الصفحة 1
الصفحة 1
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Numerical Methods Using Java : For Data Science, Analysis, and Engineering

Covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis. The mathematical concepts behind the algorithms are clearly explained, with plenty of code examples and illustrations to help even beginners get started. You will: Program in Java using a high-performance numerical library / Learn the mathematics for a wide range of numerical computing algorithms / Convert ideas and equations into code / Put together algorithms/ and classes to build your own engineering solution / Build solvers for industrial optimization problems / Do data analysis using basic and advanced statistics

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Nonlinear Optimization with Engineering Applications

This textbook examines a broad range of problems in science and engineering, describing key numerical methods applied to real life. The case studies presented are in such areas as data fitting, vehicle route planning and optimal control, scheduling and resource allocation, sensitivity calculations and worst-case analysis.

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Nexus Network Journal 9,1 : Architecture and Mathematics

This issue is dedicated to various kinds of patterns in architecture. Buthayna Eilouti and Amer Al-Jokhadar address patterns in shape grammars in the ground plans of Mamluk madrasas, religious schools. Giulio Magli goes back further in history, to the age of Greek colonies in Italy before they were conquered by the Romans, to examine patterns in urban design. In Traditional Patterns in Pyrgi of Chios: Mathematics and Community Charoula Stathopoulou examines the geometric patterns that decorate the buildings of the town of Pyrgi, on the Greek island of Chios. Curve Fitting is a study of ways to construct a function so that its graph most closely approximates the pattern given by a set of points.

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MSC Maximal Stress Cooperation

In 1996 my book ‘The Nature of Cultures’ appeared in Vi- na and New York. It describes cultures as systems which are controlled by MSC and decorum. While MSC is a neologism meaning ‘maximal stress cooperation’ decorum is a very old term. It is as old as Western culture itself, and is furthermore, the translation of the even older Greek word ‘prepon’. Decorum and prepon mean ‘to be suitable, to be fitting’. It is all about the fitting of cultural medial contents to elementary cultural behavioural types and behavioural phases. These behavioural units are subject to a type of ranking system in which that which is essential is sorted from that which less essential. - corum then means – the representations of the media must ‘fit’ the ranking of the cultural behaviour. It is MSC which assumes the top position in this ranking. In 1996 and the two previous years when I was working on my book ‘The Nature of Cultures’ less than 5 years had passed since the Iron Curtain had been lifted. Many believed at that time that with ending of the Cold War, which was more or less de facto peace anyway, that a new and better age of peace was dawning.

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Models for Discrete Longitudinal Data

This book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject to incompleteness. The authors consider a variety of extensions, such as models for multivariate longitudinal measurements, random-effects models with serial correlation, and mixed models with non-Gaussian random effects. They sketch the general principles for how to deal with the commonly encountered issue of incomplete longitudinal data. The authors critique frequently used methods and propose flexible and broadly valid methods instead, and conclude with key concepts of sensitivity analysis. The book shows how the different approaches can be implemented within the SAS software package. The text is organized so the reader can skip the software-oriented chapters and sections without breaking the logical flow.

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Microalgae Building Enclosures : Design and Engineering Principles

Aims to provide design, engineering, and biotechnical guidelines for microalgae building enclosures that need to be considered for symbiotic relations among the built environment, humans, and ecosystems. Introduces the theoretical background of microalgae as a bioremediator and future energy system and their potential roles toward sustainable and healthy built environments. Part II exemplifies interventions and multiple benefits of microalgae systems in product, architecture, urban, and infrastructure applications across the globe including Africa, Asia, Australia, Europe, South America, and North America. Part III explains the design and engineering criteria, biotechnical design requirements, and various performance metrics for microalgae architecture. Finally, Part IV investigates potential building applications in low-rise buildings, high-rise buildings, and energy-efficient retrofitting. The book also includes international case studies of microalgae building systems within various building types and climates.

