├── .gitignore ├── 1. 基础函数使用案例 ├── Matlab_1_1_10_Perms.mlx ├── Matlab_1_1_11_ReplaceWithZero.mlx ├── Matlab_1_1_12_RoseNumber.mlx ├── Matlab_1_1_13_ScreenCapture.mlx ├── Matlab_1_1_14_SpecialMatix.mlx ├── Matlab_1_1_15_MatchData.mlx ├── Matlab_1_1_16_Point_Surface_Griddata.mlx ├── Matlab_1_1_17_Point_Surface_Gridfit.mlx ├── Matlab_1_1_18_rank_inv.mlx ├── Matlab_1_1_1_CharCount.mlx ├── Matlab_1_1_2_CollatzConjecture.mlx ├── Matlab_1_1_3_Factorial.mlx ├── Matlab_1_1_4_ExponentColorbar.mlx ├── Matlab_1_1_5_FullFigure.mlx ├── Matlab_1_1_6_TextWrap.mlx ├── Matlab_1_1_7_GetBatchFilenams.mlx ├── Matlab_1_1_8_LaTexTitle.mlx ├── Matlab_1_1_9_LoadBatchFiles.mlx ├── Matlab_1_2_1_TextReadWrite.mlx ├── Matlab_1_2_2_TextReadWrite.mlx ├── Matlab_1_2_3_ExcelOLE.mlx ├── Matlab_1_2_4_WordOLE.mlx ├── Matlab_1_2_5_VideoReader.mlx ├── Matlab_1_2_6_JsonLoadSave.mlx ├── Matlab_1_2_7_PdfRead.mlx ├── Matlab_1_3_1_FigureToVideo.mlx ├── Matlab_1_3_2_rand_probability.mlx ├── Matlab_1_3_3_heart_curve_area.mlx ├── Matlab_1_3_4_Calculate_surface_integral.mlx ├── Matlab_1_3_5_SurfaceToStl.mlx └── data │ ├── JtJ.txt │ ├── Tnew.txt │ ├── Tnew.xlsx │ ├── Tnew_space.txt │ ├── bluff_data.mat │ ├── complex.txt │ ├── csv_table.txt │ ├── csv_table_missing.txt │ ├── demo.pdf │ ├── example1.json │ ├── hex_binary.txt │ ├── pdf_text.txt │ ├── peaks.avi │ ├── selftest.json │ ├── space_table.txt │ ├── test.docx │ ├── test.xlsx │ ├── test_format.xlsx │ └── video.bmp ├── 2. 典型绘图案例 ├── GenColormap.mlx ├── GetColors.mlx ├── Hex2RGB.mlx ├── Matlab_2_1_1_ColorModule.mlx ├── Matlab_2_1_2_Colormap.mlx ├── Matlab_2_2_10_PolarPlot.mlx ├── Matlab_2_2_11_BarDistribution.mlx ├── Matlab_2_2_12_LinkAxes.mlx ├── Matlab_2_2_1_Curve_ScatterPoint.mlx ├── Matlab_2_2_2_ErrorBar.mlx ├── Matlab_2_2_3_CurveFilling.mlx ├── Matlab_2_2_4_FunctionsFilling.mlx ├── Matlab_2_2_5_ChangingColor_Filling.mlx ├── Matlab_2_2_6_LineArrow.mlx ├── Matlab_2_2_7_MultiYAxes.mlx ├── Matlab_2_2_8_SpiralPolygon.mlx ├── Matlab_2_2_9_StreamLineArrow.mlx ├── Matlab_2_3_10_Mesh_HomotopyTransformation.mlx ├── Matlab_2_3_11_Surfc.mlx ├── Matlab_2_3_1_3DimageMap.mlx ├── Matlab_2_3_2_VectorMap3D.mlx ├── Matlab_2_3_3_MultiColormap.mlx ├── Matlab_2_3_4_SurfaceCut.mlx ├── Matlab_2_3_5_3D_Curve_ScatterPoint.mlx ├── Matlab_2_3_6_Contour.mlx ├── Matlab_2_3_7_Surf_Shadow.mlx ├── Matlab_2_3_8_Apple3D.mlx ├── Matlab_2_3_9_Surf_Slice.mlx ├── Matlab_2_4_1_4Dslice.mlx ├── Matlab_2_5_1_Equation1.mlx ├── Matlab_2_5_2_Equation2.mlx ├── Matlab_2_5_3_Equation3.mlx ├── Matlab_2_6_10_CH4.mlx ├── Matlab_2_6_11_Random_Point_Circle.mlx ├── Matlab_2_6_12_SlashFilling.mlx ├── Matlab_2_6_13_SpherePanelModel.mlx ├── Matlab_2_6_14_BP.mlx ├── Matlab_2_6_15_Circle_Circle.mlx ├── Matlab_2_6_16_ChessBoard.mlx ├── Matlab_2_6_17_Curve_Animation.mlx ├── Matlab_2_6_18_Satellite_Trace1.mlx ├── Matlab_2_6_19_Satellite_Trace2.mlx ├── Matlab_2_6_1_DynamicCurve.mlx ├── Matlab_2_6_20_Heart_Beat.mlx ├── Matlab_2_6_2_Fractal.mlx ├── Matlab_2_6_3_FractalLeaf.mlx ├── Matlab_2_6_4_RandomCircle.mlx ├── Matlab_2_6_5_GIFMaker.mlx ├── Matlab_2_6_6_GradientDescent.mlx ├── Matlab_2_6_7_ObjectMoveWithCurve.mlx ├── Matlab_2_6_8_JointAxes.mlx ├── Matlab_2_6_9_Legend.mlx ├── Matlab_2_7_10_Random_Circle_In_Circle.mlx ├── Matlab_2_7_11_Archimedes_Fill.mlx ├── Matlab_2_7_12_Contour_max_min.mlx ├── Matlab_2_7_13_SurfWithInRegion.mlx ├── Matlab_2_7_14_ContourWithArrow.mlx ├── Matlab_2_7_15_Yyaxis.mlx ├── Matlab_2_7_16_TitlePosition.mlx ├── Matlab_2_7_17_LikeLogging.mlx ├── Matlab_2_7_18_range_color.mlx ├── Matlab_2_7_19_curve_correction.mlx ├── Matlab_2_7_1_DataVisulization.mlx ├── Matlab_2_7_2_LinesToSurf.mlx ├── Matlab_2_7_3_scatter3.mlx ├── Matlab_2_7_4_fill_line.mlx ├── Matlab_2_7_5_MultiAxes.mlx ├── Matlab_2_7_6_Points_FittingLine_ErrorLine.mlx ├── Matlab_2_7_7_GetDataFromFig.mlx ├── Matlab_2_7_8_Node_Node_Plot.mlx ├── Matlab_2_7_9_Simulation_Spot.mlx ├── PlotLineArrow.mlx ├── RGB2MatlabColor.mlx ├── Rot2.mlx ├── SpiralPolygon.mlx └── data │ ├── FittingPoints.txt │ ├── MultiColormap.fig │ ├── WorldMap.jpg │ ├── qq.bmp │ ├── spot.bmp │ └── testAnimated.gif ├── 3. 科学计算案例 ├── CircleFit.mlx ├── CircleFitByPratt.mlx ├── Matlab_3_1_10_Integral.mlx ├── Matlab_3_1_11_Lorenz.mlx ├── Matlab_3_1_12_Simpson.mlx ├── Matlab_3_1_13_SSOR.mlx ├── Matlab_3_1_14_PLSRegress.mlx ├── Matlab_3_1_1_BinarySearch.mlx ├── Matlab_3_1_2_ODE2.mlx ├── Matlab_3_1_3_Euler.mlx ├── Matlab_3_1_4_GaussianSolveEquations.mlx ├── Matlab_3_1_5_CircleFit.mlx ├── Matlab_3_1_6_CVX.mlx ├── Matlab_3_1_7_TrapezoidalNumericalIntegral.mlx ├── Matlab_3_1_8_GaussFittingSpotCenter.mlx ├── Matlab_3_1_9_IllConditionedLinearEquations.mlx ├── Matlab_3_2_10_FRCG.mlx ├── Matlab_3_2_11_Broyden.mlx ├── Matlab_3_2_12_BFGS.mlx ├── Matlab_3_2_13_TrustRegion_FittingExp.mlx ├── Matlab_3_2_14_TrustRegionBFGS.mlx ├── Matlab_3_2_15_TrustRegionDogleg.mlx ├── Matlab_3_2_16_TrustRegionNewton.mlx ├── Matlab_3_2_17_T2inversion.mlx ├── Matlab_3_2_1_GradientDescentFitting.mlx ├── Matlab_3_2_2_AdagradMultiNonLinearRegress.mlx ├── Matlab_3_2_3_CurveFitting.mlx ├── Matlab_3_2_4_Gold.mlx ├── Matlab_3_2_5_Quadratic.mlx ├── Matlab_3_2_6_SearchCriterion.mlx ├── Matlab_3_2_7_AdvanceRetreat.mlx ├── Matlab_3_2_8_NelderMead.mlx ├── Matlab_3_2_9_ReviseNewton.mlx ├── Matlab_3_3_1_LagrangeInterplation.mlx ├── Matlab_3_3_2_SplineInterplation.mlx ├── Matlab_3_4_1_Bisection.mlx ├── Matlab_3_4_2_Gold.mlx ├── Matlab_3_4_3_Newton.mlx ├── Matlab_3_4_4_NewtonDown.mlx └── data │ ├── spot.bmp │ └── zdj10_1.txt ├── 4. 图像信号处理案例 ├── Beltrami.mlx ├── Matlab_4_1_1_NLM_1D.mlx ├── Matlab_4_1_2_NLM_2D.mlx ├── Matlab_4_1_3_Beltrami.mlx ├── Matlab_4_1_4_Wavelet1D.mlx ├── Matlab_4_1_5_WaveletTI.mlx ├── Matlab_4_1_6_Kalman.mlx ├── Matlab_4_2_1and2_Threshold.mlx ├── Matlab_4_2_3_RegionGrowing.mlx ├── Matlab_4_3_1_CopyImagePart.mlx ├── Matlab_4_3_2_CropImagePart.mlx ├── Nlm1D.mlx ├── Nlm2D.mlx ├── RegionBoundary.mlx ├── RegionGrowing.mlx ├── ThresholdMaxEntropy.mlx ├── ThresholdOtsu.mlx ├── WaveletTI.mlx ├── Wden.mlx └── data │ ├── brain.bmp │ ├── dragon.jpg │ ├── test.bmp │ └── test.jpg ├── 5. 智能优化算法案例 ├── Matlab_5_1_1_DE.mlx ├── Matlab_5_1_2_DE_Discrete.mlx ├── Matlab_5_1_3_DE_FittingExp.mlx ├── Matlab_5_2_1_GWO.mlx ├── Matlab_5_2_2_GWOCS.mlx ├── Matlab_5_3_1_PSO.mlx ├── Matlab_5_3_2_PSO_Discrete.mlx ├── Matlab_5_3_3_PSO_FittingExp.mlx ├── Matlab_5_4_1_RandWalk.mlx ├── Matlab_5_5_1_SA_TSP.mlx ├── Matlab_5_5_2_SA_FittingExp.mlx ├── Matlab_5_6_1_SSA.mlx ├── Matlab_5_7_1_STA.mlx ├── Matlab_5_7_2_STA_Improved.mlx ├── Matlab_5_8_1_WOA.mlx ├── Matlab_5_9_1_DBO.mlx └── data │ └── CityCoordinates.txt ├── 6. AppDesigner案例 ├── ParaTransmit │ ├── ParaTransmitFig1.mlapp │ └── ParaTransmitFig2.mlapp ├── SaveAxesAsImage │ └── SaveAxesAsImage.mlapp ├── SimpleCal │ └── SimpleCal.mlapp ├── SimpleImageToData │ ├── 1.bmp │ ├── 1.jpg │ ├── 1.txt │ ├── 2.txt │ ├── SimpleImageToData.mlapp │ ├── demo1.jpg │ ├── demo2.jpg │ ├── test1.bmp │ └── test2.bmp ├── SimpleMemo │ └── SimpleMemo.mlapp ├── SimpleQRcode │ ├── SimpleQRcode.mlapp │ ├── zhihu.png │ └── zxing.jar └── Tictactoe │ └── Tictactoe.mlapp ├── 7. 神经网络和机器学习案例 ├── Matlab_7_1_1_BP_Regression.mlx ├── Matlab_7_1_2_BP_Prediction.mlx ├── Matlab_7_1_3_BP_PredictionFuture.mlx ├── Matlab_7_1_4_BP_Classification.mlx ├── Matlab_7_2_1_LibsvmClassify.mlx ├── Matlab_7_2_2_LibsvmPredictionStock.mlx ├── Matlab_7_3_1_LSTM_Classify.mlx ├── Matlab_7_3_2_LSTM_Prediction.mlx ├── Matlab_7_3_3_LSTM_TimeSeries_forecasting.mlx ├── Matlab_7_4_1_ELM_Classification.mlx ├── Matlab_7_4_2_ELM_Regression.mlx ├── Matlab_7_4_3_SupervisedRegression.mlx └── data │ ├── 000001.xlsx │ ├── JapaneseVowels.mat │ ├── c1.mat │ ├── c2.mat │ ├── c3.mat │ ├── c4.mat │ ├── data_classification.mat │ ├── data_regression.mat │ ├── heart_scale │ └── zb.xlsx ├── LICENSE └── README.md /.gitignore: -------------------------------------------------------------------------------- 1 | # Prerequisites 2 | *.d 3 | 4 | # Compiled Object files 5 | *.slo 6 | *.lo 7 | *.o 8 | *.obj 9 | 10 | # Precompiled Headers 11 | *.gch 12 | *.pch 13 | 14 | # Compiled Dynamic libraries 15 | *.so 16 | *.dylib 17 | *.dll 18 | 19 | # Fortran module files 20 | *.mod 21 | *.smod 22 | 23 | # Compiled Static libraries 24 | *.lai 25 | *.la 26 | *.a 27 | *.lib 28 | 29 | # Executables 30 | *.exe 31 | *.out 32 | *.app 33 | -------------------------------------------------------------------------------- /1. 基础函数使用案例/Matlab_1_1_10_Perms.mlx: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- 1 | 1.42564385120145 46664.0071835617 -361.723628266118 1.43453776778475 2.27890158958207 1491.23699249997 2.66016443927362 2 | 46664.0071835617 2561658858.23584 -30028903.1298037 47411.4041209533 107097.080643255 129526675.413329 143227.334019439 3 | -361.723628266118 -30028903.1298037 464526.466675988 -373.437398450597 -1274.63678807808 -2315792.08994344 -1969.46141027209 4 | 1.43453776778475 47411.4041209533 -373.437398450597 1.44372953400922 2.31104869171119 1551.42174553270 2.71062044898402 5 | 2.27890158958207 107097.080643255 -1274.63678807808 2.31104869171119 5.20067695242223 7813.59509020671 7.98532576281474 6 | 1491.23699249997 129526675.413329 -2315792.08994344 1551.42174553270 7813.59509020671 25339933.2510429 20655.0780322129 7 | 2.66016443927362 143227.334019439 -1969.46141027209 2.71062044898402 7.98532576281474 20655.0780322129 50.0000010000000 -------------------------------------------------------------------------------- /1. 基础函数使用案例/data/Tnew.txt: -------------------------------------------------------------------------------- 1 | 工程名称,最高报价,下浮率,工资,P值下浮率 2 | new1,1538103.85,0.0562000023600486,231307.23,0.089434200500253 3 | 2020年中心2,3106755.37,0.0873499994948105,640440.44,0.102541007735852 4 | 2020年中心3,2992051.2,0.119999998663124,670238.11,0.136724423885379 5 | new1,1538103.85,0.0562000023600486,231307.23,0.089434200500253 6 | 2020年中心2,3106755.37,0.0873499994948105,640440.44,0.102541007735852 7 | 2020年中心3,2992051.2,0.119999998663124,670238.11,0.136724423885379 8 | -------------------------------------------------------------------------------- /1. 基础函数使用案例/data/Tnew.