Mar 29, 2019 How to Download MATLAB on a Mac. Do you having trouble downloading MATLAB to your Mac? MATLAB is a programming software that most undergraduate engineering students will download and use during their college career. Installing Matlab on External Drive on MAC. Learn more about external drive, installation, error. Time Series Simulators Ppt - Free download as Powerpoint Presentation (.ppt /.pptx), PDF File (.pdf), Text File (.txt) or view presentation slides online. R simulator Gretl Matlab Microsoft Excel these 4 different simulators are used to predict time series. This video shows you how to get MatLab completely free for your mac computer Important info: (1) Social media website: (2) Secret Ma. Last release for Intel 32-bit Mac: MATLAB 7.11 R2010b 24 1.6.017 September 3, 2010 Add support for enumerations: MATLAB 7.11.1.

Abstract

The computation of reliability metrics involves real numbers. Therefore, numerical problems are generated due to the limitation of representing and operating with real numbers in computers. This paper proposes interval functions for controlling numeric errors in the computation of reliability metrics values of complex systems, based on interval mathematics and high accuracy arithmetic. The interval functions calculate interval enclosures, using Intlab toolbox, for real values of reliability metrics and the SHARPE software was used to validate the results. Analysis of the numerical results obtained with the proposed functions showed that the intervals really enclose the real numbers calculated by the software SHARPE, indicating that these functions, in fact, are an alternative for auto-validating representation of these reliability values of complex systems.

Keywords

References

M.A. Campos. Interval probability: applications to discrete random variables. TEMA – Trends in Applied and Computational Mathematics, 1(2) (2000), 333–343.

M.A. Campos & M.G. Santos. Interval Probabilities and Enclosures. Computational & Applied Math- ematics, 32(1) (2013), 413–423.

Intlab Matlab For Mac Download

O. Caprani, K. Madsen & H.B. Nielsen. “Introduction to Interval Analysis”. Technical University of Denmark, Copenhagen (2002).

F.P.A. Coolen & M.J. Newby. “Bayesian Reliability Analysis with Imprecise Prior Probabilities”. Eindhoven University of Technology, Eindhoven (1992).

C.E. Ebeling. “An Introduction to Reliability and Maintainability Engineering”. Waveland Press, Illinois (1997).

B.V. Goldberg. What every computer scientist should know about floating-point arithmetic. ACM Computing Surveys, 23(1) (1991), 153–230.

P.S. Grigoletti, G.P. Dimuro & L.V. Barboza. Módulo python para matemática intervalar. TEMA – Trends in Applied and Computational Mathematics, 8(1) (2007), 73–82.

N.J. Higham. Accuracy and stability of numerical algorithms, 2nd edn. SIAM Publications, Philadel- phia (2002).

C. Hirel, X. Sahner, X. Zang & K. Trivedi. “Reliability and Performability Modeling using SHARPE 2000” (2011). (avaliable in: .)

IEEE Standard 754-2008: IEEE Standard for Floating-Point Arithmetic. IEEE Computer Society, New York (2008).

R. Klatte, U. Kulisch, C. Lawo, M. Rauch & A. Wietho. “C-XSC - A C++ class library for extended scientific computing”. Springer, Heidelberg (1993).

U.W. Kulisch & W.L. Miranker. “Computer Arithmetic in Theory and Practice”, Academic Press, New York (1981).

W. Kuo & M.J. Zuo. “Optimal Reliability Modeling: Principles and Applications”. John Wiley & Sons Inc, New Jersey (2003).

G. Levitin, L. Xing, H. Ben-Haim & Y. Dai. Reliability of series-parallel systems with random failure propagation time. IEEE Transactions on Reliability, PP, Issue: 99, 1–11 (2013).

The MathWorks Inc, “MATLAB 7.5” (2007). (available in: http://www.mathworks.com/ products/matlab/.)

A.F. Mendonc ̧a & M.A. Campos. Confiabilidade Autovalidável de Sistemas com Processo Exponencial de Falhas. TEMA – Trends in Applied and Computational Mathematics, 14(3) (2013), 383–398.

P.L. Meyer. “ Probabilidade Aplicações à Estatística”. Livros Técnicos e Científicos, Rio de Janeiro (1983).

