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Spline Collocation Methods for Part...

William E. Schiesser

Spline Collocation Methods for Partial Differential Equations

A comprehensive approach to numerical partial differential equations Spline Collocation Methods for Partial Differential Equations combines the collocation analysis of partial differential equations (PDEs) with the method of lines (MOL) in order to simplify the solution process. Using a series of example applications, the author delineates the main features of the approach in detail, including an established mathematical framework. The book also clearly demonstrates that spline collocation can...

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William E. Schiesser

Introduction to Probability and Sta...

Timothy C. Haas

Introduction to Probability and Statistics for Ecosystem Managers

Explores computer-intensive probability and statistics for ecosystem management decision making Simulation is an accessible way to explain probability and stochastic model behavior to beginners. This book introduces probability and statistics to future and practicing ecosystem managers by providing a comprehensive treatment of these two areas. The author presents a self-contained introduction for individuals involved in monitoring, assessing, and managing ecosystems and features intuitive,...

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Timothy C. Haas

Applied Mathematics for the Analysi...

Peter J. Costa

Applied Mathematics for the Analysis of Biomedical Data

Features a practical approach to the analysis of biomedical data via mathematical methods and provides a MATLAB® toolbox for the collection, visualization, and evaluation of experimental and real-life data Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB® presents a practical approach to the task that biological scientists face when analyzing data. The primary focus is on the application of mathematical models and scientific computing methods to provide...

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Peter J. Costa

Matrix Algebra Useful for Statistic...

Shayle R. Searle

Matrix Algebra Useful for Statistics

A thoroughly updated guide to matrix algebra and it uses in statistical analysis and features SAS®, MATLAB®, and R throughout This Second Edition addresses matrix algebra that is useful in the statistical analysis of data as well as within statistics as a whole. The material is presented in an explanatory style rather than a formal theorem-proof format and is self-contained. Featuring numerous applied illustrations, numerical examples, and exercises, the book has been updated to include the use...

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Shayle R. Searle

Complex Analysis

Jerry R. Muir, Jr.

Complex Analysis

A thorough introduction to the theory of complex functions emphasizing the beauty, power, and counterintuitive nature of the subject Written with a reader-friendly approach, Complex Analysis: A Modern First Course in Function Theory features a self-contained, concise development of the fundamental principles of complex analysis. After laying groundwork on complex numbers and the calculus and geometric mapping properties of functions of a complex variable, the author uses power series as a...

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Jerry R. Muir, Jr.

Fundamentals of Matrix Analysis wit...

Edward Barry Saff

Fundamentals of Matrix Analysis with Applications

An accessible and clear introduction to linear algebra with a focus on matrices and engineering applications Providing comprehensive coverage of matrix theory from a geometric and physical perspective, Fundamentals of Matrix Analysis with Applications describes the functionality of matrices and their ability to quantify and analyze many practical applications. Written by a highly qualified author team, the book presents tools for matrix analysis and is illustrated with extensive examples and...

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Edward Barry Saff

Probabilities

Peter Olofsson

Probabilities

Praise for the First Edition “If there is anything you want to know, or remind yourself, about probabilities, then look no further than this comprehensive, yet wittily written and enjoyable, compendium of how to apply probability calculations in real-world situations.” – Keith Devlin, Stanford University, National Public Radio’s “Math Guy” and author of The Math Gene and The Unfinished Game From probable improbabilities to regular irregularities, Probabilities: The Little Numbers That Rule Our...

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Peter Olofsson

Computational Design of Lightweight...

Benoit Descamps

Computational Design of Lightweight Structures

The author of this book presents a general, robust, and easy-to-use method that can handle many design parameters efficiently. Following an introduction, Chapter 1 presents the general concepts of truss layout optimization, starting from topology optimization where structural component sizes and system connectivity are simultaneously optimized. To fully realize the potential of truss layout optimization for the design of lightweight structures, the consideration of geometrical variables is then...

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Benoit Descamps

Nonlinear Regression Modeling for E...

R. Russell Rhinehart

Nonlinear Regression Modeling for Engineering Applications

Since mathematical models express our understanding of how nature behaves, we use them to validate our understanding of the fundamentals about systems (which could be processes, equipment, procedures, devices, or products). Also, when validated, the model is useful for engineering applications related to diagnosis, design, and optimization. First, we postulate a mechanism, then derive a model grounded in that mechanistic understanding. If the model does not fit the data, our understanding of the...

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R. Russell Rhinehart

Aerospace Actuators 2

Jean-Charles Maré

Aerospace Actuators 2

This book is the second in a series of volumes which cover the topic of aerospace actuators following a systems-based approach. This second volume brings an original, functional and architectural vision to more electric aerospace actuators. The aspects of signal (Signal-by-Wire) and power (Power-by-Wire) are treated from the point of view of needs, their evolution throughout history, and operational solutions that are in service or in development. This volume is based on an extensive...

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Jean-Charles Maré

Efficiency and Productivity Growth

Fotios Pasiouras

Efficiency and Productivity Growth

An authoritative introduction to efficiency and productivity analysis with applications in both the banking and finance industry In light of the recent global financial crisis, several studies have examined the efficiency of financial institutions. A number of open questions remain and this book reviews recent issues and state-of-the-art techniques in the assessment of the efficiency and productivity of financial institutions. Written by an international team of experts, the first part of the...

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Fotios Pasiouras

MATLAB und Mathematik kompetent ein...

