\u5927\u591a\u6570\u5f00\u53d1\u8005\u4ec5\u4f7f\u7528 Boost.Math \u7684\u57fa\u7840\u5e38\u91cf\u3001\u7b80\u5355\u7279\u6b8a\u51fd\u6570，\u5b8c\u5168\u6d6a\u8d39\u4e86\u8fd9\u6b3e\u5de5\u4e1a\u7ea7\u6570\u5b66\u5e93\u7684\u771f\u6b63\u80fd\u529b！Boost.Math \u771f\u6b63\u7684\u6838\u5fc3\u4ef7\u503c\u5728\u4e8e\u9ad8\u9636\u6570\u503c\u8ba1\u7b97\u3001\u81ea\u52a8\u5fae\u5206\u3001\u9ad8\u7cbe\u5ea6\u79ef\u5206\u3001\u6781\u503c\u4f18\u5316\u3001\u59ff\u6001\u8fd0\u7b97\u3001\u4efb\u610f\u7cbe\u5ea6\u5efa\u6a21，\u662f C++ \u66ff\u4ee3 MATLAB\u3001Python \u505a\u7cbe\u5bc6\u5de5\u7a0b\u4eff\u771f\u3001\u7b97\u6cd5\u4f18\u5316\u3001\u79d1\u7814\u5efa\u6a21\u7684\u7ec8\u6781\u65b9\u6848\u3002<\/p>\n
\u6839\u636e Boost \u5b98\u65b9\u6700\u65b0\u6587\u6863，Boost.Math \u9ad8\u9636\u6838\u5fc3\u80fd\u529b\u8986\u76d6\u5de5\u4e1a\u7ea7\u6570\u503c\u8ba1\u7b97\u5168\u573a\u666f，\u4e5f\u662f\u672c\u6587\u91cd\u70b9\u8bb2\u89e3\u7684\u5185\u5bb9，\u533a\u522b\u4e8e\u666e\u901a\u5165\u95e8\u6559\u7a0b\u7684\u7b80\u5355\u51fd\u6570\u8c03\u7528：<\/p>\n
\u2705 \u9ad8\u7ea7\u63d2\u503c\u7cfb\u7edf：\u7ebf\u6027\u63d2\u503c\u3001\u4e09\u6b21B\u6837\u6761\u5e73\u6ed1\u63d2\u503c（\u652f\u6301\u5bfc\u6570\u6c42\u89e3）<\/p>\n<\/li>\n
\u2705 \u81ea\u52a8\u5fae\u5206：\u4efb\u610f\u590d\u6742\u51fd\u6570\u4e00\u9636\/\u4e8c\u9636\u7cbe\u51c6\u6c42\u5bfc（\u65e0\u6709\u9650\u5dee\u5206\u8bef\u5dee）<\/p>\n<\/li>\n
\u2705 \u9ad8\u7cbe\u5ea6\u6570\u503c\u79ef\u5206：\u81ea\u9002\u5e94\u68af\u5f62\u79ef\u5206\u3001\u5b9a\u79ef\u5206\u5feb\u901f\u6c42\u89e3<\/p>\n<\/li>\n
\u2705 \u5de5\u7a0b\u6781\u503c\u4f18\u5316：Brent \u5355\u53d8\u91cf\u6700\u4f18\u503c\u6c42\u89e3（\u5de5\u4e1a\u53c2\u6570\u8c03\u4f18）<\/p>\n<\/li>\n
\u2705 \u59ff\u6001\u51e0\u4f55\u8fd0\u7b97：\u56db\u5143\u6570\/\u516b\u5143\u6570\u5b8c\u6574\u8fd0\u7b97\u4f53\u7cfb（SLAM\/\u673a\u5668\u4eba\u4e13\u7528）<\/p>\n<\/li>\n
\u2705 \u4efb\u610f\u7cbe\u5ea6\u8054\u52a8：\u5bf9\u63a5 Boost.Multiprecision，\u5b9e\u73b0\u767e\/\u5343\u4f4d\u5c0f\u6570\u8d85\u7b97\u7ea7\u7cbe\u5ea6<\/p>\n<\/li>\n
\u2705 \u81ea\u5b9a\u4e49\u7cbe\u5ea6\u7b56\u7565：\u5168\u5c40\/\u5c40\u90e8\u8bef\u5dee\u63a7\u5236\u3001\u5f02\u5e38\u6355\u83b7\u3001\u8fed\u4ee3\u7cbe\u5ea6\u8c03\u4f18<\/p>\n<\/li>\n
