This book describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. It provides all the implementation details of GEP so that anyone wit
In a small software engineering company in England, a game changing algorithm for encrypting data has been invented, which will have far reaching consequences for the fight against terrorism. The Secu
Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by lev
To examine, analyze, and manipulate a problem to the point of designing an algorithm for solving it is an exercise of fundamental value in many fields. With so many everyday activities governed by alg
This thesis presents a wholly new technique in the structural analysis of data that uses a ‘greedy’ algorithm to derive optimal sparse solutions, enabling faster and more accurate results in formerly
Mathematical elegance is a constant theme in this treatment of linear programming and matrix games. Condensed tableau, minimal in size and notation, are employed for the simplex algorithm. In the cont
An account of the story of internet genius Danny Lewin presents coverage of his love for Israel, the mathematic algorithm that rendered him an instant billionaire, his contributions as an anti-terrori
This book addresses challenges faced by both the algorithm designer and the chip designer, who need to deal with the ongoing increase of algorithmic complexity and required data throughput for today’s
Although wireless sensor networks (WSNs) have been employed across a wide range of applications, there are very few books that emphasize the algorithm description, performance analysis, and applicatio
Way of The Trade covers the hands-on tactical applications of the UndergroundTrader trading methods in the new computerized algorithm driven market place with an optimized market tested hybrid approac
Way of The Trade covers the hands-on tactical applications of the UndergroundTrader trading methods in the new computerized algorithm driven market place with an optimized market tested hybrid approac
Learn from the leading resource on the latest SEO techniquesAs the SEO industry undergoes a shift and Google changes its algorithm, successful SEO practitioners need to increase their knowledge of a w
Ever since Lorensen and Cline published their paper on the marching cubes algorithm, isosurfaces have been a standard technique for the visualization of 3D volumetric data. Yet there is no book exclus
On May 21, 2010, Daniel J. Cohen and Tom Scheinfeldt posted the following provocative questions online: “Can an algorithm edit a journal? Can a library exist without books? Can students build and mana
When Sam Elling creates an algorithm to pair people with their soul mates online, he meets Meredith, his own perfect match. But when Meredith’s grandmother Livvie dies unexpectedly, Sam puts his algor
There is a significant difference between designing a new algorithm, proving its correctness, and teaching it to an audience. When teaching algorithms, the teacher's main goal should be to convey the
In "Contagious Architecture," Luciana Parisi offers a philosophical inquiry into the status of the algorithm in architectural and interaction design. Her thesis is that algorithmic computation is not
An important review on advances in imaging for the equine practitioner! Chapters include an algorithm approach to imaging, advances in computed and digital radiography, advances in ultrasound, advance
The book first describes motivations for automating process fault analysis in detail and subsequently discusses MOME and its associated Fuzzy logic algorithm. Other chapters cover various topics relat
A unique guide to the state of the art of tracking, classification, and sensor managementThis book addresses the tremendous progress made over the last few decades in algorithm development and mathema
A predictive control algorithm uses a model of the controlled system to predict the system behavior for various input scenarios and determines the most appropriate inputs accordingly. Predictive contr
Nearly everyone knows K-means algorithm in the fields of data mining and business intelligence. But the ever-emerging data with extremely complicated characteristics bring new challenges to this "old"
Parameterized complexity is currently a thriving field in complexity theory and algorithm design. A significant part of the success of the field can be attributed to Michael R. Fellows. This Festschri
This book deals with the creation of the algorithm backbone that can enable a computer to perceive humans in some monitored space by processing the same signals that humans use in order to perform th
The Fourth Edition to the Introduction of Random Signals and Applied Kalman Filtering is updated to cover innovations in the Kalman filter algorithm and the proliferation of Kalman filtering applicati
Presents the story of the online search engine and its founders, from its beginning as a unique searching algorithm to its evolution into a multi-billion-dollar industry.
The design and analysis of data structures and efficient algorithms has gained considerable importance in recent years. The concept of "algorithm" is central in computer science, and "efficiency" is c
In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training dataCost of data annotation/labeling and
What if there were a way to measure your level of contentment; a life-fulfillment quotient if you will, and what if that level could be calculated using a mathematical algorithm that would yield a sin
Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms presents the subject in a coherent and
Implicit filtering is a way to solve bound-constrained optimization problems for which derivative information is not available. This book describes the algorithm, its convergence theory and a new MATL
Dynamic logic (DL) recently had a highest impact on the development in several areas of modeling and algorithm design. The book discusses classical algorithms used for 30 to 50 years (where improvemen
In Cushing’s Disease, leading authorities in the field offer a thorough review of the pathogenesis, diagnostic algorithm and treatment options for this complex disease. Beginning with a fascinating
Additive noise is ubiquitous in acoustics environments and can affect the intelligibility and quality of speech signals. Therefore, a so-called noise reduction algorithm is required to mitigate the ef
This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data set. The parameters describe the component d
* What is the essence of the similarity between linearly independent sets of columns of a matrix and forests in a graph? * Why does the greedy algorithm produce a spanning tree of minimum weight in a
* What is the essence of the similarity between linearly independent sets of columns of a matrix and forests in a graph? * Why does the greedy algorithm produce a spanning tree of minimum weight in a
Seeking new methods to satisfy increasing communication demands, researchers continue to find inspiration from the complex systems found in nature. From ant-inspired allocation to a swarm algorithm de
Video Tracking provides a comprehensive treatment of the fundamental aspects of algorithm and application development for the task of estimating, over time, the position of objects of interest seen t
Python Algorithms explains the Python approach to algorithm analysis and design. Written byMagnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical a
