The Intuitive Algorithm
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Author | : Wan Fokkink |
Publisher | : MIT Press |
Total Pages | : 242 |
Release | : 2013-12-06 |
Genre | : Computers |
ISBN | : 0262026775 |
A comprehensive guide to distributed algorithms that emphasizes examples and exercises rather than mathematical argumentation.
Author | : Abraham Thomas |
Publisher | : |
Total Pages | : 200 |
Release | : 1991 |
Genre | : Psychology |
ISBN | : |
Author | : Bruce Torff |
Publisher | : Routledge |
Total Pages | : 316 |
Release | : 2001-01-01 |
Genre | : Education |
ISBN | : 1135673837 |
The intuitive mind is a powerful force in the classroom and often an undetected one. Intuitive conceptions--knowledge or knowledge-structures that individuals acquire and use largely without conscious reflection or explicit instruction--sometimes work to facilitate learning in the classroom and other contexts. But learning may also be impeded by intuitive conceptions, and they can be difficult to dislodge as needed. The literatures in psychology and education include a large and diverse body of theory and research on intuitive conceptions, but this work is limited in some respects. This volume contributes in four ways to overcome these limitations. Understanding and Teaching the Intuitive Mind: Student and Teacher Learning: * pulls together diverse theoretical and methodological approaches to the origin, structure, function, and development of intuitive conceptions; * explores a diversity of academic disciplines--paying equal attention not only to mathematics and science, the fields in which intuitive concepts have been studied most extensively, but also to the social sciences, arts, and humanities; * explicitly links theory and research to educational implications and classroom applications; and * focuses not only on students' intuitive conceptions but also on teachers' intuitive beliefs about learning and teaching. Although the viewpoints of the contributors are diverse, they share the belief that educational practices have much to gain by systematic studies of the intuitive learner and teacher. This volume offers state-of-the-art, research-based information and support for psychologists, teacher educators, educational administrators, teachers, prospective teachers, and others who seek to develop educational practices that are cognizant of (and responsive to) the intuitive conceptions of students and teachers.
Author | : Kenneth Lange |
Publisher | : SIAM |
Total Pages | : 227 |
Release | : 2020-05-04 |
Genre | : Mathematics |
ISBN | : 1611976170 |
Algorithms are a dominant force in modern culture, and every indication is that they will become more pervasive, not less. The best algorithms are undergirded by beautiful mathematics. This text cuts across discipline boundaries to highlight some of the most famous and successful algorithms. Readers are exposed to the principles behind these examples and guided in assembling complex algorithms from simpler building blocks. Written in clear, instructive language within the constraints of mathematical rigor, Algorithms from THE BOOK includes a large number of classroom-tested exercises at the end of each chapter. The appendices cover background material often omitted from undergraduate courses. Most of the algorithm descriptions are accompanied by Julia code, an ideal language for scientific computing. This code is immediately available for experimentation. Algorithms from THE BOOK is aimed at first-year graduate and advanced undergraduate students. It will also serve as a convenient reference for professionals throughout the mathematical sciences, physical sciences, engineering, and the quantitative sectors of the biological and social sciences.
Author | : Wan Fokkink |
Publisher | : MIT Press |
Total Pages | : 242 |
Release | : 2013-12-06 |
Genre | : Computers |
ISBN | : 0262318954 |
A comprehensive guide to distributed algorithms that emphasizes examples and exercises rather than mathematical argumentation. This book offers students and researchers a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models. It avoids mathematical argumentation, often a stumbling block for students, teaching algorithmic thought rather than proofs and logic. This approach allows the student to learn a large number of algorithms within a relatively short span of time. Algorithms are explained through brief, informal descriptions, illuminating examples, and practical exercises. The examples and exercises allow readers to understand algorithms intuitively and from different perspectives. Proof sketches, arguing the correctness of an algorithm or explaining the idea behind fundamental results, are also included. An appendix offers pseudocode descriptions of many algorithms. Distributed algorithms are performed by a collection of computers that send messages to each other or by multiple software threads that use the same shared memory. The algorithms presented in the book are for the most part “classics,” selected because they shed light on the algorithmic design of distributed systems or on key issues in distributed computing and concurrent programming. Distributed Algorithms can be used in courses for upper-level undergraduates or graduate students in computer science, or as a reference for researchers in the field.
