Solving Single

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This text examines how multiobjective evolutionary algorithms and related techniques can be used to solve problems, particularly in the disciplines of science and engineering. Contributions by leading researchers show how the concept of multiobjective optimization can be used to reformulate and resolve problems in areas such as constrained optimization, co-evolution, classification, inverse modeling, and design.

Transcendental equations arise in every branch of science and engineering. While most of these equations are easy to solve, some are not, and that is where this book serves as the mathematical equivalent of a skydiver's reserve parachute?not always needed, but indispensable when it is. The author?s goal is to teach the art of finding the root of a single algebraic equation or a pair of such equations. Solving Transcendental Equations is unique in that it is the first book to describe the Chebyshev-proxy rootfinder, which is the most reliable way to find all zeros of a smooth function on the interval, and the very reliable spectrally enhanced Weyl bisection/marching triangles method for bivariate rootfinding, and it includes three chapters on analytical methods?explicit solutions, regular pertubation expansions, and singular perturbation series (including hyperasymptotics)?unlike other books that give only numerical algorithms for solving algebraic and transcendental equations. This book is written for specialists in numerical analysis and will also appeal to mathematicians in general. It can be used for introductory and advanced numerical analysis classes, and as a reference for engineers and others working with difficult equations.

This book constitutes the refereed proceedings of the 9th International Conference on Parallel Problem Solving from Nature, PPSN 2006. The book presents 106 revised full papers covering a wide range of topics, from evolutionary computation to swarm intelligence and bio-inspired computing to real-world applications. These are organized in topical sections on theory, new algorithms, applications, multi-objective optimization, evolutionary learning, as well as representations, operators, and empirical evaluation.

Typically, root cause analysis is taught by explaining a variety of tools that require users to gain considerable experience before being able to apply them correctly in the proper settings. What's Your Problem? Identifying and Solving the Five Types of Process Problems simplifies process problem solving and outlines specific techniques to help you identify the various types of process problems and solve them effectively and efficiently. Arguing that there are only five types of process problems, the book explains that the Six Sigma methodology—define, measure, analyze, improve, control (DMAIC)—can be vastly simplified for learning, applying, teaching, and mentoring. It identifies the five types of process problems and describes how to solve them using a three-step procedure: Identify the type of problem Find the root cause Address the root cause Describing how to maximize ROI for Lean Six Sigma initiatives, the book: Facilitates the application of Lean and Six Sigma principles to both self-learning and teaching others process improvement Presents time-tested methods to help you reduce start-to-finish improvement/project times Identifies techniques that can shorten the time it takes to complete projects, reduce documentation of projects, and increase overall understanding of your projects Outlining proven approaches for seamlessly integrating Lean and Six Sigma methodologies with learning and teaching process improvement, the book will help to improve your courses so that participants acquire essential skills quicker and at lower costs. For the self-initiated, this book will get you identifying and solving the two most common process problems within hours, rather than days or weeks.

Maths Action Plans is a series of four books for Years 4-6/P5-7, offering flexible, supportive teacher and pupil resources and coherent coverage of the five strands of the Framework for Teaching Mathematics. The series provides inspiring, flexible activities that can be fitted into any maths scheme. Each title contains: clear learning objectives, linked to the Framework for Teaching Maths, the National Curriculum Programme of Study and the 5-14 National Guidelines for Mathematics; lesson plans with up to three levels of differentiation; supplementary activities for consolidation or linked work; and suggestions for the application of ICT skills.

This two-volume set LNCS 13398 and LNCS 13399 constitutes the refereed proceedings of the 17th International Conference on Parallel Problem Solving from Nature, PPSN 2022, held in Dortmund, Germany, in September 2022. The 87 revised full papers were carefully reviewed and selected from numerous submissions. The conference presents a study of computing methods derived from natural models. Amorphous Computing, Artificial Life, Artificial Ant Systems, Artificial Immune Systems, Artificial Neural Networks, Cellular Automata, Evolutionary Computation, Swarm Computing, Self-Organizing Systems, Chemical Computation, Molecular Computation, Quantum Computation, Machine Learning, and Artificial Intelligence approaches using Natural Computing methods are just some of the topics covered in this field.

Although complex problem solving has emerged as a field of psychology in its own right, the literature is, for the most part, widely scattered, and often so technical that it is inaccessible to non-experts. This unique book provides a comprehensive, in-depth, and accessible introduction to the field of complex problem solving. Chapter authors -- experts in their selected domains -- deliver systematic, thought-provoking analyses generally written from an information-processing point of view. Areas addressed include politics, electronics, and computers.