\u2705 \u9ad8\u7ea7\u6574\u6570\u6570\u5b66：\u8d85\u5927\u6574\u6570GCD\/LCM\u3001\u65e0\u6ea2\u51fa\u6570\u503c\u8fd0\u7b97<\/p>\n<\/li>\n<\/ul>\n
\u6838\u5fc3\u4f18\u52bf：\u6240\u6709\u9ad8\u9636\u6a21\u5757Header-Only\u96f6\u4f9d\u8d56，\u65e0\u9700\u7f16\u8bd1\u7b2c\u4e09\u65b9\u5e93，\u539f\u751f\u652f\u6301\u8de8\u5e73\u53f0\u5de5\u4e1a\u90e8\u7f72\u3002<\/p>\n
C++11 \u53ca\u4ee5\u4e0a，\u652f\u6301 GCC\/Clang\/MSVC \u5168\u7f16\u8bd1\u5668，\u5d4c\u5165\u5f0f\u3001\u670d\u52a1\u5668\u3001Windows \u5f00\u53d1\u901a\u7528\u3002<\/p>\n
\/\/ \u9ad8\u9636\u63d2\u503c
\n#include <boost\/math\/interpolators\/linear_interpolator.hpp>
\n#include <boost\/math\/interpolators\/cubic_b_spline.hpp><\/p>\n
\/\/ \u81ea\u52a8\u5fae\u5206
\n#include <boost\/math\/differentiation\/autodiff.hpp><\/p>\n
\/\/ \u6570\u503c\u79ef\u5206
\n#include <boost\/math\/quadrature\/trapezoidal.hpp><\/p>\n
\/\/ \u51fd\u6570\u6781\u503c\u4f18\u5316
\n#include <boost\/math\/tools\/minima.hpp><\/p>\n
\/\/ \u56db\u5143\u6570\/\u516b\u5143\u6570\u59ff\u6001\u8fd0\u7b97
\n#include <boost\/math\/quaternion.hpp>
\n#include <boost\/math\/octonion.hpp><\/p>\n
\/\/ \u9ad8\u7cbe\u5ea6\u7b56\u7565\u63a7\u5236
\n#include <boost\/math\/policies\/policy.hpp><\/p>\n
\/\/ \u8d85\u5927\u6574\u6570\u6570\u5b66\u5de5\u5177
\n#include <boost\/math\/integer_gcd_lcm.hpp><\/p>\n
\/\/ \u4efb\u610f\u7cbe\u5ea6\u8054\u52a8
\n#include <boost\/multiprecision\/cpp_dec_float.hpp><\/p>\n
\u666e\u901a\u7ebf\u6027\u63d2\u503c\u952f\u9f7f\u4e25\u91cd，Boost.Math \u63d0\u4f9b\u4e09\u6b21B\u6837\u6761\u63d2\u503c，\u652f\u6301\u79bb\u6563\u6570\u636e\u5e73\u6ed1\u62df\u5408，\u4e14\u53ef\u76f4\u63a5\u6c42\u89e3\u63d2\u503c\u66f2\u7ebf\u7684\u4e00\u9636\u3001\u4e8c\u9636\u5bfc\u6570，\u662f\u4f20\u611f\u5668\u6570\u636e\u5904\u7406\u3001\u4eff\u771f\u66f2\u7ebf\u4f18\u5316\u3001\u8f68\u8ff9\u89c4\u5212\u7684\u6838\u5fc3\u5de5\u5177\u3002<\/p>\n
#include <iostream>
\n#include <iomanip>
\n#include <vector>
\n#include <boost\/math\/interpolators\/linear_interpolator.hpp>
\n#include <boost\/math\/interpolators\/cubic_b_spline.hpp><\/p>\n
using namespace std;