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Introductory Statistics with R

R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use for teaching at many levels as well as for practical data analysis and methodological development. This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. A supplementary R package can be downloaded and contains the data sets.

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Interiors Construction Manual : Integrated Planning, Finishings and Fitting-Out, Technical Services

Supports planners in their daily work as a practical planning aid and reference work with the relevant standards, guidelines, reference details, and constructional solutions, all illustrated by built example projects. It brings together the crucial facts on all aspects of interior construction and presents the key fundamentals of building physics, fire protection, interior construction systems, and openings. In addition, it offers concrete tips on integrated planning approaches, energy and sustainability issues, materials used in interior construction, hazardous substances, and dealing with building services and light planning.

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Heavy-Tail Phenomena : Probabilistic and Statistical Modeling

This comprehensive text gives an interesting and useful blend of the mathematical, probabilistic and statistical tools used in heavy-tail analysis. Heavy tails are characteristic of phenomena where there is a significant probability of a single huge value impacting system behavior. Record-breaking insurance losses, financial returns, sizes of files stored on a server, transmission rates of files are all examples of heavy-tailed phenomena.

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Handbook of Data Visualization

This new volume in the series Springer Handbooks of Computational Statistics gives an overview of modern data visualization methods, both in theory and practice. There are definitive chapters on modern graphical tools such as mosaic plots, parallel coordinate plots and linked views. There are chapters dedicated to graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well as chapters on software for graphics.

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Guide to Deep Learning Basics : Logical, Historical and Philosophical Perspectives

This stimulating text/reference presents a philosophical exploration of the conceptual foundations of deep learning, presenting enlightening perspectives that encompass such diverse disciplines as computer science, mathematics, logic, psychology, and cognitive science. The text also highlights select topics from the fascinating history of this exciting field, including the pioneering work of Rudolf Carnap, Warren McCulloch, Walter Pitts, Bulcsú László, and Geoffrey Hinton.

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Functional Data Analysis

This monograph presents many ideas and techniques for such data. Included are expressions in the functional domain of such classics as linear regression, principal components analysis, linear modeling, and canonical correlation analysis, as well as specifically functional techniques such as curve registration and principal differential analysis. Data arising in real applications are used throughout for both motivation and illustration, showing how functional approaches allow us to see new things, especially by exploiting the smoothness of the processes generating the data. The data sets exemplify the wide scope of functional data analysis; they are drawn from growth analysis, meteorology, biomechanics, equine science, economics, and medicine.The book presents novel statistical technology, much of it based on the authors’ own research work, while keeping the mathematical level widely accessible.

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From Energetics to Ecosystems : the Dynamics and Structure of Ecological Systems

Ecosystems are complex and enigmatic entities that are ultimately our life support systems. Understanding these systems to the point of being able to predict their behaviour in the face of perturbations requires that researchers adopt a number of strategies that vary in both approach and scale. This book, in a sense, is representative of some of the developments that have unfolded when math and physics met ecology. Here, some of the world’s leading ecologists examine ecosystems from theoretical, experimental, and empirical viewpoints, from energetics to ecosystems. The book begins with simplifying and synthesizing nature’s complex relationships. It then moves on to explore the mapping between food web structure and function and ends with the role of theory in integrating different research areas. From the breadth of systems analyzed to the rigor of approaches taken, this book is not only a useful resource for students and researchers in ecology, but also serves as a fitting tribute to the life and work of Peter Yodzis.

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Fibonacci’s de practica geometrie = Fibonacci’s practice geometry

Practical Geometry is the name of the craft for medieval landmeasurers, otherwise known as surveyors in modern times. Fibonacci wrote De practica geometrie for these artisans, a fitting complement to Liber abbaci. He had been at work on the geometry project for some time when a friend encouraged him to complete the task, which he did, going beyond the merely practical, as he remarked, "Some parts are presented according to geometric demonstrations, other parts in dimensions after a lay fashion, with which they wish to engage according to the more common practice."

