我试图实现三维点之间的三元组。我最终尝试使用这个库三元组。我使用了下面给出的例子,并尝试执行它。下面是代码
import org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer.Optimum;
import org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer;
import com.lemmingapex.trilateration.NonLinearLeastSquaresSolver;
import com.lemmingapex.trilateration.TrilaterationFunction;
public class Pointofintersection {
public static void main() {
// TODO Auto-generated method stub
double[][] positions = new double[][] { { 5.0, -6.0 }, { 13.0, -15.0 }, { 21.0, -3.0 }, { 12.4, -21.2 } };
double[] distances = new double[] { 8.06, 13.97, 23.32, 15.31 };
NonLinearLeastSquaresSolver solver = new NonLinearLeastSquaresSolver(new TrilaterationFunction(positions, distances), new LevenbergMarquardtOptimizer());
Optimum optimum = solver.solve();
double[] centroid = optimum.getPoint().toArray();
System.out.println(centroid);
//System.out.println(centroid[1]);
}
}
那么现在我应该期望什么类型的输出。我得到了一些奇怪的输出,我无法理解它本身。
-2.0433926409457167E-7d,
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-2.0599801342241997E-8d,
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};
LN_MANT
{
{+0.0d, +0.0d, }, // 0
{+9.760860120877624E-4d, -3.903230345984362E-11d, }, // 1
{+0.0019512202125042677d, -8.124251825289188E-11d, }, // 2
{+0.0029254043474793434d, -1.8374207360194882E-11d,}, // 3
{+0.0038986406289041042d, -2.1324678121885073E-10d,}, // 4
{+0.004870930686593056d, -4.5199654318611534E-10d,}, // 5
{+0.025073636323213577d, +1.2289023836765196E-9d, }, // 26
......
{+0.02602556347846985d, +1.7990281828096504E-9d, }, // 27
{+0.026976589113473892d, -1.4152718164638451E-9d, }, // 28
{+0.02792670577764511d, +7.568772963781632E-10d, }, // 29
{+0.0288759246468544d, -1.1449998592111558E-9d, }, // 30
{+0.029824241995811462d, -1.6850976862319495E-9d, }, // 31
{+0.030771657824516296d, +8.422373919843096E-10d, }, // 32
{+0.0317181795835495d, +6.872350402175489E-10d, }, // 33
{+0.03266380727291107d, -4.541194749189272E-10d, }, // 34
{+0.03360854089260101d, -8.9064764856495E-10d, }, // 35
{+0.034552380442619324d, +1.0640404096769032E-9d, }, // 36
{+0.0354953333735466d, -3.5901655945224663E-10d,}, // 37
{+0.03643739968538284d, -3.4829517943661266E-9d, }, // 38
{+0.037378571927547455d, +8.149473794244232E-10d, }, // 39
{+0.03831886500120163d, -6.990650304449166E-10d, }, // 40
{+0.03925827145576477d, +1.0883076226453258E-9d, }, // 41
{+0.040196798741817474d, +3.845192807999274E-10d, }, // 42
{+0.04113444685935974d, -1.1570594692045927E-9d, }, // 43
{+0.04207121580839157d, -1.8877045166697178E-9d, }, // 44
{+0.043007105588912964d, -1.6332083257987747E-10d,}, // 45
{+0.04394212365150452d, -1.7950057534514933E-9d, }, // 46
{+0.04487626254558563d, +2.302710041648838E-9d, }, // 47
{+0.045809537172317505d, -1.1410233017161343E-9d, }, // 48
{+0.04674194008111954d, -3.0498741599744685E-9d, }, // 49
{+0.04767347127199173d, -1.8026348269183678E-9d, }, // 50
{+0.04860413819551468d, -3.233204600453039E-9d, }, // 51
{+0.04953393340110779d, +1.7211688427961583E-9d, }, // 52
{+0.05046287178993225d, -2.329967807055457E-10d, }, // 53
{+0.05139094591140747d, -4.191810118556531E-11d, }, // 54
{+0.052318163216114044d, -3.5574324788328143E-9d, }, // 55
{+0.053244516253471375d, -1.7346590916458485E-9d, }, // 56
{+0.05417001247406006d, -4.343048751383674E-10d, }, // 57
{+0.055094651877880096d, +1.92909364037955E-9d, }, // 58
{+0.056018441915512085d, -5.139745677199588E-10d, }, // 59
{+0.05694137513637543d, +1.2637629975129189E-9d, }, // 60
{+0.05786345899105072d, +1.3840561112481119E-9d, }, // 61
{+0.058784693479537964d, +1.414889689612056E-9d, }, // 62
{+0.05970507860183716d, +2.9199191907666474E-9d, }, // 63
{+0.0606246218085289d, +7.90594243412116E-12d, }, // 64
{+0.06154331564903259d, +1.6844747839686189E-9d, }, // 65
{+0.06246116757392883d, +2.0498074572151747E-9d, }, // 66
{+0.06337818503379822d, -4.800180493433863E-9d, }, // 67
{+0.06429435312747955d, -2.4220822960064277E-9d, }, // 68
{+0.06520968675613403d, -4.179048566709334E-9d, }, // 69
{+0.06612417101860046d, +6.363872957010456E-9d, }, // 70
{+0.06703783571720123d, +9.339468680056365E-10d, }, // 71
{+0.06795066595077515d, -4.04226739708981E-9d, }, // 72
.......
{+0.47036975622177124d, +1.6922605350647674E-8d, }, // 615
{+0.4709796905517578d, +2.4667033200046904E-8d, }, // 616
.......
