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Click the serial number on the left to view the details of the item. |
| # |
Author | Title | Accn# | Year | Item 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 |
James E. Gentle |
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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1.
  |
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| Title | Data analysis for scientists and engineers |
| Author(s) | Edward L. Robinson |
| Publication | New Jersey, Princeton University Press, 2016. |
| Description | xiii, 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.
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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,Price | 9780691169927 : $ 75.00(HB) |
| Classification | 519.22/.25
|
| Keyword(s) | 1. ANALYSIS OF SEQUENCES
2. BAYESIAN STATISTICS
3. FOURIER ANALYSIS
4. LEAST SQUARES ESTIMATION
5. MONTE CARLO METHODS
6. PROBABILITY
|
| Item Type | Book |
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| 026580 |
|
519.22/.25/ROB/026580 |
Issued |
MS26: Sourabh Magare |
15/May/2024 |
|
+Copy Specific Information |
2.
 |
|
| Title | Probability and random number: A First Guide to Randomness |
| Author(s) | Hiroshi Sugita |
| Publication | Singapore, World Scientific, 2014. |
| Description | xi, 125p |
| Abstract Note | This 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,Price | 9789813228252 : 48.00 |
| Classification | 519.21
|
| Keyword(s) | 1. COMPUTATION THEORY
2. MONTE CARLO METHODS
3. PROBABILITY THEORY
4. RANDOM NUMBERS
5. RANDOMNESS
|
| Item Type | Book |
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| 026255 |
|
519.21/SUG/026255 |
On Shelf |
|
|
|
+Copy Specific Information |
|
3.
|
|
| Title | Quantum Monte Carlo methods: Algorithms for Lattice Models |
| Author(s) | James Gubernatis;Naoki Kawashima;Philipp Werner |
| Publication | Cambridge, Cambridge University Press, 2016. |
| Description | xiii, 487p. |
| Abstract Note | Featuring 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,Price | 9781107006423 : 49.99(HB) |
| Classification | 519.245:530.145
|
| 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 Type | Book |
Multi-Media Links
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Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| 026078 |
|
519.245:530.145/UB/026078 |
On Shelf |
|
|
|
| OB0865 |
|
519.245:530.145/GUB/ |
On Shelf |
|
|
|
+Copy Specific Information | |