The Art of Problem Solving, Volume 1

The Art of Problem Solving, Volume 1
Title The Art of Problem Solving, Volume 1 PDF eBook
Author Sandor Lehoczky
Publisher Mitchell Beazley
Pages 0
Release 2006
Genre Mathematics
ISBN 9780977304561

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" ... offer[s] a challenging exploration of problem solving mathematics and preparation for programs such as MATHCOUNTS and the American Mathematics Competition."--Back cover




The Art of Problem Solving: pt. 2 And beyond solutions manual

The Art of Problem Solving: pt. 2 And beyond solutions manual
Title The Art of Problem Solving: pt. 2 And beyond solutions manual PDF eBook
Author Sandor Lehoczky
Publisher Mitchell Beazley
Pages 0
Release 2006
Genre Mathematics
ISBN 9780977304592

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" ... offer[s] a challenging exploration of problem solving mathematics and preparation for programs such as MATHCOUNTS and the American Mathematics Competition."--Back cover




Introduction to Algebra

Introduction to Algebra
Title Introduction to Algebra PDF eBook
Author Richard Rusczyk
Publisher
Pages 0
Release 2009
Genre Algebra
ISBN 9781934124147

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The Art and Craft of Problem Solving

The Art and Craft of Problem Solving
Title The Art and Craft of Problem Solving PDF eBook
Author Paul Zeitz
Publisher John Wiley & Sons
Pages 389
Release 2017
Genre Problem solving
ISBN 1119239907

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This text on mathematical problem solving provides a comprehensive outline of "problemsolving-ology," concentrating on strategy and tactics. It discusses a number of standard mathematical subjects such as combinatorics and calculus from a problem solver's perspective.




Problem-Solving Strategies

Problem-Solving Strategies
Title Problem-Solving Strategies PDF eBook
Author Arthur Engel
Publisher Springer Science & Business Media
Pages 404
Release 2008-01-19
Genre Mathematics
ISBN 0387226419

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A unique collection of competition problems from over twenty major national and international mathematical competitions for high school students. Written for trainers and participants of contests of all levels up to the highest level, this will appeal to high school teachers conducting a mathematics club who need a range of simple to complex problems and to those instructors wishing to pose a "problem of the week", thus bringing a creative atmosphere into the classrooms. Equally, this is a must-have for individuals interested in solving difficult and challenging problems. Each chapter starts with typical examples illustrating the central concepts and is followed by a number of carefully selected problems and their solutions. Most of the solutions are complete, but some merely point to the road leading to the final solution. In addition to being a valuable resource of mathematical problems and solution strategies, this is the most complete training book on the market.




Problem Solving 101

Problem Solving 101
Title Problem Solving 101 PDF eBook
Author Ken Watanabe
Publisher Penguin
Pages 130
Release 2009-03-05
Genre Business & Economics
ISBN 1101029188

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The fun and simple problem-solving guide that took Japan by storm Ken Watanabe originally wrote Problem Solving 101 for Japanese schoolchildren. His goal was to help shift the focus in Japanese education from memorization to critical thinking, by adapting some of the techniques he had learned as an elite McKinsey consultant. He was amazed to discover that adults were hungry for his fun and easy guide to problem solving and decision making. The book became a surprise Japanese bestseller, with more than 370,000 in print after six months. Now American businesspeople can also use it to master some powerful skills. Watanabe uses sample scenarios to illustrate his techniques, which include logic trees and matrixes. A rock band figures out how to drive up concert attendance. An aspiring animator budgets for a new computer purchase. Students decide which high school they will attend. Illustrated with diagrams and quirky drawings, the book is simple enough for a middleschooler to understand but sophisticated enough for business leaders to apply to their most challenging problems.




Deep Learning

Deep Learning
Title Deep Learning PDF eBook
Author Ian Goodfellow
Publisher MIT Press
Pages 801
Release 2016-11-10
Genre Computers
ISBN 0262337371

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An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.