\nnamespace bm = boost::math;<\/p>\n
int main()
\n{
\n cout << fixed << setprecision(8);<\/p>\n
\/\/ \u4eff\u771f\u79bb\u6563\u91c7\u6837\u6570\u636e
\n vector<double> x = {0, 1, 2, 3, 4, 5};
\n vector<double> y = {1.2, 2.8, 2.1, 4.5, 3.9, 5.2};<\/p>\n
\/\/ 1. \u57fa\u7840\u7ebf\u6027\u63d2\u503c
\n bm::linear_interpolator<double> linear(x.begin(), x.end(), y.begin());
\n cout << "\u3010\u7ebf\u6027\u63d2\u503c\u3011x=2.5 \u6570\u503c：" << linear(2.5) << endl;<\/p>\n
\/\/ 2. \u9ad8\u9636\u4e09\u6b21B\u6837\u6761\u5e73\u6ed1\u63d2\u503c
\n bm::cubic_b_spline<double> spline(y.begin(), y.end(), 0.0, 1.0);
\n double val = spline(2.5); \/\/ \u63d2\u503c\u6570\u503c
\n double d1 = spline.prime(2.5); \/\/ \u4e00\u9636\u5bfc\u6570（\u53d8\u5316\u901f\u7387）
\n double d2 = spline.double_prime(2.5); \/\/ \u4e8c\u9636\u5bfc\u6570（\u52a0\u901f\u5ea6）<\/p>\n
cout << "\u3010\u4e09\u6b21\u6837\u6761\u3011x=2.5 \u6570\u503c：" << val << endl;
\n cout << "\u3010\u6837\u6761\u4e00\u9636\u5bfc\u6570\u3011：" << d1 << endl;
\n cout << "\u3010\u6837\u6761\u4e8c\u9636\u5bfc\u6570\u3011：" << d2 << endl;<\/p>\n
return 0;
\n}<\/p>\n
\u5de5\u7a0b\u573a\u666f：\u65e0\u4eba\u673a\u8f68\u8ff9\u5e73\u6ed1\u3001\u5de5\u4e1a\u4f20\u611f\u5668\u964d\u566a\u3001\u673a\u5668\u4eba\u8fd0\u52a8\u66f2\u7ebf\u62df\u5408\u3001\u56fe\u50cf\u5904\u7406\u63d2\u503c\u8865\u5168\u3002<\/p>\n
\u4f20\u7edf\u6709\u9650\u5dee\u5206\u6c42\u5bfc\u5b58\u5728\u7cbe\u5ea6\u635f\u8017，\u624b\u52a8\u63a8\u5bfc\u516c\u5f0f\u6548\u7387\u6781\u4f4e\u3002Boost.Math \u81ea\u52a8\u5fae\u5206\u6a21\u5757\u652f\u6301\u4efb\u610f\u5d4c\u5957\u590d\u5408\u51fd\u6570，\u81ea\u52a8\u6c42\u89e3\u4e00\u9636\u3001\u4e8c\u9636\u5bfc\u6570，\u7cbe\u5ea6\u63a5\u8fd1\u7406\u8bba\u6781\u503c，\u9002\u914d\u7b97\u6cd5\u68af\u5ea6\u8ba1\u7b97\u3001\u7269\u7406\u5efa\u6a21\u3001\u4f18\u5316\u5668\u5f00\u53d1\u3002<\/p>\n
#include <iostream>
\n#include <iomanip>
\n#include <cmath>
\n#include <boost\/math\/differentiation\/autodiff.hpp><\/p>\n
using namespace std;
\nnamespace bm = boost::math;<\/p>\n
\/\/ \u81ea\u5b9a\u4e49\u590d\u6742\u590d\u5408\u51fd\u6570 f(x) = x*sin(x) + x^2
\ntemplate<typename T>
\nauto complex_func(T x)
