复数方程组求解
(2+5i)*x1-x2^(2-3i)-exp(-x1)=0-(x1^3)+x1*x2-exp(-x2)=0
这个方程组有几组解？大家试试看。
理论上如能证明有几组解并给出解更好。 1# forcal
把x1=a+b i , x2= c+d i代进去，令方程左边的实部虚部分别为0，应该会得到一个很复杂的关于a,b,c,d的四组方程。 本帖最后由 wayne 于 2011-1-18 09:28 编辑
方程：
这个解起来很费劲，我用了搜索算法， 在初始值为(1+i,1+i) 处搜到一解：
{0.8791277181294163+ 0.5643186120318102 i, 0.6678887520894088+ 0.5502019010891991 i}
回代到方程，误差： {-2.44249*10^-15 - 8.88178*10^-16 I, 3.33067*10^-16 - 1.11022*10^-16 I} 3# wayne
其实FindRoot函数可以直接在复域搜索。m = 10; tmp = {#[[-1]], {x1, x2}} /.FindRoot[{(2 + 5 I)*x1 - x2^(2 - 3 I) - E^-x1 == 0, -(x1^3) + x1*x2 - E^-x2 == 0}, {{x1, #[]}, {x2, #[]}},WorkingPrecision -> 10] & /@ Flatten, 1];
DeleteDuplicates] == #2[[-1]] &] 运行结果：
{{1, 1}, {0.3504034061 - 0.2581172046 I, 0.9031492305 + 0.2062068702 I}},
{{1, 3}, {0.008663773124 + 0.05927370163 I, 2.009821712 - 0.9744617637 I}},
{{1, 6}, {0.08343862612 - 0.1745973157 I, 0.3407059687 - 3.686653995 I}},
{{1, 10}, {-0.02866006054 - 0.01195892185 I, 1.330587482 - 8.406178015 I}},
{{2, 1}, {0.8791277181 + 0.5643186120 I, 0.6678887521 + 0.5502019011 I}},
{{2, 3}, {2.188498719 - 0.2547470127 I, 4.725985876 - 1.111240047 I}},
{{7, 8}, {2.188498721 - 0.2547470139 I, 4.725985877 - 1.111240047 I}},
{{9, 2}, {0.1575094450 - 0.006233406303 I, -0.5428160524 - 10.90400468 I}},
{{10, 2}, {0.3678174170 - 0.2447841800 I, -1.987462609 - 16.56633274 I}},
{{10, 10}, {2.188498720 - 0.2547470114 I, 4.725985876 - 1.111240046 I}}
即在初始值 {1，1} 处搜到解{0.3504034061 - 0.2581172046 I, 0.9031492305 + 0.2062068702 I}
在初始值{1, 3}处，,搜到解{0.008663773124 + 0.05927370163 I, 2.009821712 - 0.9744617637 I}},
。。。。。。。。。 回代入原方程，误差应该都是10^-9，因为，FindRoot函数加了参数 WorkingPrecision -> 10 4# wayne
谢谢wayne！这个题目是我做测试用的。
一个复数对应2个实数。目前，Forcal中虽然没有专门求解复数方程（组）的函数，但可以借助实数算法来求解。
Forcal代码：!using["fcopt"];
c: cf(x1,x2,y1,y2)=
{
y1=(2+5i)*x1-x2^(2-3i)-exp(-x1),
y2=-(x1^3)+x1*x2-exp(-x2)
};
cc(x11,x12,x21,x22,y11,y12,y21,y22)= cf(x11,x12,x21,x22,&y11,&y12,&y21,&y22);
solve;结果（多次运行以上代码求解，只求得不重复的8组，每组最后一个是误差）：
0.350403406122754 -0.2581172046401702 0.9031492305415151 0.2062068702236727 3.500829247998799e-014
8.343862612128539e-002 -0.1745973157301181 0.3407059687466865 -3.686653995029365 1.014802625489917e-011
-2.866006054280364e-002 -1.195892184488039e-002 1.330587481557424 -8.406178015373364 1.344455731312484e-011
0.3248221986204087 -0.8164562030925229 8.588879599246295e-002 0.2894415311777754 3.570823474245571e-011
8.663773118603429e-003 5.927370162144334e-002 2.009821712522968 -0.9744617637719372 1.073856633613092e-010
0.1575094449966286 -6.233406303049387e-003 -0.5428160523568441 -10.90400468060007 1.542485713397894e-013
0.5108186106709388 0.8884343740105763 -3.912183017503166e-002 1.868542038988761e-002 4.891644231048831e-012
-1.000140126356298 4.481460412883024e-005 -2.935625999646882e-002 4.580361872777336e-003 1.741254712865244e-012 做了些改进，一次运行可以得到好多解：!using["fcopt"];
c: cf(x1,x2,y1,y2)=
{
y1=(2+5i)*x1-x2^(2-3i)-exp(-x1),
y2=-(x1^3)+x1*x2-exp(-x2)
};
cc(x11,x12,x21,x22,y11,y12,y21,y22)= cf(x11,x12,x21,x22,&y11,&y12,&y21,&y22);
solve;-2.866006054064824e-002 -1.195892184644717e-002 1.330587481554971 -8.406178015402372 1.387778780781446e-017
0.3504034061227618 -0.2581172046401729 0.9031492305415105 0.2062068702236714 8.239479992065644e-017
8.343862612043082e-002 -0.1745973157291573 0.3407059687267944 -3.686653995031711 8.441528768080324e-017
8.663773124256998e-003 5.927370162532636e-002 2.009821712467028 -0.9744617637089106 1.136475591006991e-016
0.1575094449966263 -6.233406303054617e-003 -0.542816052357006 -10.90400468060004 1.449824398427615e-016
-0.9761505525076732 -4.188916694990575e-002 0.2629061022575846 0.4632752572864877 2.491246524490876e-016
0.3248221986199319 -0.8164562030920612 8.588879599375437e-002 0.2894415311784372 6.206335383118183e-016
0.8791277181294162 0.5643186120318099 0.6678887520894088 0.550201901089199 9.494881815839865e-016
0.47014618662332 -0.8937212702340192 -4.723585513789652e-002 5.203782055471674e-002 1.095927945427294e-015
