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1 Stickler, Benjamin A Basic Concepts in Computational Physics I10279 2016 eBook  
2 A. Stickler, Benjamin Basic Concepts in Computational Physics I08517 2014 eBook  
3 Benjamin A. Stickler Basic concepts in computational physics 025520 2014 Book  
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1.    
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TitleBasic Concepts in Computational Physics
Author(s)Stickler, Benjamin A;Schachinger, Ewald
PublicationCham, Springer International Publishing, 2016.
DescriptionXVI, 409 p : online resource
Abstract NoteThis new edition is a concise introduction to the basic methods of computational physics. Readers will discover the benefits of numerical methods for solving complex mathematical problems and for the direct simulation of physical processes. The book is divided into two main parts: Deterministic methods and stochastic methods in computational physics. Based on concrete problems, the first part discusses numerical differentiation and integration, as well as the treatment of ordinary differential equations. This is extended by a brief introduction to the numerics of partial differential equations. The second part deals with the generation of random numbers, summarizes the basics of stochastics, and subsequently introduces Monte-Carlo (MC) methods. Specific emphasis is on MARKOV chain MC algorithms. The final two chapters discuss data analysis and stochastic optimization. All this is again motivated and augmented by applications from physics. In addition, the book offers a number of appendices to provide the reader with information on topics not discussed in the main text. Numerous problems with worked-out solutions, chapter introductions and summaries, together with a clear and application-oriented style support the reader. Ready to use C++ codes are provided online
ISBN,Price9783319272658
Keyword(s)1. APPLIED MATHEMATICS 2. Chemistry, Physical and theoretical 3. Computational Mathematics and Numerical Analysis 4. Computer mathematics 5. EBOOK 6. EBOOK - SPRINGER 7. ENGINEERING MATHEMATICS 8. Mathematical and Computational Engineering 9. Numerical and Computational Physics, Simulation 10. PHYSICS 11. Theoretical and Computational Chemistry
Item TypeeBook
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Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I10279     On Shelf    

2.     
No image available
TitleBasic Concepts in Computational Physics
Author(s)A. Stickler, Benjamin;Schachinger, Ewald
PublicationCham, Springer International Publishing, 2014.
DescriptionXVII, 377 p. 95 illus : online resource
Abstract NoteWith the development of ever more powerful computers a new branch of physics and engineering evolved over the last few decades: Computer Simulation or Computational Physics. It serves two main purposes: - Solution of complex mathematical problems such as, differential equations, minimization/optimization, or high-dimensional sums/integrals. - Direct simulation of physical processes, as for instance, molecular dynamics or Monte-Carlo simulation of physical/chemical/technical processes. Consequently, the book is divided into two main parts: Deterministic methods and stochastic methods. Based on concrete problems, the first part discusses numerical differentiation and integration, and the treatment of ordinary differential equations. This is augmented by notes on the numerics of partial differential equations. The second part discusses the generation of random numbers, summarizes the basics of stochastics which is then followed by the introduction of various Monte-Carlo (MC) methods. Specific emphasis is on MARKOV chain MC algorithms. All this is again augmented by numerous applications from physics. The final two chapters on Data Analysis and Stochastic Optimization share the two main topics as a common denominator. The book offers a number of appendices to provide the reader with more detailed information on various topics discussed in the main part. Nevertheless, the reader should be familiar with the most important concepts of statistics and probability theory albeit two appendices have been dedicated to provide a rudimentary discussion
ISBN,Price9783319024356
Keyword(s)1. APPLIED MATHEMATICS 2. Chemistry, Physical and theoretical 3. COMPLEX SYSTEMS 4. Computational Mathematics and Numerical Analysis 5. Computer mathematics 6. DYNAMICAL SYSTEMS 7. EBOOK 8. EBOOK - SPRINGER 9. ENGINEERING MATHEMATICS 10. Mathematical and Computational Engineering 11. Numerical and Computational Physics, Simulation 12. PHYSICS 13. STATISTICAL PHYSICS 14. Statistical Physics and Dynamical Systems 15. Theoretical and Computational Chemistry
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I08517     On Shelf    

3.    
No image available
TitleBasic concepts in computational physics
Author(s)Benjamin A. Stickler;Ewald Schachinger
PublicationHeidelberg, Springer, 2014.
Descriptionxvii, 377p.
Abstract Notebook is divided into two main parts: Deterministic methods and stochastic methods. Based on concrete problems, the first part discusses numerical differentiation and integration, and the treatment of ordinary differential equations. This is augmented by notes on the numerics of partial differential equations. The second part discusses the generation of random numbers, summarizes the basics of stochastics which is then followed by the introduction of various Monte-Carlo (MC) methods. Specific emphasis is on MARKOV chain MC algorithms. All this is again augmented by numerous applications from physics. The final two chapters on Data Analysis and Stochastic Optimization share the two main topics as a common denominator. The book offers a number of appendices to provide the reader with more detailed information on various topics discussed in the main part. Nevertheless, the reader should be familiar with the most important concepts of statistics and probability theory albeit two appendices have been dedicated to provide a rudimentary discussion
ISBN,Price9783319024349 : Euro 44.99(HB)
Classification53:681.3
Keyword(s)1. COMPUTATIONAL PHYSICS 2. DETERMINISTIC METHODS OF COMPUTATIONAL PHYSICS 3. MONTE CARLO METHODS 4. PARTIAL DIFFERENTIAL EQUATIONS 5. STOCHASTIC METHODS OF COMPUTATIONAL PHYSICS 6. STOCHASTIC OPTIMIZATION
Item TypeBook

Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
025520   53:681.3/STI/025520  On Shelf    

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