\n{
\n return x * sin(x) + x * x;
\n}<\/p>\n
int main()
\n{
\n cout << fixed << setprecision(10);<\/p>\n
\/\/ \u5b9a\u4e49\u53d8\u91cf，\u4fdd\u75592\u9636\u5bfc\u6570
\n auto x = bm::make_fvar<double, 2>(3.0);
\n auto res = complex_func(x);<\/p>\n
cout << "\u51fd\u6570\u503c f(3.0) = " << res.value() << endl;
\n cout << "\u4e00\u9636\u5bfc\u6570 f'(3.0) = " << res.derivative(1) << endl;
\n cout << "\u4e8c\u9636\u5bfc\u6570 f''(3.0) = " << res.derivative(2) << endl;<\/p>\n
return 0;
\n}<\/p>\n
\u6838\u5fc3\u4f18\u52bf：\u65e0\u9700\u624b\u52a8\u63a8\u5bfc\u6c42\u5bfc\u516c\u5f0f，\u652f\u6301\u9012\u5f52\u5d4c\u5957\u51fd\u6570，\u662f C++ \u81ea\u7814\u68af\u5ea6\u4e0b\u964d\u4f18\u5316\u5668\u7684\u6700\u4f18\u65b9\u6848\u3002<\/p>\n
\u9488\u5bf9\u65e0\u6cd5\u89e3\u6790\u6c42\u89e3\u7684\u8d85\u8d8a\u51fd\u6570\u3001\u590d\u5408\u51fd\u6570，Boost.Math \u63d0\u4f9b\u81ea\u9002\u5e94\u68af\u5f62\u79ef\u5206\u7b97\u6cd5，\u81ea\u52a8\u8fed\u4ee3\u903c\u8fd1\u7406\u8bba\u503c，\u7cbe\u5ea6\u53ef\u63a7，\u66ff\u4ee3 MATLAB integral \u51fd\u6570\u3002<\/p>\n
#include <iostream>
\n#include <iomanip>
\n#include <boost\/math\/quadrature\/trapezoidal.hpp>
\n#include <boost\/math\/constants\/constants.hpp><\/p>\n
using namespace std;
\nnamespace bm = boost::math;<\/p>\n
\/\/ \u5f85\u79ef\u5206\u590d\u6742\u51fd\u6570 f(x) = x * cos(x)
\ndouble integral_func(double x)
\n{
\n return x * cos(x);
\n}<\/p>\n
int main()
\n{
\n cout << fixed << setprecision(10);<\/p>\n
\/\/ \u6c42\u89e3\u5b9a\u79ef\u5206 \u222b(0~\u03c0) x*cos(x) dx
\n double result = bm::trapezoidal(integral_func, 0.0, bm::pi<double>());
\n cout << "\u9ad8\u7cbe\u5ea6\u79ef\u5206\u7ed3\u679c：" << result << endl;<\/p>\n
return 0;
\n}<\/p>\n
\u5de5\u7a0b\u7528\u9014：\u7269\u7406\u573a\u79ef\u5206\u8ba1\u7b97\u3001\u4fe1\u53f7\u80fd\u91cf\u79ef\u5206\u3001\u6982\u7387\u5bc6\u5ea6\u79ef\u5206\u3001\u79d1\u7814\u6570\u503c\u5efa\u6a21\u3002<\/p>\n
Boost.Math \u5185\u7f6e\u6210\u719f\u7684 Brent \u5355\u53d8\u91cf\u6781\u503c\u6c42\u89e3\u7b97\u6cd5，\u6536\u655b\u901f\u5ea6\u5feb\u3001\u7a33\u5b9a\u6027\u9ad8，\u53ef\u81ea\u52a8\u6c42\u89e3\u6307\u5b9a\u533a\u95f4\u5185\u51fd\u6570\u6700\u5c0f\u503c，\u5e7f\u6cdb\u7528\u4e8e\u5de5\u7a0b\u53c2\u6570\u4f18\u5316\u3001\u7b97\u6cd5\u8d85\u53c2\u8c03\u4f18\u3001\u6210\u672c\u51fd\u6570\u6700\u5c0f\u5316\u573a\u666f\u3002<\/p>\n
