MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. Programming MATLAB for Numerical Analysis introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. You will first become familiar with the MATLAB environment, and then you will begin to harness the power of MATLAB. You will learn the MATLAB language, starting with an introduction to variables, and how to manipulate numbers, vectors, matrices, arrays and character strings. You will learn about MATLAB’s high-precision capabilities, and how you can use MATLAB to solve problems, making use of arithmetic, relational and logical operators in combination with the common functions and operations of real and complex analysis and linear algebra. You will learn to implement various numerical methods for optimization, interpolation and solving non-linear equations. You will discover how MATLAB can solve problems in differential and integral calculus, both numerically and symbolically, including techniques for solving ordinary and partial differential equations, and how to graph the solutions in brilliant high resolution. You will then expand your knowledge of the MATLAB language by learning how to use commands which enable you to investigate the convergence of sequences and series, and explore continuity and other analytical features of functions in one and several variables.
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Optimization Techniques introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. It begins by introducing the MATLAB environment and the structure of MATLAB programming before moving on to the mathematics of optimization. The central part of the book is dedicated to MATLAB’s Optimization Toolbox, which implements state-of-the-art algorithms for solving multiobjective problems, non-linear minimization with boundary conditions and restrictions, minimax optimization, semi-infinitely constrained minimization and linear and quadratic programming. A wide range of exercises and examples are included, illustrating the most widely used optimization methods.
It was mid-December 1610 in Mexico City. The Church was in its preparatory season of Advent, leading up to the celebration of Christ's birth at Christmas. The nuns of the Encarnacion convent had just celebrated the feast of the Immaculate Conception of the Virgin Mary, on 8 December. But now, in this time usually filled with joy, some of the nuns were nervous. Their choirbooks were missing. Without them, the nuns would not be able to celebrate the anniversary of Christ's birth adequately. A musician priest of the metropolitan cathedral, located just three blocks from the convent, had caused the nuns' alarm: Antonio Rodríguez Mata (d. 1643) had all five of the missing books. He had borrowed them from Sister Flor de Santa Clara, the convent "vicaria de coro" (choir vicar) but had failed to return them despite the convent's repeated requests. The diocesan vicar general and the attorney general were summoned. The nuns of the Encarnación demanded that Mata be imprisoned if he failed to return the books immediately following the denunciation. The threat of jail time was serious, but so too was the alleged offense: Mata was impeding the nuns from performing their liturgical music for Christmas"--
Hijacked to Havana! brings the reader back to 1969 when air piracy was a daily risk to all airline travelers. A young Cuban exile and his American wife find themselves aboard a plane hijacked to Havana. Can the young Cuban thwart the hijack? Carlos, the main character, is fearful of returning to his native land because of his previous involvement with Castro's revolutionary forces. Aboard the plane are a Navy SEAL and an elderly Hungarian freedom fighter who offers their help upon learning of the young exile's predicament. Unexpected twists add excitement to the drama aboard the hijacked airliner.
The first major collection of writings by civil rights leader Cesar Chavez One of the most important civil rights leaders in American history, Cesar Chavez was a firm believer in the principles of nonviolence, and he effectively employed peaceful tactics to further his cause. Through his efforts, he helped achieve dignity, fair wages, benefits, and humane working conditions for hundreds of thousands of farm workers. This extensive collection of Chavez's speeches and writings chronicles his progression and development as a leader, and includes previously unpublished material. From speeches to spread the word of the Delano Grape Strike to testimony before the House of Representatives about the hazards of pesticides, Chavez communicated in clear, direct language and motivated people everywhere with an unflagging commitment to his ideals. For more than seventy years, Penguin has been the leading publisher of classic literature in the English-speaking world. With more than 1,700 titles, Penguin Classics represents a global bookshelf of the best works throughout history and across genres and disciplines. Readers trust the series to provide authoritative texts enhanced by introductions and notes by distinguished scholars and contemporary authors, as well as up-to-date translations by award-winning translators.