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Fashion Figures : How Missy the Mathlete Made the Cut

Gain an inside perspective on what it’s like when you love math and science and happen to be a girl. Fashion Figures highlights the societal and internal pressures preteen and early-teen girls often face when they excel in these subjects, and it shows strategies for overcoming barriers to being themselves and doing what they love while still fitting in socially.

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Estimation in Conditionally Heteroscedastic Time Series Models

ARCH (autoregressive conditionally heteroscedastic), is well-suited for the description of economic and financial price. Nowadays ARCH has been replaced by more general and more sophisticated models, such as GARCH (generalized autoregressive heteroscedastic). This monograph concentrates on mathematical statistical problems associated with fitting conditionally heteroscedastic time series models to data. This includes the classical statistical issues of consistency and limiting distribution of estimators. Particular attention is addressed to (quasi) maximum likelihood estimation and misspecified models, along to phenomena due to heavy-tailed innovations. The used methods are based on techniques applied to the analysis of stochastic recurrence equations. Proofs and arguments are given wherever possible in full mathematical rigour. Moreover, the theory is illustrated by examples and simulation studies.

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Enhancing urban environment by environmental upgrading and restoration ; Proceedings of the NATO Advanced Research Workshop on enhancing urban environment : environmental upgrading of municipal pollution control facilities and restoration of urban waters, Rome, Italy from 6 - 9 November 2003.

As urban areas keep growing, water infrastructure ages, and the requirements on environmental protection become more rigorous, there is a continual need for upgrading water pollution control facilities and restoring degraded urban waters. Such issues are addressed in this book by focusing on five major topics: (a) Upgrading stormwater management facilities, (b) Retrofitting / upgrading combined sewer overflow (CSO) facilities, (c) Optimising/upgrading sewage treatment plant performance, (d) Urban stream restoration, and (e) Challenges in restoring urban environment. Each chapter contains some overview papers followed by research or case study papers. Besides presentations of new approaches and accomplishments in the field of upgrading and restoration, several papers provide analysis of vast needs in this field in several countries of Central and Eastern Europe, which either recently joined the European Union (EU) or are preparing for accession, and need to comply with the existing EU directives dealing with environmental protection. As such, this book will be of primary interest to researchers and university lecturers dealing with environmental upgrading and restoration, environmental planners from all levels of government, municipal engineers and politicians, and finally the private industry representatives (consultants, private utilities and environmental technology suppliers) searching for new business opportunities among the new or aspiring members of EU.

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Dynamic characterisation of analogue-to-digital converters

Dynamic Characterisation of Analogue-to-Digital Converters presents a state of the art overview of the methods and procedures employed for characterising ADCs’ dynamic performance behaviour using sinusoidal stimuli. The three classical methods – histogram, sine wave fitting, and spectral analysis – are thoroughly described, and new approaches are proposed to circumvent some of their limitations

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Data Analysis Using the Method of Least Squares : Extracting the Most Information from Experiments

The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full power of the method is overlooked and very few books deal with this subject at the level that it deserves. The purpose of Data Analysis Using the Methods of Least Squares is to fill this gap and include the type of information required to help scientists and engineers apply the method to problems in their special fields of interest.Linear and non-linear least squares, the use of experimental error estimates for data weighting, procedures to include prior estimates, methodology for selecting and testing models, prediction analysis, and some non-parametric methods are discussed.

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Cost-effective energy efficient building retrofitting : Materials, technologies, optimization and case studies

The building sector is responsible for high energy consumption and its global demand is expected to grow as each day there are approximately 200,000 new inhabitants on planet Earth. The majority of electric energy will continue to be generated from the combustion of fossil fuels releasing not only carbon dioxide, but also methane and nitrous oxide. Energy efficiency measures are therefore crucial to reduce greenhouse gas emissions of the building sector. Energy efficient building retrofitting needs to not only be technically feasible, but also economically viable. New building materials and advanced technologies already exist, but the knowledge to integrate all active components is still scarce and far from being widespread among building industry stakeholders.

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