Stefan Miodoski Adam

MATLAB und Mathematik kompetent einsetzen

Das erfolgreiche MATLAB- und Mathematikbuch von Stefan Adam fordert den Aufbau einer fundierten Kompetenz zur Losung von naturwissenschaftlichen und technischen Berechnungsproblemen. Zusammen mit den Erlauterungen zur Anwendung und Programmierung vom MATLAB wird immer auch ein tiefer Einblick vermittelt in die dahinter stehenden mathematischen Zusammenhange. Durch viele Beispiele, Ubungen und selbst zu erstellende Demonstrationsprogramme wird der Leser angeleitet, sich in der Umgebung von MATLAB...

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Stefan Miodoski Adam

An Introduction to the Early Develo...

Michael K. J. Goodman

An Introduction to the Early Development of Mathematics

An easy-to-read presentation of the early history of mathematics Engaging and accessible, An Introduction to the Early Development of Mathematics provides a captivating introduction to the history of ancient mathematics in early civilizations for a nontechnical audience. Written with practical applications in a variety of areas, the book utilizes the historical context of mathematics as a pedagogical tool to assist readers working through mathematical and historical topics. The book is divided...

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Michael K. J. Goodman

Global Dynamics

Группа авторов

Global Dynamics

A world model: economies, trade, migration, security and development aid. This bookprovides the analytical capability to understand and explore the dynamics of globalisation. It is anchored in economic input-output models of over 200 countries and their relationships through trade, migration, security and development aid. The tools of complexity science are brought to bear and mathematical and computer models are developed both for the elements and for an integrated whole. Models are developed...

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Группа авторов

Probability and Stochastic Processe...

Ionut Florescu

Probability and Stochastic Processes

A comprehensive and accessible presentation of probability and stochastic processes with emphasis on key theoretical concepts and real-world applications With a sophisticated approach, Probability and Stochastic Processes successfully balances theory and applications in a pedagogical and accessible format. The book’s primary focus is on key theoretical notions in probability to provide a foundation for understanding concepts and examples related to stochastic processes. Organized into two main...

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Ionut Florescu

Differential Equation Analysis in B...

William E. Schiesser

Differential Equation Analysis in Biomedical Science and Engineering

Features a solid foundation of mathematical and computational tools to formulate and solve real-world PDE problems across various fields With a step-by-step approach to solving partial differential equations (PDEs), Differential Equation Analysis in Biomedical Science and Engineering: Partial Differential Equation Applications with R successfully applies computational techniques for solving real-world PDE problems that are found in a variety of fields, including chemistry, physics, biology, and...

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William E. Schiesser

Understanding Uncertainty

Dennis V. Lindley

Understanding Uncertainty

Praise for the First Edition «…a reference for everyone who is interested in knowing and handling uncertainty.» —Journal of Applied Statistics The critically acclaimed First Edition of Understanding Uncertainty provided a study of uncertainty addressed to scholars in all fields, showing that uncertainty could be measured by probability, and that probability obeyed three basic rules that enabled uncertainty to be handled sensibly in everyday life. These ideas were extended to embrace the...

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Dennis V. Lindley

An Introduction to SAGE Programming

Razvan A. Mezei

An Introduction to SAGE Programming

Features a simplified presentation of numerical methods by introducing and implementing SAGE programs An Introduction to SAGE Programming: With Applications to SAGE Interacts for Numerical Methods emphasizes how to implement numerical methods using SAGE Math and SAGE Interacts and also addresses the fundamentals of computer programming, including if statements, loops, functions, and interacts. The book also provides a unique introduction to SAGE and its computer algebra system capabilities;...

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Razvan A. Mezei

Evolutionary Optimization Algorithm...

Dan Simon

Evolutionary Optimization Algorithms

A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant colonies. This book discusses the theory, history, mathematics, and programming of evolutionary optimization algorithms. Featured algorithms include genetic algorithms, genetic programming,...

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Dan Simon

Banking Systems Simulation

Stefano Zedda

Banking Systems Simulation

Presents information sources and methodologies for modeling and simulating banking system stability Combining both academic and institutional knowledge and experience, Banking Systems Simulation: Theory, Practice, and Application of Modeling Shocks, Losses, and Contagion presents banking system risk modeling clearly within a theoretical framework. Written from the global financial perspective, the book explores single bank risk, common bank exposures, and contagion, and how these apply on a...

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Stefano Zedda

Principles of Mathematics

Vladimir Lepetic

Principles of Mathematics

Presents a uniquely balanced approach that bridges introductory and advanced topics in modern mathematics An accessible treatment of the fundamentals of modern mathematics, Principles of Mathematics: A Primer provides a unique approach to introductory andadvanced mathematical topics. The book features six main subjects, whichcan be studied independently or in conjunction with each other including: settheory; mathematical logic; proof theory; group theory; theory of functions; andlinear algebra....

Автор

Vladimir Lepetic

Basic Data Analysis for Time Series...

DeWayne R. Derryberry

Basic Data Analysis for Time Series with R

Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space. Balancing a theoretical and practical approach to analyzing data within the context of serial correlation, the book presents a coherent and systematic regression-based approach to model selection. The book illustrates these principles of model selection and model building through the use of...

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DeWayne R. Derryberry

Multivariate Time Series Analysis

Ruey S. Tsay

Multivariate Time Series Analysis

An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a fundamental balance of theory and methodology, the book supplies readers with a comprehensible approach to financial econometric models and their applications to real-world empirical research....

Автор

Ruey S. Tsay

Theory of Probability

Bruno de Finetti

Theory of Probability

First issued in translation as a two-volume work in 1975, this classic book provides the first complete development of the theory of probability from a subjectivist viewpoint. It proceeds from a detailed discussion of the philosophical mathematical aspects to a detailed mathematical treatment of probability and statistics. De Finetti’s theory of probability is one of the foundations of Bayesian theory. De Finetti stated that probability is nothing but a subjective analysis of the likelihood that...

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Bruno de Finetti

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