Series: Stochastic Modelling and Applied Probability,
Preliminary entry 100
2006, Approx. 300 p. 45 illus., 1 in colour., Hardcover
ISBN: 0-387-30679-X
Due: January 2007
About this book
The book covers a broad aspect of topics and applications in
simulation at a higher mathematical level than other recent texts
in the area. Its readership is intended for graduate students and
researchers from a broad variety of areas, in particular applied
probability, statistics, mathematical finance, operations
research, industrial engineering, electrical engineering and
other application areas. The book contains a large amount of
exercises and illustrations.
Table of contents
Introduction.- Basic Structures.- Output Analysis.- Steady-State
Simulation.- Markov Chain Monte Carlo Methods.- Variance
Reduction Methods.- Rare Event Simulation.- Gradient Estimation.-
Stochastic Optimization.- Stochastic Differential Equations.-
Gaussian Processes.- Levy Processes.- Selected Topics and
Extended Examples.- Appendix.- Bibliography.- Index.
Series: Texts in Applied Mathematics, Vol. 151
2007, Approx. 400 p., Hardcover
ISBN: 0-387-34159-5
Due: January 2007
About this textbook
This book distinguishes itself from the many other textbook on
the topic of linear algebra by including mathematical and
computational chapters along with examples and exercises with
Matlab. In recent years, the use of computers in many areas of
engineering and science has made it essential for students to get
training in numerical methods and computer programming.
Table of contents
Linear Algebra.-Matrix Reduction.-Solving Numerical Systems.-Introduction
to Algorithms.-Linear Systems.-Linear Systems.-Methods for
Solving Linear Systems.-Other methods for Iterative Systems.-Calculating
Vector Systems.-References. -Appendixes
Series: Statistics: A Series of Textbooks and Monographs
Volume: 188
ISBN: 1584886358
Publication Date: 6/13/2006
Number of Pages: 248
Explains various probability models and their applications with
many illustrative examples
Includes
Uses computational algorithms that have been tested for accuracy
Covers common and specialized distributions
Handbook of Statistical Distributions with Applications provides
quick and easy access to table values, important formulas, and
results of statistical distributions. It presents both common and
specialized probability distribution models and applications with
practical examples. It offers comprehensive coverage of plots of
probability density functions, methods of computing probability
and percentiles, algorithms for random number generation, and
inference, including point estimation, hypothesis tests, and
sample size determination. The author also offers a simple PC
calculator that computes table values and other statistics for
almost all probability distributions.
Table of Contents
Preliminaries. Discrete Distributions. Continuous Distributions.
Nonparametric Methods. Miscellaneous.
The Marcel Grossmann meetings were conceived to promote
theoretical understanding in the fields of physics, mathematics,
astronomy and astrophysics and to direct future technological,
observational, and experimental efforts. They review recent
developments in gravitation and general relativity, with major
emphasis on mathematical foundations and physical predictions.
Their main objective is to bring together scientists from diverse
backgrounds and their range of topics is broad, from more
abstract classical theory and quantum gravity and strings to more
concrete relativistic astrophysics observations and modeling.
This Tenth Marcel Grossmann Meeting was organized by an
international committee composed of D Blair, Y Choquet-Bruhat, D
Christodoulou, T Damour, J Ehlers, F Everitt, Fang Li Zhi, S
Hawking, Y Ne'eman, R Ruffini (chair), H Sato, R Sunyaev, and S
Weinberg and backed by an international coordinating committee of
about 135 members from scientific institutions representing 54
countries. The scientific program included 29 morning plenary
talks during 6 days, and 57 parallel sessions over five
afternoons, during which roughly 500 papers were presented.
These three volumes of the proceedings of MG10 give a broad view
of all aspects of gravitation, from mathematical issues to recent
observations and experiments.
Contents:
The Initial Value Problem Using Metric and Extrinsic Curvature (J
W York Jr)
Mathematics, Physics and Ping-Pong (Y Ne'eman)
Thermal Decay of the Cosmological Constant into Black Holes (C
Teitelboim)
Structure Formation in the Universe by Exact Methods (A Krasinski
& C Hellaby)
Overview of D-brane Worlds in String Theory (A M Uranga)
Tachyons, D-brane Decay, and Closed Strings (B Zwiebach)
String Compactifications ? Old and New (A Dabholkar)
Covariant Quantization of the Superstring (N Berkovits)
Limiting Braneworlds with the Binary Pulsar (R Durrer & P
Kocian)
Cosmological Instabilities from Vector Perturbations in
Braneworlds (R Durrer et al.)
