数模美赛论文模板

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1、.AbstractIntroductionAssumptionsAnalysis of the problemTask 1 : predicting survivorshipTask2 : achieving stability.Sensitivity analysisStrengthsWeaknessesConclusionReferencesTitle(use Arial 14)Word 资料.First author , second author , the other (use Arial 14)Full address of first author . Including cou

2、ntry and mail(use Arial11)Full address of second author . Including country and mailList all distinct addresses in the same wayKeywords(use Arial 11)Abstract1985:模型概述 -考虑因素 -使用理由We modelled. Sincewe used. We includedwhich were to bechosen in order to假设条件 -数据处理方法We assumed thatWe used actual datato e

3、stimate realistic ranges on theparameters in the model.评估标准 -衡量方法 -得到结论 -结论的可靠性We definedWe then usedwe foundWe examinedthe results fordifferent values of the mortalityparameters and found them to be the same .Therefore,our solutionappears to be stable withrespect to environmentalconditions.Word 资料.

4、2000:-in order to determine, we develop models using-For the solution of, we developmodel basedto. For the solutionof, we employWhat is more , a self-adaptive traffic light is employedtoaccording to-By comparisonofsimulationresults , the models are evaluated .isformulated to judge which solution is

5、effective .2002:The task is towe begin by constructing a model ofbase onUsingthis model we canUsing, we modelthroughand obtainwe comparethe performance of our model insimulations show that2001:We examine the. Such evacuations been required due to. in orderto, we begin with an analysis of. For a more

6、 realistic estimate , includingthe effects of, we formulate models of. The model we construct is basedon.This model leads to aand it further show thatwhat more , it agreeswithWord 资料.2004:The purpose of this paper is to propose. We propose that. To build asolid foundation , we define and test a simp

7、le model for. We then developsystem , but we find it would be far from optimal in practice . We then proposethat the best model is one that adapts to. We implement. We simulatethewithand we find this system quickly converges to a nearly optimalsolutionsubject toourconstraints. Itis , however, sensit

8、ive tosomeparameters.Wediscuss theeffectsofthese findingsontheexpectedeffectiveness of the system in a real environment . We conclude thatis a goodsolution .is a real-life common phenomenon with many complexities .For a better view of, weTo give a clear expression, we will introduce the method prese

9、nted byIn this paper , we presentmodel to simulate efficient methods forWe also applymethods to solveWe address the problem of. through.Word 资料.We formulate the problem asWe formulate amodel to account forBase on, we establish a model.We build a model to determineWe modify the model to reflectTo pro

10、vide a more complete account for, . model has been employed .In this paper , in order to, we design amodel based onWe propose a solution thatWe have come up with anforandStrong evidenceof., andpowerfulmodelshavebeen created toestimate .will scale up to an effective model forWe employ, one based onan

11、d the other, whose results agreeclosely.To combat this , we imposeUsing data from, we determineWord 资料.To ground this model in reality , we incorporateextensive demographicdata.We use data assembled byUsing a wide scale regression , we found thatWe extrapolatefrom longevitydata and explore the long-

12、termbehaviorofThe base we developed was based off real-life data that gathered byWe estimate these characteristic numbers for a representative sample ofWe fit the modified model to data , we conclude thatBy statistical processing to results ofBy analyzing theon the basis of historic data in the same

13、 way mentionedinResults of this computation are presented , and.We elicit that a conclusionWe conclude with a series of recommendations forGiven adeviationin the value of the parameter, we calculate thepercentage change in the value that the system converges toAs we can find out , in the situation o

14、f. ,. is subject to the logisticregression .We conclude through analyzing that.Word 资料.it is apparent thatThrough comparing the, we conclude thatAccording to the laws of, we draw a conclusion ofFrom the formula , we know thatThus we arrive at the conclusion :We elicit that a conclusionAs a consequen

15、ce , we can getOur suggested solution , which is easy to.Since our model is based onit can be applied toImportantly , we use some practical data to test our model and analysis itsstability , we simulate this model and receive a well effect .Therefore , we trust this model as an accurate testing grou

16、nd forOur algorithm is broad enough to accommodate variousThat is the theoretical basis forin many application areas .With further simplification, utilizingwe can reachWord 资料.In addition to the model , we also discussBecause the movement ofoperates by the same laws and equations as themovement of,