R is a programming language and environment for statistical and graphical analysis. It is a free software project widely used by the statistical community. R implements a multitude of commands and functions to work in the statistical field. Specifically, this book delves into the work with R in Descriptive Statistics. It incorporates the functions for initial data treatment, exploratory data analysis, statistical graphs, quantitative expression of distributions, measures of centralization, measures of dispersion and shape, correlation, covariance, linear regression model, logistic regression, probit model, and other topics of descriptive statistics. The chapters begin with brief methodological notes and incorporate a variety of examples and exercises solved with the R software.
The data panels are a special type of samples in which the behavior of a certain number of economic agents is followed over time. In this way, the researcher can perform economic analysis and specify models with the data of cross section that are obtained when all operators are considered in an instant of time. Different patterns of behaviour of all agents together studied in the different temporal moments may thus be assessed. Alternatively, you can perform the same analysis considering time series given by the evolution of each economic agent throughout all the periods of the sample. This book explores the panel data econometrics through STATA. The most important topics are the following: Linear regression estimators in panel data models, fixed and random effects, heteroskedasticity and autocorrelation in panel data models, instrumental variables and two stage least squares in panel data models, dynamic panel data models, logit and probit panel data models, censored panel data models, count panel data models, Tobit panel data models, Poisson panel data models, negative binomial panel data models and others models with panel data.".
R is a program focused primarily on statistical data analysis. This book deals with the most important facets of data analysis applied with R, including exploratory data analysis, descriptive statistics, graphs, regression models, generalized linear models, analysis of variance models, dimension reduction techniques, principal components, factor analysis, cluster analysis and other topics of multivariate data analysis
Big Data Analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today's technology, it's possible to analyze your data and get answers from it almost immediately - an effort that's slower and less efficient with more traditional business intelligence solutions. Deep learning (also known as deep structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set of algorithms that attempt to model high level abstractions in data. Various deep learning architectures such as deep neural networks, convolutional deep neural networks, deep belief networks and recurrent neural networks have been applied to fields like computer vision, automatic speech recognition, natural language processing, audio recognition and bioinformatics where they have been shown to produce state-of-the-art results on various tasks.Deep learning has been characterized as a buzzword, or a rebranding of neural networks. This book deeps in big data and deep learning techniques
En este libro se desarrollarán técnicas de aprendizaje supervisado relativas a regresión. Más concretamente, se profundizará en los modelos lineales de regresión múltiple con toda su problemática de identificación, estimación y diagnosis. Se hace especial hincapié en el tratamiento de la multicolinealidad a través de la Ridge Regression (regresión en cadena) y el método PLS de los mínimos cuadrados parciales. Se dedica una parcela importante del contenido a los modelos de variable dependiente limitada y recuento, con especial mención a los modelos Logit y Probit. Por último se tratan también los modelos predictivos del análisis de la varianza y la covarianza.
Predictive analytics encompasses a variety of statistical techniques from predictive modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future or otherwise unknown events. Different work fields with neural networks and predictive analytics techniques are listed below: The multilayer perceptron (MLP), A radial basis function (RBF), Support vector machines (SVM), Fit regression models with neural networks, Time series neural networks, Hopfield and linear neural networks, Generalized regression and LVQ neural networks, Adaptative linear filters and non linear problems
El poder popular para generar un cambio en sus condiciones social está limitado por su capacidad para separar le verdad de la mentira; pero la tradición religiosa nubla de mitos el entendimiento social, enajenándolo y haciéndolo ingenuo. El presente Tratado señala al Cristianismo como el producto más refinado de ese instrumento institucionalizado del Estado para la dominación ideológica Social, que induciendo ignorancia y temor entre la población, la mantiene en un estado permanente de letargo y en actitud sumisa y dependiente; para entonces manipularla y explotarle con solvencia. Denuncia a una institución responsable de grandes crímenes; y advierte sobre el irreparable daño histórico que el dogma está probando en las formas de convivencia de la sociedad occidental, encausándola hacia una decadencia irreversible. Desentraña las causas objetivas de la religiosidad humana y Revela las trampas psicológicas mediante las que le dogma Cristiano controla y dirige la mente social; proveyendo al lector las armas que le permitirán neutralizar su efecto y alcanzar la emancipación. Entonces exhorta a reconocer que ante la injusticia social debemos -dejando de depender de una connotación divina y de la voluntad de las autoridades sociales-, asumir una participación social activa, madura y responsable.
