Название: Задача трех станков
Автор: Шкурба В.В.
Издательство: М.: Наука
Год: 1976
Страниц: 96
Формат: pdf
Размер: 20,8 Мб
Язык: Русский

Задачи и методы, которые были рассмотрены в книге, не столь трудные, сколь просто новые, и следует поначалу привыкнуть к новой терминологии и обозначениям. Однако если вы сделали это, аккуратно и последовательно разобрав задачи и упражнения, уверен — это вам хорошо еще послужит в жизни.

Название: Bayesian Statistics and Marketing, 2nd Edition
Автор: Peter Rossi, Greg Allenby, Sanjog Misra
Издательство: Wiley
Серия: Wiley Series in Probability and Statistics
Год: 2024
Страниц: 402
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Fine-tune your marketing research with this cutting-edge statistical toolkit. Bayesian Statistics and Marketing illustrates the potential for applying a Bayesian approach to some of the most challenging and important problems in marketing. Analyzing household and consumer data, predicting product performance, and custom-targeting campaigns are only a few of the areas in which Bayesian approaches promise revolutionary results. This book provides a comprehensive, accessible overview of this subject essential for any statistically informed marketing researcher or practitioner. Economists and other social scientists will find a comprehensive treatment of many Bayesian methods that are central to the problems in social science more generally. This includes a practical approach to computationally challenging problems in random coefficient models, non-parametrics, and the problems of endogeneity. Discussion of modern statistical software, including an introduction to the R package bayesm, which implements all models incorporated here. Bayesian Statistics and Marketing is ideal for advanced students and researchers in marketing, business, and economics departments, as well as for any statistically savvy marketing practitioner.

Название: A Computer Scientist's Guide to Cell Biology 2nd Edition
Автор: William Cohen, Charles Cohen
Издательство: Springer
Год: 2024
Страниц: 121
Язык: английский
Формат: pdf (true), epub
Размер: 31.2 MB

Unlike the structured world of Computer Science, biology is complex, evolving, and often lacks clean abstract models. This book aims to serve as a guide for computer scientists who need to understand cell biology, breaking the field into three parts: biological mechanics, experimental methods, and language/nomenclature. While biological mechanics, which investigates cellular-level details, is covered by many texts, this book also focuses on experimental methods – how biologists conduct experiments and gather data - and on helping the reader understand the language and terminology of biology, which is rich but challenging for non-biologists. A Computer Scientist's Guide to Cell Biology uses a metaphor of biology as a strange land with an unfamiliar language and customs. The goal of the book is to provide a high-level introduction to cell biology, simplifying concepts and relating them to familiar ideas from Computer Science, so that working computer scientists can more effectively understand read recent research papers and results. This Second Edition contains a number of updates, including discussions of CRISPR, advances in DNA Sequencing, and mRNA vaccines. It serves as an easy-to-read travel guide for computer scientists navigating the intricate and sometimes perplexing terrain of cell biology, offering insights into experimental methods and helping bridge the gap between the structured world of Computer Science and the complexities of biological systems. This book is for the many curious souls who are coming into biology from backgrounds in Computer Science, especially the fields of information retrieval, natural language processing (NLP), and/or Machine Learning. One major difference between biology and Computer Science is that in Computer Science, the world we explore is in large part our own creation, and a large part of what we do is make our creation understandable by finding useful abstractions, and then building more complex things by combining these abstractions together. This book is for the many curious souls who are coming into biology from backgrounds in Computer Science, especially the fields of information retrieval, natural language processing (NLP), and/or Machine Learning.

Название: Статистический анализ экспериментальных данных в пакетах MathCAD и Excel
Автор: Воскобойников Ю. Е.
Издательство: Лань
Год: 2021
Cтраниц: 212
Формат: pdf
Размер: 18 мб
Язык: русский

Учебное пособие содержит изложение методов и алгоритмов математической статистики, решения задач фильтрации, аппроксимации, спектрального и гармонического анализа, возникающих при обработке и анализе экспериментальных данных. Приводятся необходимые теоретические положения и соответствующие расчетные соотношения. Отдельное внимание уделяется реализации этих соотношений в математическом пакете MathCAD и табличном процессоре Excel.

Название: Artificial Intelligence Models for the Dark Universe. Forays in Mathematical Cosmology
Автор: Ariel Fernandez
Издательство: CRC Press
Год выхода: 2025
Страниц: 240
Формат: True PDF
Размер: 26,1 MB
Язык: английский

The dark universe contains matter and energy unidentifiable with current physical models, accounting for 95% of all the matter and energetic equivalent in the universe. The enormous surplus brings up daunting enigmas, such as the cosmological constant problem and the apparent distortions in the dynamics of deep space, and so coming to grips with the invisible universe has become a scientific imperative.

