Computer Algebra in Scientific Computing by Andreas Weber

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About this book :-
This text is a book made up of research papers that show how math done by computers (called symbolic algebra) can help in science and engineering. Instead of just giving numbers, this kind of math keeps formulas in symbolic form, which helps scientists understand how things change when conditions or settings change. The book includes eight studies on topics like solving equations, working with polynomials (a type of math expression), and using symbolic math in areas like quantum computing. The book highlights the benefits of using symbolic expressions instead of just numerical results. Although scientific computing is very often associated with numeric computations, the use of computer algebra methods in scientific computing has obtained considerable attention in the last two decades. Computer algebra methods are especially suitable for parametric analysis of the key properties of systems arising in scientific computing. The expression-based computational answers generally provided by these methods are very appealing as they directly relate properties to parameters and speed up testing and tuning of mathematical models through all their possible behaviors. One chapter, co-authored by Weber, looks at using software components like CORBA to integrate symbolic algebra into scientific software. Overall, it’s aimed at researchers, developers, and engineers working at the intersection of symbolic math and scientific simulations.

Book Detail :-
This book has following details information.
Title: Computer Algebra in Scientific Computing by Andreas Weber by NA
Publisher: MDPI
Series: freeCompBooks
Year: 2019
Pages: 160
Type: PDF
Language: English
ISBN-10 #: 3039217305
ISBN-13 #: 978-3039217304
Country: Pakistan
License: N\A
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About Author :-
The author NA NA

Book Contents :-
conver the following topics.
1. Computer Algebra in Scientific Computing by Mohammadali Asadi, Alexander Brandt, Robert H. C. Moir and Marc Moreno 2. Maza Algorithms and Data Structures for Sparse Polynomial Arithmetic by Xiaojie Dou and Jin-San Cheng 3. A Heuristic Method for Certifying Isolated Zeros of Polynomial Systems by Mario Albert and Werner M. Seiler 4. Resolving Decompositions for Polynomial Modules by ValeryAntonov, Wilker Fernandes,Valery G. Romanovski and NatalieL.Shcheglova 5. First Integrals of the May–Leonard Asymmetric System by Erhan Guler ¨ and Omer 6. Dini-Type Helicoidal Hypersurfaces with Timelike Axis in Minkowski 4-Space E41 by Erhan G ¨uler, Omer Ki¸si and Christos Konaxis 7. Implicit Equations of the Henneberg-Type Minimal Surface in the Four-Dimensional Euclidean Space by Farnoosh Hajati, Ali Iranmanesh and Abolfazl Tehranian 8. A Characterization of Projective Special Unitary Group PSU(3,3) and Projective Special Linear Group PSL(3,3) by Maurice R. Kibler 9. Quantum Information: A Brief Overview and Some Mathematical Aspects

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