Learn IT - Books tags algorithm

Numerical Techniques in Electromagnetics with MATLAB

CRC Press, 2009

Despite the dramatic growth in the availability of powerful computer resources, the EM community lacks a comprehensive text on the computational techniques used to solve EM problems. The first edition of Numerical Techniques in Electromagnetics filled that gap and became the reference of choice for thousands of engineers,...

Hands-On Automated Machine Learning: A beginner's guide to building automated machine learning systems using AutoML and Python

Packt Publishing, 2018

Automate data and model pipelines for faster machine learning applications

Key Features

Build automated modules for different machine learning components

Understand each component of a machine learning pipeline in depth

Learn to use different open source...

Road Terrain Classification Technology for Autonomous Vehicle (Unmanned System Technologies)

Springer, 2019

This book provides cutting-edge insights into autonomous vehicles and road terrain classification, and introduces a more rational and practical method for identifying road terrain. It presents the MRF algorithm, which combines the various sensors’ classification results to improve the forward LRF for predicting upcoming road terrain types....

Underwater Real-Time 3D Acoustical Imaging: Theory, Algorithm and System Design (Signals and Communication Technology)

Springer, 2019

This book presents the topic of underwater real-time 3-D acoustical imaging covering the theory, algorithms and system design. It summarizes recent advances in wideband and ultra-wideband underwater real-time 3-D acoustical imaging, which will be very useful for developing next-generation systems. Through simulation techniques, readers are able...

Process Algebra for Parallel and Distributed Processing (Chapman & Hall / Crc Computational Science)

CRC Press, 2008

Despite the importance of applications of process algebras for the success of the field, [related publications] concentrate strongly on the theoretical achievements. This shortcoming is compensated for in a splendid way by this book, which brings together the state of the art in research on applications of process algebras.
—From the...

Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python

Apress, 2017

Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You’ll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement...

Numerical Methods in Engineering with MATLAB

Cambridge University Press, 2005

This book is targeted primarily toward engineers and engineering students of advanced
standing (sophomores, seniors and graduate students). Familiarity with a
computer language is required; knowledge of basic engineering subjects is useful, but
not essential.

The text attempts to place emphasis on numerical methods, not...

Wavelets and Their Applications (Digital Signal and Image Processing series)

ISTE Publishing Company, 2007

Showing how wavelets combine signal in image processing, mathematics, physics, and electrical engineering, this introduction to wavelet technology helps engineers master the basic techniques for using wavelets in such applications as image compression, turbulence, human vision, radar, and earthquake prediction. Among the topics covered are the...

Essential MATLAB for Scientists and Engineers

Butterworth-Heinemann, 2002

Based on a teach-yourself approach, the fundamentals of MATLAB are illustrated throughout with many examples from a number of different scientific and engineering areas, such as simulation, population modelling, and numerical methods, as well as from business and everyday life. Some of the examples draw on first-year university level maths, but...

A VLSI Architecture for Concurrent Data Structures (The Springer International Series in Engineering and Computer Science)

Springer, 2011

Concurrent data structures simplify the development of concurrent programs by encapsulating commonly used mechanisms for synchronization and commu nication into data structures. This thesis develops a notation for describing concurrent data structures, presents examples of concurrent data structures, and describes an architecture to support...

Algorithms: Design and Analysis (De Gruyter Textbook)

De Gruyter, 2021

Algorithms play a central role both in the theory and in the practice of computing. The goal of the authors was to write a textbook that would not trivialize the subject but would still be readable by most students on their own. The book contains over 120 exercises. Some of them are drills; others make important points about the...

Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)

Springer, 2007

Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely...

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