Название: Numerical Methods and Analysis with Mathematical Modelling
Автор: William P. Fox, Richard D. West
Издательство: CRC Press
Год: 2025
Страниц: 424
Язык: английский
Формат: pdf (true)
Размер: 10.3 MB

What sets Numerical Methods and Analysis with Mathematical Modelling apart are the modelling aspects utilizing numerical analysis (methods) to obtain solutions. The authors cover first the basic numerical analysis methods with simple examples to illustrate the techniques and discuss possible errors. The modelling prospective reveals the practical relevance of the numerical methods in context to real-world problems. At the core of this text are the real-world modelling projects. Chapters are introduced and techniques are discussed with common examples. A modelling scenario is introduced that will be solved with these techniques later in the chapter. Often, the modelling problems require more than one previously covered technique presented in the book. Fundamental exercises to practice the techniques are included. Multiple modelling scenarios per numerical methods illustrate the applications of the techniques introduced. Each chapter has several modelling examples that are solved by the methods described within the chapter. The use of technology is instrumental in numerical analysis and numerical methods. In this text, Maple, Excel, R, and Python are illustrated. The goal is not to teach technology but to illustrate its power and limitations to perform algorithms and reach conclusions. This book fulfills a need in the education of all students who plan to use technology to solve problems whether using physical models or true creative mathematical modeling, like discrete dynamical systems.

Название: Descriptive Statistics for Scientists and Engineers: Applications in R, Second Edition
Автор: Rajan Chattamvelli, Ramalingam Shanmugam
Издательство: Springer
Год: 2023
Страниц: 142
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

This book introduces descriptive statistics and covers a broad range of topics of interest to students and researchers in various applied science disciplines. This includes measures of location, spread, skewness, and kurtosis; absolute and relative measures; and classification of spread, skewness, and kurtosis measures, L-moment based measures, van Zwet ordering of kurtosis, and multivariate kurtosis. Several novel topics are discussed including the recursive algorithm for sample variance; simplification of complicated summation expressions; updating formulas for sample geometric, harmonic and weighted means; divide-and-conquer algorithms for sample variance and covariance; L-skewness; spectral kurtosis, etc. A large number of exercises are included in each chapter that are drawn from various engineering fields along with examples that are illustrated using the R programming language. Basic concepts are introduced before moving on to computational aspects. Some applicationsin bioinformatics, finance, metallurgy, pharmacokinetics (PK), solid mechanics, and signal processing are briefly discussed. Every analyst who works with numeric data will find the discussion very illuminating and easy to follow. The widespread use of digital computers and the availability of statistical software like SAS, SPSS, BMDP and so on gave an impetus to statistical computations. Statistical programming languages like R, S, MATLAB, MAPLE, etc. allowed data analysis in exceptional detail. Statistics is a branch of scientific discipline that deals with the systematic collection, tabulation, summarization, classification, analysis and modeling of data, extracting summary information from numeric data, and drawing potentially useful conclusions from past or observed data, or verifying experimental hypotheses.

Название: Фундаментальные основы дискретной математики. Информационная математика
Автор: Горбатов В. А.
Издательство: М.: Наука. Физмалит
Год: 2000
Cтраниц: 544
Формат: pdf
Размер: 13 мб
Язык: русский

В учебнике излагаются основы многосортных множеств, математической логики, теории графов и мографов, теории формальных грамматик и автоматов, прикладной теории алгоритмов и характеризационного анализа, которые в совокупности образуют основы дискретной математики, представляющие собой методически взаимосвязанный курс "Компьютерно-информационная математика".

Название: Книга звука. Научная одиссея в страну акустических чудес
Автор: Кокс Тревор
Издательство: М.: КоЛибри
Год: 2018
Cтраниц: 352
Формат: pdf
Размер: 13 мб
Язык: русский

Тревор Кокс охотится за звуковыми чудесами нашей планеты и наслаждается источниками экзотических звуков – скрипящими ледниками, шепчущими галереями, сталактитовыми орга нами, музыкальными дорогами, неземными голосами бородатых тюленей и пирамидой майя, чирикающей, словно птица.

Название: Computational Studies: From Molecules to Materials
Автор: Ambrish Kumar Srivastava (Editor)
Издательство: CRC Press
Год выхода: 2025
Страниц: 293
Формат: True PDF
Размер: 20,1 MB
Язык: английский

The book covers a diverse range of topics based on computational studies, including modeling and simulations based on quantum chemical studies and molecular dynamics (MD) simulations. It contains quantum chemical studies on several molecules, including biologically relevant molecules and liquid crystals and various aspects of superatomic clusters including superalkalis and superhalogens. It gives an overview of MD simulations and their applications on biomolecular systems such as HIV-1 protease and integrase.