-1.000140126356298 4.481460412839825e-005 -2.935625999646691e-002 4.580361872773629e-003 1.123377289448176e-015
2.188498719161242 -0.2547470127039707 4.725985875577431 -1.11124004729153 2.581624953682977e-015
0.3678174168189278 -0.2447841798663009 -1.987462608771816 -16.56633273815325 2.771147860951347e-015
-3.100630176952709 2.638068390925504 -3.489490517227492 -11.15899472513772 3.32325934484418e-015
0.2558786570385518 -0.6418806813845877 -2.724268338853494 -22.26249891344482 5.063396036227354e-015
-3.182094240774668 2.397909424273116 4.378839918650099 -15.26012862676683 6.480357675110514e-015
4.389636735596266 -2.595162790502456 12.53404059038755 -22.78364452544313 1.045962689022551e-014
-0.1855606165010252 -0.9066700734311222 -3.269988236024981 -27.98503379114037 3.425307928687278e-014
-4.577492129524085 1.497860447450567 18.70984827565044 -13.71288882020663 5.398980978589953e-014
-1.835236239190097 -0.2216397976358111 -4.463914480755459 -45.506812423497 6.989371995498532e-014
-1.050561684005955 4.982406505106374 -5.651246722944038 -63.36881420162514 1.406218427278617e-013
1.566884355554632 7.172090182781056 -6.664540093352734 -75.59052814455785 1.620847438635219e-013
-1.727171118126964 4.214377383204703 -5.292154411000675 -57.15671861052886 3.582435616555151e-013
-4.701809680685463 8.371462009006109 -6.197202180092947 -108.2809217281837 6.113661814174522e-013
-4.326316270362867 8.241275824595316 -6.133583235451917 -95.78518911641478 7.228730233747309e-013
-1.566817874139723 -0.1557788051049782 2.383001997667142 0.5222697207582273 7.549066725264193e-013
-4.254760059866216 1.363576169231233 -5.884514800006796 -88.94659066197426 8.66210774405652e-013
-4.362272565208402 -5.423606002244553 -6.770621340004421 -77.89131870443127 1.192622222897801e-012
-0.9983326203909592 2.0940504155351e-003 -5.494800887396104e-002 0.1141467589227911 1.768576534963572e-012
5.992651989785254 7.920682084866131 -7.507315563783017 -87.42243657260113 2.243728961607912e-012
-2.293279865951555 3.711816705524627 -5.001887492667214 -50.9222811419904 4.068155529782339e-012
0.5108186106709394 0.8884343740105762 -3.912183017503151e-002 1.868542038988848e-002 5.117208628836099e-012
-10.74703863664621 -2.12744120661841 110.9728333699528 45.72738568944081 2.784335487859627e-011
15.94378727178433 3.683038675346984 -8.618271450579009 -110.9244505746418 3.871009121091419e-011
24.01842318877565 -11.78480705959316 -9.713111709243538 -140.1550343850872 4.784726745771434e-011
-0.7716632762395588 -0.8820328884402924 -3.72190779870413 -33.73826440634102 1.462791213478983e-010
-7.158566379742393 24.25182697486836 -9.503962747084117 -403.8746634747134 1.612877394494571e-010
-7.621902072717548 -12.77933109513089 -9.233904388329016 -486.5490266205195 1.624199237957987e-010
-13.95604358118798 -7.381685900472105 140.2818657067892 206.038260259259 1.146928700619367e-009
-1.331994639452288 -0.6132938375371181 -4.11016443662261 -39.56850420036292 1.289971799775969e-009
-13.03061961123774 -1.082449441953021 -7.751148451823107 50.3072382990715 2.203706533345664e-009
0.6041474952894912 0.8834204997480536 -2.907695678947905e-002 0.1865018285209554 4.754465847735357e-009
-6.621524515659299 78.90395561043127 -13.10810797741292 -209.1342996987204 7.218250467879421e-009
-7.398457271070837 -88.40476416754262 -13.46458524967493 -412.8173529204323 8.339347544578711e-009
23.70707956561144 -24.67192036096383 -10.45300436338892 -157.8093095132335 9.056414420001613e-009
-11.67315256514138 12.03254252804586 -10.93643068856971 -3632.450625269413 1.201281810603754e-008
-12.4131377270592 -37.12935232544167 -12.41396801330064 -5249.472624665639 2.947801366671841e-008
-10.8268170496289 54.74858079123759 -12.06365345994384 -2382.697837023535 3.019536485105659e-008
-11.96838180111634 169.563933677662 -15.39665884796502 -4223.936014319055 8.027895068013834e-008
-8.144550091894388 -646.7483187096254 -19.41607102115443 -130.338005261106 3.007516416700924e-007
49.
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