Beginning with a review of the Argintine-USSR relationship up to 1970, Aldo Vacs describes and analyzes economic, diplomatic, and military developments, as well as their impact on Argentine society and politics, since the early 1970s. Vacs views each country's objectives, and the extent and limits of their shared interests.
The breadth of Peru's culture from pre-Columbian times to today is surveyed in this one-stop reference. Modern Peru emerges as an ethnically divided nation progressing toward social integration of its heavily Indian and Hispanic population. Ferreira and Dargent, native Peruvians, illustrate how the diverse geography of the country—the Andes, coast, and jungle—has also had a role in shaping cultural and social expression, from history to art. Further exploring the influence of Spanish colonialism and its modern blending with Indian traditions, this volume covers the legacy of the Incas and Machu Picchu, providing an authoritative overview of how the citizenry and major cultural venues, such as the church, media, and arts, have evolved. A chronology and glossary supplement the text.
Growth in sub-Saharan Africa has slightly recovered in 2019 (2.6 percent) from 2.5 percent in 2018. Economic recovery continues at a sluggish pace with growth in the region expected to pick up to 3 .1 percent in 2020 and 3 .2 percent in 2021. Accelerating poverty reduction in Africa requires action in four policy areas: fertility reduction, leveraging the food system on and off the farm, addressing risk and conflict, and providing more public financing to the poverty reduction agenda. Sustaining growth and eradicating poverty calls for policy solutions to empower African women in the following dimensions: building the right skills, relieving capital constraints, securing land rights, connecting women to labor, addressing social norms that limit women's economic opportunities, and boosting the capacity of the next generation.
While Latin America accounts for approximately 7 percent of the world economy, easily accessible information on the economies of the region is not always easy to find. The existing literature on Latin American economics usually assumes some previous familiarity with the region and is focused on government policy choices. The Economies of Latin America is a book for the general reader needing a quick introduction to the economics of the region. The book is composed of three parts: the first explains Latin America’s economic history and a description of the central economic challenges of the region. The second offers country-specific details. The final part deals with the economic future of the region where the authors put forth a Latin American version of success. This book is a useful, in-depth introduction for students of Latin American economics as well as the general reader.
Is democracy done? Historian Dr. Cesar Vidal explores the expressions and failures of democracy throughout history, and the current threats to its existence around the globe in A Changing World. Vidal, author of over 180 books and possessing Ph.Ds. in history, philosophy, law, and theology, connects the dots between the collapse of national sovereignty and global warming, illegal immigration, gender ideology, national debt, and a globalist agenda. A Changing World details in five parts— a history of democracy, its threats, and options for the future, explaining the following: The foundations of modern democracy and the preponderant role of the Reformation in vital notions such as the supremacy of the law, limited power, and the separation of powers. Similarly, the author explores how these concepts took root in America and gave rise to the emergence of the United States, distinguishing this nation from European countries. The risks facing democracy and how these dangers arose. Starting from an analysis of contemporary philosophical ideologies, he moves on to the emergence of interventionist States, from the origin of Marxism, the imposition and fall of communism, and the rise of fascism in Europe. The threat of the globalist agenda, its main promoters—from Soros to Pope Francis—as well as the dogmas that compose it: global warming, gender ideology, population reduction, and the defense of illegal immigration, all issues that severely affect contemporary society. The evolution of Europe and the emergence of the European Union as the end of independent nations. He then addresses the case of Latin America and the roots of its constant economic and governmental crises. He analyzes the current situations of Venezuela, Chile, and Colombia and why they matter. The final part deals with the emerging resistance to the globalist agenda, manifested in the patriotic and democratic movements in the European Union, South America, and particularly in the United States with the rise of Donald Trump to power. Vidal uses a chapter to focus on Russian history, from tsarism to Putin, and then looks at China and its resurgence, with an appendix on the Middle East. “Far from democracy and freedom being almost naturally imposed realities, both are more threatened than ever. This threat is not only external but also, to a large extent, internal. A Changing World is an attempt to explain what democracy is and its fragility as well as what the globalist agenda is—a colossal threat to the continuity of democracy itself,” says the author about his new book.