#include <iostream>
\n#include <iomanip>
\n#include <boost\/math\/tools\/minima.hpp><\/p>\n
using namespace std;
\nnamespace bm = boost::math;
\nnamespace tools = bm::tools;<\/p>\n
\/\/ \u975e\u7ebf\u6027\u4ee3\u4ef7\u51fd\u6570：f(x) = x^4 – 3x^3 + 2x^2 + x
\ndouble cost_func(double x)
\n{
\n return pow(x,4) – 3*pow(x,3) + 2*pow(x,2) + x;
\n}<\/p>\n
int main()
\n{
\n cout << fixed << setprecision(10);<\/p>\n
\/\/ \u5728\u533a\u95f4 [0, 3] \u6c42\u89e3\u6700\u5c0f\u503c，\u8fed\u4ee3\u7cbe\u5ea630\u4f4d
\n auto min_res = tools::brent_find_minima(cost_func, 0.0, 3.0, 30);
\n double best_x = (min_res.first + min_res.second) \/ 2.0;
\n double min_val = cost_func(best_x);<\/p>\n
cout << "\u6700\u4f18\u53c2\u6570 x = " << best_x << endl;
\n cout << "\u6700\u5c0f\u4ee3\u4ef7\u503c = " << min_val << endl;<\/p>\n
return 0;
\n}<\/p>\n
Boost.Math \u539f\u751f\u5b9e\u73b0\u56db\u5143\u6570\u3001\u516b\u5143\u6570\u5168\u5957\u8fd0\u7b97，\u65e0\u9700\u624b\u52a8\u5c01\u88c5\u59ff\u6001\u7b97\u6cd5，\u652f\u6301\u4e58\u6cd5\u3001\u5f52\u4e00\u5316\u3001\u5171\u8f6d\u3001\u6a21\u957f\u8ba1\u7b97，\u5b8c\u7f8e\u9002\u914d\u4e09\u7ef4\u59ff\u6001\u65cb\u8f6c\u3001\u98de\u884c\u5668\u89e3\u7b97\u3001SLAM \u4f4d\u59ff\u4f18\u5316\u3002<\/p>\n
#include <iostream>
\n#include <iomanip>
\n#include <boost\/math\/quaternion.hpp><\/p>\n
using namespace std;
\nnamespace bm = boost::math;<\/p>\n
int main()
\n{
\n cout << fixed << setprecision(6);<\/p>\n
\/\/ \u521d\u59cb\u5316\u56db\u5143\u6570(w,x,y,z)
\n bm::quaternion<double> q1(1.0, 0.1, 0.2, 0.3);
\n bm::quaternion<double> q2(0.9, 0.05, 0.1, 0.15);<\/p>\n
\/\/ \u56db\u5143\u6570\u4e58\u6cd5（\u59ff\u6001\u53e0\u52a0）
\n auto q_mul = q1 * q2;
\n \/\/ \u5f52\u4e00\u5316（\u5355\u4f4d\u56db\u5143\u6570，\u59ff\u6001\u89e3\u7b97\u5fc5\u5907）
\n auto q_norm = normalize(q1);
\n \/\/ \u5171\u8f6d\u56db\u5143\u6570
\n auto q_conj = conj(q1);
\n \/\/ \u6a21\u957f
\n double q_len = abs(q1);<\/p>\n
cout << "\u59ff\u6001\u53e0\u52a0\u7ed3\u679c：" << q_mul << endl;