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AFei19911012/MatlabSamples/85028ac3f1e0ee760100357d8d07915da931611f/1. 基础函数使用案例/data/Tnew.xlsx 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-------------------------------------------------------------------------------- /1. 基础函数使用案例/data/demo.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/AFei19911012/MatlabSamples/85028ac3f1e0ee760100357d8d07915da931611f/1. 基础函数使用案例/data/demo.pdf -------------------------------------------------------------------------------- /1. 基础函数使用案例/data/example1.json: -------------------------------------------------------------------------------- 1 | { 2 | "firstName": "John", 3 | "lastName": "Smith", 4 | "age": 25, 5 | "address": 6 | { 7 | "streetAddress": "21 2nd Street", 8 | "city": "New York", 9 | "state": "NY", 10 | "postalCode": "10021" 11 | }, 12 | "phoneNumber": 13 | [ 14 | { 15 | "type": "home", 16 | "number": "212 555-1234" 17 | }, 18 | { 19 | "type": "fax", 20 | "number": "646 555-4567" 21 | } 22 | ] 23 | } 24 | -------------------------------------------------------------------------------- /1. 基础函数使用案例/data/hex_binary.txt: -------------------------------------------------------------------------------- 1 | 0x00FF, 0b11111111, C7F9, Device1 2 | 0x0100, 0b00000100, 05BF, Device2 3 | 0xABCD, 0b10000001, F00F, Device3 -------------------------------------------------------------------------------- /1. 基础函数使用案例/data/pdf_text.txt: -------------------------------------------------------------------------------- 1 | Matlab案例代码解析 2 | 1. 基础函数使用案例 3 | 1.2 文件读写 4 | 1.2.7 读取pdf文件 5 | • pdfbox.jar下载链接：https://pdfbox.apache.org/download.cgi 6 | • 提取特定字段：contains、strfind 、 split 、strip、deblank 7 | • ASCII码：回车，13；换行，10；空格，32 8 | • 未解决问题：[WARN] PDCIDFontType0 - Using fallback AdobeFangsongStd-Regular for CID- 9 | keyed font STSong-Light 10 | clear;clc; 11 | % 这里是 pdfbox.jar 所在目录 12 | pdfbox_path = 'D:\MyPrograms\Matlab2016B\toolbox\pdfbox-app-2.0.22.jar'; 13 | cleanUp = onCleanup(@()javarmpath(pdfbox_path)); 14 | javaaddpath(pdfbox_path); 15 | pdfdoc = org.apache.pdfbox.pdmodel.PDDocument; 16 | % 老版本可以直接文件名 17 | file = java.io.File('data\demo.pdf'); 18 | doc = pdfdoc.load(file); 19 | doc.isEncrypted; 20 | reader = org.apache.pdfbox.text.PDFTextStripper; 21 | pdfstr = reader.getText(doc); 22 | [WARN] FileSystemFontProvider - New fonts found, font cache will be re-built 23 | [WARN] FileSystemFontProvider - Building on-disk font cache, this may take a while 24 | [WARN] FileSystemFontProvider - Finished building on-disk font cache, found 570 fonts 25 | pdfstr = char(pdfstr); 26 | % 去掉尾部的空白 27 | pdfstr = deblank(pdfstr) 28 | pdfstr = 29 | '需求分析：利用 pdfbox 读取 PDF 文件并提取特定字段 30 | • pdfbox.jar下载链接：https://pdfbox.apache.org/download.cgi 31 | • 提取特定字段：contains、strfind 、 split 、strip、deblank 32 | • ASCII码：回车，13；换行，10；空格，32 33 | • 未解决问题：[WARN] PDCIDFontType0 - Using fallback AdobeFangsongStd-Regular for CID- 34 | keyed font STSong-Light 35 | clear;clc; 36 | % 这里是 pdfbox.jar 所在目录 37 | pdfbox_path = 'D:\MyPrograms\Matlab2016B\toolbox\pdfbox-app-2.0.22.jar'; 38 | cleanUp = onCleanup(@()javarmpath(pdfbox_path)); 39 | javaaddpath(pdfbox_path); 40 | pdfdoc = org.apache.pdfbox.pdmodel.PDDocument; 41 | % 老版本可以直接文件名 42 | file = java.io.File('DemoPdfRead.pdf'); 43 | doc = pdfdoc.load(file); 44 | doc.isEncrypted; 45 | reader = org.apache.pdfbox.text.PDFTextStripper; 46 | pdfstr = reader.getText(doc); 47 | pdfstr = char(pdfstr); 48 | % 去掉尾部的空白 49 | 1 50 | pdfstr = deblank(pdfstr) 51 | doc.close; 52 | pdfdoc.close; 53 | % 保存成文本 54 | fid = fopen('pdf_text.txt', 'wt'); 55 | fprintf(fid, '%s', pdfstr); 56 | fclose(fid); 57 | % 查找指定字段 58 | str = 'pdfbox'; 59 | index = strfind(pdfstr, str) 60 | 1' 61 | doc.close; 62 | pdfdoc.close; 63 | % 保存成文本 64 | fid = fopen('data\pdf_text.txt', 'wt'); 65 | fprintf(fid, '%s', pdfstr); 66 | fclose(fid); 67 | % 查找指定字段 68 | str = 'pdfbox'; 69 | index = strfind(pdfstr, str) 70 | index = 1×11 71 | 9 36 59 294 311 360 419 447 482 629 883 72 | 2 -------------------------------------------------------------------------------- /1. 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-------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2019 ff_Wang1012 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # MatlabSamples 4 | 5 | Matlab 学习历程，案例记录于此 :sweat_smile: 6 | 7 | 有新的案例会更新，目录不更新了 :zap: 8 | 9 | ``` 10 | 【Matlab案例代码解析】 https://www.zhihu.com/column/c_1491138434131083264  11 | Github https://github.com/AFei19911012/MatlabSamples 12 | ``` 13 | 14 | # 内容结构 15 | 16 | Matlab案例代码解析 17 | 18 | \1. 基础函数使用案例 19 | 20 | 1.1 基础知识技巧 21 | 22 | 1.1.1 统计字符串中不同数组、字母、其它字符的个数 23 | 24 | 1.1.2 考拉兹猜想（角谷猜想） 25 | 26 | 1.1.3 用递归方式设计阶乘函数 27 | 28 | 1.1.4 colorbar设置指数上标 29 | 30 | 1.1.5 Axis铺满整个figure 31 | 32 | 1.1.6 标题、标签、注释换行 33 | 34 | 1.1.7 批量获取文件夹下指定类型的文件名 35 | 36 | 1.1.8 标题设置为LaTeX文本格式 37 | 38 | 1.1.9 批量读取图像文件 39 | 40 | 1.1.10 递归法实现数字排列组合 41 | 42 | 1.1.11 将数据中连续3个或以上的相同数字替换为0 43 | 44 | 1.1.12 四叶玫瑰数 45 | 46 | 1.1.13 屏幕截图和处理 47 | 48 | 1.1.14 生成特殊格式矩阵 49 | 50 | 1.1.15 匹配一组数据在另一组数据中的位置 51 | 52 | 1.1.16 三维散点插值成曲面 53 | 54 | 1.1.17 gridfit散点插值成曲面 55 | 56 | 1.2 文件读写 57 | 58 | 1.2.1 文本数据读写 59 | 60 | 1.2.2 readtable、writetable、readdata、writedata读写文本 61 | 62 | 1.2.3 OLE方式写入Excel 63 | 64 | 1.2.4 OLE方式写入Word 65 | 66 | 1.2.5 读取视频每一帧并保存 67 | 68 | 1.2.6 读写json文件 69 | 70 | 1.2.7 读取pdf文件 71 | 72 | 1.3 知乎提问 73 | 74 | 1.3.1 Matlab如何将绘图保存为视频？ 