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Matrix-vector

  • Train a two layer neural network with a recursive prediction error % algorithm ("recursive Gauss-Ne

    Train a two layer neural network with a recursive prediction error % algorithm ("recursive Gauss-Newton"). Also pruned (i.e., not fully % connected) networks can be trained. % % The activation functions can either be linear or tanh. The network % architecture is defined by the matrix NetDef , which has of two % rows. The first row specifies the hidden layer while the second % specifies the output layer.

    標(biāo)簽: recursive prediction algorithm Gauss-Ne

    上傳時(shí)間: 2016-12-27

    上傳用戶:ljt101007

  • This software is a Matlab implementation of restricted sampling from Gaussian distribution, and samp

    This software is a Matlab implementation of restricted sampling from Gaussian distribution, and sample x (column vector) from N(x_mu, x_var), restricted in x_min<=x<=x_max.

    標(biāo)簽: implementation distribution restricted Gaussian

    上傳時(shí)間: 2016-12-30

    上傳用戶:6546544

  • Description The MUSIC algorithm, proposed by Schmidt, first estimates a basis for the noise subspace

    Description The MUSIC algorithm, proposed by Schmidt, first estimates a basis for the noise subspace and then determines the peaks the associated angles provide the DOA estimates. The MATLAB code for the MUSIC algorithm is sampled by creating an array of steering vectors corresponding to the angles in the vector angles.

    標(biāo)簽: Description algorithm estimates proposed

    上傳時(shí)間: 2013-12-08

    上傳用戶:hgy9473

  • Q: 我應(yīng)該怎樣處理內(nèi)存泄漏? A: 很簡(jiǎn)單

    Q: 我應(yīng)該怎樣處理內(nèi)存泄漏? A: 很簡(jiǎn)單,只要寫“不漏”的代碼就完事了啊。顯然,如果你的代碼到處是new、delete、指針運(yùn)算,那你想讓它“不漏”都難。不管你有多么小心謹(jǐn)慎,君為人,非神也,錯(cuò)誤在所難免。最終你會(huì)被自己越來(lái)越復(fù)雜的代碼逼瘋的——你將投身于與內(nèi)存泄漏的奮斗之中,對(duì)bug們不離不棄,直至山峰沒(méi)有棱角,地球不再轉(zhuǎn)動(dòng)。而能讓你避免這樣困境的技巧也不復(fù)雜:你只要倚重隱含在幕后的分配機(jī)制——構(gòu)造和析構(gòu),讓C++的強(qiáng)大的類系統(tǒng)來(lái)助你一臂之力就OK了。標(biāo)準(zhǔn)庫(kù)中的那些容器就是很好的實(shí)例。它們讓你不必化費(fèi)大量的時(shí)間精力也能輕松愜意地管理內(nèi)存。我們來(lái)看看下面的示例代碼——設(shè)想一下,如果沒(méi)有了string和vector,世界將會(huì)怎樣?如果不用它們,你能第一次就寫出毫無(wú)內(nèi)存錯(cuò)誤的同樣功能代碼嗎?

    標(biāo)簽: 內(nèi)存泄漏

    上傳時(shí)間: 2017-01-25

    上傳用戶:alan-ee

  • Mapack可用來(lái)做矩陣運(yùn)算 Mapack is a .NET class library for basic linear algebra computations. It supports th

    Mapack可用來(lái)做矩陣運(yùn)算 Mapack is a .NET class library for basic linear algebra computations. It supports the following matrix operations and properties: Multiplication, Addition, Subtraction, Determinant, Norm1, Norm2, Frobenius Norm, Infinity Norm, Rank, Condition, Trace, Cholesky, LU, QR, Single Value decomposition, Least Squares solver, Eigenproblem solver, Equation System solver. The algorithms were adapted from Mapack for COM, Lapack and the Java Matrix Package.

    標(biāo)簽: Mapack computations supports algebra

    上傳時(shí)間: 2017-01-26

    上傳用戶:tb_6877751

  • 本文檔介紹了如何使用各種內(nèi)嵌工具

    本文檔介紹了如何使用各種內(nèi)嵌工具,函數(shù)和其他一些小技巧來(lái)加強(qiáng)使用matlab的速度和效率,是廣大愛(ài)好者必讀的文檔。具體內(nèi)容請(qǐng)參閱文檔。 Learn how to use the Profiler tool, vectorized functions, and other tricks to writing efficient MATLAB code. This article includes how to convert any array into a column vector, bounding a value without if statements, and repeating/tiling a vector without repmat. Contents: * The Profiler * Array Preallocation * JIT Acceleration * Vectorization * Inlining Simple Functions * Referencing Operations * Numerical Integration * Signal Processing * Miscellaneous Tricks

    標(biāo)簽: 文檔 如何使用 內(nèi)嵌

    上傳時(shí)間: 2013-12-11

    上傳用戶:cuiyashuo

  • The software is capable to simulate space time code [1] for QPSK modulation using different number o

    The software is capable to simulate space time code [1] for QPSK modulation using different number of state. Examples of generator matrix up to 256 stetes are provided. Variable signal to noise ratio (SNR) might be applied to produce bit error rate (BER) or frame error rate (FER) curves.

    標(biāo)簽: modulation different software simulate

    上傳時(shí)間: 2014-01-22

    上傳用戶:qq1604324866

  • SuperLU is a general purpose library for the direct solution of large, sparse, nonsymmetric systems

    SuperLU is a general purpose library for the direct solution of large, sparse, nonsymmetric systems of linear equations on high performance machines. The library is written in C and is callable from either C or Fortran. The library routines will perform an LU decomposition with partial pivoting and triangular system solves through forward and back substitution. The LU factorization routines can handle non-square matrices but the triangular solves are performed only for square matrices. The matrix columns may be preordered (before factorization) either through library or user supplied routines. This preordering for sparsity is completely separate from the factorization. Working precision iterative refinement subroutines are provided for improved backward stability. Routines are also provided to equilibrate the system, estimate the condition number, calculate the relative backward error, and estimate error bounds for the refined solutions.

    標(biāo)簽: nonsymmetric solution SuperLU general

    上傳時(shí)間: 2017-02-20

    上傳用戶:lepoke

  • Points in Euclidean space, implemented as double[].Includes simple geometric operations.Uses matrice

    Points in Euclidean space, implemented as double[].Includes simple geometric operations.Uses matrices a matrix is represented as an array of Pnts

    標(biāo)簽: implemented operations Euclidean geometric

    上傳時(shí)間: 2014-01-05

    上傳用戶:xiaoxiang

  • C:Documents and SettingsAdministrator桌面VC++多媒體特效制作百例CHAR09Matrix

    C:\Documents and Settings\Administrator\桌面\VC++多媒體特效制作百例\CHAR09\Matrix

    標(biāo)簽: SettingsAdministrator Documents Matrix CHAR

    上傳時(shí)間: 2014-12-04

    上傳用戶:libenshu01

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