Author | : Jeff Erickson |
Publisher | : |
Total Pages | : 472 |
Release | : 2019-06-13 |
Genre | : |
ISBN | : 9781792644832 |
Algorithms are the lifeblood of computer science. They are the machines that proofs build and the music that programs play. Their history is as old as mathematics itself. This textbook is a wide-ranging, idiosyncratic treatise on the design and analysis of algorithms, covering several fundamental techniques, with an emphasis on intuition and the problem-solving process. The book includes important classical examples, hundreds of battle-tested exercises, far too many historical digressions, and exaclty four typos. Jeff Erickson is a computer science professor at the University of Illinois, Urbana-Champaign; this book is based on algorithms classes he has taught there since 1998.
Author | : Jason Brownlee |
Publisher | : Machine Learning Mastery |
Total Pages | : 162 |
Release | : 2016-03-04 |
Genre | : Computers |
ISBN | : |
You must understand the algorithms to get good (and be recognized as being good) at machine learning. In this Ebook, finally cut through the math and learn exactly how machine learning algorithms work, then implement them from scratch, step-by-step.
Author | : Clifford A. Shaffer |
Publisher | : |
Total Pages | : 536 |
Release | : 2001 |
Genre | : Computers |
ISBN | : |
This practical text contains fairly "traditional" coverage of data structures with a clear and complete use of algorithm analysis, and some emphasis on file processing techniques as relevant to modern programmers. It fully integrates OO programming with these topics, as part of the detailed presentation of OO programming itself.Chapter topics include lists, stacks, and queues; binary and general trees; graphs; file processing and external sorting; searching; indexing; and limits to computation.For programmers who need a good reference on data structures.
Author | : Valmir C. Barbosa |
Publisher | : MIT Press |
Total Pages | : 390 |
Release | : 1996 |
Genre | : Computers |
ISBN | : 9780262024129 |
An Introduction to Distributed Algorithms takes up some of the main concepts and algorithms, ranging from basic to advanced techniques and applications, that underlie the programming of distributed-memory systems such as computer networks, networks of work-stations, and multiprocessors. Written from the broad perspective of distributed-memory systems in general it includes topics such as algorithms for maximum flow, programme debugging, and simulation that do not appear in more orthodox texts on distributed algorithms.
Author | : John Paul Mueller |
Publisher | : John Wiley & Sons |
Total Pages | : 434 |
Release | : 2017-04-24 |
Genre | : Computers |
ISBN | : 1119330491 |
Discover how algorithms shape and impact our digital world All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see—based on our likes, dislikes, queries, views, interests, relationships, and more—online. They are, in a sense, the electronic gatekeepers to our digital, as well as our physical, world. This book demystifies the subject of algorithms so you can understand how important they are business and scientific decision making. Algorithms for Dummies is a clear and concise primer for everyday people who are interested in algorithms and how they impact our digital lives. Based on the fact that we already live in a world where algorithms are behind most of the technology we use, this book offers eye-opening information on the pervasiveness and importance of this mathematical science—how it plays out in our everyday digestion of news and entertainment, as well as in its influence on our social interactions and consumerism. Readers even learn how to program an algorithm using Python! Become well-versed in the major areas comprising algorithms Examine the incredible history behind algorithms Get familiar with real-world applications of problem-solving procedures Experience hands-on development of an algorithm from start to finish with Python If you have a nagging curiosity about why an ad for that hammock you checked out on Amazon is appearing on your Facebook page, you'll find Algorithm for Dummies to be an enlightening introduction to this integral realm of math, science, and business.