This book presents the basis for reusing the test vector generation and simulation for the purpose of implementation verification, to result in a significant timesaving. It brings the results in the direction of merging manufacturing test vector generation and verification.
Functional Design Verification for Microprocessors by Error Modeling
Mathematical modeling of atmospheric composition is a formidable scientific and computational challenge. This comprehensive presentation of the modeling methods used in atmospheric chemistry focuses on both theory and practice, from the fundamental principles behind models, through to their applications in interpreting observations. An encyclopaedic coverage of methods used in atmospheric modeling, including their advantages and disadvantages, makes this a one-stop resource with a large scope. Particular emphasis is given to the mathematical formulation of chemical, radiative, and aerosol processes; advection and turbulent transport; emission and deposition processes; as well as major chapters on model evaluation and inverse modeling. The modeling of atmospheric chemistry is an intrinsically interdisciplinary endeavour, bringing together meteorology, radiative transfer, physical chemistry and biogeochemistry, making the book of value to a broad readership. Introductory chapters and a review of the relevant mathematics make this book instantly accessible to graduate students and researchers in the atmospheric sciences.
Papers from the April 1996 symposium address traditional simulation topics in discrete-event, continuous, digital, and analog simulation, and explore areas of distributed systems, network modeling, and simulation, as well as advances in simulation methodology and practices. Topics include parallel a