实验一-MATLAB基本操作及运算(含实验报告)

实验一MATLAB基本操作及运算实验目的理解Matlab数据对象的特点；掌握基本Matlab运算规则；掌握Matlab帮助的使用方法；实验的设备及条件计算机一台（带有MATLAB7.0以上的软件环境）。实验内容要求建立一个名为experiment01.m的，把与实验内容1-7相关的实验命令都放入该文件中，题与题之间用相应注释分割。注意对实验中出现的相关函数或变量，请使用help或doc查询相关帮助文档，学习函数的用法。建立以下标量：a=10b=2.5×1023c=2+3i，（i为虚数单位）d=,（j为虚数单位，这里要用到exp，pi）建立以下向量：aVec=[3.1415926]bVec=cVec=[54.8…-4.8-5]（向量中的数值从5到-5，步长为-0.2）dVec=[100100.01…100.99101]（产生1到10之间的等对数间隔向量，参考logspace，注意向量的长度）建立以下矩阵：1）aMat一个9×9的矩阵，其元素全为2；（参考ones或zeros）2）bMat是一个9×9的矩阵，除主对角上的元素为[123454321]外，其余元素均为0。（参考diag）。3）cMat为一个10×10的矩阵，可有1:100的向量来产生（参考reshape）4）dMat为3×4的NaN矩阵，（参考nan）5）6）产生一个5×3随机整数矩阵fMat，其值的范围在-3到3之间。（参考rand和floor或ceil）使用题1中的变量计算下列等式的x,y,z的值：,参考sqrt。，其中R表示取括号内复数的实数部分，表示c的共轭复数，log是自然对数。（参考real，conj，log）使用题2中的向量求解一下等式：1），其中指的是题2中定义的向量，一下雷同。2）,表示的转置3），表示已10为底的对数，参考log10使用题2和题3中所产生的向量和矩阵计算以下等式，注意本题的操作实验结果及结果分析第一大题A=10b=2.5e+023c=2+3id=-0.5+0.866025403784439i_____________________________________________________________________第二大题aVec=Columns1through23.1415Columns3through4926bVec=2.71828182cVec=Columns1through254.8Columns3through44.64.4Columns5through64.24Columns7through83.83.6Columns9through103.43.2Columns11through1232.8Columns13through142.62.4Columns15through162.22Columns17through181.81.6Columns19through201.41.2Columns21through2210.8Columns23through240.60.399999999999999Columns25through260.1999999999999990Columns27through28-0.199999999999999-0.399999999999999Columns29through30-0.6-0.8Columns31through32-1-1.2Columns33through34-1.4-1.6Columns35through36-1.8-2Columns37through38-2.2-2.4Columns39through40-2.6-2.8Columns41through42-3-3.2Columns43through44-3.4-3.6Columns45through46-3.8-4Columns47through48-4.2-4.4Columns49through50-4.6-4.8Column51-5dVec=Columns1through211.02353102189903Columns3through41.047615752789661.07226722201032Columns5through61.097498765493061.12332403297803Columns7through81.149756995397741.176811952435Columns9through101.204503540258781.23284673944207Columns11through121.261856883066021.29154966501488Columns13through141.321941148466031.35304777457981Columns15through161.384886371393871.41747416292681Columns17through181.450828778495941.48496826225447Columns19through201.519911082952931.55567614393047Columns21through221.592282793341091.62975083462064Columns23through241.668100537200061.70735264747069Columns25through261.747528400007681.78864952905743Columns27through281.830738280295371.87381742286038Columns29through301.917910261672491.96304065004027Columns31through322.009233002565052.05651230834865Columns33through342.104904144512022.15443469003188Columns35through362.205130739903052.25701971963392Columns37through382.310129700083162.36448941264541Columns39through402.420128264794382.47707635599171Columns41through422.535364493970112.59502421139974Columns43through442.656087782946692.71858824273294Columns45through462.782559402207122.8480358684358Columns47through482.915053062825182.98364724028334Columns49through503.053855508833423.12571584968824Columns51through523.199267137797383.27454916287773Columns53through543.351602650938843.43046928631492Columns55through563.511191734215133.59381366380463Columns57through583.678379771828633.76493580679247Columns59through603.853528593710533.94420605943766Columns61through624.037017258596554.13201240011534Columns63through644.22924287438954.32876128108306Columns65through664.430621457583884.53487850812858Columns67through684.641588833612784.7508101621028Columns69through704.862601580065354.97702356433211Columns71through725.094138014816385.21400828799968Columns73through745.336699231206315.46227721768434Columns75through765.590810182512225.72236765935022Columns77through785.857020818056675.99484250318941Columns79through806.135907273413176.28029144183425Columns81through826.428073117284326.57933224657568Columns83through846.734150657750826.8926121043497Columns85through867.054802310718647.22080901838546Columns87through887.390722033525787.56463327554629Columns89through907.742636826811277.92482898353917Columns91through928.111308307896878.30217568131975Columns93through948.497534359086448.69749002617784Columns95through968.902150854450399.11162756115489Columns97through989.32603346883229.54548456661834Columns99through1009.7700995729922510_____________________________________________________________________第三大题aMat=222222222222222222222222222222222222222222222222222222222222222222222222222222222bMat=100000000020000000003000000000400000000050000000004000000000300000000020000000001x=Columns1through9123456789Columns10through18101112131415161718Columns19through27192021222324252627Columns28through36282930313233343536Columns37through45373839404142434445Columns46through54464748495051525354Columns55through63555657585960616263Columns64through72646566676869707172Columns73through81737475767778798081Columns82through90828384858687888990Columns91through99919293949596979899Column100100cMat=Columns1through9111213141516171812122232425262728231323334353637383414243444546474845152535455565758561626364656667686717273747576777878182838485