By Lin Y., OuYang S.
Even if scientists have successfully hired the recommendations of likelihood to deal with the advanced challenge of prediction, smooth technology nonetheless falls brief in developing precise predictions with significant lead instances of zero-probability significant mess ups. the hot earthquakes in Haiti, Chile, and China are tragic reminders of the severe want for better tools of predicting natural mess ups. Drawing on their huge useful adventure and theoretical reports, Dr. Yi Lin and Professor Shoucheng OuYang examine some of the problems that exist within the modern system of technological know-how to provide the knowing required to improve our ability to forecast and get ready for such events. proposing a sequence of latest understandings, theories, and a brand new method of method, Irregularities and Prediction of significant failures simplifies the world-class challenge of prediction right into a sequence of projects that may be discovered, mastered, and utilized within the research and prediction of drawing close alterations in fabrics or fluids. those across the world revered authors introduce their novel approach to digitization for facing abnormal details, confirmed potent for predicting transitional alterations in occasions. additionally they: Unveil a brand new technique for forecasting zero-probability normal mess ups spotlight the explanations for universal forecasting disasters suggest a mode for resolving the secret of nonlinearity comprise a number of real-life case experiences that illustrate the right way to safely digitize to be had details Supply proven tools for forecasting small-probability usual mess ups This authoritative source offers a scientific dialogue of the non-evolutionality of the trendy method of science—analyzing its services and barriers. by way of relating the necessity for swap in the various basics in uncomplicated medical theories and proper methodologies, this e-book offers the clinical neighborhood with the certainty and method required to forecast zero-probability significant failures with enormously more advantageous accuracy.
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Additional resources for Irregularities and prediction of major disasters
This attempt has also supported the study on indeterminacy. Evidently, no matter whether it is the multiplicity in static spaces or the multiplicity in changes, they are all objective events. So, from the large variability of events, one cannot simply understand or define complexity as a kind of indeterminacy. As for why the objective world shows such a large variability, this is a problem that deserves further and rigorous scientific exploration. To this end, we believe that the large variability the physical world presents has something to do with the rotationality of materials (Lin, 2008).
Evidently, solving nonlinear equations using the methods developed for invariant materials of the inertial system in essence indicates that people still do not understand nonlinearity. Many results obtained out of the studies of nonlinear problems by using linearization in substance do not have much practical significance and misguide the future development of science. To this end, we will provide an alternative solution. , 2002; OuYang and Lin, 2006a; OuYang, in press). Our work indicates that the problem of nonlinearity has been fully resolved; the method of digitization can be employed to deal with irregular information; and there is no further need to invest additional tax dollars to tangle with this problem that cannot be dealt with using quantities.
It stands for a jump in our epistemological concepts and that science has entered the era of evolution science. And, digitization provides a new system of methods beyond that of quantification along the path of development of science. It constitutes the third methodology along with those of dynamic equations and statistics. And, the method of using figures is the oldest way for people to analyze situations in the scientific history. Only the contemporary digitization makes such ancient method more refined, marking a new development in the scientific system of knowing the world through analyzing materials.