No solution
No solution

Author: Stuart C. Aveyard

Publisher: Manchester University Press

Published: 2016-10-22

Total Pages: 208

ISBN-13: 1526108275

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Utilising a wide range of archival correspondence and diaries, this monograph reconstructs the 1974-79 Labour government's policies in Northern Ireland. It covers the collapse of power-sharing in May 1974, the secret dialogue with the Provisional IRA during the 1975 ceasefire, the acquiescence of Labour ministers in continuing indefinite direct rule from Westminster, efforts to mitigate conflict through industrial investment, a major shift in security policy emphasizing the police over the army, the adaptation of republicans to the threat of these new measures and their own adoption of a 'Long War' strategy. In so doing, it sheds light on the challenges faced by British ministers, civil servants, soldiers and policemen and the reasons why the conflict lasted so long. It will be a key text for researchers and students of both British and Northern Irish politics.

The Nitric Oxide (No) Solution
The Nitric Oxide (No) Solution

Author: Nathan Bryan

Publisher:

Published: 2010-11

Total Pages: 170

ISBN-13: 9780615417134

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Eighty-one million Americans have cardiovascular disease, the arterial damage that leads to the heart attacks and strokes that account for 36 percent of all deaths in the U.S. But few people know that boosting the body's levels of a single molecule of nitric oxide can help prevent, control, and even reverse cardiovascular disease.

Introduction to Analysis
Introduction to Analysis

Author: Maxwell Rosenlicht

Publisher: Courier Corporation

Published: 2012-05-04

Total Pages: 270

ISBN-13: 0486134687

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Written for junior and senior undergraduates, this remarkably clear and accessible treatment covers set theory, the real number system, metric spaces, continuous functions, Riemann integration, multiple integrals, and more. 1968 edition.

Symbolic Integration I
Symbolic Integration I

Author: Manuel Bronstein

Publisher: Springer Science & Business Media

Published: 2005

Total Pages: 368

ISBN-13: 9783540214939

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First edition received rave reviews The second edition offers a new chapter on parallel integration Includes additional exercises

Templates for the Solution of Linear Systems
Templates for the Solution of Linear Systems

Author: Richard Barrett

Publisher: SIAM

Published: 1994-01-01

Total Pages: 141

ISBN-13: 9781611971538

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In this book, which focuses on the use of iterative methods for solving large sparse systems of linear equations, templates are introduced to meet the needs of both the traditional user and the high-performance specialist. Templates, a description of a general algorithm rather than the executable object or source code more commonly found in a conventional software library, offer whatever degree of customization the user may desire. Templates offer three distinct advantages: they are general and reusable; they are not language specific; and they exploit the expertise of both the numerical analyst, who creates a template reflecting in-depth knowledge of a specific numerical technique, and the computational scientist, who then provides "value-added" capability to the general template description, customizing it for specific needs. For each template that is presented, the authors provide: a mathematical description of the flow of algorithm; discussion of convergence and stopping criteria to use in the iteration; suggestions for applying a method to special matrix types; advice for tuning the template; tips on parallel implementations; and hints as to when and why a method is useful.

Topics in Algebra
Topics in Algebra

Author: I. N. Herstein

Publisher: John Wiley & Sons

Published: 1991-01-16

Total Pages: 405

ISBN-13: 0471010901

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New edition includes extensive revisions of the material on finite groups and Galois Theory. New problems added throughout.

Mathematics for Machine Learning
Mathematics for Machine Learning

Author: Marc Peter Deisenroth

Publisher: Cambridge University Press

Published: 2020-04-23

Total Pages: 392

ISBN-13: 1108569323

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The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.

Dissociative States
Dissociative States

Author: Luis Sánchez Planell

Publisher: Springer Science & Business Media

Published: 2000-12-21

Total Pages: 290

ISBN-13: 9788407002254

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Probability
Probability

Author: David J. Morin

Publisher: Createspace Independent Publishing Platform

Published: 2016

Total Pages: 0

ISBN-13: 9781523318674

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Preface -- Combinatorics -- Probability -- Expectation values -- Distributions -- Gaussian approximations -- Correlation and regression -- Appendices.