Call for Manuscripts: Computational Science and Engineering

The Society for Industrial and Applied Mathematics (SIAM) is pleased to announce a new book series Computational Science and Engineering, edited by Omar Ghattas, John A. and Katherine G. Jackson Chair in Computational Geosciences at the University of Texas--Austin.

Computational Science and Engineering (CS&E) is now widely accepted, along with theory and experiment, as a crucial third mode of scientific investigation and engineering design. Scientific discoveries are regularly enabled by computer simulation. Aerospace, automotive, biological, chemical, electronic, energy, environmental, materials, pharmaceutical, and other industrial sectors now rely heavily on simulation of products and processes. For federal agencies also, CS&E has become an essential support for decisions on resources, transportation, and defense.

CS&E is by nature interdisciplinary. It builds on and specializes techniques and advances in applied mathematics and computer science to model engineered and natural systems of greater complexity, with greater fidelity and fewer assumptions, more rapidly. Advances in the understanding of such problems require the integration of sound physical insight and modeling, mathematical and numerical analysis, scientific computing and algorithms, hardware and software systems, and problem solving and visualization environments. Much of CS&E has involved deterministic analysis, but the future surely includes optimal design and control, inverse problems, data assimilation, and uncertainty estimation.

The SIAM series on Computational Science and Engineering will publish research monographs, advanced undergraduate- or graduate-level textbooks, and other volumes of interest to a wide segment of the community of computational scientists and engineers. They will include both introductory volumes aimed at mathematicians, scientists, engineers, computer scientists, and other mathematically motivated readers interested in understanding methods and applications within computational science and engineering, and monographs reporting on the most recent developments in the field. The series also will include volumes addressed to users of CS&E methods, by targeting specific groups of professionals whose work relies extensively on computational science and engineering.

SIAM is launching this series on CS&E to draw attention to the tremendous range of advances in computer modeling and simulation of complex problems in science and engineering, to promote the interdisciplinary culture required to meet these large-scale challenges, and to encourage the training of the next generation of computational scientists and engineers.

A partial list of possible topics for books in this series includes:

• Advanced discretization methods
• Computational biology and bioinformatics
• Computational chemistry and chemical engineering
• Computational earth and atmospheric sciences
• Computational electromagnetics
• Computational fluid dynamics
• Computational medicine and bioengineering
• Computational physics and astrophysics
• Computational solid mechanics and materials
• Coupled multiphysics problems
• CS&E education
• Discrete and combinatorial algorithms for CS&E
• Inverse problems and data assimilation
• Meshing and adaptivity
• Multiscale methods and models
• Numerical algorithms for CS&E
• Optimal design and optimal control
• Parallel and distributed computing
• Problem-solving environments
• Scientific visualization
• Sensitivity analysis
• Software and middleware systems for CS&E
• Uncertainty quantification and stochastic methods

Omar Ghattas (Editor-in-Chief)
Institute for Computational Engineering and Sciences
Unversity of Texas--Austin
1 University Station, CO200
Austin, TX 78712 USA
telephone: (512) 232-4304
fax: (512) 471-8694
omar@ices.utexas.edu

or

Elizabeth Greenspan
Acquisitions Editor
SIAM
3600 Market Street 6th Floor
Philadelphia, PA 19104 USA
telephone: (215) 382-9800 x 371
fax: (215) 386-7999
e-mail: greenspan@siam.org