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| Author | : Ramon E. Moore |
| Publisher | : SIAM |
| Total Pages | : 136 |
| Release | : 1979-01-01 |
| Genre | : Mathematics |
| ISBN | : 0898711614 |
Mathematics of Computing -- Numerical Analysis.
| Author | : A. Neumaier |
| Publisher | : Cambridge University Press |
| Total Pages | : 275 |
| Release | : 1990 |
| Genre | : Mathematics |
| ISBN | : 052133196X |
Mathematics of Computing -- Numerical Analysis.
| Author | : Ramon E. Moore |
| Publisher | : SIAM |
| Total Pages | : 223 |
| Release | : 2009-01-01 |
| Genre | : Mathematics |
| ISBN | : 089871771X |
An update on the author's previous books, this introduction to interval analysis provides an introduction to INTLAB, a high-quality, comprehensive MATLAB toolbox for interval computations, making this the first interval analysis book that does with INTLAB what general numerical analysis texts do with MATLAB.
| Author | : Luc Jaulin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 382 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1447102495 |
At the core of many engineering problems is the solution of sets of equa tions and inequalities, and the optimization of cost functions. Unfortunately, except in special cases, such as when a set of equations is linear in its un knowns or when a convex cost function has to be minimized under convex constraints, the results obtained by conventional numerical methods are only local and cannot be guaranteed. This means, for example, that the actual global minimum of a cost function may not be reached, or that some global minimizers of this cost function may escape detection. By contrast, interval analysis makes it possible to obtain guaranteed approximations of the set of all the actual solutions of the problem being considered. This, together with the lack of books presenting interval techniques in such a way that they could become part of any engineering numerical tool kit, motivated the writing of this book. The adventure started in 1991 with the preparation by Luc Jaulin of his PhD thesis, under Eric Walter's supervision. It continued with their joint supervision of Olivier Didrit's and Michel Kieffer's PhD theses. More than two years ago, when we presented our book project to Springer, we naively thought that redaction would be a simple matter, given what had already been achieved . . .
| Author | : R.E. Moore |
| Publisher | : |
| Total Pages | : 0 |
| Release | : |
| Genre | : |
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| Author | : Eldon Hansen |
| Publisher | : CRC Press |
| Total Pages | : 528 |
| Release | : 2003-12-19 |
| Genre | : Mathematics |
| ISBN | : 9780203026922 |
Employing a closed set-theoretic foundation for interval computations, Global Optimization Using Interval Analysis simplifies algorithm construction and increases generality of interval arithmetic. This Second Edition contains an up-to-date discussion of interval methods for solving systems of nonlinear equations and global optimization problems. It expands and improves various aspects of its forerunner and features significant new discussions, such as those on the use of consistency methods to enhance algorithm performance. Provided algorithms are guaranteed to find and bound all solutions to these problems despite bounded errors in data, in approximations, and from use of rounded arithmetic.
| Author | : R. Baker Kearfott |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 435 |
| Release | : 2013-12-01 |
| Genre | : Mathematics |
| ISBN | : 1461334403 |
Primary Audience for the Book • Specialists in numerical computations who are interested in algorithms with automatic result verification. • Engineers, scientists, and practitioners who desire results with automatic verification and who would therefore benefit from the experience of suc cessful applications. • Students in applied mathematics and computer science who want to learn these methods. Goal Of the Book This book contains surveys of applications of interval computations, i. e. , appli cations of numerical methods with automatic result verification, that were pre sented at an international workshop on the subject in EI Paso, Texas, February 23-25, 1995. The purpose of this book is to disseminate detailed and surveyed information about existing and potential applications of this new growing field. Brief Description of the Papers At the most fundamental level, interval arithmetic operations work with sets: The result of a single arithmetic operation is the set of all possible results as the operands range over the domain. For example, [0. 9,1. 1] + [2. 9,3. 1] = [3. 8,4. 2], where [3. 8,4. 2] = {x + ylx E [0. 9,1. 1] and y E [3. 8,4. 2]}. The power of interval arithmetic comes from the fact that (i) the elementary operations and standard functions can be computed for intervals with formulas and subroutines; and (ii) directed roundings can be used, so that the images of these operations (e. g.
| Author | : Ramon E. Moore |
| Publisher | : SIAM |
| Total Pages | : 222 |
| Release | : 2009-04-16 |
| Genre | : Mathematics |
| ISBN | : 0898716691 |
An introduction to interval analysis for scientists and engineers interested in scientific computation, especially using INTLAB/MATLAB®.
| Author | : Ding-Geng (Din) Chen |
| Publisher | : CRC Press |
| Total Pages | : 435 |
| Release | : 2012-07-19 |
| Genre | : Mathematics |
| ISBN | : 1466504250 |
Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for interval-censored time-to-event data. Top biostatisticians from academia, biopharmaceutical industries, and government agencies discuss how these advances are impacting clinical trials and biomedical research. Divided into three parts, the book begins with an overview of interval-censored data modeling, including nonparametric estimation, survival functions, regression analysis, multivariate data analysis, competing risks analysis, and other models for interval-censored data. The next part presents interval-censored methods for current status data, Bayesian semiparametric regression analysis of interval-censored data with monotone splines, Bayesian inferential models for interval-censored data, an estimator for identifying causal effect of treatment, and consistent variance estimation for interval-censored data. In the final part, the contributors use Monte Carlo simulation to assess biases in progression-free survival analysis as well as correct bias in interval-censored time-to-event applications. They also present adaptive decision making methods to optimize the rapid treatment of stroke, explore practical issues in using weighted logrank tests, and describe how to use two R packages. A practical guide for biomedical researchers, clinicians, biostatisticians, and graduate students in biostatistics, this volume covers the latest developments in the analysis and modeling of interval-censored time-to-event data. It shows how up-to-date statistical methods are used in biopharmaceutical and public health applications.
| Author | : Walter N. Osborne |
| Publisher | : Nova Science Publishers |
| Total Pages | : 179 |
| Release | : 2017 |
| Genre | : Interval analysis (Mathematics) |
| ISBN | : 9781536120493 |
