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Numerical methods for differential equations : a computational approach

Dormand, John R

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تحویل فوری
پرداخت امن
ضمانت فایل
پشتیبانی

مشخصات کتاب

نویسنده
Dormand, John R
سال انتشار
۲۰۱۸
فرمت
PDF
زبان
انگلیسی
حجم فایل
۱۲٫۳ مگابایت
شابک
9780367834593، 9781315896007، 9781351075107، 9781351083553، 9781351092005، 9781351100458، 0367834596، 1315896001، 1351075101، 1351083554، 1351092006، 1351100459

دربارهٔ کتاب

"With emphasis on modern techniques, Numerical Methods for Differential Equations: A Computational Approach covers the development and application of methods for the numerical solution of ordinary differential equations. Some of the methods are extended to cover partial differential equations. All techniques covered in the text are on a disk included with the book, and are written in FORTRAN 90. These programs are ideal for students, researchers, and other practitioners because they allow for straightforward application of the numerical methods described in the text. The code is easily modified to solve new systems of equations." "Numerical Methods for Differential Equations: A Computational Approach also contains what is probably the first reliable and inexpensive global error code to be made available to practitioners who are interested in global error estimation. This is a valuable text for students, who will find the derivations of the numerical methods extremely helpful and the programs themselves easy to use. It is also an excellent reference and source of software for researchers and other practitioners who need computer solutions to differential equations."--Jacket. Read more... Abstract: "With emphasis on modern techniques, Numerical Methods for Differential Equations: A Computational Approach covers the development and application of methods for the numerical solution of ordinary differential equations. Some of the methods are extended to cover partial differential equations. All techniques covered in the text are on a disk included with the book, and are written in FORTRAN 90. These programs are ideal for students, researchers, and other practitioners because they allow for straightforward application of the numerical methods described in the text. The code is easily modified to solve new systems of equations." "Numerical Methods for Differential Equations: A Computational Approach also contains what is probably the first reliable and inexpensive global error code to be made available to practitioners who are interested in global error estimation. This is a valuable text for students, who will find the derivations of the numerical methods extremely helpful and the programs themselves easy to use. It is also an excellent reference and source of software for researchers and other practitioners who need computer solutions to differential equations."--Jacket With emphasis on modern techniques, Numerical Methods for Differential Equations: A Computational Approach covers the development and application of methods for the numerical solution of ordinary differential equations. Some of the methods are extended to cover partial differential equations. All techniques covered in the text are on a program disk included with the book, and are written in Fortran 90. These programs are ideal for students, researchers, and practitioners because they allow for straightforward application of the numerical methods described in the text. The code is easily modified to solve new systems of equations. Numerical Methods for Differential Equations: A Computational Approach also contains a reliable and inexpensive global error code for those interested in global error estimation. This is a valuable text for students, who will find the derivations of the numerical methods extremely helpful and the programs themselves easy to use. It is also an excellent reference and source of software for researchers and practitioners who need computer solutions to differential equations. Content: 1.Differential Equations 2. First Ideas and Single-Step Methods 3. Error Considerations 4. Runge-Kutta Methods 5. Step-Size Control 6. Dense Output 7. Stability and Stiffness 8. Multistep Methods 9. Multistep Formulae from Quadrature 10. Stability of Multistep Methods 11. Methods for Stiff Systems 12. Variable Coefficient Multistep Methods 13. Global Error Estimation 14. Second Order Equations 15. Partial Differential Equations

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