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Titlebook: A First Course in Ordinary Differential Equations; Analytical and Numer Martin Hermann,Masoud Saravi Textbook 2014 Springer India 2014 Diff

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發(fā)表于 2025-3-21 18:14:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱A First Course in Ordinary Differential Equations
期刊簡稱Analytical and Numer
影響因子2023Martin Hermann,Masoud Saravi
視頻videohttp://file.papertrans.cn/141/140774/140774.mp4
發(fā)行地址Presents a modern introduction to analytical and numerical techniques for solving ordinary differential equations.Provides a variety of problems to help students test and deepen their knowledge.A valu
圖書封面Titlebook: A First Course in Ordinary Differential Equations; Analytical and Numer Martin Hermann,Masoud Saravi Textbook 2014 Springer India 2014 Diff
影響因子.This book presents a modern introduction to analytical and numerical techniques for solving ordinary differential equations (ODEs). Contrary to the traditional format—the theorem-and-proof format—the book is focusing on analytical and numerical methods. The book supplies a variety of problems and examples, ranging from the elementary to the advanced level, to introduce and study the mathematics of ODEs. The analytical part of the book deals with solution techniques for scalar first-order and second-order linear ODEs, and systems of linear ODEs—with a special focus on the Laplace transform, operator techniques and power series solutions. In the numerical part, theoretical and practical aspects of Runge-Kutta methods for solving initial-value problems and shooting methods for linear two-point boundary-value problems are considered. .The book is intended as a primary text for courses on the theory of ODEs and numerical treatment of ODEs for advanced undergraduate and early graduatestudents. It is assumed that the reader has a basic grasp of elementary calculus, in particular methods of integration, and of numerical analysis. Physicists, chemists, biologists, computer scientists and e
Pindex Textbook 2014
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發(fā)表于 2025-3-21 20:34:13 | 只看該作者
Power Series Solutions,confidence interval. You will learn how to estimate the population mean (average) for a group of people (or objects, plants, or animals) at a 95% confidence level so that you are 95% confident that the population mean is between a lower limit of the data and an upper limit of the data. The formula f
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Numerical Methods for Initial Value Problems,nd the standard error of the mean (s.e.) of these scores. All three of these statistics are basic to the study of statistics and are used frequently within many additional statistical tests. The formulas are presented, explained, and a practical example is given for each formula that shows how the f
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Shooting Methods for Linear Boundary Value Problems,better prediction model by using . to predict Y instead of a single predictor as we discussed in Chap. 6 of this book. The resulting statistical procedure is called “multiple correlation” because it uses two or more predictors, each weighed differently in an equation, to predict Y. The job of multip
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Back Matterown in mathematical fine points.You will be told each step o.This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively.? It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical probl
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Textbook 2014e theory of ODEs and numerical treatment of ODEs for advanced undergraduate and early graduatestudents. It is assumed that the reader has a basic grasp of elementary calculus, in particular methods of integration, and of numerical analysis. Physicists, chemists, biologists, computer scientists and e
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Systems of Linear Differential Equations, to help you assess your situation, whether common or unique, and solve your problem. Working examples of complex PivotTables and numerous PivotTable programming examples will help you solve problems quickly, w978-1-59059-920-4978-1-4302-0504-3
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Back Matters statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand problems.? Practice problems are provided at the end of each chapter with their solutions in an appendix978-1-4614-3621-8978-1-4614-3622-5
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發(fā)表于 2025-3-23 03:54:30 | 只看該作者
uatestudents. It is assumed that the reader has a basic grasp of elementary calculus, in particular methods of integration, and of numerical analysis. Physicists, chemists, biologists, computer scientists and e978-81-322-3527-9978-81-322-1835-7
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