Elements of the random walk : an introduction for advanced students and researchers / Joseph Rudnick, George Gaspari.

By:

Rudnick, Joseph Alan, 1944-

Contributor(s):

Gaspari, George David

Material type: Text

TextPublication details: Cambridge ; New York : Cambridge University Press, 2004.Description: 1 online resource (xv, 329 pages) : illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9780511648137
0511648138
9780511610912
0511610912
1107147670
9781107147676
1282394770
9781282394773
9786612394775
6612394773
0511644353
9780511644351
0511566492
9780511566493
9780521535830
0521535832

Subject(s):

Genre/Form:

Additional physical formats: Print version:: Elements of the random walk.DDC classification:

519.2/82 22

LOC classification:

QA274.73 .R84 2004eb

Other classification:

31.12
31.70

Online resources:

Click here to access online

Contents:

Introduction to techniques -- Generating functions I -- Generating functions II : recurrence, sites visited, and the role of dimensionality -- Boundary conditions, steady state, and the electrostatic analogy -- Variations on the random walk -- The shape of a random walk -- Path integrals and self-avoidance -- Properties of the random walk : introduction to scaling -- Scaling of walks and critical phenomena -- Walks and the O(n) model : mean field theory and spin waves -- Scaling, fractals, and renormalization -- More on the renormalization group.

Summary: Random walks have proven to be a useful model in understanding processes across a wide spectrum of scientific disciplines. This self-contained text will appeal to graduate students who need to understand the applications of random walk techniques, as well as to established researchers.

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Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books EBSCO			Available

Includes bibliographical references (pages 323-325) and index.

Random walks have proven to be a useful model in understanding processes across a wide spectrum of scientific disciplines. This self-contained text will appeal to graduate students who need to understand the applications of random walk techniques, as well as to established researchers.