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Assembly Line Design: The Balancing of Mixed-Model Hybrid Assembly Lines with Genetic Algorithms (Springer Series in Advanced Manufacturing)
Assembly Line Design: The Balancing of Mixed-Model Hybrid Assembly Lines with Genetic Algorithms (Springer Series in Advanced Manufacturing)

Efficient assembly line design is a problem of considerable industrial importance. Assembly Line Design will be bought by technical personnel working in design, planning and production departments in industry as well as managers in industry who want to learn more about concurrent engineering. This book will also be purchased...

A Beginner's Guide to R (Use R!)
A Beginner's Guide to R (Use R!)

Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum.

...
MATLAB® and Design Recipes for Earth Sciences: How to Collect, Process and Present Geoscientific Information
MATLAB® and Design Recipes for Earth Sciences: How to Collect, Process and Present Geoscientific Information

The overall aim of the book is to introduce students to the typical course followed by a data analysis project in earth sciences. A project usually involves searching relevant literature, reviewing and ranking published books and journal articles, extracting relevant information from the literature in the form of text, data, or...

Introduction to Evolutionary Algorithms (Decision Engineering)
Introduction to Evolutionary Algorithms (Decision Engineering)
Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms....
Data Mining: Concepts, Methods and Applications in Management and Engineering Design (Decision Engineering)
Data Mining: Concepts, Methods and Applications in Management and Engineering Design (Decision Engineering)
Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems.

Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects
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Numerical Solution of Partial Differential Equations: Theory, Algorithms, and Their Applications: In Honor of Professor Raytcho Lazarov's 40 Years of ... Proceedings in Mathematics & Statistics)
Numerical Solution of Partial Differential Equations: Theory, Algorithms, and Their Applications: In Honor of Professor Raytcho Lazarov's 40 Years of ... Proceedings in Mathematics & Statistics)

One of the current main challenges in the area of scientific computing? is the design and implementation of accurate numerical models for complex physical systems which are described by time dependent coupled systems of nonlinear PDEs. This volume integrates the works of experts in computational...

Data Mining: A Knowledge Discovery Approach
Data Mining: A Knowledge Discovery Approach
“If you torture the data long enough, Nature will confess,” said 1991 Nobel-winning economist Ronald Coase. The statement is still true. However, achieving this lofty goal is not easy. First, “long enough” may, in practice, be “too long” in many applications and thus unacceptable. Second,...
Exploring Abstract Algebra With Mathematica®
Exploring Abstract Algebra With Mathematica®
This upper-division laboratory supplement for courses in abstract algebra consists of several Mathematica packages programmed as a foundation for group and ring theory. Additionally, the "user's guide" illustrates the functionality of the underlying code, while the lab portion of the book reflects the contents of the...
The Power of Algorithms: Inspiration and Examples in Everyday Life
The Power of Algorithms: Inspiration and Examples in Everyday Life

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 algorithmic principles, the power, precision, reliability and speed of execution demanded by users have transformed the design and...

Recent Advances in Computer Science and Information Engineering: Volume 2 (Lecture Notes in Electrical Engineering)
Recent Advances in Computer Science and Information Engineering: Volume 2 (Lecture Notes in Electrical Engineering)

CSIE 2011 is an international scientific Congress for distinguished scholars engaged in scientific, engineering and technological research, dedicated to build a platform for exploring and discussing the future of Computer Science and Information Engineering with existing and potential application scenarios. The congress has been held...

Mathematical Summary for Digital Signal Processing Applications with Matlab
Mathematical Summary for Digital Signal Processing Applications with Matlab

Mathematical summary for Digital Signal Processing Applications with Matlab consists of Mathematics which is not usually dealt in the DSP core subject, but used in DSP applications. Matlab programs with illustrations are given for the selective topics such as generation of Multivariate Gaussian distributed sample outcomes, Bacterial...

Sparsity: Graphs, Structures, and Algorithms (Algorithms and Combinatorics)
Sparsity: Graphs, Structures, and Algorithms (Algorithms and Combinatorics)
This book offers a systematic study of sparse graphs and sparse finite structures. Although the notion of sparsity appears in various contexts and is typical of a fuzzy notion, the authors present a unifying classification of general classes of structures....
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