Heavy crude oils and bitumen represent more than 50% of all hydrocarbons available on the planet. These feedstocks have a low amount of distillable material and high level of contaminants that make their production, transportation, and refining difficult and costly by conventional technologies. Subsurface Upgrading of Heavy Crude Oils and Bitumen is of interest to the petroleum industry mainly because of the advantages compared to aboveground counterparts. The author presents an in-depth account and a critical review of the progress of industry and academia in underground or In-Situ upgrading of heavy, extra-heavy oils and bitumen, as reported in the patent and open literature. This work is aimed to be a standalone monograph, so three chapters are dedicated to the composition of petroleum and fundamentals of crude oil production and refining. Key Features: Offers a multidisciplinary scope that will appeal to chemists, geologists, biologists, chemical engineers, and petroleum engineers Presents the advantages and disadvantages of the technologies considered Discusses economic and environmental considerations for all the routes evaluated and offers perspectives from experts in the field working with highlighted technologies
Laser-enabled measurements are valuable tools for the investigation of surfaces and interfaces or for the in situ investigation of interfacial processes including electrode processes. The understanding of the thermodynamics of solid/liquid surfaces is important for surface science and electrochemistry. In the first part of this book, the authors describe a range of techniques for investigating interfacial tension and surface stress, which is important for coatings, thin films, and fuel cells. The techniques covered comprise bending beam (bending plate, bending cantilever, wafer curvature) methods with different detection techniques. Special attention is given to methods using optical detection by laser beam deflection or interferometry. The second part is devoted to the techniques based on the detection of refractive index gradients in the solution. The refractive index changes could be related to concentration gradients (Probe Beam Deflection, PBD) or light-induced thermal gradients (Photothermal Deflection Spectroscopy, PDS). The application of the techniques to surface-confined and solution electrochemical systems is described. Subsequently, a comparison with others techniques able to monitor ion fluxes is performed.
Creating Shared Value to get Social License to Operate in the Extractive Industry presents techniques and models that will enable you to actually formulate, implement, and evaluate strategies to shared value to earn SLO.
Despite being known for a long time, microalgae are gaining importance in recent decades because of their high capacity to fixate atmospheric carbon, assisting in the reduction of global warming. Concurrently with carbon fixation, the production of compounds of commercial interest and reuse of industrial and domestic wastewater turned microalgal culture into one of the most commented-on subjects in the scientific community. In this chapter the photosynthetic metabolism of microalgae is described and discussed, with emphasis on carbon sequestration. The chapter covers the basics of growing algae, the most influential factors in CO2 fixation, and quantification methodologies. Practical data on rates of carbon fixation by microalgae are presented, especially those genera of algae with the greatest potential for industrial application: Spirulina, Chlorella, Haematococcus, Dunaliella, and Botryococcus. Finally, aspects of the growing global carbon market and the role microalgal technologies can play are also discussed.
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Differential and Integral Calculus introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. In addition to giving a short introduction to the MATLAB environment and MATLAB programming, this book provides all the material needed to work with ease in differential and integral calculus in one and several variables. Among other core topics of calculus, you will use MATLAB to investigate convergence, find limits of sequences and series and, for the purpose of exploring continuity, limits of functions. Various kinds of local approximations of functions are introduced, including Taylor and Laurent series. Symbolic and numerical techniques of differentiation and integration are covered with numerous examples, including applications to finding maxima and minima, areas, arc lengths, surface areas and volumes. You will also see how MATLAB can be used to solve problems in vector calculus and how to solve differential and difference equations.
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Control Systems Engineering introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. In addition to giving an introduction to the MATLAB environment and MATLAB programming, this book provides all the material needed to design and analyze control systems using MATLAB’s specialized Control Systems Toolbox. The Control Systems Toolbox offers an extensive range of tools for classical and modern control design. Using these tools you can create models of linear time-invariant systems in transfer function, zero-pole-gain or state space format. You can manipulate both discrete-time and continuous-time systems and convert between various representations. You can calculate and graph time response, frequency response and loci of roots. Other functions allow you to perform pole placement, optimal control and estimates. The Control System Toolbox is open and extendible, allowing you to create customized M-files to suit your specific applications.
