face aging...
Introduction to Parallel Processing: Algorithms and Architectures (Series in Computer Science)
Introduction to Parallel Processing: Algorithms and Architectures (Series in Computer Science)
The field of digital computer architecture has grown explosively in the past two decades. Through a steady stream of experimental research, tool-building efforts, and theoretical studies, the design of an instruction-set architecture, once considered an art, has been transformed into one of the most quantitative branches of...
Parallel Complexity Theory (Research Notes in Theoretical Computers Science)
Parallel Complexity Theory (Research Notes in Theoretical Computers Science)

Parallel complexity theory, the study of resource-bounded parallel computation, is surely one of the fastest-growing areas of theoretical Computer Science. In the light of this, it would be foolish to attempt an encyclopedic coverage of the field. However, it is the belief of the author that its foundations are becoming increas ingly...

Subband Adaptive Filtering: Theory and Implementation
Subband Adaptive Filtering: Theory and Implementation

Subband adaptive filtering is rapidly becoming one of the most effective techniques for reducing computational complexity and improving the convergence rate of algorithms in adaptive signal processing applications. This book provides an introductory, yet extensive guide on the theory of various subband adaptive filtering techniques. For...

Sustainable Software Development: An Agile Perspective (Agile Software Development Series)
Sustainable Software Development: An Agile Perspective (Agile Software Development Series)
Software development for immediate success and long-term sustainability

Sustainable Software Development brings together principles and practices for building software that is technically superior, delivers exceptional business value, and can evolve rapidly to reflect any change to your business or technical...

Good Manufacturing Practices for Pharmaceuticals, Seventh Edition (Drugs and the Pharmaceutical Sciences)
Good Manufacturing Practices for Pharmaceuticals, Seventh Edition (Drugs and the Pharmaceutical Sciences)

This book provides insight into the world of pharmaceutical quality systems and the key elements that must be in place to change the business and organizational dynamics from task-oriented procedure-based cultures to truly integrated quality business systems that are self-detecting and correcting. Chapter flow has been changed to...

Neural Networks: Computational Models and Applications (Studies in Computational Intelligence)
Neural Networks: Computational Models and Applications (Studies in Computational Intelligence)

Artificial neural networks, or simply called neural networks, refer to the various mathematical models of human brain functions such as perception, computation and memory. It is a fascinating scientific challenge of our time to understand how the human brain works. Modeling neural networks facilitates us in investigating the...

Probabilistic Databases (Synthesis Lectures on Data Management)
Probabilistic Databases (Synthesis Lectures on Data Management)
Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with some probability. Applications in many areas such as information extraction, RFID and scientific data management, data cleaning, data integration, and financial risk assessment produce large volumes of...
Representations for Genetic and Evolutionary Algorithms
Representations for Genetic and Evolutionary Algorithms

One of the major challenges for researchers in the field of management science,
information systems, business informatics, and computer science is to develop
methods and tools that help organizations, such as companies or public institutions,
to fulfill their tasks efficiently. However, during the last decade,
...

Systems Thinking, Third Edition: Managing Chaos and Complexity: A Platform for Designing Business Architecture
Systems Thinking, Third Edition: Managing Chaos and Complexity: A Platform for Designing Business Architecture

This is an unconventional book for an unconventional reader. It is intended for those professionals who, in addition to their specialized knowledge, would like to get a handle on life so they may put their special text into its proper context. It speaks to those thinkers and practitioners who have come to realize that learning to be...

Result Page: 100 99 98 97 96 95 94 93 92 91 90 
©2019 LearnIT (support@pdfchm.net) - Privacy Policy