Applied Numerical Methods with MATLAB for Engineers and Scientists

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ISE Applied Numerical Methods with Python for Engineers and Scientists McGraw-Hill Education

Książki / Literatura obcojęzyczna

Sklep: Libristo.pl

Numerical Methods For Engineers And Scientists

Książki Obcojęzyczne>Angielskie>Technology, engineering, agriculture>Mechanical engineering & materials

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Sklep: Gigant.pl

Fundamental Of Numerical Methods For Scientists And Engineers

Książki Obcojęzyczne>Angielskie>Mathematics & science>Mathematics

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Numerical Methods for Engineers and Scientists Using MATLAB(R), Second Edition

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Excel for Scientists and Engineers - Numerical Methods John Wiley & Sons Inc

Książki / Literatura obcojęzyczna

Learn to fully harness the power of Microsoft Excel(r) to perform scientific and engineering calculations With this text as your guide, you can significantly enhance Microsoft Excel's(r) capabilities to execute the calculations needed to solve a variety of chemical, biochemical, physical, engineering, biological, and medicinal problems. The text begins with two chapters that introduce you to Excel's Visual Basic for Applications (VBA) programming language, which allows you to expand Excel's(r) capabilities, although you can still use the text without learning VBA. Following the author's step-by-step instructions, here are just a few of the calculations you learn to perform: * Use worksheet functions to work with matrices * Find roots of equations and solve systems of simultaneous equations * Solve ordinary differential equations and partial differential equations * Perform linear and non-linear regression * Use random numbers and the Monte Carlo method This text is loaded with examples ranging from very basic to highly sophisticated solutions. More than 100 end-of-chapter problems help you test and put your knowledge to practice solving real-world problems.Answers and explanatory notes for most of the problems are provided in an appendix. The CD-ROM that accompanies this text provides several useful features: * All the spreadsheets, charts, and VBA code needed to perform the examples from the text * Solutions to most of the end-of-chapter problems * An add-in workbook with more than twenty custom functions This text does not require any background in programming, so it is suitable for both undergraduate and graduate courses. Moreover, practitioners in science and engineering will find that this guide saves hours of time by enabling them to perform most of their calculations with one familiar spreadsheet package

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Advanced Mathematical Methods for Scientists and Engineers I Springer, Berlin

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A clear, practical and self-contained presentation of the methods of asymptotics and perturbation theory for obtaining approximate analytical solutions to differential and difference equations. Aimed at teaching the most useful insights in approaching new problems, the text avoids special methods and tricks that only work for particular problems. Intended for graduates and advanced undergraduates, it assumes only a limited familiarity with differential equations and complex variables. The presentation begins with a review of differential and difference equations, then develops local asymptotic methods for such equations, and explains perturbation and summation theory before concluding with an exposition of global asymptotic methods. Emphasizing applications, the discussion stresses care rather than rigor and relies on many well-chosen examples to teach readers how an applied mathematician tackles problems. There are 190 computer-generated plots and tables comparing approximate and exact solutions, over 600 problems of varying levels of difficulty, and an appendix summarizing the properties of special functions.This book gives a clear, practical and self-contained presentation of the methods of asymptotics and perturbation theory and explains how to use these methods to obtain approximate analytical solutions to differential and difference equations. These methods allow one to analyze physics and engineering problems that may not be solvable in closed form and for which brute-force numerical methods may not converge to useful solutions. The objective of this book is to teaching the insights and problem-solving skills that are most useful in solving mathematical problems arising in the course of modern research.§Intended for graduate students and advanced undergraduates, the book assumes only a limited familiarity with differential equations and complex variables.§The presentation begins with a review of differential and difference equations; develops local asymptotic methods for differential and difference equations; explains perturbation and summation theory; and concludes with a an exposition of global asymptotic methods, including boundary-layer theory, WKB theory, and multiple-scale analysis. Emphasizing applications, the discussion stresses care rather than rigor and relies on many well-chosen examples to teach the reader how an applied mathematician tackles problems. There are 190 computer-generated plots and tables comparing approximate and exact solutions; over 600 problems, of varying levels of difficulty; and an appendix summarizing the properties of special functions.

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Applied Data Analysis and Modeling for Energy Engineers and Scientists Springer, Berlin

Książki / Literatura obcojęzyczna

Now in a thoroughly revised and expanded second edition, this classroom-tested text demonstrates and illustrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability, statistics, experimental design, regression, optimization, parameter estimation, inverse modeling, risk analysis, decision-making, and sustainability assessment methods to energy processes and systems. It provides a formal structure that offers a broad and integrative perspective to enhance knowledge, skills, and confidence to work in applied data analysis and modeling problems. This new edition also reflects recent trends and advances in statistical modeling as applied to energy and building processes and systems. It includes numerous examples from recently published technical papers to nurture and stimulate a more research-focused mindset. How the traditional stochastic data modeling approaches are complemented by data analytic algorithmic models such as machine learning and data mining are also discussed. The important societal issues related to the sustainability of energy systems are presented, and a formal structure is proposed meant to classify the various assessment methods found in the literature. Applied Data Analysis and Modeling for Energy Engineers and Scientists is designed for senior-level undergraduate and graduate instruction in energy engineering and mathematical modeling, for  continuing education professional courses, and as a self-study reference book for working professionals. In order for readers to have exposure and proficiency with performing hands-on analysis, the open-source Python and R programming languages have been adopted in the form of Jupyter notebooks and R markdown files, and numerous data sets and sample computer code reflective of real-world problems are available online.