{+0.5952457189559937d, +3.67972590471072E-8d, }, // 833
{+0.595784068107605d, +4.566672575206695E-8d, }, // 834
{+0.5963221788406372d, +3.2813537149653483E-9d, }, // 835
{+0.5968599319458008d, +2.916199305533732E-8d, }, // 836
{+0.5973974466323853d, +4.410412409109416E-9d, }, // 837
{+0.5979346036911011d, +4.85464582112459E-8d, }, // 838
{+0.5984715223312378d, +4.267089756924666E-8d, }, // 839
{+0.5990082025527954d, -1.2906712010774655E-8d, }, // 840
{+0.5995445251464844d, +1.3319784467641742E-9d, }, // 841
{+0.6000806093215942d, -3.35137581974451E-8d, }, // 842
{+0.6006163358688354d, +2.0734340706476473E-9d, }, // 843
{+0.6011518239974976d, -1.0808162722402073E-8d, }, // 844
{+0.601686954498291d, +4.735781872502109E-8d, }, // 845
{+0.6022218465805054d, +5.76686738430634E-8d, }, // 846
{+0.6027565002441406d, +2.043049589651736E-8d, }, // 847
{+0.6032907962799072d, +5.515817703577808E-8d, }, // 848
{+0.6038248538970947d, +4.2947540692649586E-8d, }, // 849
{+0.6043586730957031d, -1.589678872195875E-8d, }, // 850
{+0.6048921346664429d, -1.8613847754677912E-9d, }, // 851
{+0.6054253578186035d, -3.3851886626187444E-8d, }, // 852
{+0.6059582233428955d, +7.64416021682279E-9d, }, // 853
.........
{+0.6872705221176147d, +4.995334552140326E-8d, }, // 1012
{+0.687761664390564d, -5.3763211240398744E-8d, }, // 1013
{+0.6882524490356445d, -4.0852427502515625E-8d, }, // 1014
{+0.688742995262146d, -3.0287143914420064E-8d, }, // 1015
{+0.6892333030700684d, -2.183125937905008E-8d, }, // 1016
{+0.6897233724594116d, -1.524901992178814E-8d, }, // 1017
{+0.6902132034301758d, -1.0305018010328949E-8d, }, // 1018
{+0.6907027959823608d, -6.764191876212205E-9d, }, // 1019
{+0.6911921501159668d, -4.391824838015402E-9d, }, // 1020
{+0.6916812658309937d, -2.9535446262017846E-9d, }, // 1021
{+0.6921701431274414d, -2.2153227096187463E-9d, }, // 1022
{+0.6926587820053101d, -1.943473623641502E-9d, }, // 1023
};
SINE_TABLE_A=
{
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};
SINE_TABLE_B=
{
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};
COSINE_TABLE_A=
{
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};
COSINE_TABLE_B=
{
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};
TANGENT_TABLE_A=
{
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};
TANGENT_TABLE_B=
{
+0.0d,
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-3.356118100840571E-7d,
};
所以,请让我知道,如果我做错了什么,或者它是真实的数据,我应该解析,并用于其他一些计算。
你能用这个系统打印一个双数组吗。出来println()和您正在做的一样?
double[] centroid = optimum.getPoint().toArray();
System.out.println(centroid);
您是否尝试过这样的方法:打印Java数组的最简单方法是什么?
我一直在通过维基百科上的页面阅读三边测量,并试图制作一个我自己的二维版本。然而,我遇到了一些问题,我希望对数学有更好理解的人能帮我解决。 我是和C#一起做这件事的。 我的场景包括屏幕中央的3个球体。球体1总是在标记0,0,0。在这些球体旁边,我有一个立方体,我想移动到3个球体的交叉点。 到目前为止,这是我的代码: P1,P2和P3是我对维基页面以下数学公式的解释: 我的X和Y公式如下: 当我将所有
我试图用Javascript使用https://github.com/gheja/trilateration.js而且它似乎在起作用。然而,某些简单的情况应该产生解决方案,但事实并非如此。例如: 这似乎是一个简单得可笑的例子,应该在x:0,y:0产生一个解,但是函数告诉我没有解。我是否对三边测量有误解,或者函数中是否存在错误? 任何帮助都将不胜感激。
我试图找出一个问题,你假装你是一个在未知目标位置(纬度和经度坐标)的GPS装置。我得到了4颗卫星的数据(纬度和经度坐标对,每对卫星到目标位置的距离(以公里为单位)和增量时间)。有人知道如何计算目标位置的坐标吗?我试着做研究,但所涉及的数学知识远远超出了我的能力。提前感谢您的帮助。 以下是数据:
如我所知,三次分割是寻找三个球体交汇区域中心的过程。我在c中写了三边测量法,我取了方程式,它是维基百科中三边测量中心和二维三边测量的细节 举一个如下的例子: 例1:p1(5,10),p2(15,10),p3(10,20),r1=9,r2=7,r3=8,答案是(11.6,13.8),这是逻辑答案。 但当像下面的例子一样的情况下,答案就像一个垃圾数字,我从计算中确定,但在这种情况下,我不知道原因! E
我正在使用wifi三边测量技术开发室内导航应用程序, 我有3个接入点我得到了lat 我需要转换每个lat 加上如果我得到x,y不可能转换成它的拉特 谢啦
对于三角测量,您需要知道设备接收信号的方向。我们可以计算到达角,但计算到达角需要一组接收器。手机能计算到达角吗?我问这个问题是因为我遇到了诸如wifi/BLE三角测量、通过三角测量计算位置等术语,但在大多数情况下,它们实际上是指三边测量。我知道三边测量在手机上的工作原理和所有细节,但我认为三角测量是不可能的。如果可能的话,如何可能?如果使用ibeacons来近似位置,哪个(三角测量或三边测量)会产