75 | 76 | 1.3.2 matlab怎么生成一个随机的01矩阵？ 77 | 78 | \2. 典型绘图案例 79 | 80 | 2.1 优雅的绘图颜色 81 | 82 | 2.1.1 颜色模板 83 | 84 | 2.1.2 定制colormap 85 | 86 | 2.2 二维绘图 87 | 88 | 2.2.1 曲线图、散点图 89 | 90 | 2.2.2 带有误差线的柱状图 91 | 92 | 2.2.3 简单曲线之间填充 93 | 94 | 2.2.4 复杂函数曲线之间填充 95 | 96 | 2.2.5 渐变色曲线、渐变色填充 97 | 98 | 2.2.6 带箭头曲线 99 | 100 | 2.2.7 多个Y轴 101 | 102 | 2.2.8 旋转多边形 103 | 104 | 2.2.9 带箭头流线 105 | 106 | 2.2.10 极坐标绘图技巧 107 | 108 | 2.2.11 条形分布图 109 | 110 | 2.3 三维绘图 111 | 112 | 2.3.1 给球面贴背景图 113 | 114 | 2.3.2 三维矢量场图 115 | 116 | 2.3.3 单独设置子图的colormap 117 | 118 | 2.3.4 曲面裁剪 119 | 120 | 2.3.5 三维曲线、散点图 121 | 122 | 2.3.6 等高线图 123 | 124 | 2.4 四维绘图 125 | 126 | 2.4.1 slice切片显示 127 | 128 | 2.5 函数方程可视化 129 | 130 | 2.5.1 一元方程 131 | 132 | 2.5.2 二元方程 133 | 134 | 2.5.3 三元方程 135 | 136 | 2.6 特殊绘图 137 | 138 | 2.6.1 动态趋势线可视化 139 | 140 | 2.6.2 Newton-Raphson、Julia分形 141 | 142 | 2.6.3 分形树叶 143 | 144 | 2.6.4 在指定区域内随机生成不相交不相切的圆 145 | 146 | 2.6.5 创建gif动图 147 | 148 | 2.6.6 梯度下降法的下降方向 149 | 150 | 2.6.7 目标沿指定轨迹运动 151 | 152 | 2.6.8 看起来像拼接两个Axis 153 | 154 | 2.6.9 设置特殊的图例 155 | 156 | 2.6.10 甲烷模型 157 | 158 | 2.6.11 在随机圆里产生随机点 159 | 160 | 2.6.12 斜线填充的曲线 161 | 162 | 2.6.13 球板模型 163 | 164 | 2.6.14 BP神经网络图 165 | 166 | 2.6.15 由一系列圆构成的圆环 167 | 168 | 2.6.16 棋盘格 169 | 170 | 2.6.17 Matlab绘图显示动画效果的八个案例 171 | 172 | 2.7 知乎提问 173 | 174 | 2.7.1 如何实现数据可视化? 175 | 176 | 2.7.2 二维的曲线图怎么转化为三维的曲面图? 177 | 178 | 2.7.3 请问这种图是Matlab画出来的吗？ 179 | 180 | 2.7.4 面积图与折线图如何组合在一起？ 181 | 182 | 2.7.5 多个折线图并列显示且具备各自独立坐标系 183 | 184 | \3. 科学计算案例 185 | 186 | 3.1 数值分析 187 | 188 | 3.1.1 二分法搜索 189 | 190 | 3.1.2 二阶ODE求解 191 | 192 | 3.1.3 显式Euler、隐式Euler、改进Euler、Runge-Kutta 193 | 194 | 3.1.4 Gauss消元法求解线性方程组 195 | 196 | 3.1.5 散点拟合圆 197 | 198 | 3.1.6 CVX工具箱求解凸优化问题 199 | 200 | 3.1.7 Trapezoidal数值积分问题 201 | 202 | 3.1.8 高斯拟合法确定光斑中心 203 | 204 | 3.1.9 SVD求解病态线性方程组 205 | 206 | 3.1.10 数值积分问题 207 | 208 | 3.1.11 Lorenz曲线 209 | 210 | 3.1.12 Simpson积分 211 | 212 | 3.1.13 对超松弛迭代法求解线性方程组 213 | 214 | 3.1.14 PLS回归 215 | 216 | 3.2 最优化 217 | 218 | 3.2.1 梯度下降法实现曲线拟合 219 | 220 | 3.2.2 Adagrad多元非线性回归 221 | 222 | 3.2.3 数据拟合通用方法总结 223 | 224 | 线性拟合 225 | 226 | 多项式拟合 227 | 228 | 多元线性拟合 229 | 230 | 多元多项式拟合 231 | 232 | 非线性拟合 233 | 234 | 3.2.4 黄金分割法求区间最小值点 235 | 236 | 3.2.5 二次插值法求解极值 237 | 238 | 3.2.6 一维线搜索：Armijo、Goldstein、Wolfe准则 239 | 240 | 3.2.7 