17、we can.Based on the above discussion, considering., let sdoes not deviate more thanfrom the target value .Theoretically , error due toshould not play a tremendous role under ourmodel .Up to this point , we have made many approximations , not all of whichare justified theoretically , but the results

18、of algorithm are quite reasonable .This is a na?ve approach which may mot ensure the. , however if we,the error is negligible .Context:We derive the equation expressing theas a function ofwe haveA simple formula determined by theis given by the equation :can be written as the following system of equ

19、ations :In particular , theis defined in terms of,Word 资料.It is convenient to rewrite equations into the vector form:The expression ofcan be expanded asEquation (1) is reduced to .Substitute the values into equation (1) ,we getSo its expression can be derived from equation (1) with small changes .Ou

20、r results are summarized in the formula forPlugging (1) into the equation for (2) , we obtainTherefore , from (1)(2)(3) , we have the junction thatWe use the following initial conditions to determineWhen computing , we suppose,so this suppose doesn t,then by, wecan get :According to equation (1)(2)

21、, we can eliminate,then we can acquire :By connecting equation (6)(7) , we get the conclusion thatThen we can acquirethrough the following equation :Its solution is the following, in whichisA commonly accepted fact is thatA lot of research has been done to explain and findIn our model , we prefer to

22、 follow the conclusion used byHere , we cite the model constructed byThere is one paper from,which concluded thatWord 资料.We get performance ofby citing the experimental results ofHere, we will introduce some terms used to address the problem, and weWe constructintelligentalgorithms, a conservative a

23、pproach , and anenthusiastic system to .We formulate a simplified differential equation governingThis equation will be based onThe above considerations lead us to formulate theasGiven this , it is easy to determineTo analyze the accuracy of our model , and determine a reasonable valueforWe will eval

24、uate the performance of ourbyWe tabulate theas a function ofAnalysis for thecan be carried out exactly in the same fashion asThe main goal in attempting to modelis to determineandshould beconsidered .The first requirement that the model reproduce is to determine if the modelis reasonable .We begin o

25、ur analysis of the phenomenon of congestion with the questionofIn modeling this behavior , we begin withWord 资料.In laying down the mathematics of this model , we begin withWhenis not taken into account ,it isWe give the criterion thatWe fix A and examine the change of B with respect to CAttention ha

26、s been draw to determineTo reveal the trend ofin a long horizonTo deal with the problem, we need figure outWe can graphwith,and such a plot is shown inAccording to the above data , we can see that. This phenomenon showsthat. Hence, we can safely arrive the conclusion thatTable 7 reports the general

27、statistics underThere is rather substantial literature on models for evaluating regional health condition, and most models fall into one of two categories: microscopic and macroscopic. Nevertheless, to get a more accurate understanding, we need to conduct quantitative modeling in our call for a bett

28、er evaluation and predictive model.In order to present our solution , we have made numerous simplifications toWord 资料.the given problem . we made several assumptions regarding either the problemdomain itself , orFor the sake of simplicity , we will generally assume in our discussions thatare assumed

29、 to haveWe assumeareDue to the symmetry of the image we can assume thatWe came up with a few different hypotheses thatFor simplicity we considerWe will use the following symbols and definitions in the description of themodel:To get the general picture of the, we rely on the assumption thatHence we a

30、re bale toThis assumption makes sense , because we expectAssumptionis valid , since if it was not the case , thewouldMakethefollowingassumptionstoapproximateandsimplifytheproblemAs a sweet spot , there is no doubt that,if not ,For the purpose of reaching a conclusion conveniently , we assumeWe adopt

31、 a set of assumptions as followsTo test our model , we developedasimulatorbased on, and theWord 资料.simulator was written inand can be executed on several platforms .To demonstrate how our model works , we apply it toFor a further discussion of this model , please see Appendix A .The underlying idea

32、is fairly simpleWhat we are really interested in isWith this consideration in mind , we nowOur goal is to, one that wouldWe must restate the problem mathematically by narrowing our focus anddefining our goals in order to obtain a good model .Given this idea , it is clear that we cannot compromise th

33、eThis immediately leads to useful conclusions . For example ,Given these assumptions , the following results can be quickly derivedWe will pursue this goalWe turn our attention toWe restrict our attention toIn addition to the model , we also discuss policies forIn our paper , we takefactors into con

