登录
首页 » matlab » raytrace

raytrace

于 2015-01-24 发布 文件大小:7368KB
0 237
下载积分: 1 下载次数: 42

代码说明:

  里面是一个地震射线追踪的源码程序,还有相关的文档,适合学习地球物理专业的学生。(Inside is a seismic source ray tracing program, as well as related documentation for learning geophysics majors.)

文件列表:

raytrace
........\displaytools
........\............\bigfig.m,1167,2004-08-13
........\............\bigfont.m,2151,2002-05-28
........\............\boldlines.m,1889,2002-05-28
........\............\clearpicks.m,3173,2004-08-13
........\............\Contents.m,1656,2004-11-16
........\............\dbspec.m,4039,2004-08-13
........\............\flipx.m,233,2002-06-11
........\............\flipy.m,233,2002-06-11
........\............\greyfig.m,2910,2004-08-13
........\............\hideui.m,797,2002-05-28
........\............\plotimage.m,13215,2004-11-16
........\............\plotimage2.m,23234,2003-07-03
........\............\plotimage_setglobal.m,7424,2004-11-16
........\............\plotseis.m,7645,2004-08-13
........\............\plotseismic.m,19079,2004-08-13
........\............\plotseisva.m,23263,2004-08-13
........\............\private
........\............\.......\PI_axes_buttondown.m,452,2004-08-13
........\............\.......\PI_axis_options.asv,7744,2004-11-16
........\............\.......\PI_axis_options.m,7758,2004-11-16
........\............\.......\PI_ChangeProperties.m,3457,2004-08-13
........\............\.......\PI_Close.m,2083,2004-08-13
........\............\.......\PI_ClosePlotImage.m,1698,2004-08-13
........\............\.......\PI_DeletePickLine.m,799,2004-04-06
........\............\.......\PI_FigureSizeChange.asv,879,2004-04-06
........\............\.......\PI_FigureSizeChange.m,948,2004-08-13
........\............\.......\PI_flip.m,310,2004-04-06
........\............\.......\PI_Global.m,3238,2004-11-16
........\............\.......\PI_HeadOff.m,7119,2004-04-06
........\............\.......\PI_ImportPicks.m,2228,2004-04-06
........\............\.......\PI_init.m,8403,2004-11-16
........\............\.......\PI_init_image.m,11106,2004-11-16
........\............\.......\PI_KillLimitLines.m,1029,2004-08-13
........\............\.......\PI_limboxmaster.m,878,2004-04-06
........\............\.......\PI_limbox_transforms.m,3866,2004-08-13
........\............\.......\PI_limcentmove2.m,1870,2004-04-06
........\............\.......\PI_limlnfigurevis.m,655,2004-04-06
........\............\.......\PI_limlnmove2.m,1692,2004-04-06
........\............\.......\PI_limlnoptions.m,479,2004-08-13
........\............\.......\PI_limmoveend.m,3420,2004-08-13
........\............\.......\PI_limptmove.m,5049,2004-04-06
........\............\.......\PI_limptmove2.m,1861,2004-08-13
........\............\.......\PI_LmLnActivation.m,8225,2004-08-13
........\............\.......\PI_lmptenter.m,1563,2004-04-06
........\............\.......\PI_lmptreset.m,1522,2004-08-13
........\............\.......\PI_MovePickLine.m,1147,2004-04-06
........\............\.......\PI_MovePickLineEnd.m,1682,2004-04-06
........\............\.......\PI_MovePickLineMotion.m,2147,2004-08-13
........\............\.......\PI_MovePickLineStart.m,1539,2004-04-06
........\............\.......\PI_MovePickLineStop.m,663,2004-04-06
........\............\.......\PI_OpenFile.asv,21772,2004-04-06
........\............\.......\PI_OpenFile.m,21784,2004-11-16
........\............\.......\PI_pick.m,3496,2004-04-06
........\............\.......\PI_picklinemenu.m,1339,2004-04-06
........\............\.......\PI_PicksOpen.m,2890,2004-04-06
........\............\.......\PI_PicksSave.m,324,2004-08-13
........\............\.......\PI_PlotImageBrighten.m,472,2004-04-06
........\............\.......\PI_PlotImageColorMap.m,330,2004-04-06
........\............\.......\PI_positionaxes_linebuttondown.m,792,2004-08-13
........\............\.......\PI_positionaxes_linemotion.m,2293,2003-07-02
........\............\.......\PI_positionaxes_linemotionend.m,1711,2004-08-13
........\............\.......\PI_positionaxes_lineposition.m,798,2004-08-13
........\............\.......\PI_rescale.m,6959,2004-11-16
........\............\.......\PI_SaveFile.m,4310,2004-04-06
........\............\.......\PI_SpawnPlotImage.m,3978,2004-08-13
........\............\.......\PI_zoom.m,2651,2004-04-06
........\............\.......\PI_zoomfcnend.m,637,2004-08-13
........\............\.......\PI_zoominout.m,172,2004-04-06
........\............\.......\PI_zoomlock.m,1105,2004-08-13
........\............\.......\PI_zoomoptions.m,1174,2004-04-06
........\............\.......\PI_zoompick.m,1811,2004-11-16
........\............\.......\PI_zoomscroll.m,656,2004-08-13
........\............\.......\PI_zoomscrollmotion.m,1771,2004-04-06
........\............\.......\PI_zoom_slider.m,1771,2003-07-02
........\............\replotpicks.m,323,2002-05-28
........\............\seisclrs.m,1077,2002-05-28
........\............\unhideui.m,715,2002-05-28
........\............\whitefig.m,2899,2004-08-13
........\............\winextractor.m,18907,2005-02-03
........\............\wtva.m,8375,2004-08-13
........\............\xoff.m,205,2004-08-13
........\............\yoff.m,205,2004-08-13
........\raytrace
........\........\clearrays.m,3034,2004-08-13
........\........\Contents.m,1705,2004-03-15
........\........\demoprep.m,369,2002-05-28
........\........\demoprep2.m,352,2002-05-28
........\........\drawray.m,5317,2004-08-13
........\........\drayvec.m,3895,2004-08-13
........\........\drayveclin.m,2369,2004-08-13
........\........\eventraymig.m,3421,2004-08-13
........\........\eventraymod.m,3476,2004-08-13
........\........\marmousi_mod.mat,482640,2003-07-15
........\........\normray.m,4941,2004-08-13
........\........\normraymig.m,4475,2004-08-13
........\........\plotimageproperties.mat,751,2009-03-04
........\........\rayfan.m,4370,2004-08-13
........\........\rayfan_a.m,4335,2004-08-13

