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[OtherINTRODUCTION TO MATLAB FOR

Description: 1 Tutorial lessons 1 1 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Basic features . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.3 A minimum MATLAB session . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.3.1 Starting MATLAB . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.3.2 Using MATLAB as a calculator . . . . . . . . . . . . . . . . . . . . . 4 1.3.3 Quitting MATLAB . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.4 Getting started . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.4.1 Creating MATLAB variables . . . . . . . . . . . . . . . . . . . . . . . 5 1.4.2 Overwriting variable . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.4.3 Error messages . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.4.4 Making corrections . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.4.5 Controlling the hierarchy of operations or precedence . . . . . . . . . 6 1.4.6 Controlling the appearance of °oating point number . . . . . . . . . . 8 1.4.7 Managing the workspace . . . . . . . . . . . . . . . . . . . . . . . . . 8 1.4.8 Keeping track of your work session . . . . . . . . . . . . . . . . . . . 9 1.4.9 Entering multiple statements per line . . . . . . . . . . . . . . . . . . 9 1.4.10 Miscellaneous commands . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.4.11 Getting help . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.5 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 2 Tutorial lessons 2 12 2.1 Mathematical functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 2.1.1 Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 2.2 Basic plotting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 2.2.1 overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 2.2.2 Creating simple plots . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 2.2.3 Adding titles, axis labels, and annotations . . . . . . . . . . . . . . . 15 2.2.4 Multiple data sets in one plot . . . . . . . . . . . . . . . . . . . . . . 16 2.2.5 Specifying line styles and colors . . . . . . . . . . . . . . . . . . . . . 17 2.3 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 2.4 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.5 Matrix generation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.5.1 Entering a vector . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 2.5.2 Entering a matrix . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 2.5.3 Matrix indexing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 2.5.4 Colon operator . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 2.5.5 Linear spacing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 2.5.6 Colon operator in a matrix . . . . . . . . . . . . . . . . . . . . . . . . 22 2.5.7 Creating a sub-matrix . . . . . . . . . . . . . . . . . . . . . . . . . . 23 2.5.8 Deleting row or column . . . . . . . . . . . . . . . . . . . . . . . . . . 25 2.5.9 Dimension . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 2.5.10 Continuation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 2.5.11 Transposing a matrix . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 2.5.12 Concatenating matrices . . . . . . . . . . . . . . . . . . . . . . . . . . 26 2.5.13 Matrix generators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 2.5.14 Special matrices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 2.6 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 3 Array operations and Linear equations 30 3.1 Array operations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 3.1.1 Matrix arithmetic operations . . . . . . . . . . . . . . . . . . . . . . . 30 3.1.2 Array arithmetic operations . . . . . . . . . . . . . . . . . . . . . . . 30 3.2 Solving linear equations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 3.2.1 Matrix inverse . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 3.2.2 Matrix functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 3.3 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 4 Introduction to programming in MATLAB 35 4.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 4.2 M-File Scripts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 4.2.1 Examples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 4.2.2 Script side-eRects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 4.3 M-File functions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 4.3.1 Anatomy of a M-File function . . . . . . . . . . . . . . . . . . . . . . 38 4.3.2 Input and output arguments . . . . . . . . . . . . . . . . . . . . . . . 40 4.4 Input to a script ¯le . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 4.5 Output commands . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 4.6 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 5 Control °ow and operators 43 5.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 5.2 Control °ow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 5.2.1 The ``if...end'' structure . . . . . . . . . . . . . . . . . . . . . . . 43 5.2.2 Relational and logical operators . . . . . . . . . . . . . . . . . . . . . 45 5.2.3 The ``for...end'' loop . . . . . . . . . . . . . . . . . . . . . . . . . 45 5.2.4 The ``while...end'' loop . . . . . . . . . . . . . . . . . . . . . . . 46 5.2.5 Other °ow structures . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 5.2.6 Operator precedence . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 5.3 Saving output to a ¯le . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 5.4 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 6 Debugging M-¯les 49 6.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 6.2 Debugging process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 6.2.1 Preparing for debugging . . . . . . . . . . . . . . . . . . . . . . . . . 50 6.2.2 Setting breakpoints . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 6.2.3 Running with breakpoints . . . . . . . . . . . . . . . . . . . . . . . . 50 6.2.4 Examining values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 6.2.5 Correcting and ending debugging . . . . . . . . . . . . . . . . . . . . 51 6.2.6 Ending debugging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 6.2.7 Correcting an M-¯le . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
Platform: | Size: 258288 | Author: taffy320 | Hits:

[OtherBAM_NN

Description: 用外积和法设计的权矩阵,不能保证p对模式全部正确的联想。若对记忆模式对加以限制(即要求p个记忆模式Xk是两两正交的),则用外积和法设计的BAM网具有较好的联想能力。 在难以保证要识别的样本(或记忆模式)是正交的情况下,如何求权矩阵,并保证具有较好的联想能力?这个问题在用BAM网络实现对字符的识别程序仿真中得到体现。我们做过尝试,用伪逆法求权矩阵,虽然能对未加干扰的字符全部进行识别,但对加有噪声的字符识别效果很差。至于采用改变结构和其他算法的方法来求权矩阵,将是下一步要做的工作。-foreign plot and the design of the power matrix, p is no guarantee that all the correct pattern association. If memory model, the limit (that is, p-memory model Xk is orthogonal to the February 2), then foreign plot and design of the BAM network has good ability to think. It is difficult to ensure the samples to identify (or memory mode) is orthogonal circumstances, the right to seek ways matrix, and to ensure that the association has good ability? The problem with the BAM network of characters identification procedures simulation can be manifested. We did try to use pseudo- inverse matrix for the right, although they would not increase the interference of the characters in the identification of all, However, a pair of noise increases the effects of poor character recognition. As for the
Platform: | Size: 231424 | Author: 东方云 | Hits:

[Special Effectsinverseofmatrix

Description: 采用matlab求解矩阵的逆.本程序采用完全的c语言格式在matlab平台下编制-Using matlab to solve the inverse matrix. This procedure completely the c language format in the preparation of matlab platform
Platform: | Size: 1024 | Author: luozhenbao | Hits:

[Mathimatics-Numerical algorithmspower_method

Description: 幂法与反幂法求解矩阵特征值的C语言算法实现:本代码以Hilbert矩阵为计算对象,单纯运用C语言进行矩阵的操作以实现幂法与反幂法求解矩阵特征值的算法,应用Matlab软件对计算结果进行检验,计算结果准确无误。-Power law and inverse power method to solve matrix eigenvalue of the C language algorithm: Hilbert matrix of the code for the purpose of calculating the target, simple to use C language to realize the operation of matrix power method and inverse power method to solve matrix eigenvalue algorithm, application Matlab software for calculating the results of testing the accuracy of calculation results.
Platform: | Size: 10240 | Author: Michael_M | Hits:

[AlgorithmNumAna_GaussElim

Description: 这四个程序分别为高斯消去法、列主元消去法、全主元消去法解线性方程组和Gauss-Jordan消元法求矩阵的逆。   程序采用MATLAB语言开发,并在MATLAB6.5下测试通过。-The four procedures were Gaussian elimination, elimination method out PCA, PCA-wide elimination method solution of linear equations and Gauss-Jordan elimination method of inverse matrix. Procedures for the use of MATLAB language development, and under MATLAB6.5 test.
Platform: | Size: 5120 | Author: 高天 | Hits:

[Algorithminverse

Description: 用matlab写的五种矩阵求逆程序,里面含有说明文件-Using matlab to write five matrix inversion procedure, which contains documentation
Platform: | Size: 59392 | Author: wangweiming | Hits:

[AlgorithmminvbyGRE

Description: 用greville方法求逆矩阵,稍加改动可求广义逆矩阵-Greville method using inverse matrix, rectifiable modified generalized inverse matrix
Platform: | Size: 1024 | Author: yaoxie | Hits:

