Maple By Example

Maple By Example

Maple by Example, Third Edition, is a reference/text with CD for beginning and experienced students, professional engineers, and other Maple users. This new edition has been updated to be compatible with the most recent release of the Maple software. Coverage includes built-in Maple commands used in courses and practices that involve calculus, linear algebra, business mathematics, ordinary and partial differential equations, numerical methods, graphics and more. The CD-ROM provides updated Maple input and all text from the book.

Maple By Example

Lectures on Numerical Mathematics

Lectures on Numerical Mathematics

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Lectures on Numerical Mathematics

Dynamics of Rods

Dynamics of Rods

The volume is devoted to the Dynamics of Rods. It is a sequel to ‘Statics of Rods’ by the same author. The main goal of the book is to present systematically theoretical fundamentals of the mechanics of rods as well as numerical methods used for practical purposes.

Dynamics of Rods

Library Data

Library Data

Numerical evidence is everywhere and how best to handle and leverage it is a growing concern in the academic world in general and the academic library world in particular. Libraries are not only storehouses and key contacts for library patrons in accessing numbers, but are also collectors and users of their own data, which is integral to the functioning of the library itself.

Library Data

Partial Differential Equations

Partial Differential Equations

This book collects papers mainly presented at the ‘International Conference on Partial Differential Equations: Theory, Control and Approximation’ (May 28 to June 1, 2012 in Shanghai) in honor of the scientific legacy of the exceptional mathematician Jacques-Louis Lions. The contributors are leading experts from all over the world, including members of the Academies of Sciences in France, the USA and China etc., and their papers cover key fields of research, e.g. partial differential equations, control theory and numerical analysis, that Jacques-Louis Lions created or contributed so much to establishing.

Partial Differential Equations

Computing with Hp-Adaptive Finite Elements, Volume 2

Computing with Hp-Adaptive Finite Elements, Volume 2

With a focus on 1D and 2D problems, the first volume of Computing with hp-ADAPTIVE FINITE ELEMENTS prepared readers for the concepts and logic governing 3D code and implementation. Taking the next step in hp technology, Volume II Frontiers: Three-Dimensional Elliptic and Maxwell Problems with Applications presents the theoretical foundations of the 3D hp algorithm and provides numerical results using the 3Dhp code developed by the authors and their colleagues.

Computing with Hp-Adaptive Finite Elements, Volume 2

Computational Methods in Engineering

Computational Methods in Engineering

Computational Methods in Engineering brings to light the numerous uses of numerical methods in engineering. It clearly explains the application of these methods mathematically and practically, emphasizing programming aspects when appropriate. By approaching the cross-disciplinary topic of numerical methods with a flexible approach, Computational Methods in Engineering encourages a well-rounded understanding of the subject.

Computational Methods in Engineering

Numerical particle-in-cell Methods

Numerical particle-in-cell Methods

Algorithms known as ‘particle’ methods, whose characteristic feature is the discretization technique when the set of discrete objects is introduced, which are model ‘particles’ considered as some mesh of moving nodes, are becoming more and more widespread in mathematical modelling. Until recently, particle methods have mainly been developed as an alternative to classical numerical methods for solving problems in some applied domains of physics and mathematics. As a result, no specialized monographs on this subject have been available.

Numerical particle-in-cell Methods

Python and HDF5

Python and HDF5

Gain hands-on experience with HDF5 for storing scientific data in Python. This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and share numerical datasets ranging in size from gigabytes to terabytes.,

Through real-world examples and practical exercises, you’ll explore topics such as scientific datasets, hierarchically organized groups, user-defined metadata, and interoperable files. Examples are applicable for users of both Python 2 and Python 3. If you’re familiar with the basics of Python data analysis, this is an ideal introduction to HDF5.

Python and HDF5