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Probabilistic Programming for Procedural Modeling and Design
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Название: Probabilistic Programming for Procedural Modeling and Design
Автор: Daniel Ritchie
Издательство: Standford University
Год: 2016
Формат: pdf
Страниц: 152
Размер: 43 mb.
Язык: English

Procedural modeling, or the use of pseudo-random programs to generate visual content, plays an important role in computer graphics and design. It facilitates content creation at massive scales, can automatically create painstakingly-detailed imagery, and can even generate pleasantly surprising results that can help people to navigate large and unintuitive design spaces


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Parallel Cryptanalysis
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Название: Parallel Cryptanalysis
Автор: Ruben Niederhagen
Издательство: Autoedici?n
Год: 2012
Формат: pdf
Страниц: 125
Размер: 0,8 mb.
Язык: English

Most of today’s cryptographic primitives are based on computations that are hard to perform for a potential attacker but easy to perform for somebody who is in possession of some secret information, the key, that opens a back door in these hard computations and allows them to be solved in a small amount of time. Each cryptographic primitive should be designed such that the cost of an attack grows exponentially with the problem size, while the computations using the secret key only grow polynomially. To estimate the strength of a cryptographic primitive it is important to know how hard it is to perform the computation without knowledge of the secret back door and to get an understanding of how much money or time the attacker has to spend. Usually a cryptographic primitive allows the cryptographer to choose parameters that make an attack harder at the cost of making the computations using the secret key harder as well. Therefore designing a cryptographic primitive imposes the dilemma of choosing the parameters strong enough to resist an attack up to a certain cost while choosing them small enough to allow usage of the primitive in the real world, e.g. on small computing devices like smart phones.


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Multiobjective Analysis and Inference of Phylogenetic Hypotheses by Means of Parallel and Bioinspired Computing
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Название: Multiobjective Analysis and Inference of Phylogenetic Hypotheses by Means of Parallel and Bioinspired Computing
Автор: Sergio Santander Jim?nez
Издательство: Universidad de Extremadura
Год: 2015
Формат: pdf
Страниц: 271
Размер: 10,3 mb.
Язык: English

One of the most outstanding research topics in the field of bioinformatics is the reconstruction of evolutionary relationships among species. By studying the molecular features of living organisms, phylogenetic inference procedures seek to provide hypotheses about the evolutionary events which led to the current biodiversity in nature. The result of a phylogenetic analysis is given by a treeshaped data structure known as phylogenetic tree, whose topology describes the evolutionary history of the input species by defining ancestor-descendant relationships. The biological quality of the inferred phylogenies is usually evaluated by means of optimality criteria, which allow the modelling of phylogenetic inference as an optimization problem.


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Labs for Foundations of Applied Mathematics Volume III: Modeling with Uncertainty and Data
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Название: Labs for Foundations of Applied Mathematics Volume III: Modeling with Uncertainty and Data
Автор: Various
Издательство: Autoedici?n
Год: 2016
Формат: pdf
Страниц: 239
Размер: 2,1 mb.
Язык: English

This lab manual is designed to accompany the textbook Foundations of Applied Mathematics by Humpherys and Jarvis.

Contents:

SQL
Intro to pandas
State Machines
Web Scraping
Web Technologies
Introduction to Parallel Programming
Collective Communication in Parallel Programs
MongoDB
Principal Component Analysis
Latent Semantic Indexing
Kalman Filter
Projectile Tracking
HMM State Estimation
English Language
HMM Parameter Estimation
Russian Alphabet
CDHMM Generation
Speech Recognition
Bayesian Updates
Bayesian Search
Metropolis Algorithm
Ising Model
Gibbs Sampling
Latent Dirichlet Allocation
K-Means Clustering
Gaussian Mixture Models
Crime Mapping
Classification Trees
Random Forests
K-Nearest Neighbors and Support Vector Machines
Image Recognition Tasks


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science
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Название: From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science
Автор: Norm Matloff
Издательство: University of California
Год: 2016
Формат: pdf
Страниц: 409
Размер: 2,07 mb.
Язык: English

The materials here form a textbook for a course in mathematical probability and statistics for computer science students. (It would work fine for general students too.)


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Data-Intensive Text Processing with MapReduce
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Название: Data-Intensive Text Processing with MapReduce
Автор: Jimmy Lin , Chris Dyer
Издательство: Morgan & Claypool Publishers
Год: 2010
Формат: pdf
Страниц: 175
Размер: 1,3 mb.
Язык: English

Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers.


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Computer Science III
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Название: Computer Science III
Автор: Dr. Chris Bourke
Издательство: University of Nebraska–Lincoln
Год: 2016
Формат: pdf
Страниц: 244
Размер: 1,07 mb.
Язык: English

Computers are awesome. The human race has seen more advancements in the last 50 years than in the entire 10,000 years of human history. Technology has transformed the way we live our daily lives, how we interact with each other, and has changed the course of our history. Today, everyone carries smart phones which have more computational power than supercomputers from 20 years ago. Computing has become ubiquitous, the “internet of things” will soon become a reality in which every device will become interconnected and data will be collected and available even about the smallest of minutiae.


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A Brief Introduction to Neural Networks
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Название: A Brief Introduction to Neural Networks
Автор: David Kriesel
Издательство: Autoedici?n
Год: 2012
Формат: pdf
Страниц: 244
Размер: 5,6 mb.
Язык: English

"Originally, this work has been prepared in the framework of a seminar of the University of Bonn in Germany, but it has been and will be extended. First and foremost, to provide a comprehensive overview of the subject of neural networks and, second, just to acquire more and more knowledge about LATEX . And who knows – maybe one day this summary will become a real preface!"


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Big CPU, Big Data
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Название: Big CPU, Big Data
Автор: Alan Kaminsky
Издательство: Autoedici?n
Год: 2015
Формат: pdf
Страниц: 424
Размер: 11 mb.
Язык: English

To study parallel programming with this book, you’ll need the following prerequisite knowledge: Java programming; C programming (for GPU programs); computer organization concepts (CPU, memory, cache, and so on); operating system concepts (threads, thread synchronization).


Категория: КНИГИ » ПРОГРАММИРОВАНИЕ
Algorithmics and Optimization
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Название: Algorithmics and Optimization
Автор: Andreas de Vries
Издательство: University of Applied Sciences of Hagen
Год: 2015
Формат: pdf
Страниц: 123
Размер: 1,24 mb.
Язык: English

Why mathematics in a book about algorithmics? Algorithms are, in essence, applied mathematics. Even if they deal with apparently “unmathematical” subjects such as manipulating strings or searching objects, mathematics is the basis. To mention just a few examples: the classical algorithmic concept of recursion is very closely related to the principle of mathematical induction; rigorous proofs are needed for establishing the correctness of given algorithms; running times have to be computed.