Oberkampf William (44 results)

Wraps. Presumed first edition/first printing. 164 p. Figures. Glossary. References. The authors were associated with Applied Biomathematics of Setauket, New York. This report addresses the characterization of measurements that include epistemic uncertaintites in the form of intervals. It reviews the application of basic descriptive statistics to data sets which contain intervals rather than exclusively point estimates. It describes algorithms to compute various means, the median and other percentiles, variance, interquartile range, moments, confidence limites, and other important statisitics and summarizes the computability of these statistics as a function of sample size and characteristics of the intervals in the data. The report explores the tradeoff between measurement precision and sample size in statistical results that are sensitive to both. Very good. Cover has slight wear and soiling.

Condition: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. hardcover Used - Acceptable 2025.

hardcover. Condition: Good. The copy shows external wear, but is in otherwise clean condition.

hardcover. Condition: Acceptable. Significant damage to cover/spine/binding. Pages are clean. Cover has some tearing/chipping/creasing. Binding has separation from spine.

hardcover. Condition: Fine.

hardcover. Condition: Very Good.

Condition: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail.

Condition: acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may be missing bundled media.

Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1750grams, ISBN:9780521113601.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. In.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. 2nd edition NO-PA16APR2015-KAP.

hardcover. Condition: New. In shrink wrap. Looks like an interesting title!

Condition: New.

Hardcover. Condition: Brand New. 2nd edition. 850 pages. 10.00x7.01x0.50 inches. In Stock.

Wraps. Condition: Good. Presumed First Edition, First printing. 153, [3] pages. Illustrations. Symbols. Glossary. References. Cover has some wear, soiling, and corner stain to cover and some pages. Scott Ferson is Chair of Uncertainty at the University of Liverpool, School of Engineering, in the Institute for Risk and Uncertainty. He was for many years previously senior scientist at Applied Biomathematics, a research firm on Long Island in New York. He holds a Ph.D. in ecology and evolution from Stony Brook University and an A.B. in biology from Wabash College. He has over 100 peer-reviewed papers and 5 books on risk analysis and related topics. For over twenty years, he has directed methodological research in risk and uncertainty analysis. His recent research work, funded primarily by NIH, NASA and Sandia National Laboratories, has focused on developing methods and software to solve quantitative assessment problems when data are poor or lacking and structural knowledge about the model is severely limited. He has served on many expert panels called by government agencies in the United States and elsewhere. This report summarized methods used to incorporate information about inter-variable dependence into risk assessments that use Dempster-Shafer theory or probability bounds analysis to address epistemic and aleatory uncertainty. The report reviews techniques for simulating correlated variates for a given correlation measure and dependence model, computation of bounds on distribution functions under a specified dependence model, formulation of parametric and empirical dependence models, and bounding approaches that can be used when information about the inter-variable dependence is incomplete. The report also reviews several o f the most pervasive and dangerous myths among risk analysts about dependence in probabilistic models.The Sandia National Laboratories (SNL), managed and operated by the National Technology and Engineering Solutions of Sandia (a wholly owned subsidiary of Honeywell International), is one of three National Nuclear Security Administration research and development laboratories. In December 2016, it was announced that National Technology and Engineering Solutions of Sandia, under the direction of Honeywell International, will take over the management of Sandia National Laboratories starting on May 1, 2017. Their primary mission is to develop, engineer, and test the non-nuclear components of nuclear weapons. The primary campus is located on Kirtland Air Force Base in Albuquerque, New Mexico and the other is in Livermore, California, next to Lawrence Livermore National Laboratory. It is Sandia's mission to maintain the reliability and surety of nuclear weapon systems, conduct research and development in arms control and nonproliferation technologies, and investigate methods for the disposal of the United States' nuclear weapons program's hazardous waste. Other missions include research and development in energy and environmental programs, as well as the surety of critical national infrastructures. In addition, Sandia is home to a wide variety of research including computational biology, mathematics (through its Computer Science Research Institute), materials science, alternative energy, psychology, MEMS, and cognitive science initiatives. Sandia formerly hosted ASCI Red, one of the world's fastest supercomputers until its recent decommission, and now hosts ASCI Red Storm, originally known as Thor's Hammer. Sandia is also home to the Z Machine. The Z Machine is the largest X-ray generator in the world and is designed to test materials in conditions of extreme temperature and pressure. It is operated by Sandia National Laboratories to gather data to aid in computer modeling of nuclear weapons.

