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An Introduction to Parallel Programming is the first undergraduate text to directly address compiling & running parallel programs on the new multi-core & cluster architecture It explains how to design debug & evaluate the performance of distributed & shared-memory programs The author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI Pthreads & Open MP starting with small programming examples & building progressively to more challenging ones The text is written for students in undergraduate parallel programming or parallel computing courses designed for the computer science major or as a service course to other departments; professionals with no background in parallel computing ...
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The second edition of this popular textbook builds on the strengths of the first continuing its reputation for clarity accessibility conceptual sophistication & panoramic coverage of personality & intelligence The authorship team is enriched by the addition of two high-profile international scholars Luke Smillie & John Song whose expertise broadens & deepens the text New to this edition Chapters exploring the neurobiological genetic & evolutionary foundations of personality; & emotion motivation & personality processes An enhanced coverage of personality disorders A thoroughly revised & extended section on intelligence which now addresses cognitive abilities & their biological bases; the role of intelligence in everyday life; & emotional intelligence A brand new companion website that

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a substantial test bank & lecture slides An Introduction to Personality Individual Differences & Intelligence Second Edition is a key textbook for all psychology students on a personality or individual differences course

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This concise accessible introduction to quantum computing is aimed at advanced undergraduate & beginning graduate students from a variety of scientific backgrounds The text is technically detailed & clearly illustrated throughout with diagrams & exercises 288 pages numerous line drawings Kaye Phillip (Institute for Quantum Computing University of Waterloo Ontario Canada) ...
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In an age of big data data journalism & with a wealth of quantitative information around us it is not enough for students to be taught only 100 year old statistical methods using 'out of the box' software They need to have 21st-century analytical skills too This is an excellent & student-friendly text from two of the world leaders in the teaching & development of spatial analysis It shows clearly why the open source software R is not just an alternative to commercial GIS it may actually be the better choice for mapping analysis & for replicable research Providing practical tips as well as fully working code this is a practical 'how to' guide ideal for undergraduates as well as those using R for the first time It will be required reading on my own courses- Richard Harris Professor of Quantitative Social Science University of Bristol R is a powerful open source computing tool that supports geographical analysis & mapping for the many geography & non-geography' students & researchers interested in spatial analysis & mapping This book provides an introduction to the use of R for spatial statistical analysis geocomputation & the analysis of geographical information for researchers collecting & using data with location attached largely through increased GPS functionality Brunsdon & Comber take readers from zero to hero' in spatial analysis & mapping through functions they have developed & compiled into R packages This enables practical R applications in GIS spatial analyses spatial statistics mapping & web-scraping Each chapter
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Covers a broad range of subjects that undergraduates in the discipline should be familiar & comfortable with upon graduation From chapters on the scientific method & fundamental research concepts to experimental design sampling & statistical analysis the text offers an excellent introduction to the key concepts of geographical research The content is applicable for students at the beginning of their studies right through to planning & conducting dissertations The book has also been of particular support in designing my level 1 & 2 tutorials which cover similar ground to several of the chapters- Joseph Mallalieu School of Geography Leeds University Montello & Sutton is one of the best texts I've used in seminars on research methodology The text offers a clear balance of quantitative vs qualitative & physical vs human which I've found particularly valuable The chapters on research ethics scientific communication information technologies & data visualization are excellent
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Fully updated & revised the third edition of this popular textbook continues to introduce students to what anthropology is what anthropologists do how & what they contribute & how even a limited knowledge of anthropology can help people succeed in today's world 392 pages 91 Illustrations black & white; 392 p 91 illus Hendry Joy ...
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An Introduction To Quantitative Finance

The worlds of Wall Street and The City have always held a certain allure but in recent years have left an indelible mark on the wider public consciousness and there has been a need to become more financially literate The quantitative nature of complex financial transactions makes them a fascinating subject area for mathematicians of all types whether for general interest or because of the enormous monetary rewards on offer An Introduction to Quantitative Finance concerns financial derivatives - a derivative being a contract between two entities whose value derives from the price of an underlying financial asset - and the probabilistic tools that were developed to analyse them The theory in the text is motivated by a desire to provide a suitably rigorous yet accessible foundation to tackle
problems the author encountered whilst trading derivatives on Wall Street The book combines an unusual blend of real-world derivatives trading experience and rigorous academic background Probability provides the key tools for analysing and valuing derivatives The price of a derivative is closely linked to the expected value of its pay-out and suitably scaled derivative prices are martingales fundamentally important objects in probability theory The prerequisite for mastering the material is an introductory undergraduate course in probability The book is otherwise self-contained and in particular requires no additional preparation or exposure to finance It is suitable for a one-semester course quickly exposing readers to powerful theory and substantive problems The book may also appeal to
students who have enjoyed probability and have a desire to see how it can be applied Signposts are given throughout the text to more advanced topics and to different approaches for those looking to take the subject further
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The worlds of Wall Street & The City have always held a certain allure but in recent years have left an indelible mark on the wider public consciousness & there has been a need to become more financially literate The quantitative nature of complex financial transactions makes them a fascinating subject area for mathematicians of all types whether for general interest or because of the enormous monetary rewards on offer An Introduction to Quantitative Finance concerns financial derivatives
- a derivative being a contract between two entities whose value derives from the price of an underlying financial asset
- & the probabilistic tools that were developed to analyse them The theory in the text is motivated by a desire to provide a suitably rigorous yet accessible foundation to tackle problems the author encountered whilst trading derivatives on Wall Street The book combines an unusual blend of real-world derivatives trading experience & rigorous academic background Probability provides the key tools for analysing & valuing derivatives The price of a derivative is closely linked to the expected value of its pay-out & suitably scaled derivative prices are martingales fundamentally important objects in probability theory The prerequisite for mastering the material is an introductory undergraduate course in probability The book is otherwise self-contained & in particular requires no additional preparation or exposure to finance It is suitable for a one-semester course quickly exposing readers to powerful theory & substantive problems The book may also appeal to students who have enjoyed probability & have a desire to see how it can be applied Signposts are given throughout the text to more advanced topics & to different approaches for those looking to take the subject further

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