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • k_nn_classifier
    k最近邻分类器。编写的一个matlab函数。输入向量Z表示所属的类,返回一个向量,表示由k最近邻分类给定的。(k nearest neighbor classifier. Write a matlab function. Input vector Z that belongs to the class, returns a vector, expressed by the k nearest neighbor classification given.)
    2010-09-27 11:27:01下载
    积分:1
  • guanxing
    matlab 惯性导航基本算法程序 没有扩展功能和接口控制程序(inertial navigation algorithm matlab basic procedures do not extend the functionality and interface control procedures)
    2008-05-16 17:13:18下载
    积分:1
  • matlab45
    MATLAB数值分析与应算习题代码4 5节,用于学习交流,不可用商业用途。(MATLAB Numerical Analysis and Problem code 45 should be considered section for learning exchanges, can not be used for commercial purposes.)
    2010-05-14 13:40:14下载
    积分:1
  • rddata
    读取mit-bih心电信号数据的m文件,rddata.m,英文(Mit-bih read ECG data m file, rddata.m, English)
    2008-01-16 12:25:19下载
    积分:1
  • Poisson_2D
    Numerical solution of 2D Poisson equation (Matlab code + comments in Russian)(Numerical solution of 2D Poisson equation (Matlab code+ comments in Russian))
    2009-06-15 23:55:36下载
    积分:1
  • GApower
    genetic algorithm program for power system
    2011-05-29 03:45:07下载
    积分:1
  • kalman
    Matlab implementation for classic kalman filter predicting linear motion.
    2013-11-18 01:49:19下载
    积分:1
  • dft-fft
    fft and dft is done withought functions..
    2014-02-09 13:36:08下载
    积分:1
  • Adams
    Adams算法的matlab源程序。。。。。。。。。(Adams algorithm matlab source)
    2011-08-24 21:42:56下载
    积分:1
  • Comparison-of-Bayesian-and-fisher
    训练错误率和交叉验证错误率相等,在样本比较大时,这个结果是可以预期的;训练错误率一般低于测试错误率,但是当样本数据比较少时,实验也出现了意外,样本多的那组测试错误率比样本少的训练错误率还要小;在本实验中,同组数据的交叉验证错误率比独立测试错误率高,这个反常现象是因为样本的原因所致,交叉验证的样本小,而独立测试时所用训练样本数目大,因而出现这种情况。分类线上,fisher准则是一条直线,而贝叶斯分类器实际上是一个类似椭圆的封闭曲线;很明显,贝叶斯分类器比fisher分类器要好。(Training error rate and cross- validation error rates are equal, the larger the sample , this result is to be expected training error rate is generally lower than the test error rate , but when comparing the sample data came from the experiment there was an accident, that more samples group test error rate less than the training sample error rate is smaller In this experiment, the same set of data cross-validation error rate than independent test error rate, this anomaly is because the sample of reasons , cross-validation sample is small,And independent testing large number of training samples used , resulting in this situation.Classification online , fisher criterion is a straight line , while the Bayesian classifier is actually a closed curve similar to elliptical It is clear that the Bayesian classifier is better than the fisher classifier .)
    2012-02-02 20:49:02下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载