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Название: OpenIntro Statistics. Second Edition
Автор: Various
Издательство: Autoedici?n
Год: 2014
Формат: pdf
Страниц: 426
Размер: 8.8 mb.
Язык: English

The chapters of this book are as follows:

Introduction to data. Data structures, variables, summaries, graphics, and basic data collection techniques.
Probability (special topic). The basic principles of probability. An understanding of this chapter is not required for the main content in Chapters 3-8.
Distributions of random variables. Introduction to the normal model and other key distributions.
Foundations for inference. General ideas for statistical inference in the context of estimating the population mean.
Inference for numerical data. Inference for one or two sample means using the normal model and t distribution, and also comparisons of many means using ANOVA.
Inference for categorical data. Inference for proportions using the normal and chisquare distributions, as well as simulation and randomization techniques.
Introduction to linear regression. An introduction to regression with two variables.
Multiple and logistic regression. An introduction to multiple regression and logistic regression for an accelerated course.
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Название: Models of Computation
Автор: John E. Savage
Издательство: Brown University
Год: 2012
Формат: pdf
Страниц: 698
Размер: 4 mb.
Язык: English

Theoretical computer science treats any computational subject for which a good model can be created. Research on formal models of computation was initiated in the 1930s and 1940s by Turing, Post, Kleene, Church, and others. In the 1950s and 1960s programming languages, language translators, and operating systems were under development and therefore became both the subject and basis for a great deal of theoretical work. The power of computers of this period was limited by slow processors and small amounts of memory, and thus theories (models, algorithms, and analysis) were developed to explore the efficient use of computers as well as the inherent complexity of problems. The former subject is known today as algorithms and data structures, the latter computational complexity.
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Название: Lecture Notes on Static Analysis
Автор: Michael I. Schwartzbach
Издательство: University of Aarhus
Год: 2015
Формат: pdf
Страниц: 58
Размер: 0.3 mb.
Язык: English

These notes present principles and applications of static analysis of programs. We cover type analysis, lattice theory, control flow graphs, dataflow analysis, fixed-point algorithms, narrowing and widening, interprocedural analysis, control flow analysis, and pointer analysis.
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Название: Lecture Notes in Machine Learning
Автор: Zdravko Markov
Издательство: Autoedici?n
Год: 2013
Формат: pdf
Страниц: 65
Размер: 0.3 mb.
Язык: English

Any change in a system that al lows it to perform better the second time o n repet ition of the same t ask or on anot her task drawn from the same population.
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Название: Introduction to Design & Analysis of Algorithms - In Simple Way
Автор: K. Raghava Rao
Издательство: K L University
Год: 2015
Формат: pdf
Страниц: 142
Размер: 3.9 mb.
Язык: English

This book provides a complete information to the modern study of computer algorithms. It presents many algorithms and covers every concept in a considerable depth, so that it can be understand by all levels of readers. Each and every concept is explained by a suitable examples.
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Название: Introduction to Computational Physics and Monte Carlo Simulations of Matrix Field Theory
Автор: Badis Ydri
Издательство: Annaba University
Год: 2015
Формат: pdf
Страниц: 350
Размер: 6.4 mb.
Язык: English

This book is divided into two parts. In the first part we give an elementary introduction to computational physics consisting of 21 simulations which originated from a formal course of lectures and laboratory simulations delivered since 2010 to physics students at Annaba University. The second part is much more advanced and deals with the problem of how to set up working Monte Carlo simulations of matrix field theories which involve finite dimensional matrix regularizations of noncommutative and fuzzy field theories, fuzzy spaces and matrix geometry. The study of matrix field theory in its own right has also become very important to the proper understanding of all noncommutative, fuzzy and matrix phenomena. The second part, which consists of 9 simulations, was delivered informally to doctoral students who are working on various problems in matrix field theory.
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Название: Data Structures
Автор: VVAA
Издательство: Autoedici?n
Год: 2015
Формат: pdf
Страниц: 427
Размер: 4.8 mb.
Язык: English

In computer science, a data structure is a particular way of organizing data in a computer so that it can be used efficiently. Data structures can implement one or more particular abstract data types, which are the means of specifying the contract of operations and their complexity. In comparison, a data structure is a concrete implementation of the contract provided by an ADT.
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Название: Curves and Surfaces In Geometric Modeling: Theory And Algorithms
Автор: Jean Gallier
Издательство: University of Pennsylvania
Год: 2013
Формат: pdf
Страниц: 502
Размер: 2,4 mb.
Язык: English

This book is primarily an introduction to geometric concepts and tools needed for solving problems of a geometric nature with a computer. Our main goal is to provide an introduction to the mathematical concepts needed in tackling problems arising notably in computer graphics, geometric modeling, computer vision, and motion planning, just to mention some key areas. Many problems in the above areas require some geometric knowledge, but in our opinion, books dealing with the relevant geometric material are either too theoretical, or else rather specialized and application-oriented. This book is an attempt to fill this gap. We present a coherent view of geometric methods applicable to many engineering problems at a level that can be understood by a senior undergraduate with a good math background.
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Название: Computer Systems
Автор: Daniel J. Taipala
Издательство: University of the People
Год: 2013
Формат: pdf
Страниц: 172
Размер: 2,3 mb.
Язык: English

This book has been developed as a companion text to the University of the People course CS1104 Computer Systems. The University of the People is an accredited online university that offers programs in business administration and computer science. The university is unique in that it has no tuition, is tuition free, non-profit, and serves students from around the world.
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Название: Artificial and Computational Intelligence in Games: Integration
Автор: Various
Издательство: Autoedici?n
Год: 2015
Формат: pdf
Страниц: 36
Размер: 1,2 mb.
Язык: English

This report documents Dagstuhl Seminar 15051 “Artificial and Computational Intelligence in Games: Integration”. The focus of the seminar was on the computational techniques used to create, enhance, and improve the experiences of humans interacting with and within virtual environments. Different researchers in this field have different goals, including developing and testing new AI methods, creating interesting and believable non-player characters, improving the game production pipeline, studying game design through computational means, and understanding players and patterns of interaction.