Computing for Numerical Methods Using Visual C++ has been written to promote
the use of Visual C++ in scientiﬁc computing. C++ is a beautiful language that
has contributed to shaping the modern world today. The language has contributed
to many device drivers in electronic equipment, as a tool in the development of
many computer software programs, and as a tool for both research and teaching.
Therefore, its involvement in providing the solution for numerical methods is very
(BQ) Ebook An Introduction to Programming and Numerical Methods in MATLAB provides an introduction to the numerical methods that are typically encountered (and used) in science and engineering undergraduate courses. The material is developed in tandem with matlab which allows rapid prototyping and testing of the methods. The package matlab (matrix laboratory) pro vides an environment in which students can learn to programme and explore the structure of the numerical methods.
Ebook "Numerical methods for engineers" presentation of content: Mathematical modeling and engineering problem solving, programming and software, approximations and round - Off errors, truncation errors and the taylor series,... Invite you to consult.
Bài giảng Applied numerical methods (Ứng dụng phương pháp tính số) - Chương 1: Tóm lược ngôn ngữ lập trình Fortran 90. Những nội dung chính trong chương này gồm có: Fortran cơ sở, các câu lệnh cơ bản, hàm và thủ tục. Mời các bạn cùng tham khảo.
Bài giảng Applied numerical methods (Ứng dụng phương pháp tính số) - Chương 5: Vi phân và tích phân. Nội dung cụ thể trong chương này: Lấy vi phân các hàm giải tích, lấy vi phân các hàm rời rạc, sai phân xác định và đạo hàm bậc hai (Finite differences and second order derivatives), phương pháp Newton và phương pháp Simpson, phương pháp Monte-Carlo. Tích phân nhiều chiều.
Bài giảng Applied numerical methods (Ứng dụng phương pháp tính số) - Chương 6: Phương trình vi phân. Những nội dung chính được trình bày trong chương này gồm: Các bài toán giá trị đầu (Initial value problems), giải hệ các phương trình vi phân, các bài toán giá trị biên.
This volume contains a refereed selection of papers, which were first presented at the international conference on Numerical Methods for Finance held in Dublin, Ireland in June 2006 and were then submitted for publication. The refereeing procedure was carried out by members of the International Steering Committee, the Local Organizing Committee and the Editors. The aim of the conference was to attract leading researchers, both practitioners and academics, to discuss new and relevant numerical methods for the solution of practical problems in finance.
In recent years the study of numerical methods for solving ordinary differential equations has seen many new developments. This second edition of the author's pioneering text is fully revised and updated to acknowledge many of these developments. It includes a complete treatment of linear multistep methods whilst maintaining its unique and comprehensive emphasis on Runge-Kutta methods and general linear methods.
Although the specialist topics are taken to an advanced level, the entry point to the volume as a whole is not especially demanding.
Many mechanics and physics problems have variational formulations making them appropriate for numerical treatment by finite element techniques and efficient iterative methods. This book describes the mathematical background and reviews the techniques for solving problems, including those that require large computations such as transonic flows for compressible fluids and the Navier-Stokes equations for incompressible viscous fluids.
Due to the enormous progress in computer technology and numerical methods
that have been achieved in recent years, the use of numerical simulation methods
in industry gains more and more importance. In particular, this applies
to all engineering disciplines. Numerical computations in many cases offer a
cost effective and, therefore, very attractive possibility for the investigation
and optimization of products and processes.
Chương 2 - Giải phương trình đại số phi tuyến. Những nội dungc hính trong chương này gồm: Phương pháp khoanh vùng (Bracketing interval), phương pháp phi đạo hàm (Methods without derivatives), phương pháp đạo hàm (Methods with derivatives).
This book presents and develops major numerical methods currently used for solving
problems arising in quantitative finance. Our presentation splits into two parts.
Part I is methodological, and offers a comprehensive toolkit on numerical methods
and algorithms. This includes Monte Carlo simulation, numerical schemes for
partial differential equations, stochastic optimization in discrete time, copula functions,
transform-based methods and quadrature techniques.
Part II is practical, and features a number of self-contained cases.