Advances in Computers |
|
Since its first volume in 1960, Advances in Computers has presented detailed coverage of innovations in hardware and software and in computer theory, design, and applications. It has also provided contributorswith a medium in which they can examine their subjects in greater depth and breadth than that allowed by standard journal articles. As a result, many articles have become standard references that continue to be of significant, lasting value despite the rapid growth taking place in the field.
Advances in Computers
|
Differential Equations With Graphical and Numerical Methods |
|
(Pearson Education) A college sophomore level textbook in differential equations employing graphical and numerical methods as means of illuminating concepts. Contains all of the basic concepts and includes supplementary exercises to help students firmly mentally anchor concepts. DLC: Differential equations.
Differential Equations With Graphical and Numerical Methods
|
Discrete Math with Proof |
|
This book equips readers to apply discrete mathematics and provides opportunities for practice of the concepts presented. Coverage of algorithms is included. Combinatorics receives more coverage than in other books.
Discrete Math with Proof
|
Elementary Linear Programming With Applications |
|
Linear programming finds the least expensive way to meet given needs with available resources. Its results are used in every area of engineering and commerce; including agriculture, oil refining, banking, and air transport. Authors Kolman and Beck present the basic notions of linear programming and illustrate how they are used to solve important common problems. The software on the included disk leads students step-by-step through the calculations.
Elementary Linear Programming With Applications
|
Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration |
|
The first book to cover data mining from a computational intelligence perspective, Fuzzy Modeling Tools for Data Mining and Knowledge Discovery. focuses on how techniques such as fuzzy rule induction, genetic algorithms, and intelligent agents can help you discern patterns buried deep within your data. Cox begins by examining the nature of knowledge discovery and why a 'fuzzy' approach can be especially effective. From there, he reviews specific fuzzy data mining techniques with an eye to their strengths and weaknesses, providing all the necessary technical background and developing a comprehensive methodology you can follow, step by step, to meet your organization's needs. This is the first book to cover data mining from a computational intelligence viewpoint. Its focus is data mining using a blend of computational intelligence techniques--fuzzy rule induction, genetic algorithms, intelligent agents--to create actual models of the behaviors or patterns buried deep in a wide variety of data sources. Concentrating on real-world problems, the book uses actual cas
Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration
|
Fuzzy Theory Systems, Four-Volume Set |
|
Applications of fuzzy theory (often referred to as 'fuzzy logic') are maturing and multiplying at a phenomenal rate, and a comprehensive treatment of these real-world techniques and applications is now very timely. Unlike traditional computer logic involving clear true or false decisions, a fuzzy logic system chooses what is most true after 'considering' several contributing and possibly conflicting variables. Examples of practical devices using fuzzy computer decision-making are thermostats that respond to a combination of temperature and humidity (comfort factors), an elevator that considers how crowded a car is rather than just its proximity to the desired floor, and a camera that integrates the variables affecting picture quality. These volumes will present a logical progression from implementation and modeling techniques to industrial/commercial applications to fuzzy neural and adaptive fuzzy systems.
Fuzzy Theory Systems, Four-Volume Set
|
GET CERTIFIED AND GET AHEAD |
|
A complete career package, this guide covers 170 computer certifications, including sample tests, a unique spread sheet to help calculate total cost of certification, financial tips, and Web-enhanced updates with up-to-the-minute information.
GET CERTIFIED AND GET AHEAD
|
Numerical Methods: Algorithms and Applications |
|
This book present the fundamental numerical techniques used in engineering, applied mathematics, computer science, and the physical and life sciences in a manner that is both interesting and understandable. 'Numerical Analysis with Applications and Algorithms' includes comprehensive coverage of solving nonlinear equations of a single variable, numerical linear algebra, nonlinear functions of several variables, numerical methods for data interpolations and approximation, numerical differentiation and integration, and numerical techniques for solving differential equations. This book is useful as a reference for self study.
Numerical Methods: Algorithms and Applications
|
Object Lessons: Lessons Learned in Object-Oriented Development Projects |
|
Object Lessons encourages software professionals to build high-quality, innovative software products with less risk by avoiding the mistakes that plague the industry. With the wisdom acquired from over a decade of experience building commercial software products using objects, Love addresses the questions that both technical leaders and managers face as they venture into this important new area of software development. Focusing on fundamental issues and trends as opposed to specific products and services, Love supplies valuable insight into the development and management of large-scale commercial software. Object Lessons will prove to be an indispensable reference guide for all professionals in the field of object-oriented software engineering.
Object Lessons: Lessons Learned in Object-Oriented Development Projects
|
Scientific Computing and Differential Equations |
|
A book that emphasizes the importance of solving differential equations on a computer, which comprises a large part of what has come to be called scientific computing. An introductory chapter on this topic gives an overview of modern scientific computing, outlining its applications and placing the subject in a larger context.
Scientific Computing and Differential Equations
|
