Learn IT - Books tags computation

Circuit Systems with MATLAB and PSpice

John Wiley & Sons, 2007

Software tools applied to circuit analysis and design are rapidly evolving, enabling students to move beyond the time-consuming, math-intensive methods of traditional circuit instruction. By incorporating MATLAB 7.0 and PSpice 10.0, alongside systematic use of the Laplace transform, Yang and Lee help readers rapidly gain an intuitive...

Statistical Analysis of Financial Data in R (Springer Texts in Statistics)

Springer, 2013

Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some of the most challenging issues facing financial engineers. It shows how sophisticated mathematics and modern statistical techniques can...

Deep Belief Nets in C++ and CUDA C: Volume 1: Restricted Boltzmann Machines and Supervised Feedforward Networks

Apress, 2018

Discover the essential building blocks of the most common forms of deep belief networks. At each step this book provides intuitive motivation, a summary of the most important equations relevant to the topic, and concludes with highly commented code for threaded computation on modern CPUs as well as massive parallel processing on computers...

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...

Algorithms and Theory of Computation Handbook (Chapman & Hall/CRC Applied Algorithms and Data Structures series)

CRC Press, 1998

This comprehensive compendium of algorithms and data structures covers many theoretical issues from a practical perspective. Chapters include information on finite precision issues as well as discussions on specific algorithms where algorithmic techniques are of special importance - for example, algorithms for drawing graphs, algorithms for...

Graphs, Networks and Algorithms (Algorithms and Computation in Mathematics)

Springer, 2012

From the reviews of the previous editions

".... The book is a first class textbook and seems to be indispensable for everybody who has to teach combinatorial optimization. It is very helpful for students, teachers, and researchers in this area. The author finds a striking synthesis of nice and interesting...

Explorations in Computing: An Introduction to Computer Science (Chapman & Hall/CRC Textbooks in Computing)

CRC Press, 2010

Based on the author’s introductory course at the University of Oregon, Explorations in Computing: An Introduction to Computer Science focuses on the fundamental idea of computation and offers insight into how computation is used to solve a variety of interesting and important real-world problems. Taking an...

Mobile Robots: The Evolutionary Approach (Studies in Computational Intelligence)

Springer, 2007

The design and control of autonomous intelligent mobile robotic systems operating in unstructured changing environments includes many objective difficulties. There are several studies about the ways in which, robots exhibiting some degree of autonomy, adapt themselves to fit in their environments. The application and use of bio-inspired and...

Analysis of Algorithms : An Active Learning Approach

Jones and Bartlett Publishers, 2001

The goal of Analysis of Algorithms is to raise awareness of the effect that algorithms have on the efficiency of a program and to develop the necessary skills to analyze general algorithms used in programs. The text presents the material with the expectation that it can be used with active and cooperative learning methodology, based on the premise...

Cooperative Control of Distributed Multi-Agent Systems

John Wiley & Sons, 2008

The paradigm of ‘multi-agent’ cooperative control is the challenge frontier for new control system application domains, and as a research area it has experienced a considerable increase in activity in recent years. This volume, the result of a UCLA collaborative project with Caltech, Cornell and MIT, presents cutting edge results in...

Evolutionary Algorithms and Chaotic Systems (Studies in Computational Intelligence)

Springer, 2012

This book discusses the mutual intersection of two fields of research: evolutionary computation, which can handle tasks such as control of various chaotic systems, and deterministic chaos, which is investigated as a behavioral part of evolutionary algorithms.

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Markov Networks in Evolutionary Computation (Adaptation, Learning, and Optimization)

Springer, 2012

Markov networks and other probabilistic graphical modes have recently received an upsurge in attention from Evolutionary computation community, particularly in the area of Estimation of distribution algorithms (EDAs). EDAs have arisen as one of the most successful experiences in the application of machine learning methods in...

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