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Advanced Mathematical Methods for Scientists and Engineers I Springer-Verlag New York Inc.

Książki / Literatura obcojęzyczna

A clear, practical and self-contained presentation of the methods of asymptotics and perturbation theory for obtaining approximate analytical solutions to differential and difference equations. Aimed at teaching the most useful insights in approaching new problems, the text avoids special methods and tricks that only work for particular problems. Intended for graduates and advanced undergraduates, it assumes only a limited familiarity with differential equations and complex variables. The presentation begins with a review of differential and difference equations, then develops local asymptotic methods for such equations, and explains perturbation and summation theory before concluding with an exposition of global asymptotic methods. Emphasizing applications, the discussion stresses care rather than rigor and relies on many well-chosen examples to teach readers how an applied mathematician tackles problems. There are 190 comput er-generated plots and tables comparing approximate and exact solutions, over 600 problems of varying levels of difficulty, and an appendix summarizing the properties of special functions.

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Methods of Mathematics Applied to Calculus, Probability, and Statistics Dover Publications Inc.

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Richard W. Hamming: The Computer IconRichard W. Hamming (1915

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Statistics and Data Analysis for Engineers and Scientists Springer, Berlin

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This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs-Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses, and apply them to their research or professional fields. The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world.

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Quantum Mechanics for Scientists and Engineers Cambridge University Press

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If you need a book that relates the core principles of quantum mechanics to modern applications in engineering, physics, and nanotechnology, this is it. Students will appreciate the book's applied emphasis, which illustrates theoretical concepts with examples of nanostructured materials, optics, and semiconductor devices. The many worked examples and more than 160 homework problems help students to problem solve and to practise applications of theory. Without assuming a prior knowledge of high-level physics or classical mechanics, the text introduces Schrödinger's equation, operators, and approximation methods. Systems, including the hydrogen atom and crystalline materials, are analyzed in detail. More advanced subjects, such as density matrices, quantum optics, and quantum information, are also covered. Practical applications and algorithms for the computational analysis of simple structures make this an ideal introduction to quantum mechanics for students of engineering, physics, nanotechnology, and other disciplines. Additional resources available from www.cambridge.org/9780521897839.

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Essential Mathematics for Engineers and Scientists Cambridge University Press

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This text is geared toward students who have an undergraduate degree or extensive coursework in engineering or the physical sciences and who wish to develop their understanding of the essential topics of applied mathematics. The methods covered in the chap

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How NASA Builds Teams - Mission Critical Soft Skills for Scientists, Engineers, and Project Teams John Wiley & Sons Inc

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Every successful organization needs high-performance teams to compete and succeed. Yet, technical people are often resistant to traditional "touchy-feely" teambuilding. To improve communication, performance, and morale among NASA's technical teams, former NASA Astrophysicist Dr. Charlie Pellerin developed the teambuilding process described in "How NASA Builds Teams"-an approach that is proven, quantitative, and requires only a fraction of the time and resources of traditional training methods. This "4-D" process has boosted team performance in hundreds of NASA project teams, engineering teams, and management teams, including the people responsible for NASA's most complex systems - the Space Shuttle, space telescopes, robots on Mars, and the mission back to the moon. How NASA Builds Teams explains how the 4-D teambuilding process can be applied in any organization, and includes a fast, free on-line behavioral assessment to help your team and the individual members understand each other and measure the key driver of team performance, the social context. Moreover, these simple, logical processes appeal strongly to technical teams who eschew "touchy-feely" training.Pellerin applies simple, elegant principles from his physics background to the art teambuilding, such as the use of a coordinate system to analyze the characteristics of team performance into actionable elements. The author illustrates the teambuilding process with entertaining stories from his decade as NASA's Director for Astrophysics and subsequent 15 years of working closely with NASA and outside business teams. For example, he tells how the processes in the book enabled him to initiate the space mission to fix the Hubble Space Telescope's flawed mirror. Free downloadable resources will help you: Identify your teammates' innate personalities Diagram your culture (And compare it to your customer's) Measure the coherency of your project's paradigm (Get this wrong and you will be fired!) and Learn to meet people's need to feel valued by you. Further, you can download and use Pellerin's most powerful tool for influencing the outcome of any difficult situation: the Context Shifting Worksheet.

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Statics for Engineers and Scientists McGraw-Hill

Medycyna > English Division

"Statistics for Engineers and Scientists" stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work.

Sklep: Ksiazki-medyczne.eu