\n cout << "\u5f52\u4e00\u5316\u56db\u5143\u6570：" << q_norm << endl;
\n cout << "\u56db\u5143\u6570\u6a21\u957f：" << q_len << endl;<\/p>\n
return 0;
\n}<\/p>\n
\u9ad8\u9636\u6570\u503c\u8ba1\u7b97\u4e2d，\u9ed8\u8ba4\u7cbe\u5ea6\u65e0\u6cd5\u6ee1\u8db3\u7cbe\u5bc6\u4eff\u771f\u9700\u6c42，Boost.Math \u652f\u6301\u81ea\u5b9a\u4e49\u8fed\u4ee3\u7cbe\u5ea6\u3001\u5b9a\u4e49\u57df\u5f02\u5e38\u7b56\u7565\u3001\u6ea2\u51fa\u5904\u7406，\u53ef\u5168\u5c40\u7ba1\u63a7\u6570\u503c\u8ba1\u7b97\u884c\u4e3a\u3002<\/p>\n
#include <iostream>
\n#include <iomanip>
\n#include <boost\/math\/special_functions.hpp>
\n#include <boost\/math\/policies\/policy.hpp><\/p>\n
using namespace std;
\nnamespace bm = boost::math;<\/p>\n
int main()
\n{
\n \/\/ \u81ea\u5b9a\u4e49\u7b56\u7565：20\u4f4d\u5341\u8fdb\u5236\u7cbe\u5ea6\u3001\u9759\u9ed8\u5904\u7406\u5b9a\u4e49\u57df\u9519\u8bef
\n auto high_prec_policy = bm::policies::make_policy(
\n bm::policies::digits10<20>(),
\n bm::policies::domain_error<bm::policies::ignore_error>()
\n );<\/p>\n
cout << fixed << setprecision(18);
\n \/\/ \u9ad8\u7cbe\u5ea6\u7279\u6b8a\u51fd\u6570\u8ba1\u7b97
\n double res = bm::tgamma(12.0, high_prec_policy);
\n cout << "20\u4f4d\u9ad8\u7cbe\u5ea6\u4f3d\u9a6c\u51fd\u6570\u7ed3\u679c：" << res << endl;<\/p>\n
return 0;
\n}<\/p>\n
\u5bf9\u63a5 Boost.Multiprecision，\u7a81\u7834 double 64\u4f4d\u7cbe\u5ea6\u4e0a\u9650，\u652f\u630150\/100\/1000\u4f4d\u5c0f\u6570\u8d85\u9ad8\u7cbe\u5ea6\u8ba1\u7b97，\u9002\u914d\u91d1\u878d\u91cf\u5316\u3001\u5bc6\u7801\u5b66\u3001\u7cbe\u5bc6\u79d1\u7814\u4eff\u771f\u573a\u666f\u3002<\/p>\n
#include <iostream>
\n#include <iomanip>
\n#include <boost\/math\/constants\/constants.hpp>
\n#include <boost\/multiprecision\/cpp_dec_float.hpp><\/p>\n
using namespace std;
\nnamespace bm = boost::math;
\nnamespace mp = boost::multiprecision;<\/p>\n
\/\/ \u5b9a\u4e4950\u4f4d\u9ad8\u7cbe\u5ea6\u6d6e\u70b9\u7c7b\u578b
\nusing hp_float = mp::cpp_dec_float_50;<\/p>\n
int main()
\n{
\n \/\/ 50\u4f4d\u9ad8\u7cbe\u5ea6PI\u3001\u81ea\u7136\u5e38\u6570
\n hp_float pi = bm::pi<hp_float>();
\n hp_float e = bm::e<hp_float>();
\n hp_float gamma = bm::tgamma(hp_float(15));<\/p>\n