进退法确定搜索最小值区间 241 | 242 | 3.2.8 单纯形法求解多维无约束问题 243 | 244 | 3.2.9 修正牛顿法求解无约束问题 245 | 246 | 3.2.10 FR非线性共轭梯度法求解无约束问题 247 | 248 | 3.2.11 Broyden族算法求解无约束问题 249 | 250 | 3.2.12 BFGS算法求解无约束问题 251 | 252 | 3.2.13 信頼域算法实现数据拟合 253 | 254 | 3.2.14 BFGS信赖域方法求解函数极小值 255 | 256 | 3.2.15 Dogleg信頼域算法求解函数极小值 257 | 258 | 3.2.16 牛顿型信赖域方法求解无约束问题 259 | 260 | 3.2.17 核磁共振T2反演 261 | 262 | 3.3 插值 263 | 264 | 3.3.1 拉格朗日插值 265 | 266 | 3.3.2 样条插值 267 | 268 | 3.4 解非线性方程 269 | 270 | 3.4.1 二分法求解非线性方程 271 | 272 | 3.4.2 黄金分割法求解非线性方程 273 | 274 | 3.4.3 牛顿法解非线性方程 275 | 276 | 3.4.4 牛顿下山法求解非线性方程组 277 | 278 | \4. 图像信号处理案例 279 | 280 | 4.1 滤波 281 | 282 | 4.1.1 一维非局部均值滤波 283 | 284 | 4.1.2 二维非局部均值滤波 285 | 286 | 4.1.3 Beltrami滤波 287 | 288 | 4.1.4 小波滤波 289 | 290 | 4.1.5 T1小波滤波 291 | 292 | 4.1.6 卡尔曼滤波 293 | 294 | 4.2 图像分割 295 | 296 | 4.2.1 大津法（Otsu） 297 | 298 | 4.2.2 最大熵 299 | 300 | 4.2.3 区域生长 301 | 302 | 4.3 知乎提问 303 | 304 | 4.3.1 matlab如何将图a中某一部分复制到图b中的相同位置上？ 305 | 306 | 4.3.2 MATLAB 求图像的部分区域平均灰度值？ 307 | 308 | \5. 智能优化算法案例 309 | 310 | 5.1 差分进化（DE） 311 | 312 | 5.1.1 DE求解函数极值 313 | 314 | 5.1.2 离散DE求解函数极值 315 | 316 | 5.1.3 DE实现指数拟合 317 | 318 | 5.2 灰狼（GWO） 319 | 320 | 5.2.1 GWO求解函数极值 321 | 322 | 5.2.2 GWOCS求解函数极值 323 | 324 | 5.3 粒子群（PSO） 325 | 326 | 5.3.1 PSO求解函数极值 327 | 328 | 5.3.2 离散PSO求解函数极值 329 | 330 | 5.3.3 PSO实现指数拟合 331 | 332 | 5.4 随机游走（RandWalk） 333 | 334 | 5.4.1 RandWalk求解函数极值 335 | 336 | 5.5 模拟退火（SA） 337 | 338 | 5.5.1 SA求解旅行商（TSP） 339 | 340 | 5.5.2 SA实现指数拟合 341 | 342 | 5.6 樽海鞘（SAA） 343 | 344 | 5.6.1 SAA求解函数极值 345 | 346 | 5.7 状态转移（STA） 347 | 348 | 5.7.1 STA求解函数极值 349 | 350 | 5.7.2 改进STA求解函数极值 351 | 352 | 5.8 鲸鱼（WOA） 353 | 354 | 5.8.1 WOA求解函数极值 355 | 356 | \6. AppDesigner案例 357 | 358 | 6.1 基础知识 359 | 360 | 6.1.1 不同界面之间传递参数 361 | 362 | 6.1.2 坐标轴保存带图例图像 363 | 364 | 6.2 小工具 365 | 366 | 6.2.1 简单计算器 367 | 368 | 6.2.2 简单备忘录 369 | 370 | 6.2.3 简单二维码生成 371 | 372 | 6.2.4 图像曲线数据提取 373 | 374 | 6.3 小游戏 375 | 376 | 6.3.1 简单井字棋游戏 377 | 378 | \7. 神经网络和机器学习案例 379 | 380 | 7.1 BP神经网络 381 | 382 | 7.1.1 BP数据回归 383 | 384 | 7.1.2 BP根据已有数据预测未知数据 385 | 386 | 7.1.3 BP预测未来数据 387 | 388 | 7.1.4 BP分类语音识别 389 | 390 | 7.2 SVM 391 | 392 | 7.2.1 SVM分类 393 | 394 | 7.2.2 SVM预测上证指数 395 | 396 | 7.3 LSTM 397 | 398 | 7.3.1 LSTM分类 399 | 400 | 7.3.2 LSTM预测 401 | 402 | 7.3.3 LSTM时序预测 403 | 404 | 7.4 机器学习 405 | 406 | 7.4.1 ELM分类 407 | 408 | 7.4.2 ELM回归 409 | 410 | 7.4.3 图解机器学习：有监督回归 411 | 412 | [![LZoUzj.png](https://s1.ax1x.com/2022/04/12/LZoUzj.png)](https://imgtu.com/i/LZoUzj) 413 | 414 | --------------------------------------------------------------------------------