Principles of Affine Quantum Gravity (J R Klauder)
Developments in GRworkbench (A Moylan et al.)
Constants of Nature? (H B Sandvik)
Gravitational Wave Detection: A Survey of the Worldwide Program (J
Degallaix & D Blair)
Evidence for Coincident Events Between the Gravitational Wave
Detectors EXPLORER and NAUTILUS (G Pizzella)
The LIGO Gravitational Wave Observatories: Recent Results and
Future Plans (G M Harry et al.)
General Relativity in Space and Sensitive Tests of the
Equivalence Principle (C Lammerzahl)
Multiwavelength Afterglows of Gamma-Ray Bursts (E Pian)
Black Hole Physics and Astrophysics: The GRB-Supernova Connection
and URCA-1 ? URCA-2 (R Ruffini et al.)
Black Holes from the Dark Ages: Exploring the Reionization Era
and Early Structure Formation with Quasars and Gamma-Ray Bursts (S
G Djorgovski)
The Diagnostic Power of X-Ray Emission Lines in GRBs (M Bottcher)
The Collapsar and Supranova Models (C D Dermer)
Spectral Index and Quasi-Periodic Oscillation Frequency
Correlation in Black Hole (BH) Sources: Observational Evidence of
Two Phases and Phase Transition in BHs (L Titarchuck & R
Fiorito)
Extragalactic Jets: The High Energy View (F Tavecchio)
Observational Evidence for Intermediate-Mass Black Holes in Ultra-Luminous
X-Ray Sources (E J M Colbert & M C Miller)
Formation of Super-Massive Black Holes (W J Duschl & P A
Strittmatter)
Role of Disk Models in Identifying Astrophysical Black Holes (S K
Chakrabarti)
Clusters and Superclusters in the Sloan and Las Campanas Surveys
(J Einasto)
Black Hole Jet Sources (F Mirabel)
The Supermassive Black Hole at the Center of Our Galaxy (F Melia)
Binary-Pulsar Tests of Strong-Field Gravity and Gravitational
Radiation Damping (G Esposito-Farese)
Microlensing towards LMC and M31 (P Jetzer & S C Novati)
Frontiers in Cosmic Rays (L A Anchordoqui et al.)
Anisotropies in Ultrahigh Energy Cosmic Rays (J Swain)
The Stability of a Bouncing Universe (M Novello & J M Salim)
Theodor Kaluza and His Five-Dimensional World (D Wuensch)
Loop Quantum Cosmology and Boundary Proposals (M Bojowald & K
Vandersloot)
Update on Cosmic Microwave Background Physics (A Gangui)
Short-Range Non-Newtonian Gravity and Constraints on It (V
Mostepanenko)
and other papers
Readership: Graduate students in physics and physicists
interested in general relativity, gravitation, astrophysics,
quantum gravity, particle physics, cosmology and theoretical
physics.
2636pp Pub. date: Feb 2006
ISBN 981-256-667-8(set)
This important book reviews applications of optimization and
optimal control theory to modern problems in physics, nano-science
and finance. The theory presented here can be efficiently applied
to various problems, such as the determination of the optimal
shape of a laser pulse to induce certain excitations in quantum
systems, the optimal design of nanostructured materials and
devices, or the control of chaotic systems and minimization of
the forecast error for a given forecasting model (for example,
artificial neural networks). Starting from a brief review of the
history of variational calculus, the book discusses optimal
control theory and global optimization using modern numerical
techniques. Key elements of chaos theory and basics of fractional
derivatives, which are useful in control and forecast of complex
dynamical systems, are presented. The coverage includes several
interdisciplinary problems to demonstrate the efficiency of the
presented algorithms, and different methods of forecasting
complex dynamics are discussed.
Contents:
Analytical Methods in Control and Optimization
Numerical Optimization
Chaos in Complex Systems
Optimal Control of Quantum Systems
Optimal Control and Quantum Computing
Forecasting of Complex Dynamical Systems
Readership: Graduate students and researchers in optimal control,
numerical optimization and forecasting of complex systems.
212pp Pub. date: Mar 2006
ISBN 981-256-660-0