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Analysis Patterns

Analysis Patterns
Author: Martin Fowler
Publisher: Addison-Wesley Professional
Total Pages: 398
Release: 1997
Genre: Object-oriented methods (Computer science).
ISBN: 9780201895421

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Martin Fowler is a consultant specializing in object-oriented analysis and design. This book presents and discusses a number of object models derived from various problem domains. All patterns and models presented have been derived from the author's own consulting work and are based on real business cases.


The Way of Analysis

The Way of Analysis
Author: Robert S. Strichartz
Publisher: Jones & Bartlett Learning
Total Pages: 764
Release: 2000
Genre: Computers
ISBN: 9780763714970

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The Way of Analysis gives a thorough account of real analysis in one or several variables, from the construction of the real number system to an introduction of the Lebesgue integral. The text provides proofs of all main results, as well as motivations, examples, applications, exercises, and formal chapter summaries. Additionally, there are three chapters on application of analysis, ordinary differential equations, Fourier series, and curves and surfaces to show how the techniques of analysis are used in concrete settings.


Python for Data Analysis

Python for Data Analysis
Author: Wes McKinney
Publisher: "O'Reilly Media, Inc."
Total Pages: 676
Release: 2017-09-25
Genre: Computers
ISBN: 1491957611

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Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples


Bayesian Data Analysis

Bayesian Data Analysis
Author: Andrew Gelman
Publisher: CRC Press
Total Pages: 663
Release: 2013-11-27
Genre: Mathematics
ISBN: 1439898200

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Winner of the 2016 De Groot Prize from the International Society for Bayesian AnalysisNow in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied


Analysis

Analysis
Author: Terence Tao
Publisher: Hindustan Book Agency and Indian National Science Academy
Total Pages: 0
Release: 2009
Genre: Mathematical analysis
ISBN: 9788185931944

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Suitable for undergraduates who have already been exposed to calculus, this title includes material that starts at the very beginning - the construction of number systems and set theory, then goes on to the basics of analysis, through to power series, several variable calculus and Fourier analysis, and finally to the Lebesgue integral.


Introduction to Static Analysis

Introduction to Static Analysis
Author: Xavier Rival
Publisher: MIT Press
Total Pages: 315
Release: 2020-02-11
Genre: Computers
ISBN: 0262043416

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A self-contained introduction to abstract interpretation–based static analysis, an essential resource for students, developers, and users. Static program analysis, or static analysis, aims to discover semantic properties of programs without running them. It plays an important role in all phases of development, including verification of specifications and programs, the synthesis of optimized code, and the refactoring and maintenance of software applications. This book offers a self-contained introduction to static analysis, covering the basics of both theoretical foundations and practical considerations in the use of static analysis tools. By offering a quick and comprehensive introduction for nonspecialists, the book fills a notable gap in the literature, which until now has consisted largely of scientific articles on advanced topics. The text covers the mathematical foundations of static analysis, including semantics, semantic abstraction, and computation of program invariants; more advanced notions and techniques, including techniques for enhancing the cost-accuracy balance of analysis and abstractions for advanced programming features and answering a wide range of semantic questions; and techniques for implementing and using static analysis tools. It begins with background information and an intuitive and informal introduction to the main static analysis principles and techniques. It then formalizes the scientific foundations of program analysis techniques, considers practical aspects of implementation, and presents more advanced applications. The book can be used as a textbook in advanced undergraduate and graduate courses in static analysis and program verification, and as a reference for users, developers, and experts.


Understanding Analysis

Understanding Analysis
Author: Stephen Abbott
Publisher: Springer Science & Business Media
Total Pages: 269
Release: 2012-12-06
Genre: Mathematics
ISBN: 0387215069

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This elementary presentation exposes readers to both the process of rigor and the rewards inherent in taking an axiomatic approach to the study of functions of a real variable. The aim is to challenge and improve mathematical intuition rather than to verify it. The philosophy of this book is to focus attention on questions which give analysis its inherent fascination. Each chapter begins with the discussion of some motivating examples and concludes with a series of questions.


Root Cause Analysis

Root Cause Analysis
Author: Duke Okes
Publisher: Quality Press
Total Pages: 211
Release: 2019-02-06
Genre: Business & Economics
ISBN: 195105850X

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This best-seller can help anyone whose role is to try to find specific causes for failures. It provides detailed steps for solving problems, focusing more heavily on the analytical process involved in finding the actual causes of problems. It does this using figures, diagrams, and tools useful for helping to make our thinking visible. This increases our ability to see what is truly significant and to better identify errors in our thinking. In the sections on finding root causes, this second edition now includes: more examples on the use of multi-vari charts; how thought experiments can help guide data interpretation; how to enhance the value of the data collection process; cautions for analyzing data; and what to do if one can’t find the causes. In its guidance on solution identification, biomimicry and TRIZ have been added as potential solution identification techniques. In addition, the appendices have been revised to include: an expanded breakdown of the 7 M’s, which includes more than 50 specific possible causes; forms for tracking causes and solutions, which can help maintain alignment of actions; techniques for how to enhance the interview process; and example responses to problem situations that the reader can analyze for appropriateness.


Spend Analysis

Spend Analysis
Author: Kirit Pandit
Publisher: J. Ross Publishing
Total Pages: 273
Release: 2008-02-15
Genre: Business & Economics
ISBN: 1932159932

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Spend analysis is a key component of strategic supply management. This book provides in-depth guidance on what spend analysis really is, what it specifically involves, and how to use it to help your organization achieve its full potential.


Mathematical Analysis

Mathematical Analysis
Author: Andrew Browder
Publisher: Springer Science & Business Media
Total Pages: 348
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461207150

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Among the traditional purposes of such an introductory course is the training of a student in the conventions of pure mathematics: acquiring a feeling for what is considered a proof, and supplying literate written arguments to support mathematical propositions. To this extent, more than one proof is included for a theorem - where this is considered beneficial - so as to stimulate the students' reasoning for alternate approaches and ideas. The second half of this book, and consequently the second semester, covers differentiation and integration, as well as the connection between these concepts, as displayed in the general theorem of Stokes. Also included are some beautiful applications of this theory, such as Brouwer's fixed point theorem, and the Dirichlet principle for harmonic functions. Throughout, reference is made to earlier sections, so as to reinforce the main ideas by repetition. Unique in its applications to some topics not usually covered at this level.