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 #  AuthorTitleAccn#YearItem Type Claims
1 Edward L. Robinson Data analysis for scientists and engineers 026580 2016 Book  
2 Hiroshi Sugita Probability and random number: A First Guide to Randomness 026255 2014 Book  
3 James Gubernatis Quantum Monte Carlo methods: Algorithms for Lattice Models 026078 2016 Book  
4 Benjamin A. Stickler Basic concepts in computational physics 025520 2014 Book  
5 GENTLE, JAMES E Random number generation and monte carlo methods 020341 2005 Book  
6 J.M. Hammersley Monte Carlo methods 007994 1964 Book  
7 Malvin H. Kalos Monte Carlo methods. Vol. 1: Basics 003932 1986 Book  
8 Siegmund Brandt Data analysis : Statistical and computational methods for scientists and engineers 016815 1999 Book  
9 D.C. Khandekar Path-Integral methods and their applications 016713 1993 Book  
10 Gennadii A. Mikhailov Optimization of weighted Monte Carlo methods 007569 1992 Book  
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TitleData analysis for scientists and engineers
Author(s)Edward L. Robinson
PublicationNew Jersey, Princeton University Press, 2016.
Descriptionxiii, 393p.
Abstract Note Hardcover Price: $75.00 / £62.00 ISBN: Published: 10/04/2016 Copyright: 2017 Pages: 408 Size: 8 x 10 in. Illus: 96 line illus. 7 tables. ebook Price: $75.00 / £62.00 ISBN: Published: 10/04/2016 Copyright: 2017 Pages: 408 Size: 8 x 10 in. Illus: 96 line illus. 7 tables. Buy This Request Exam Copy Download Cover Overview Author(s) Reviews 2 Supplementary Materials Data Analysis for Scientists and Engineers is a modern, graduate-level text on data analysis techniques for physical science and engineering students as well as working scientists and engineers. Edward Robinson emphasizes the principles behind various techniques so that practitioners can adapt them to their own problems, or develop new techniques when necessary. Robinson divides the book into three sections. The first section covers basic concepts in probability and includes a chapter on Monte Carlo methods with an extended discussion of Markov chain Monte Carlo sampling. The second section introduces statistics and then develops tools for fitting models to data, comparing and contrasting techniques from both frequentist and Bayesian perspectives. The final section is devoted to methods for analyzing sequences of data, such as correlation functions, periodograms, and image reconstruction. While it goes beyond elementary statistics, the text is self-contained and accessible to readers from a wide variety of backgrounds. Specialized mathematical topics are included in an appendix.
ISBN,Price9780691169927 : $ 75.00(HB)
Classification519.22/.25
Keyword(s)1. ANALYSIS OF SEQUENCES 2. BAYESIAN STATISTICS 3. FOURIER ANALYSIS 4. LEAST SQUARES ESTIMATION 5. MONTE CARLO METHODS 6. PROBABILITY
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026580   519.22/.25/ROB/026580  On Shelf    

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TitleProbability and random number: A First Guide to Randomness
Author(s)Hiroshi Sugita
PublicationSingapore, World Scientific, 2014.
Descriptionxi, 125p
Abstract NoteThis is a book of elementary probability theory that includes a chapter on algorithmic randomness. It rigorously presents definitions and theorems in computation theory, and explains the meanings of the theorems by comparing them with mechanisms of the computer, which is very effective in the current computer age. Random number topics have not been treated by any books on probability theory, only some books on computation theory. However, the notion of random number is necessary for understanding the essential relation between probability and randomness. The field of probability has changed very much, thus this book will make and leave a big impact even to expert probabilists. Readers from applied sciences will benefit from this book because it presents a very proper foundation of the Monte Carlo method with practical solutions, keeping the technical level no higher than 1st year university calculus.
ISBN,Price9789813228252 : 48.00
Classification519.21
Keyword(s)1. COMPUTATION THEORY 2. MONTE CARLO METHODS 3. PROBABILITY THEORY 4. RANDOM NUMBERS 5. RANDOMNESS
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026255   519.21/SUG/026255  On Shelf    

