語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Basic concepts in computational physics
~
Stickler, Benjamin A.
Basic concepts in computational physics
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Basic concepts in computational physics/ by Benjamin A. Stickler, Ewald Schachinger.
作者:
Stickler, Benjamin A.
其他作者:
Schachinger, Ewald.
出版者:
Cham :Springer International Publishing : : 2016.,
面頁冊數:
xvi, 409 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Physics - Data processing. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-27265-8
ISBN:
9783319272658
Basic concepts in computational physics
Stickler, Benjamin A.
Basic concepts in computational physics
[electronic resource] /by Benjamin A. Stickler, Ewald Schachinger. - 2nd ed. - Cham :Springer International Publishing :2016. - xvi, 409 p. :ill., digital ;24 cm.
Some Basic Remarks -- Part I Deterministic Methods -- Numerical Differentiation -- Numerical Integration -- The KEPLER Problem -- Ordinary Differential Equations - Initial Value Problems -- The Double Pendulum -- Molecular Dynamics -- Numerics of Ordinary Differential Equations - Boundary Value Problems -- The One-Dimensional Stationary Heat Equation -- The One-Dimensional Stationary SCHRODINGER Equation -- Partial Differential Equations -- Part II Stochastic Methods -- Pseudo Random Number Generators -- Random Sampling Methods -- A Brief Introduction to Monte-Carlo Methods -- The ISING Model -- Some Basics of Stochastic Processes -- The Random Walk and Diffusion Theory -- MARKOV-Chain Monte Carlo and the POTTS Model -- Data Analysis -- Stochastic Optimization -- Appendix: The Two-Body Problem -- Solving Non-Linear Equations. The NEWTON Method -- Numerical Solution of Systems of Equations -- Fast Fourier Transform -- Basics of Probability Theory -- Phase Transitions -- Fractional Integrals and Derivatives in 1D -- Least Squares Fit -- Deterministic Optimization.
This 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: 9783319272658
Standard No.: 10.1007/978-3-319-27265-8doiSubjects--Topical Terms:
595761
Physics
--Data processing.
LC Class. No.: QC52
Dewey Class. No.: 530.1
Basic concepts in computational physics
LDR
:03319nam a2200325 a 4500
001
863311
003
DE-He213
005
20160922161119.0
006
m d
007
cr nn 008maaau
008
170720s2016 gw s 0 eng d
020
$a
9783319272658
$q
(electronic bk.)
020
$a
9783319272634
$q
(paper)
024
7
$a
10.1007/978-3-319-27265-8
$2
doi
035
$a
978-3-319-27265-8
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QC52
072
7
$a
PHU
$2
bicssc
072
7
$a
SCI040000
$2
bisacsh
082
0 4
$a
530.1
$2
23
090
$a
QC52
$b
.S854 2016
100
1
$a
Stickler, Benjamin A.
$3
1023418
245
1 0
$a
Basic concepts in computational physics
$h
[electronic resource] /
$c
by Benjamin A. Stickler, Ewald Schachinger.
250
$a
2nd ed.
260
$a
Cham :
$c
2016.
$b
Springer International Publishing :
$b
Imprint: Springer,
300
$a
xvi, 409 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Some Basic Remarks -- Part I Deterministic Methods -- Numerical Differentiation -- Numerical Integration -- The KEPLER Problem -- Ordinary Differential Equations - Initial Value Problems -- The Double Pendulum -- Molecular Dynamics -- Numerics of Ordinary Differential Equations - Boundary Value Problems -- The One-Dimensional Stationary Heat Equation -- The One-Dimensional Stationary SCHRODINGER Equation -- Partial Differential Equations -- Part II Stochastic Methods -- Pseudo Random Number Generators -- Random Sampling Methods -- A Brief Introduction to Monte-Carlo Methods -- The ISING Model -- Some Basics of Stochastic Processes -- The Random Walk and Diffusion Theory -- MARKOV-Chain Monte Carlo and the POTTS Model -- Data Analysis -- Stochastic Optimization -- Appendix: The Two-Body Problem -- Solving Non-Linear Equations. The NEWTON Method -- Numerical Solution of Systems of Equations -- Fast Fourier Transform -- Basics of Probability Theory -- Phase Transitions -- Fractional Integrals and Derivatives in 1D -- Least Squares Fit -- Deterministic Optimization.
520
$a
This 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.
650
0
$a
Physics
$x
Data processing.
$3
595761
650
0
$a
Mathematical physics.
$3
527831
650
1 4
$a
Physics.
$3
564049
650
2 4
$a
Numerical and Computational Physics.
$3
768904
650
2 4
$a
Appl.Mathematics/Computational Methods of Engineering.
$3
669335
650
2 4
$a
Computational Mathematics and Numerical Analysis.
$3
669338
650
2 4
$a
Theoretical and Computational Chemistry.
$3
670313
700
1
$a
Schachinger, Ewald.
$3
1023419
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-27265-8
950
$a
Physics and Astronomy (Springer-11651)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入