868788891929394959697989102030405060708090Column10919293949596979899100dMat=NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNeMat=13-15-2210-87fMat=Columns1through24.650904996030234.23909276304231-0.3820304049799853.334677831191762.247898084792511.195273656178391.4018772809651-1.87047449726243Column33.749850150066771.112923550472362.308026436700663.54355926198925_____________________________________________________________________第四大题x=0.302940716034593y=6269.60314420271z=0.104633566196183_____________________________________________________________________第五大题xVec=Columns1through20.00114368374603410.00168440923977891Columns3through40.002441891459895720.00348451366324844Columns5through60.0048943504446680.00676682628990691Columns7through80.009208991418613310.0123360517753163Columns9through100.01626587286601450.0211113321391906Columns11through120.0269706229865210.033915903649967Columns13through140.04198100994748930.0511492707968797Columns15through160.0613427280038810.0724142104534477Columns17through180.08414369683445320.096240185732909Columns19through200.108349869123440.120070800079053Columns21through220.1309735179491810.14062633423639Columns23through240.1486232979237350.154612359137343Columns25through260.1583210256067890.159576912160573Columns27through280.1583210256067890.154612359137343Columns29through300.1486232979237350.14062633423639Columns31through320.1309735179491810.120070800079053Columns33through340.108349869123440.096240185732909Columns35through360.08414369683445320.0724142104534477Columns37through380.0613427280038810.0511492707968797Columns39through400.04198100994748930.033915903649967Columns41through420.0269706229865210.0211113321391906Columns43through440.01626587286601450.0123360517753163Columns45through460.009208991418613310.00676682628990691Columns47through480.0048943504446680.00348451366324844Columns49through500.002441891459895720.00168440923977891Column510.0011436837460341yVec1=3.5034126220015813.285330255586428.7141080307225182.926214633114zVec=Columns1through20-0.0101010101010101Columns3through4-0.0202020202020202-0.0303030303030304Columns5through6-0.0404040404040404-0.0505050505050505Columns7through8-0.0606060606060606-0.0707070707070707Columns9through10-0.0808080808080809-0.0909090909090909Columns11through12-0.101010101010101-0.111111111111111Columns13through14-0.121212121212121-0.131313131313131Columns15through16-0.141414141414141-0.151515151515152Columns17through18-0.161616161616162-0.171717171717172Columns19through20-0.181818181818182-0.191919191919192Columns21through22-0.202020202020202-0.212121212121212Columns23through24-0.222222222222222-0.232323232323232Columns25through26-0.242424242424242-0.252525252525253Columns27through28-0.262626262626263-0.272727272727273Columns29through30-0.282828282828283-0.292929292929293Columns31through32-0.303030303030303-0.313131313131313Columns33through34-0.323232323232323-0.333333333333333Columns35through36-0.343434343434343-0.353535353535354Columns37through38-0.363636363636364-0.373737373737374Columns39through40-0.383838383838384-0.393939393939394Columns41through42-0.404040404040404-0.414141414141414Columns43through44-0.424242424242424-0.434343434343434Columns45through46-0.444444444444444-0.454545454545455Columns47through48-0.464646464646465-0.474747474747475Columns49through50-0.484848484848485-0.494949494949495Columns51through52-0.505050505050505-0.515151515151515Columns53through54-0.525252525252525-0.535353535353535Columns55through56-0.545454545454545-0.555555555555556Columns57through58-0.565656565656566-0.575757575757576Columns59through60-0.585858585858586-0.595959595959596Columns61through62-0.606060606060606-0.616161616161616Columns63through64-0.626262626262626-0.636363636363636Columns65through66-0.646464646464647-0.656565656565657Columns67through68-0.666666666666667-0.676767676767677Columns69through70-0.686868686868687-0.696969696969697Columns71through72-0.707070707070707-0.717171717171717Columns73through74-0.727272727272727-0.737373737373737Columns75through76-0.747474747474747-0.757575757575758Columns77through78-0.767676767676768-0.777777777777778Columns79through80-0.787878787878788-0.797979797979798Columns81through82-0.808080808080808-0.818181818181818Columns83through84-0.828282828282828-0.838383838383838Columns85through86-0.848484848484848-0.858585858585859Columns87through88-0.868686868686869-0.878787878787879Columns89through90-0.888888888888889-0.898989898989899Columns91through92-0.909090909090909-0.919191919191919Columns93through94-0.929292929292929-0.939393939393939Columns95through96-0.94949494949495-0.95959595959596Columns97through98-0.96969696969697-0.97979797979798Columns99through100-0.98989898989899-1xMat=Columns1through220450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.0376Columns3through420450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.037620450.0376Columns5through620450.037620450.037620450.0376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