cout << setprecision(50);
\n cout << "50\u4f4d\u9ad8\u7cbe\u5ea6PI：" << pi << endl;
\n cout << "50\u4f4d\u9ad8\u7cbe\u5ea6E：" << e << endl;
\n cout << "50\u4f4d\u9ad8\u7cbe\u5ea6\u4f3d\u9a6c\u503c：" << gamma << endl;<\/p>\n
return 0;
\n}<\/p>\n
1. \u81ea\u52a8\u5fae\u5206\u5c42\u6570\u9650\u5236：make_fvar \u7b2c\u4e8c\u4e2a\u53c2\u6570\u4e3a\u6700\u5927\u6c42\u5bfc\u9636\u6570，\u6309\u9700\u8bbe\u7f6e，\u8fc7\u9ad8\u4f1a\u589e\u52a0\u6027\u80fd\u5f00\u9500<\/p>\n<\/li>\n
2. \u6837\u6761\u63d2\u503c\u5750\u6807\u5bf9\u9f50：\u4e09\u6b21B\u6837\u6761\u5bf9\u79bb\u6563\u6570\u636e\u5747\u5300\u6027\u654f\u611f，\u975e\u5747\u5300\u6570\u636e\u4f18\u5148\u4f7f\u7528\u7ebf\u6027\u63d2\u503c<\/p>\n<\/li>\n
3. \u6781\u503c\u6c42\u89e3\u533a\u95f4\u9009\u62e9：Brent\u7b97\u6cd5\u4ec5\u6c42\u89e3\u533a\u95f4\u5185\u5355\u6781\u503c，\u591a\u6781\u503c\u51fd\u6570\u9700\u62c6\u5206\u533a\u95f4\u8fed\u4ee3<\/p>\n<\/li>\n
4. \u9ad8\u7cbe\u5ea6\u6027\u80fd\u6743\u8861：\u5343\u4f4d\u7cbe\u5ea6\u8ba1\u7b97\u901f\u5ea6\u8f83\u6162，\u5de5\u4e1a\u5b9e\u65f6\u573a\u666f\u614e\u7528，\u4ec5\u7528\u4e8e\u79bb\u7ebf\u7cbe\u5bc6\u5efa\u6a21<\/p>\n<\/li>\n
5. \u56db\u5143\u6570\u5fc5\u987b\u5f52\u4e00\u5316：\u59ff\u6001\u89e3\u7b97\u65f6，\u591a\u6b21\u8fd0\u7b97\u540e\u5fc5\u987b\u5f52\u4e00\u5316，\u907f\u514d\u59ff\u6001\u6f02\u79fb<\/p>\n<\/li>\n<\/ul>\n
| \n \u4e09\u6b21\u6837\u6761\u63d2\u503c<\/p>\n<\/td>\n | \n \u8f68\u8ff9\u5e73\u6ed1\u3001\u4f20\u611f\u5668\u964d\u566a\u3001\u5de5\u4e1a\u6570\u636e\u62df\u5408<\/p>\n<\/td>\n<\/tr>\n |
| \n \u81ea\u52a8\u5fae\u5206<\/p>\n<\/td>\n | \n \u68af\u5ea6\u4f18\u5316\u3001\u81ea\u7814\u7b97\u6cd5\u3001\u7269\u7406\u6a21\u578b\u6c42\u5bfc<\/p>\n<\/td>\n<\/tr>\n |
| \n \u6570\u503c\u79ef\u5206<\/p>\n<\/td>\n | \n \u7269\u7406\u573a\u8ba1\u7b97\u3001\u4fe1\u53f7\u80fd\u91cf\u5206\u6790\u3001\u79d1\u7814\u5efa\u6a21<\/p>\n<\/td>\n<\/tr>\n |
| \n \u51fd\u6570\u6781\u503c\u4f18\u5316<\/p>\n<\/td>\n | \n \u5de5\u7a0b\u53c2\u6570\u8c03\u4f18\u3001\u4ee3\u4ef7\u51fd\u6570\u6700\u5c0f\u5316\u3001\u8d85\u53c2\u641c\u7d22<\/p>\n<\/td>\n<\/tr>\n |
| \n \u56db\u5143\u6570\u8fd0\u7b97<\/p>\n<\/td>\n | \n \u673a\u5668\u4eba\u3001\u65e0\u4eba\u673a\u3001SLAM\u59ff\u6001\u89e3\u7b97<\/p>\n<\/td>\n<\/tr>\n |