[matlabinv

Description: 该程序能够对于矩阵就行求逆运算,是一个质量比较高的程序。-The program can be on the line for the matrix inverse operation is a relatively high quality of procedures.
Platform: | Size: 2048 | Author: 张晨 | Hits:

[Special EffectsMATLAB

Description: 自己现在在做的论文用到灰度共生矩阵,找了好久都没找到很好用的,所以自己就编了个,不很完美,但绝对可用,已经实现过。包括灰度共生矩阵的生成以及一些特征参数。f1,二阶距。f2,对比度。f3,相关。f5,逆差距。f6,和平均。f7,和方差。f9,差平均。f10,差方差。请不吝赐教。-Now do their own papers in the gray co-occurrence matrix used to find for a long time to find no good use, so it编了个own, not very ideal, but it is available, have been implemented. Including the generation of gray-level co-occurrence matrix as well as some characteristic parameters. f1, the second order from. f2, contrast. f3, related. f5, inverse gap. f6, and the average. f7, and the variance. f9, the average difference. f10, difference variance. Please wing.
Platform: | Size: 2048 | Author: 周鹏 | Hits:

[Algorithmszjs1

Description: 矩阵求逆的算法,比较完备,基本上可以求任何矩阵的逆-Matrix inversion algorithm, a more complete, is basically the inverse matrix for any
Platform: | Size: 1024 | Author: zzz | Hits:

[matlabart

Description: 用于解反问题的代数重建法,对于Ax=b,输入矩阵A,列向量b,以及迭代步数k,可求的列向量x-Algebraic solution of the inverse problem for the reconstruction of France, for Ax = b, the input matrix A, the column vector b, as well as the number of iterations k, rectifiable column vector x
Platform: | Size: 1024 | Author: gongwei | Hits:

[Special Effectsmatrix

Description: 矩阵相乘和求逆,矩阵求逆进行LV分解,测试结果与matlab一样-Matrix multiplication and inverse, matrix inverse to LV decomposition, the same test results with matlab
Platform: | Size: 3072 | Author: 胡易 | Hits:

[matlabinverse

Description: Matrix inverse by Gauss-Jordan elimination
Platform: | Size: 1024 | Author: katore vishal | Hits:

[Mathimatics-Numerical algorithmsgaussian_jodan

Description: 用选主元的Gauss-Jordan方法计算矩阵的逆矩阵 matlab-With pivoting Gauss-Jordan method of inverse matrix matlab
Platform: | Size: 1024 | Author: zwx | Hits:

[matlabinv_matrix

Description: 矩阵分解求逆中的Cholkski分解算法的Matlab仿真。-Inverse matrix decomposition decomposition algorithm in the Matlab simulation Cholkski.
Platform: | Size: 1024 | Author: AC Milan | Hits:

[matlabNew-Folder

Description: inverse matrix matlab program
Platform: | Size: 11264 | Author: baseem khan | Hits:

[matlabMoore-Penrose-pseudoinverse-of-matrix---MATLAB.ra

Description: document shows process of moore rseudo inverse matrix calculation
Platform: | Size: 77824 | Author: Anuj Shaw | Hits:

[matlabtoepliez-matrix-matlab-with

Description: 对称toepliez矩阵求逆的matlab实现-Symmetrical toepliez inverse matrix matlab
Platform: | Size: 250880 | Author: xiongyue | Hits:

[OtherLaplace--generalized-inverse

Description: matlab编程计算Laplace矩阵的广义逆矩阵-Generalized inverse matrix calculation of Laplace matrices matlab programming
Platform: | Size: 1024 | Author: jby | Hits:

[Communication-Mobilematlab代码

Description: LM 算法最小二乘法的概念,最小二乘法要关心的是对应的cost function是线性还是非线性函数,不同的方法计算效率如何,要不要求逆,矩阵的维数。(The concept of the least square method of the lm algorithm, the least square method should be concerned whether the corresponding cost function is a linear or nonlinear function, the different methods calculate the efficiency, or the inverse, the dimension of the matrix.)
Platform: | Size: 49152 | Author: 华南虎2 | Hits:
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