Maps capture data expressing the economic complexity of countries from Albania to Zimbabwe, offering current economic measures and as well as a guide to achieving prosperity Why do some countries grow and others do not? The authors of The Atlas of Economic Complexity offer readers an explanation based on "Economic Complexity," a measure of a society's productive knowledge. Prosperous societies are those that have the knowledge to make a larger variety of more complex products. The Atlas of Economic Complexity attempts to measure the amount of productive knowledge countries hold and how they can move to accumulate more of it by making more complex products. Through the graphical representation of the "Product Space," the authors are able to identify each country's "adjacent possible," or potential new products, making it easier to find paths to economic diversification and growth. In addition, they argue that a country's economic complexity and its position in the product space are better predictors of economic growth than many other well-known development indicators, including measures of competitiveness, governance, finance, and schooling. Using innovative visualizations, the book locates each country in the product space, provides complexity and growth potential rankings for 128 countries, and offers individual country pages with detailed information about a country's current capabilities and its diversification options. The maps and visualizations included in the Atlas can be used to find more viable paths to greater productive knowledge and prosperity.
MATLAB Mathematical Analysis is a reference book that presents the techniques of mathematical analysis through examples and exercises resolved with MATLAB software. The purpose is to give you examples of the mathematical analysis functions offered by MATLAB so that you can use them in your daily work regardless of the application. The book supposes proper training in the mathematics and so presents the basic knowledge required to be able to use MATLAB for calculational or symbolic solutions to your problems for a vast amount of MATLAB functions. The book begins by introducing the reader to the use of numbers, operators, variables and functions in the MATLAB environment. Then it delves into working with complex variables. A large section is devoted to working with and developing graphical representations of curves, surfaces and volumes. MATLAB functions allow working with two-dimensional and three-dimensional graphics, statistical graphs, curves and surfaces in explicit, implicit, parametric and polar coordinates. Additional work implements twisted curves, surfaces, meshes, contours, volumes and graphical interpolation. The following part covers limits, functions, continuity and numerical and power series. Then differentiation is addressed in one and several variables including differential theorems for vector fields. Thereafter the topic of integration is handled including improper integrals, definite and indefinite integration, integration in multiple variables and multiple integrals and their applications. Differential equations are exemplified in detail, Laplace transforms, Tayor series, and the Runga-Kutta method and partial differential equations.
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Differential Equations introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. In addition to giving an introduction to the MATLAB environment and MATLAB programming, this book provides all the material needed to work on differential equations using MATLAB. It includes techniques for solving ordinary and partial differential equations of various kinds, and systems of such equations, either symbolically or using numerical methods (Euler’s method, Heun’s method, the Taylor series method, the Runge–Kutta method,…). It also describes how to implement mathematical tools such as the Laplace transform, orthogonal polynomials, and special functions (Airy and Bessel functions), and find solutions of finite difference equations.
Tumors and Tumor-like Conditions of the Lung and Pleura is a superb visual resource that brings the state-of-the-art in thoracic diagnosis straight to the lab bench. Cesar A. Moran and Saul Suster are internationally recognized experts in pulmonary pathology who present a coherent and consistent approach to interpretation and diagnosis. Through more than 900 stunning photographs and a consistent, user-friendly format, this resource provides quality guidance on the diagnostic problems you face in everyday practice. You’ll get a host of innovative, practice-oriented features unavailable in any other text that streamline and facilitate diagnostic decision-making. Written by practitioners for practitioners, this visual resource is designed for quick and easy use. You can’t afford to be without it. Features over 900 high-quality full-color illustrations so you can recognize and diagnose any tissue sample under the microscope. Presents immunohistochemical and genetic features wherever relevant for comprehensive information on all of the investigative contexts important to formulating an accurate diagnosis. Includes summary tables throughout the text to simplify and clarify complex discussions and enable "at a glance" comparisons between entities. Provides practical advice from experts on pitfalls in differential diagnosis to help you avoid diagnostic errors.
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Linear Algebra introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. In addition to giving an introduction to the MATLAB environment and MATLAB programming, this book provides all the material needed to work in linear algebra with ease. In addition to exploring MATLAB’s matrix algebra capabilities, it describes the MATLAB commands that are used to create two- and three-dimensional graphics, including explicit, implicit and parametric curve and surface plotting, and various methods of data representation. Methods for solving systems of equations are detailed.
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