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| Author | : Steven Chapra |
| Publisher | : |
| Total Pages | : |
| Release | : 2021 |
| Genre | : |
| ISBN | : 9781265009502 |
| Author | : Steven C. Chapra |
| Publisher | : McGrawhill Education |
| Total Pages | : 0 |
| Release | : 2021-10 |
| Genre | : Engineering |
| ISBN | : 9781266651496 |
"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"--
| Author | : Qingkai Kong |
| Publisher | : Academic Press |
| Total Pages | : 482 |
| Release | : 2020-11-27 |
| Genre | : Technology & Engineering |
| ISBN | : 0128195509 |
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
| Author | : Pankaj Dumka |
| Publisher | : Blue Rose Publishers |
| Total Pages | : 128 |
| Release | : 2022-11-21 |
| Genre | : Technology & Engineering |
| ISBN | : |
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.
| Author | : Steven C. Chapra |
| Publisher | : McGraw-Hill Science/Engineering/Math |
| Total Pages | : 618 |
| Release | : 2008 |
| Genre | : Computers |
| ISBN | : |
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).
| Author | : Jaan Kiusalaas |
| Publisher | : Cambridge University Press |
| Total Pages | : 437 |
| Release | : 2013-01-21 |
| Genre | : Computers |
| ISBN | : 1107033853 |
Provides an introduction to numerical methods for students in engineering. It uses Python 3, an easy-to-use, high-level programming language.
| Author | : William Cyrus Navidi |
| Publisher | : College Ie Overruns |
| Total Pages | : 582 |
| Release | : 2010 |
| Genre | : Engineering |
| ISBN | : 9780070166974 |
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.
| Author | : Steven C. Chapra, Dr. |
| Publisher | : McGraw-Hill Education |
| Total Pages | : 672 |
| Release | : 2021-10-19 |
| Genre | : Technology & Engineering |
| ISBN | : 9781266649615 |
"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"--
| Author | : Jaan Kiusalaas |
| Publisher | : Cambridge University Press |
| Total Pages | : 450 |
| Release | : 2005-07-25 |
| Genre | : Business & Economics |
| ISBN | : 9780521852876 |
Numerical Methods in Engineering with Python, a student text, and a reference for practicing engineers.
| Author | : Sandeep Nagar |
| Publisher | : Apress |
| Total Pages | : 264 |
| Release | : 2017-12-06 |
| Genre | : Computers |
| ISBN | : 1484232046 |
Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you’ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. What You'll Learn Understand the fundamentals of the Python programming language Apply Python to numerical computational programming projects in engineering and science Discover the Pythonic way of life Apply data types, operators, and arrays Carry out plotting for visualization Work with functions and loops Who This Book Is For Engineers, scientists, researchers, and students who are new to Python. Some prior programming experience would be helpful but not required.
