数模美赛论文模板

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 data

3、to estimate 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 examined theresults fordifferent values of the mortality parameters and found them to be the same .Therefore ,our solutionappears to be stable with respect to environmentalcondition

4、s.Word 资料.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 so

5、lution is 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 order to,we begin with an analysis of.

6、For a more realistic estimate , including theeffects of, we formulatemodels 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 te

7、st a simple 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 optimalsolution subject to our constraints . It is , h

8、owever , sensitive to some parameters .We discuss the effects of these findings on the expected effectiveness of thesystem in a real environment . We conclude thatis a good solution .is a real-life common phenomenon with many complexities .For a better view of, weTo give a clear expression, we will

9、introduce the method presented byIn this paper , we presentmodel to simulate efficient methods forWe also applymethods to solveWe address the problem of. through.We formulate the problem asWord 资料.We formulate amodel to account forBase on, we establish a model.We build a model to determineWe modify

10、the model to reflectTo provide 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 anforandStrongevidenceof. , andpowerfulmodelshave beencreatedtoestimate .will scale up to an effective model for

11、We employ, one based onand the other, whose results agreeclosely.To combat this , we imposeUsing data from, we determineTo groundthis model in reality , we incorporateextensive demographicWord 资料.data.We use data assembled byUsing a wide scale regression , we found thatWe extrapolate from longevity

12、data and explore the long-term behavior ofThe 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

13、of historic data in the same 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 f

14、ind out , in the situation of. ,. is subject to the logisticregression .We conclude through analyzing that.it is apparent thatThrough comparing the, we conclude thatWord 资料.According to the laws of, we draw a conclusion ofFrom the formula , we know thatThus we arrive at the conclusion :We elicit tha

15、t a conclusionAs a consequence , 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

16、 as an accurate testing ground forOur algorithm is broad enough to accommodate variousThat is the theoretical basis forin many application areas .With further simplification, utilizingwe can reachIn addition to the model , we also discussWord 资料.Because the movement ofoperates by the same laws and e

17、quations asthe movement of, we can.Based on the above discussion, considering., letsdoes 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 which arejustified theor

18、etically , but the results of algorithm are quite reasonable .This is a na?ve approach which may mot ensure the. , however if we, theerror 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

19、the following system of equations :In particular , theis defined in terms of,It is convenient to rewrite equations into the vector form:The expression ofcan be expanded asWord 资料.Equation (1) is reduced to .Substitute the values into equation (1) ,we getSo its expression can be derived from equation

20、 (1) with small changes .Our 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 :Ac

21、cording to equation (1)(2) , 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 find

22、In our model , we prefer to follow the conclusion used byHere , we cite the model constructed byThere is one paper from,which concluded thatWe get performance ofby citing the experimental results ofHere, we will introduce some terms used to address the problem, and weWord 资料.We constructintelligenta

23、lgorithms, a conservative approach , 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 reas

24、onable valueforWe will evaluate 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 mod

25、elis reasonable .We begin our analysis of the phenomenon of congestion with the questionofIn modeling this behavior , we begin withIn laying down the mathematics of this model , we begin withWhenis not taken into account ,it isWord 资料.We give the criterion thatWe fix A and examine the change of B wi

26、th respect to CAttention has 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 thatT

27、able 7 reports the general 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 mode

28、ling in our call for a better evaluation and predictive model.In order to present our solution , we have made numerous simplifications tothe given problem . we made several assumptions regarding either the problemdomain itself , orWord 资料.For the sake of simplicity , we will generally assume in our

29、discussions thatare assumed 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 th

30、e assumption thatHence we are bale toThis assumption makes sense , because we expectAssumptionis valid , since if it was not the case , thewouldMake the following assumptions to approximate and simplify the problemAs a sweet spot , there is no doubt that,if not ,For the purpose of reaching a conclus

31、ion conveniently , we assumeWe adopt a set of assumptions as followsTo test our model , we developedasimulator based on, and thesimulator was written inand can be executed on several platforms .To demonstrate how our model works , we apply it toWord 资料.For a further discussion of this model , please

32、 see Appendix A .The underlying idea is fairly simpleWhat we are really interested in isWith this consideration in mind , we nowOur goal is to, one that wouldWe must restate the problemmathematically by narrowingour focus anddefining our goals in order to obtain a good model .Given this idea , it is

33、 clear that we cannot compromise theThis 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

34、our paper , we take factors into consideration tois not as simple a task as it might seem , becauseFor the, we only takeinto account .As the next step , we will introduce our advanced method toUnder the premise of this ,Word 资料.On the basis of previous analyses , we find the:This is a goodindication

35、that our simulations are producingreasonableresults .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 congesti

36、on occursAs we will see when we apply 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 completely convincing . Butmass of da

37、ta relevant to our calculation can be obtained through experiments .Owing to our limit conditions , we only quote some experimental results fromother literatures to assist and analyze our derived theoretical conclusion .Letdenote, andto beWord 资料.Theis, whereis , W stands for , andstands for bucks .

38、For better description we assignNote for brief description 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 in

39、sight into the nature ofThe reason we care aboutis that,the problem is determining, ifsowe .Our approach weighs heavily onTo show thatare negligible , we varyThis is likely due toWe modifyaccording toWe modify the model to reflectand generalize the model toBecause the effect ofand omit the resistanc

40、e ofWord 资料.As the effect ofThe model also incorporates 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 thatThis graph can be compared to,one also notices thatthe results of the sym

41、bolic model to seehow well the model agrees with our 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 simul

42、ation we fire enough blobs so that results areAn 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 simulationofWord 资料.It is obvious , however , that this is a highly subjective value tha

43、t must bedetermined through experiment for eachthat our 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 .Se

44、nsitivity analysisWe use the sensitivity analysis to defend our model .The sensitivity of amodel is a measure of how sensitive the result changes at small changes ofparameters . A good model is corresponding to low sensitiveness .Consideringthe parametersusedin oursolutions, here we providefollowing

45、 discussion .The above models we have built is based on,which has well solved. Tothe final issue , we have takeinto account in order toStrength: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 .Word 资料.The most distinct advantage of our model is thatOur methods can incorporate various scenarios :.This model is simple enough forto understand .Our method is robust (), so that other variables or situations can beeasily introduced .Our modeland is not overly sensitive to small changes inAdditionally