Ranging from introductory textbooks to compendiums of research, this collection of books represent the prolific writing and knowledge base within the core faculty in Oden Institute. These books are authored, co-authored, edited or co-edited by current Oden Institute core faculty, and are currently in print and offered for sale as new volumes. Available on www.amazon.com, they serve to advance computational science and engineering in a broad range of applications.

  • Additional Information

    Implicit surfaces offer special effects animators, graphic designers, CAD engineers, graphics students, and hobbyists a new range of capabilities for the modeling of complex geometric objects. In contrast to traditional parametric surfaces, implicit surfaces can easily describe smooth, intricate, and articulatable shapes. These powerful yet easily understood surfaces are finding use in a growing number of graphics applications. This comprehensive introduction develops the fundamental concepts and techniques of implicit surface modeling, rendering, and animating in terms accessible to anyone with a basic background in computer graphics. + provides a thorough overview of implicit surfaces with a focus on their applications in graphics + explains the best methods for designing, representing, and visualizing implicit surfaces + surveys the latest research With contributions from seven graphics authorities, this innovative guide establishes implicit surfaces as a powerful and practical tool for animation and rendering.

  • Abstract

    Implicit surfaces offer special effects animators, graphic designers, CAD engineers, graphics students, and hobbyists a new range of capabilities for the modeling of complex geometric objects. In contrast to traditional parametric surfaces, implicit surfaces can easily describe smooth, intricate, and articulatable shapes. These powerful yet easily understood surfaces are finding use in a growing number of graphics applications.

    This comprehensive introduction develops the fundamental concepts and techniques of implicit surface modeling, rendering, and animating in terms accessible to anyone with a basic background in computer graphics.

    • provides a thorough overview of implicit surfaces with a focus on their applications in graphics
    • explains the best methods for designing, representing, and visualizing implicit surfaces
    • surveys the latest research

    With contributions from seven graphics authorities, this innovative guide establishes implicit surfaces as a powerful and practical tool for animation and rendering.

  • Additional Information

    Proceedings of the Conference on Algebra and Algebraic Geometry with Applications, July 19 – 26, 2000, at Purdue University to honor Professor Shreeram S. Abhyankar on the occasion of his seventieth birthday. Eighty-five of Professor Abhyankar's students, collaborators, and colleagues were invited participants. Sixty participants presented papers related to Professor Abhyankar's broad areas of mathematical interest. Sessions were held on algebraic geometry, singularities, group theory, Galois theory, combinatorics, Drinfield modules, affine geometry, and the Jacobian problem. This volume offers an outstanding collection of papers by expert authors.

  • Abstract

    Proceedings of the Conference on Algebra and Algebraic Geometry with Applications, July 19 – 26, 2000, at Purdue University to honor Professor Shreeram S. Abhyankar on the occasion of his seventieth birthday. Eighty-five of Professor Abhyankar's students, collaborators, and colleagues were invited participants. Sixty participants presented papers related to Professor Abhyankar's broad areas of mathematical interest. Sessions were held on algebraic geometry, singularities, group theory, Galois theory, combinatorics, Drinfield modules, affine geometry, and the Jacobian problem. This volume offers an outstanding collection of papers by expert authors.

  • Additional Information

    Data visualization techniques are a means to manipulate sampled and computed data for comprehensive display. Visualized data can be static or in motion, to provide visual explanations of algorithms or general information. This book draws on examples from a broad selection of subject areas, such as atmospheric sciences or biology, which deal with diverse data analysis and visualization techniques. The various visualization methodologies covered in this book also include moving images as well as static. It is an important source of information for computer graphics software engineers, graduates and researchers who work in the field of visualization techniques. Unique features in this book include: Details of data visualization techniques for scalar, vector and tensor field data and accompanying data structures Explanation of how to express visual images in computational terms and turn these into display, with minimum delay Methodology for "probing" a displayed visualization, in order to elicit more detail Collection of information from several interrelated subject areas in one volume Trends in Software - edited by Balachander Krishnamurthy of AT&T Research - is a sister publication of the journal Software: Practice and Experience

