Learn IT - Books tags computation

The Iterated Prisoners' Dilemma: 20 Years on (Advances in Natural Computation)

World Scientific Publishing, 2007

In 1984, Robert Axelrod reported the results of two iterated prisoner's dilemma (IPD) competitions [Axelrod (1984)]. The booked was to be a catalyst for much of the research in this area since that time. It is unlikely that you would write a scientific paper about IPD, without citing Axelrod's 1984 book. The book is even more remarkable in that it...

Principles of Solid Mechanics

CRC Press, 2000

There is no area of applied science more diverse and powerful than the mechanics of deformable solids nor one with a broader and richer history. From Galileo and Hooke through Coulomb, Maxwell, and Kelvin to von Neuman and Einstein, the question of how solids behave for structural applications has been a basic theme for physical research exciting...

Computational Systems Bioinformatics: Csb2007 Conference Proceedings, University of California, San Diego, USA, 13-17 August 2007

Imperial College Press, 2007

This volume contains about 40 papers covering many of the latest developments in the fast-growing field of bioinformatics. The contributions span a wide range of topics, including computational genomics and genetics, protein function and computational proteomics, the transcriptome, structural bioinformatics, microarray data analysis, motif...

Numerical Analysis

Georgetown University Press, 2011

Computational science is fundamentally changing how technological questions are addressed. The design of aircraft, automobiles, and even racing sailboats is now done by computational simulation. The mathematical foundation of this new approach is numerical analysis, which studies algorithms for computing expressions defined with real numbers....

TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

O'Reilly, 2018

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects...

Multiscale Theory of Composites and Random Media

CRC Press, 2018

This is the first book to introduce Green-function-based multiscale theory and the corresponding finite element method, which are readily applicable to composites and random media. The methodology is considered to be the one that most effectively tackles the uncertainty of stress propagation in complex heterogeneities of random...

Semi-Supervised Learning (Adaptive Computation and Machine Learning)

MIT Press, 2006

In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in which no label data are given). Interest in SSL has increased in recent years, particularly because of application domains in which unlabeled data are...

Automated Trading with R: Quantitative Research and Platform Development

Apress, 2016

Learn to trade algorithmically with your existing brokerage, from data management, to strategy optimization, to order execution, using free and publicly available data. Connect to your brokerage’s API, and the source code is plug-and-play.

Automated Trading with R explains automated trading, starting with its...

Data Mining : Concepts, Models, Methods, and Algorithms

John Wiley & Sons, 2002

We are surrounded by data, numerical and otherwise, which must be analyzed and processed to convert it into information that informs, instructs, answers, or otherwise aids understanding and decision-making. Due to the ever-increasing complexity and size of today’s data sets, a new term, data mining, was created to describe the...

Synchronization of Parallel Programmes (Studies in computer science)

North Oxford Academic, 1985

The use of modular and parallel programming languages, and the development of distributed architectures is having a profound influence on computer programming and systems design; hardware and performance can now conspire to produce much higher operating speeds than could previously be achieved through sequential processing. Executing...

Mathematical Methods in Image Reconstruction (Monographs on Mathematical Modeling and Computation)

SIAM, 2001

Since the advent of computerized tomography in radiology, many imaging techniques have been introduced in medicine, science, and technology. This book describes the state of the art of the mathematical theory and numerical analysis of imaging. The authors survey and provide a unified view of imaging techniques, provide the necessary...

Spectrum-Aware Mobile Computing: Convergence of Cloud Computing and Cognitive Networking (Signals and Communication Technology)

Springer, 2019

This book presents solutions to the problems arising in two trends in mobile computing and their intersection: increased mobile traffic driven mainly by sophisticated smart phone applications; and the issue of user demand for lighter phones, which cause more battery power constrained handhelds to offload computations to resource...

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