Optimal Dating Algorithms

Computational experiments on algorithms can supplement theoretical analysis by showing what algorithms, implementations and speed-up methods work best for specific machines or problems. This book guides the reader through the nuts and bolts of the major experimental questions: What should I measure? What inputs should I test? How do I analyze the data? To answer these questions the book draws on ideas from algorithm design and analysis, computer systems, and statistics and data analysis. The wide-ranging discussion includes a tutorial on system clocks and CPU timers, a survey of strategies for tuning algorithms and data structures, a cookbook of methods for generating random combinatorial inputs, and a demonstration of variance reduction techniques. The book can be used by anyone who has taken a course or two in data structures and algorithms. A companion website, AlgLab (www.cs.amherst.edu/alglab) contains downloadable files, programs and tools for use in experimental projects.

4 lation and optimization. These are essential constituents of the iterative process, leading to a feasible and, one hopes, optimal design. 1.3 Content of the Book In Chapter 2 we present briefly the

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Combinatorial Scientific Computing explores the latest research on creating algorithms and software tools to solve key combinatorial problems on large-scale high-performance computing architectures. I

Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new algo

This new book explains the Productivity Measurement and Enhancement system (ProMES) and how it meets the criteria for an optimal measurement and feedback system. It summarizes all the research that ha

This new book explains the Productivity Measurement and Enhancement system (ProMES) and how it meets the criteria for an optimal measurement and feedback system. It summarizes all the research that ha

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Hwang (National Chiao-Tung U., Taiwan) and Rothblum (Technion, Israel) have collected all theoretical material on the optimal partitioning of data, developed a framework to unify and organize the resu

Covering some of the key areas of optimal control theory (OCT), a rapidly expanding field, the authors use new methods to set out a version of OCT’s more refined?‘maximum principle.’ The results obtai

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Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal d

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Extremum-seeking control tracks a varying maximum or minimum in a performance function such as output or cost. It attempts to determine the optimal performance of a control system as it operates, ther

This book is a snapshot of current research in multiscale modeling, computations and applications. It covers fundamental mathematical theory, numerical algorithms as well as practical computational ad

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"The key question this book addresses is how to identify and create optimal conditions for the kind of learning and development that is especially important for effectively functioning in the 21st cen

Researchers in education and psychology show how learning outcomes are shaped by the way learning is organized or designed in a fundamental way. They explore how to create the optimal learning conditi

In striving for optimal comfort and safety conditions in road vehicles, today’s electronically controlled components provide a range of new options. These are developed and tested using computer

Includes MATLAB-based computational and design algorithms utilizing the "Linear Systems Toolkit."All results and case studies presented in both the continuous- and discrete-time settings.

Polyhedral functions provide a model for an important class of problems that includes both linear programming and applications in data analysis. General methods for minimizing such functions using the polyhedral geometry explicitly are developed. Such methods approach a minimum by moving from extreme point to extreme point along descending edges and are described generically as simplicial. The best-known member of this class is the simplex method of linear programming, but simplicial methods have found important applications in discrete approximation and statistics. The general approach considered in this text, first published in 2001, has permitted the development of finite algorithms for the rank regression problem. The key ideas are those of developing a general format for specifying the polyhedral function and the application of this to derive multiplier conditions to characterize optimality. Also considered is the application of the general approach to the development of active se

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One of the "Best Books of 2011" from the Center for Optimal Adult DevelopmentThe fields of adult development and the study of learning have traditionally been considered separate, with development fal

With the increasing complexity and dynamism in today’s product design and manufacturing, more optimal, robust and practical approaches and systems are needed to support product design and manufacturin

A comprehensive reference for researchers in machine learning, data mining, and computer vision, this book presents in-depth, systematic discussions on algorithms and applications for dimensionality r

A candid, insightful & amusing guide to internet dating for the mature women. If you are even thinking about internet dating this book is a must read! Follow me on a journey that will leave you

Decision tree is a widely used form of representing algorithms and knowledge. Compact data models and fast algorithms require optimization of tree complexity. This book is a research monograph on aver

Most textbooks on modern heuristics provide the reader with detailed descriptions of the functionality of single examples like genetic algorithms, genetic programming, tabu search, simulated annealing

A hands-on guide to assist in the planning and execution of synthetic reactions in the laboratoryDespite the maturity of organic chemistry, it can still be very challenging to identify optimal methods

A guide to the most delicious ways to meet key dietary requirements during pregnancy. Superfoods for Pregnancy is a comprehensive reference to the foods that provide the optimal nutrients for moth

Medical-Surgical Nursing Made Incredibly Easy! Third Edition provides nurses and nursing students with the information they need to confidently provide optimal patient care. Written in the award-winni

The aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field is currently developing rapidly with contributions from many disciplines including

The equations discussed in this volume are used to investigate evolution, optimal control, and other situations that display uncertainty, ambiguity, and incompleteness of information. For researchers,

Computational Intelligence (CI) community has developed hundreds of algorithms for intelligent data analysis, but still many hard problems in computer vision, signal processing or text and multimedia

This book presents state-of-the-art research on architectures, algorithms, protocols and applications in pervasive computing and networksWith the widespread availability of wireless and mobile network

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This brand-new, profusely illustrated fitness manual presents a graded six-week exercise program designed to produce optimal body flexibility and fitness. Readers are introduced to a wide range of dyn