Loose Leaf For Applied Numerical Methods With Python For Engineers And Scientists

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Loose Leaf for Applied Numerical Methods with Python for Engineers and Scientists

Author : Steven C. Chapra, Dr.
Publisher : McGraw-Hill Education
Page : 672 pages
File Size : 51,9 Mb
Release : 2021-10-19
Category : Technology & Engineering
ISBN : 1266649611

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Loose Leaf for Applied Numerical Methods with Python for Engineers and Scientists by Steven C. Chapra, Dr. Pdf

"When we first learned to use computers as students in the 1960s, Fortran was the language of choice for most engineering and scientific computations. Over the ensuing half century, numerous other languages have proven useful for implementing the numerical calculations that are so valuable to our research and teaching. Along with a succession of improved Fortran versions, other languages such as Algol, Basic, Pascal, and C/C++ have all found their way into our computational toolbox. The basic content, organization, and pedagogy of this book is like our other numerical methods textbooks. In particular, a conversational writing style is intentionally maintained in order to make the book easier to read. This book tries to speak directly to the reader and is designed in part to be a tool for self-teaching. As such, we also believe it will have value outside the classroom for professionals desiring to gain proficiency in both numerical methods and Python"--

Applied Numerical Methods with MATLAB for Engineers and Scientists

Author : Steven C. Chapra
Publisher : Unknown
Page : 128 pages
File Size : 47,7 Mb
Release : 2023
Category : Engineering mathematics
ISBN : 1264934572

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Applied Numerical Methods with MATLAB for Engineers and Scientists by Steven C. Chapra Pdf

"This book is designed to support a one-semester course in numerical methods. It has been written for students who want to learn and apply numerical methods in order to solve problems in engineering and science. As such, the methods are motivated by problems rather than by mathematics. That said, sufficient theory is provided so that students come away with insight into the techniques and their shortcomings"--

Python Programming and Numerical Methods

Author : Qingkai Kong,Timmy Siauw,Alexandre Bayen
Publisher : Academic Press
Page : 482 pages
File Size : 50,8 Mb
Release : 2020-11-27
Category : Technology & Engineering
ISBN : 9780128195505

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Python Programming and Numerical Methods by Qingkai Kong,Timmy Siauw,Alexandre Bayen Pdf

Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem-solving techniques through the use of numerical methods and the Python programming language. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level that allows students to quickly apply results in practical settings. Includes tips, warnings and "try this" features within each chapter to help the reader develop good programming practice Summaries at the end of each chapter allow for quick access to important information Includes code in Jupyter notebook format that can be directly run online

Loose Leaf for Numerical Methods for Engineers

Author : Raymond P. Canale,Steven C. Chapra, Dr.
Publisher : McGraw-Hill Education
Page : 1008 pages
File Size : 55,9 Mb
Release : 2020-03-03
Category : Technology & Engineering
ISBN : 1260484580

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Loose Leaf for Numerical Methods for Engineers by Raymond P. Canale,Steven C. Chapra, Dr. Pdf

The eighth edition of Chapra and Canale's Numerical Methods for Engineers retains the instructional techniques that have made the text so successful. The book covers the standard numerical methods employed by both students and practicing engineers. Although relevant theory is covered, the primary emphasis is on how the methods are applied for engineering problem solving. Each part of the book includes a chapter devoted to case studies from the major engineering disciplines. Numerous new or revised end-of chapter problems and case studies are drawn from actual engineering practice. This edition also includes several new topics including a new formulation for cubic splines, Monte Carlo integration, and supplementary material on hyperbolic partial differential equations.

Numerical Methods in Engineering with Python

Author : Jaan Kiusalaas
Publisher : Cambridge University Press
Page : 434 pages
File Size : 49,6 Mb
Release : 2014-08-21
Category : Technology & Engineering
ISBN : 1107435935

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Numerical Methods in Engineering with Python by Jaan Kiusalaas Pdf

Numerical Methods in Engineering with Python, 2nd Edition is a text for engineering students and a reference for practicing engineers, especially those who wish to explore Python. This new edition features 18 additional exercises and the addition of rational function interpolation. Brent's method of root finding was replaced by Ridder's method, and the Fletcher-Reeves method of optimization was dropped in favor of the downhill simplex method. Each numerical method is explained in detail, and its shortcomings are pointed out. The examples that follow individual topics fall into two categories: hand computations that illustrate the inner workings of the method and small programs that show how the computer code is utilized in solving a problem. This second edition also includes more robust computer code with each method, which is available on the book Web site. This code is made simple and easy to understand by avoiding complex bookkeeping schemes, while maintaining the essential features of the method.