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TitleQuantum Monte Carlo methods: Algorithms for Lattice Models
Author(s)James Gubernatis;Naoki Kawashima;Philipp Werner
PublicationCambridge, Cambridge University Press, 2016.
Descriptionxiii, 487p.
Abstract NoteFeaturing detailed explanations of the major algorithms used in quantum Monte Carlo simulations, this is the first textbook of its kind to provide a pedagogical overview of the field and its applications. The book provides a comprehensive introduction to the Monte Carlo method, its use, and its foundations, and examines algorithms for the simulation of quantum many-body lattice problems at finite and zero temperature. These algorithms include continuous-time loop and cluster algorithms for quantum spins, determinant methods for simulating fermions, power methods for computing ground and excited states, and the variational Monte Carlo method. Also discussed are continuous-time algorithms for quantum impurity models and their use within dynamical mean-field theory, along with algorithms for analytically continuing imaginary-time quantum Monte Carlo data. The parallelization of Monte Carlo simulations is also addressed. This is an essential resource for graduate students, teachers, and researchers interested in quantum Monte Carlo techniques.
ISBN,Price9781107006423 : 49.99(HB)
Classification519.245:530.145
Keyword(s)1. EBOOK 2. EBOOK - CAMBRIDGE UNIVERSITY PRESS 3. MANY-BODY PROBLEM 4. MONTE CARLO METHODS 5. MONTE CARLO SIMULATIONS 6. QUANTUM MONTE CARLO METHODS
Item TypeBook
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Accession#  Call#StatusIssued ToReturn Due On Physical Location
026078   519.245:530.145/UB/026078  On Shelf    
OB0865   519.245:530.145/GUB/  On Shelf    

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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
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025520   53:681.3/STI/025520  On Shelf    

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TitleRandom number generation and monte carlo methods
Author(s)James E. Gentle
Edition2nd
PublicationNew York, Springer, 2005.
Description381p.
Series(Statistics and computing)
ISBN,Price0387001786 : EURO 79.95
Classification519.876.5/.245
Keyword(s)1. MONTE CARLO METHODS 2. RANDOM NUMBERS 3. RESAMPLING 4. SIMULATION
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Accession#  Call#StatusIssued ToReturn Due On Physical Location
020341   519.876.5/.245./GEN/020341  On Shelf    

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TitleMonte Carlo methods
Author(s)J.M. Hammersley;D.C. Haudscomb
PublicationLondon, Chapman and Hall, 1964.
Descriptionvii,178pp.
Classification519.245
Keyword(s)MONTE CARLO METHODS
Item TypeBook

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Accession#  Call#StatusIssued ToReturn Due On Physical Location
007994   519.245/HAM/007994  On Shelf    

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TitleMonte Carlo methods. Vol. 1: Basics
Author(s)Malvin H. Kalos;Paula A. Whitlock
PublicationNew York, John Wiley and Sons, 1986.
Description186pp.
Classification519.245
Keyword(s)MONTE CARLO METHODS
Item TypeBook

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Accession#  Call#StatusIssued ToReturn Due On Physical Location
003932   519.245/KAL/003932  On Shelf    

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TitleData analysis : Statistical and computational methods for scientists and engineers
Author(s)Siegmund Brandt;Glen Cowan (tr.)
Edition4th ed. Acc# 025885; 3rd ed. Acc# 016815
PublicationNew York, Springer-Verlag, 1999.
Descriptionxxxiv, 652p.
ISBN,Price0-387-98498-4
Classification519.22/.6
Keyword(s)1. CD-ROM 2. COMPUTATIONAL METHODS DATA ANALYSIS 3. DATA ANALYSIS 4. MATHEMATICAL STATISTICS 5. MONTE CARLO METHODS 6. PROBABILITY 7. STATISTICAL HYPOTHESIS
Item TypeBook
Multi-Media Links
Please Click Here for the Online Book
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Accession#  Call#StatusIssued ToReturn Due On Physical Location
016815   519.22/.6/BRA/016815  On Shelf    
025885   519.22/.6/BRA/025885  On Shelf    

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TitlePath-Integral methods and their applications
Author(s)D.C. Khandekar;S.V. Lawande;K.V. Bhagwat
PublicationSingapore, World Scientific Publishing Co. Pvt. Ltd., 1993.
Descriptionxiii, 343p.
ISBN,Price981-02-0563-5
Classification530.145
Keyword(s)1. CONOTRAINED PATH INTEGRALS 2. FEYNMAN PATH INTEGRALS 3. LOCAL QUADRATIC LAGRANGIAN 4. MONTE CARLO METHODS 5. PATH INTEGRALS 6. QUADRATIC LAGRANGIAN (NON-LOCAL)
Item TypeBook

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016713   530.145/KHA/016713  On Shelf    

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TitleOptimization of weighted Monte Carlo methods
Author(s)Gennadii A. Mikhailov
PublicationBerlin, Springer-Verlag, 1992.
Description225pp.
Series(Springer series in computational physics.)
Classification519.245
Keyword(s)MONTE CARLO METHODS
Item TypeBook
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Please Click Here for the Online Book
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Accession#  Call#StatusIssued ToReturn Due On Physical Location
007569   519.245/MIK/007569  On Shelf    

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