34、sideration tois not as simple a task as it might seem , becauseWord 资料.For the, we only takeinto account .As the next step , we will introduce our advanced method toUnder the premise of this ,On the basis of previous analyses , we find the:This is a good indicationthat our simulations are producingr

35、easonableresults .The results of our simulations ,shown inindicate that the performanceofThis is no surprise the distinguishing features ofThis would appear very encouraging indeed , were it notWe therefore regard this model as reasonable .Here very little congestion occursAs we will see when we app

36、ly our model to,this model works well . Itshould be noted ,though that this is not the only way to define the location ofgenerator points , but it is a very good firs approach ./Of course , only theoretical explanations are not completelyconvincing .Butmass ofdatarelevanttoourcalculationcanbeobtaine

37、dthroughexperiments . Owing to our limit conditions , we only quote some experimentalresults fromotherliteraturestoassist andanalyze ourderivedtheoreticalWord 资料.conclusion .Letdenote, andto beTheis, whereis , W stands for , andstands for bucks .For better description we assignNote for brief descrip

38、tion of the model , we will denoteIn fact , this assumption is reasonable not only becausebut also thatIn other word ,The key feature of this algorithm isIt is important to note thatcan no longer be ignored when consideringIf, we can gain more insight into the nature ofThe reason we care aboutis tha

39、t,the problem is determining, ifsowe .Our approach weighs heavily onTo show thatare negligible , we varyThis is likely due toWe modifyaccording toWord 资料.We modify the model to reflectand generalize the model toBecause the effect ofand omit the resistance ofAs the effect ofThe model also incorporate

40、s theAt other impact points , the impact may. has been implicated as the major component of .However , from this figure it is clear that theFrom this figure one can see that,one also notices thatThis graph can be compared to the results of the symbolic model to seehow well the model agrees with our

41、simulatedThe two plots at above which show.According to, there exists the fact thatAccording to, it is no doubt that,Given the above assumptions , we may approximateIn simulations over a suitably long time period , we findFor each run of the simulation we fire enough blobs so that results areWord 资料

42、.An appropriate estimate for thecan be obtain as follows .In assessing the accuracy of a mathematical model ,We now propose a way to extend our model using a computer simulationofIt is obvious , however , that this is a highly subjective value that must bedetermined through experiment for eachthat o

43、ur model is applied to .This model leads to a computer simulation of:Analyzing what parameters have the greatest effect on the simulation resultsindicates the things that we should focus on in order to produce a more effectiveevacuation scheme .Sensitivity analysisWe use the sensitivity analysis to

44、defend our model .The sensitivity of amodelis a measure of howsensitive the result changes at small changes ofparameters . A good model is corresponding to low sensitiveness .Consideringthe parametersused in oursolutions, hereweprovidefollowing discussion .The above models we have built is based on,

45、which has well solved.To the final issue , we have takeinto account in order toWord 资料.Strength:On the whole , we have hound our model to be quite natural and easy toapply . Here , we list some of the advantages of our approach to the problem .The most distinct advantage of our model is thatOur meth

46、ods can incorporate various scenarios :.This model is simple enough forto understand .Our methodis robust (), so that other variables or situations can beeasily introduced .Our modeland is not overly sensitive to small changes inAdditionally, weavoidedharsh assumptions that wouldconstrain thepossibl

47、eMost of the assumptions we did make could be accounted for as well in amore general model .We use random events to simulate the chaos of real world .The key insight to our model is that.Our model also takes into account theThe model allowswhich is more close to reality .The model is able to handle

48、a range ofBesides rigorous theoretical derivation , we also citing the research results ofnumerous experts and scholars to test the result of our method .Word 资料.Weakness:Of course , there are many ways to attack a problem such as this one , Inthis section , we discuss some of the drawbacks of our a

49、pproach to the problem ,and some things that could have been done to deal with these issues .Some special data can tbe found , and it makes that we have to do someproper assumption before the solution of our models . A more abundant dataresource can guarantee a better result in our model .The model

50、responds slowly to dramatic changes inThe method does not allow, which might be possible with a more radicalmodel .However ,constraints arise when pursuing this methodology .Additionally , this method would have required, which wouldHowever , the algorithms do have unique strengths andweaknesses whenOur model does take into account the complicated effects thatFactors considered in our methodis relativelyunitary, we only take theimportant factor into consideration .Lacking briefnumericalcalculationin our method, thoughwe displayrigorous theoretical derivation .Word 资料