Applied Numerical Methods with MATLAB for Engineers and Scientists

Author : Steven C. Chapra
Publisher : McGraw-Hill Science/Engineering/Math
Page : 618 pages
File Size : 44,5 Mb
Release : 2008
Category : Technology & Engineering
ISBN : UOM:39076002802341

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Applied Numerical Methods with MATLAB for Engineers and Scientists by Steven C. Chapra Pdf

Still brief - but with the chapters that you wanted - Steven Chapra’s new second edition is written for engineering and science students who need to learn numerical problem solving. This text focuses on problem-solving applications rather than theory, using MATLAB throughout. Theory is introduced to inform key concepts which are framed in applications and demonstrated using MATLAB. The new second edition feature new chapters on Numerical Differentiation, Optimization, and Boundary-Value Problems (ODEs).

"Numerical Methods using Python (For scientists and Engineers)"

Author : Pankaj Dumka,Rishika Dumka,Dhananjay R. Mishra
Publisher : Blue Rose Publishers
Page : 128 pages
File Size : 47,8 Mb
Release : 2022-11-21
Category : Technology & Engineering
ISBN : 8210379456XXX

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"Numerical Methods using Python (For scientists and Engineers)" by Pankaj Dumka,Rishika Dumka,Dhananjay R. Mishra Pdf

The book is specifically intended for scientists, engineers, and engineering students who have taken a course on numeric methods and wish to comprehend and learn the subject through programming. The book's chapters are written methodically (step-by-step) so that programming becomes simple. More emphasis is placed on computationally modelling the methodologies and discussing the numerical method. Python is chosen as the programming language because it is simple to comprehend and use compared to other programming languages. The book allows readers to use and experiment with the approaches it describes. With very few adjustments, many of the programmes in the book can be utilised for applications in science and engineering.

Numerical Methods in Engineering with Python 3

Author : Jaan Kiusalaas
Publisher : Cambridge University Press
Page : 437 pages
File Size : 52,9 Mb
Release : 2013-01-21
Category : Computers
ISBN : 9781107033856

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Numerical Methods in Engineering with Python 3 by Jaan Kiusalaas Pdf

Provides an introduction to numerical methods for students in engineering. It uses Python 3, an easy-to-use, high-level programming language.

Principles of Statistics for Engineers and Scientists

Author : William Cyrus Navidi
Publisher : College Ie Overruns
Page : 582 pages
File Size : 43,6 Mb
Release : 2010
Category : Engineering
ISBN : 0070166978

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Principles of Statistics for Engineers and Scientists by William Cyrus Navidi Pdf

Principles of Statistics for Engineers and Scientists offers the same crystal clear presentation of applied statistics as Bill Navidi's Statistics for Engineers and Scientists text, in a manner especially designed for the needs of a one-semester course that is focused on applications. By presenting ideas in the context of real-world data sets and with plentiful examples of computer output, the book is great for motivating students to understand the importance of statistics in their careers and their lives. The text features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly and the use of contemporary real world data sets to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.

A Primer on Scientific Programming with Python

Author : Hans Petter Langtangen
Publisher : Springer
Page : 942 pages
File Size : 54,7 Mb
Release : 2016-07-28
Category : Computers
ISBN : 9783662498873

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A Primer on Scientific Programming with Python by Hans Petter Langtangen Pdf

The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015

Applied Scientific Computing

Author : Peter R. Turner,Thomas Arildsen,Kathleen Kavanagh
Publisher : Springer
Page : 272 pages
File Size : 41,8 Mb
Release : 2018-07-18
Category : Computers
ISBN : 9783319895758

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Applied Scientific Computing by Peter R. Turner,Thomas Arildsen,Kathleen Kavanagh Pdf

This easy-to-understand textbook presents a modern approach to learning numerical methods (or scientific computing), with a unique focus on the modeling and applications of the mathematical content. Emphasis is placed on the need for, and methods of, scientific computing for a range of different types of problems, supplying the evidence and justification to motivate the reader. Practical guidance on coding the methods is also provided, through simple-to-follow examples using Python. Topics and features: provides an accessible and applications-oriented approach, supported by working Python code for many of the methods; encourages both problem- and project-based learning through extensive examples, exercises, and projects drawn from practical applications; introduces the main concepts in modeling, python programming, number representation, and errors; explains the essential details of numerical calculus, linear, and nonlinear equations, including the multivariable Newton method; discusses interpolation and the numerical solution of differential equations, covering polynomial interpolation, splines, and the Euler, Runge–Kutta, and shooting methods; presents largely self-contained chapters, arranged in a logical order suitable for an introductory course on scientific computing. Undergraduate students embarking on a first course on numerical methods or scientific computing will find this textbook to be an invaluable guide to the field, and to the application of these methods across such varied disciplines as computer science, engineering, mathematics, economics, the physical sciences, and social science.

Python for Scientists

Author : John M. Stewart
Publisher : Cambridge University Press
Page : 272 pages
File Size : 49,8 Mb
Release : 2017-07-20
Category : Computers
ISBN : 9781316641231

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Python for Scientists by John M. Stewart Pdf

Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets. Everything the working scientist needs to know is covered, quickly providing researchers and research students with the skills to start using Python effectively.