R.E. Moore, W. Strother & C.T. Yang. “Interval Integrals”. Technical Report Space Div. Report LMSD703073, Lockheed Missiles and Space Co., (1960).

R.E. Moore. “Interval Analysis”. Englewood Cliffs, New Jersey (1966).

R.E. Moore. “Methods and Applications of Interval Analysis”. Society for Industrial and Applied Mathematics Philadelphia, Philadelphia, (1979).

R.E. Moore, R. B. Kearfott & M.J. Cloud. “Introduction to Interval Analysis”. Society for Industrial and Applied Mathematics Philadelphia, Philadelphia, (2009).

S.M. Rump: INTLAB – INTerval LABoratory. In Tibor Csendes, editor, Developments in Reliable Computing, pages 77-104. Kluwer Academic Publishers, Dordrecht (1999).

R. Sahner, K.S. Trivedi & A. Puliafito. “Performance and Reliability of Computer Systems: An Example-Based Approach Using the SHARPE Software Package”. Kluwer Academic Publishers, Boston (1996).

R. Sahner & K. Trivedi. Reliability Modeling Using SHARPE. Reliability, IEEE Transactions, 36(2) (1987), 186–193.

M. Spivak. “Calculus”. Publish or Perish, Houston (1994).

T. Sunaga. Theory of An Interval Algebra and its Application to Numerical Analysis. RAAG Memoirs, 2 (1958), 29–46.

L.V. Utkin. Imprecise reliability of cold standby systems. International Journal of Quality & Reliability Management, 20 (2003), 722–739.

Intlab Matlab For Mac Operating System

L.V. Utkin. Interval reliability of typical systems with partially known probabilities. European Journal of Operational Research, 153(3) (2004), 790–802.

Y. Wang. Imprecise probabilities based on generalized intervals for system reliability assessment. International Journal of Reliability & Safety, 1 (2009), 1–23.

J. Yang & H. Sun. Discrete method for structural interval reliability analysis. Chinese Control and Decision Conference, 1 (2008), 2441–2446.

DOI: https://doi.org/10.5540/tema.2016.017.02.0143

Article Metrics

_{Metrics powered by PLOS ALM}

Matlab For Mac Os X

Refbacks

• There are currently no refbacks.

TEMA - Trends in Applied and Computational Mathematics

A publication of the Brazilian Society of Applied and Computational Mathematics (SBMAC)
ISSN: 1677-1966 (print version), 2179-8451 (online version)

Indexed in:

Desenvolvido por:

Intlab Matlab For Mac Pro

This unique book provides an introduction to a subject whose use has steadily increased over the past 40 years. An update of Ramon Moore s previous books on the topic, it provides broad coverage of the subject as well as the historical perspective of one of the originators of modern interval analysis. The authors provide a hands-on 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.

Readers will find the following features of interest: elementary motivating examples and notes that help maximize the reader s chance of success in applying the techniques; exercises and hands-on MATLAB-based examples woven into the text; INTLAB-based examples and explanations integrated into the text, along with a comprehensive set of exercises and solutions, and an appendix with INTLAB commands; an extensive bibliography and appendices that will continue to be valuable resources once the reader is familiar with the subject; and a Web page with links to computational tools and other resources of interest.

Intlab Matlab For Mac Free

Audience: Introduction to Interval Analysis will be valuable to engineers and scientists interested in scientific computation, especially in reliability, effects of roundoff error, and automatic verification of results. The introductory material is particularly important for experts in global optimization and constraint solution algorithms. This book is suitable for introducing the subject to students in these areas.

Contents: Preface; Chapter 1: Introduction; Chapter 2: The Interval Number System; Chapter 3: First Applications of Interval Arithmetic; Chapter 4: Further Properties of Interval Arithmetic; Chapter 5: Introduction to Interval Functions; Chapter 6: Interval Sequences; Chapter 7: Interval Matrices; Chapter 8: Interval Newton Methods; Chapter 9: Integration of Interval Functions; Chapter 10: Integral and Differential Equations; Chapter 11: Applications; Appendix A: Sets and Functions; Appendix B: Formulary; Appendix C: Hints for Selected Exercises; Appendix D: Internet Resources; Appendix E: INTLAB Commands and Functions; References; Index.