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All treatments occurred under topical anesthesia with follow up at 1 and 3 months following the final treatment There were no serious complications after any of the treatments Both the physician and the patient assessed the textural improvement, wrinkle reduction, and overall improvement in eyelid appearance using a quartile score Patients returned to everyday activities within 2 to 3 days, by which time temporary posttreatment edema, erythema, and swelling had resolved Preliminary evaluation of the data suggests that these techniques result in an average improvement in eyelid texture of 28, wrinkle improvement of 26, and overall eyelid appearance of 2517.

Figure 7-3

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E x p l i c io n d l m p l i c i E u t e r t t ProblemStotemeni. UseboththeexplicitandrmplicitEulermethods solveEq.(21.11), ro wherer'(0) : 0. (a) Use theexplicitEulerwith stepsizes 0.000-5 0.0015to solvefor of and ,t'between/ : 0 and 0.006.(b) Use the implicit Euler with a stepsizeof 0.05 to solve fbr I' between and0.4. 0 Solution. (a) For this problem, explicitEuler'smethocl the is f J,r+r: .r,r (_1000],i * 3000 _2000e ')h The result for h:0.000-5 is displayed Fig. 21.8a along with the analyticalsolution. in Although it exhibitssometruncationelror, the resultcaptures generalshapeof the anathe lytical scllution. contrast, In when the stepsizeis increased a valuejustbelow the stabilto ity limit (ft : 0.0015).the solution manifests oscillations. Usingft > 0.002would resulr in a totally unstablesolution-that is, it would go infinite as the solutionprogressed. (b) The implicit Euler'smerhodis : .J,r+r .yi* (_1000],i+rf 3000 _ )eeeg-ti+t1p

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in Errorssomctimes enterinto an analysis because uncertainty thephysical of dataon which jr"rmper modelby hava rnodelis based. instance, For suppose wanted testthe bungee we to jurrrps his ing an individualrnakerepeated andthenrneasuring or hcr velocityalicr a spccrfied time interval. wouldundoubtcdly associatcd thcsc with mcasllrcmcnts, ns Uncertainty bc jumps thanduringothcrs. would flll taster Thcsccrrorscancxthe parachutist duringsome hibit bothinaccuracy irnpr-ecision. instmments and If our consistently underestirnate overor wc or dcvicc.On thc otherhand, estimate velocity, arcdcalingwith an inaccuratc. hiascd, the if the measurements ranclomly high andlow, we arcdcalingwith a qr-rcstion ol'prccision. are Measurernent by thc errors can bc quarrtil'icd sr-rnrnrarizing datawillr oneor morewellregarding specil'ic choscns(atistics convcyas much inlbrrnation possible lhat as character( statistics most olien selected represent I) the isticsol' thc data.Thcscdcscriptivc arc to l o c a t i o n f ' t h cc c n t c r l ' t h cd i s t r i h u t i oo l ' ( h cd a t aa n d( 2 ) t h ed e g r e e f s p r e a d l ' t h ed a t a . o o n o o As such.theyprovidca rnsasurc ol'Lhc biasandirnprccision, rcspcctivcly. will retLrrn Wc to (hctopicol'charactcrizing r-rncertainty whenwe discuss regression PartFour. in dala Althoughyou mr-lst cognizant hc o1'blundcrs, r-rroclcl errors, anduncertain clata, nuthe lilr rncricalrncthods uscdfirr bLrilcling nroclels bc stndicd, the nrostpilrt,indepcndently can Thcrelilrc, rlost of thishook,we will assr"rmc wc havcnot lnadcgross that ol'thcsc errors. ftrr we nrodel,and wc are dcalirrg with crror-ll'cc rncusurcnrcnts. Undcr en'ors, have a souncl l'actors. thesc conditir)ns, can studynunrcrical wc errorswitl'toul crlrlplicating

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