  • Abstract

    Data visualization techniques are a means to manipulate sampled and computed data for comprehensive display. Visualized data can be static or in motion, to provide visual explanations of algorithms or general information. This book draws on examples from a broad selection of subject areas, such as atmospheric sciences or biology, which deal with diverse data analysis and visualization techniques. The various visualization methodologies covered in this book also include moving images as well as static. It is an important source of information for computer graphics software engineers, graduates and researchers who work in the field of visualization techniques. Unique features in this book include:

    Details of data visualization techniques for scalar, vector and tensor field data and accompanying data structures

    Explanation of how to express visual images in computational terms and turn these into display, with minimum delay

    Methodology for "probing" a displayed visualization, in order to elicit more detail

    Collection of information from several interrelated subject areas in one volume

    Trends in Software - edited by Balachander Krishnamurthy of AT&T Research - is a sister publication of the journal Software: Practice and Experience

  • Additional Information

    This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based approaches to solving inverse problems. The aim is to cross-fertilize the perspectives of researchers in the areas of data assimilation, statistics, large-scale optimization, applied and computational mathematics, high performance computing, and cutting-edge applications. The solution to large-scale inverse problems critically depends on methods to reduce computational cost. Recent research approaches tackle this challenge in a variety of different ways. Many of the computational frameworks highlighted in this book build upon state-of-the-art methods for simulation of the forward problem, such as, fast Partial Differential Equation (PDE) solvers, reduced-order models and emulators of the forward problem, stochastic spectral approximations, and ensemble-based approximations, as well as exploiting the machinery for large-scale deterministic optimization through adjoint and other sensitivity analysis methods. Key Features: - Brings together the perspectives of researchers in areas of inverse problems and data assimilation. - Assesses the current state-of-the-art and identify needs and opportunities for future research. - Focuses on the computational methods used to analyze and simulate inverse problems. - Written by leading experts of inverse problems and uncertainty quantification. Graduate students and researchers working in statistics, mathematics and engineering will benefit from this book.

  • Abstract

    This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based approaches to solving inverse problems. The aim is to cross-fertilize the perspectives of researchers in the areas of data assimilation, statistics, large-scale optimization, applied and computational mathematics, high performance computing, and cutting-edge applications.

    The solution to large-scale inverse problems critically depends on methods to reduce computational cost. Recent research approaches tackle this challenge in a variety of different ways. Many of the computational frameworks highlighted in this book build upon state-of-the-art methods for simulation of the forward problem, such as, fast Partial Differential Equation (PDE) solvers, reduced-order models and emulators of the forward problem, stochastic spectral approximations, and ensemble-based approximations, as well as exploiting the machinery for large-scale deterministic optimization through adjoint and other sensitivity analysis methods.

    Key Features:

    • Brings together the perspectives of researchers in areas of inverse problems and data assimilation.

    • Assesses the current state-of-the-art and identify needs and opportunities for future research.

    • Focuses on the computational methods used to analyze and simulate inverse problems.

    • Written by leading experts of inverse problems and uncertainty quantification.

    Graduate students and researchers working in statistics, mathematics and engineering will benefit from this book.

  • Additional Information

    This is a personal, innovative, and exciting view of the current status of the field of electronic materials. It provides a graduate-level introduction to new classes of electronic materials and indicates the most promising new avenues of theoretical and experimental investigation, capturing the challenge of the coming age of modern materials science. Researchers in the field of electronic materials will find here a general introduction to some of the most modern techniques of computer-assisted modeling and the most powerful experimental characterization tools. Nonspecialists will appreciate the broad survey and should find this book useful as a reference work.

  • Abstract

    This is a personal, innovative, and exciting view of the current status of the field of electronic materials. It provides a graduate-level introduction to new classes of electronic materials and indicates the most promising new avenues of theoretical and experimental investigation, capturing the challenge of the coming age of modern materials science. Researchers in the field of electronic materials will find here a general introduction to some of the most modern techniques of computer-assisted modeling and the most powerful experimental characterization tools. Nonspecialists will appreciate the broad survey and should find this book useful as a reference work.