Condition: New. pp. 790.

Hardcover. Condition: New.

Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Wraps. Presumed first edition/first printing. Includes illustrations. Various paginations, approximately 200 pages. References. Figures. Tables. Relationships to determine the probability that a weak link (WL) strong link (SL) safety system will fail to function as intended in a fire environment are investigated. From Wikipedia: "A strong link/weak link and exclusion zone nuclear detonation mechanism is a type of safety mechanism employed in the arming and firing mechanisms of modern nuclear weapons. The safety mechanism starts by enclosing the electronics and mechanical components used to arm and fire the nuclear weapon with a mechanical and electrical isolation barrier, forming the exclusion zone. This is insulated from mechanical, thermal, and electrical disruptions (such as static electricity, lightning, fire). Between the exclusion zone and the actual detonators, a normally disconnected link mechanism is used, such as a switch which has a built in motor to activate it. The arming system has to activate the switch in order to connect the firing circuits to the detonators in the weapon. This disconnection, which requires the arming mechanism to operate, is called the strong link. As a safety mechanism, a weak link is also built into the system. This is a set of components designed to fail at lower stresses (thermal, mechanical, and electrical) than will cause failure of the strong link mechanisms. These mechanisms do not prevent misuse of the weapon, or an accident from physically causing initiation of the explosives or detonators directly from extremely high temperatures, impact forces, or electrical disturbance such as lightning." Very good. No dust jacket. Cover has slight wear and soiling.

hardcover. Condition: LikeNew. Used Like New, no missing pages, no damage to binding, may have a remainder mark.

LeatherBound. Condition: New. BOOKS ARE EXEMPT FROM IMPORT DUTIES AND TARIFFS; NO EXTRA CHARGES APPLY. Leatherbound edition. Condition: New. Leather Binding on Spine and Corners with Golden leaf printing on spine. Bound in genuine leather with Satin ribbon page markers and Spine with raised gilt bands. Pages: 304. A perfect gift for your loved ones. Reprinted from 1978 edition. NO changes have been made to the original text. This is NOT a retyped or an ocr'd reprint. Illustrations, Index, if any, are included in black and white. Each page is checked manually before printing. As this print on demand book is reprinted from a very old book, there could be some missing or flawed pages, but we always try to make the book as complete as possible. Fold-outs, if any, are not part of the book. If the original book was published in multiple volumes then this reprint is of only one volume, not the whole set. IF YOU WISH TO ORDER PARTICULAR VOLUME OR ALL THE VOLUMES YOU CAN CONTACT US. Resized as per current standards. Sewing binding for longer life, where the book block is actually sewn (smythe sewn/section sewn) with thread before binding which results in a more durable type of binding. Language: English Pages: 304.

paperback. Condition: New. Paperback. Pub Date: 2016-08-01 Pages: 572 Language: Chinese Publisher: The Yellow River Conservancy Press. Validation and Validation in Scientific Computing. describes the basic concepts. principles. and procedures used to validate and validate models and simulations. The models described using partial differential and integral equations and the simulated values ??derived from their numerical solutions are highlighted. many.

Hardcover. Condition: new. Hardcover. Can you trust results from modeling and simulation? This text provides a framework for assessing the reliability of and uncertainty included in the results used by decision makers and policy makers in industry and government. The emphasis is on models described by PDEs and their numerical solution. Procedures and results from all aspects of verification and validation are integrated with modern methods in uncertainty quantification and stochastic simulation. Methods for combining numerical approximation errors, uncertainty in model input parameters, and model form uncertainty are presented in order to estimate the uncertain response of a system in the presence of stochastic inputs and lack of knowledge uncertainty. This new edition has been extensively updated, including a fresh look at model accuracy assessment and the responsibilities of management for modeling and simulation activities. Extra homework problems and worked examples have been added to each chapter, suitable for course use or self-study. This updated edition provides a framework for assessing the reliability and uncertainty of modeling and simulation results used in industry and government. With extra worked examples and homework problems for graduate students, and new material on topics including model accuracy assessment and management responsibilities for modeling activities. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: Brand New. 2nd edition. 850 pages. 10.00x7.01x0.50 inches. In Stock. This item is printed on demand.