| \n \u4efb\u610f\u7cbe\u5ea6\u8ba1\u7b97<\/p>\n<\/td>\n | \n \u91d1\u878d\u91cf\u5316\u3001\u5bc6\u7801\u5b66\u3001\u7cbe\u5bc6\u79d1\u7814\u4eff\u771f<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u5341\u4e8c\u3001\u5168\u6587\u603b\u7ed3<\/h3>\nBoost.Math \u7684\u771f\u6b63\u6838\u5fc3\u4ef7\u503c\u5728\u4e8e\u9ad8\u9636\u5de5\u4e1a\u7ea7\u6570\u503c\u8ba1\u7b97\u80fd\u529b，\u800c\u975e\u7b80\u5355\u7684\u6570\u5b66\u51fd\u6570\u8c03\u7528\u3002\u901a\u8fc7\u81ea\u52a8\u5fae\u5206\u3001\u6570\u503c\u79ef\u5206\u3001\u667a\u80fd\u4f18\u5316\u3001\u59ff\u6001\u8fd0\u7b97\u3001\u8d85\u7cbe\u5ea6\u5efa\u6a21，\u53ef\u8ba9\u7eaf C++ \u8131\u79bb MATLAB\/Python \u4f9d\u8d56，\u72ec\u7acb\u5b8c\u6210\u9ad8\u7cbe\u5ea6\u5de5\u7a0b\u4eff\u771f\u3001\u7b97\u6cd5\u4f18\u5316\u3001\u79d1\u7814\u5efa\u6a21，\u662f C++ \u9ad8\u7aef\u6570\u503c\u5f00\u53d1\u7684\u5fc5\u5907\u6838\u5fc3\u5e93\u3002<\/p><\/p>\n","protected":false},"excerpt":{"rendered":" \u5927\u591a\u6570\u5f00\u53d1\u8005\u4ec5\u4f7f\u7528 Boost.Math \u7684\u57fa\u7840\u5e38\u91cf\u3001\u7b80\u5355\u7279\u6b8a\u51fd\u6570，\u5b8c\u5168\u6d6a\u8d39\u4e86\u8fd9\u6b3e\u5de5\u4e1a\u7ea7\u6570\u5b66\u5e93\u7684\u771f\u6b63\u80fd\u529b！Boost.Math \u771f\u6b63\u7684\u6838\u5fc3\u4ef7\u503c\u5728\u4e8e\u9ad8\u9636\u6570\u503c\u8ba1\u7b97\u3001\u81ea\u52a8\u5fae\u5206\u3001\u9ad8\u7cbe\u5ea6\u79ef\u5206\u3001\u6781\u503c\u4f18\u5316\u3001\u59ff\u6001\u8fd0\u7b97\u3001\u4efb\u610f\u7cbe\u5ea6\u5efa\u6a21，\u662f C \u66ff\u4ee3 MATLAB\u3001Python \u505a\u7cbe\u5bc6\u5de5\u7a0b\u4eff\u771f\u3001\u7b97\u6cd5\u4f18\u5316\u3001\u79d1\u7814\u5efa\u6a21\u7684\u7ec8\u6781\u65b9\u6848\u3002\u4e00\u3001Boost.Math \u9ad8\u9636\u80fd\u529b\u603b\u89c8（\u5b98\u65b9\u6838\u5fc3\u6a21\u5757）\u6839\u636e Boost \u5b98\u65b9\u6700\u65b0\u6587\u6863，Boo<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[9855,9858,9857,9099,9859,9856],"topic":[],"class_list":["post-87145","post","type-post","status-publish","format-standard","hentry","category-server","tag-boost-math","tag-9858","tag-9857","tag-9099","tag-9859","tag-9856"],"yoast_head":"\n |