/********************************************************
 *  ██████╗  ██████╗████████╗██╗
 * ██╔════╝ ██╔════╝╚══██╔══╝██║
 * ██║  ███╗██║        ██║   ██║
 * ██║   ██║██║        ██║   ██║
 * ╚██████╔╝╚██████╗   ██║   ███████╗
 *  ╚═════╝  ╚═════╝   ╚═╝   ╚══════╝
 * Geophysical Computational Tools & Library (GCTL)
 *
 * Copyright (c) 2022  Yi Zhang (yizhang-geo@zju.edu.cn)
 *
 * GCTL is distributed under a dual licensing scheme. You can redistribute 
 * it and/or modify it under the terms of the GNU Lesser General Public 
 * License as published by the Free Software Foundation, either version 2 
 * of the License, or (at your option) any later version. You should have 
 * received a copy of the GNU Lesser General Public License along with this 
 * program. If not, see <http://www.gnu.org/licenses/>.
 * 
 * If the terms and conditions of the LGPL v.2. would prevent you from using 
 * the GCTL, please consider the option to obtain a commercial license for a 
 * fee. These licenses are offered by the GCTL's original author. As a rule, 
 * licenses are provided "as-is", unlimited in time for a one time fee. Please 
 * send corresponding requests to: yizhang-geo@zju.edu.cn. Please do not forget 
 * to include some description of your company and the realm of its activities. 
 * Also add information on how to contact you by electronic and paper mail.
 ******************************************************/

#ifndef _FUNC_H
#define _FUNC_H

// add gctl head files
#include "gctl/core.h"
#include "gctl/utility.h"
#include "gctl/math/legendre.h"
#include "gctl/math/interpolate.h"
#include "gctl/io.h"

#define NORMAL_GRAVITY 9.80665 // m/s^2

enum target_type_e
{
	Null,
	Topography,
	GravDisturbance,
	GravDisturbanceLon,
	GravDisturbanceLat,
	GravAnomaly,
	GravPotential,
	HeightAnomaly,
	RadialGravityGradient,
};

struct spoint : public gctl::point3ds
{
	double ref, alti, val;
	spoint()
	{
		lon = lat = ref = alti = rad = val = GCTL_BDL_MAX;
	}
	void info()
	{
		std::cout << std::setprecision(16) << lon << " " << lat << " "  << ref << " " << alti << " " << val << std::endl;
	}
};
typedef std::vector<spoint> sphArray;

// 命令规则 n为阶数 m为次数
class shc2xyz
{
public:
	shc2xyz(){}
	~shc2xyz(){}
	int readSHC(const char*,const char*,const char*, std::string jp); //读入球谐系数
	int initTargetType(const char*); //设置计算类型
	int initMatrix(const char*,const char*,const char*,const char*); //初始化相关的矩阵大小
	int initObs(const char*,const char*,const char*); //初始化观测点 如只有范围参数则只初始化经纬度位置
	int relocateAltitude(const char*); //根据输入文件重新确定计算高程
	int outObs(const char*); //输出计算结果 如果有文件指定的位置则插值
	int calSolution(); //计算球谐结果 同一高程观测值
	int calSolution2(const char*); //计算不同高程的观测值
private:
	gctl::array<gctl::array<double>> Anm;
	gctl::array<gctl::array<double>> Bnm;
	gctl::array<gctl::array<double>> Pnm; //伴随勒让德函数系数 这个函数只和观测位置的纬度/余纬度相关 同一纬度只需要计算一次
	gctl::matrix<double> mCos; //不同次数cos函数值 这个值只和观测位置的经度相关 行数为不同经度位置 列数为不同次数 矩阵维度即为经度个数*阶次 一般估算在1000*1000级别
	gctl::matrix<double> mSin; //不同次数sin函数值 其他与上同
	gctl::array<gctl::array<double>> coff_S; //球谐系数sin参数
	gctl::array<gctl::array<double>> coff_C; //球谐系数cos参数
	gctl::array<gctl::array<double>> multi_array; //乘子矩阵
	sphArray obsPoint; //计算地形是的观测位置 即计算半径值
	sphArray outPoint; //输出计算值

	gctl::legendre_norm_e norSum;
	double GM,R; //球谐系数中重力常数与质量的乘积 单位为SI标准 g 与 m
	double multi_factor; // 乘子系数
	int NN_size; //系数矩阵大小
	int lon_size,lat_size;
	double refr,refR,altitude;
	double lonmin,lonmax,dlon;
	double latmin,latmax,dlat;

	target_type_e tar_type_;
};

//读取球谐参数文件 文件名 起止阶次 列序列
int shc2xyz::readSHC(const char* filename, const char* para, const char* orders, std::string jp)
{
	std::ifstream infile;
	gctl::open_infile(infile,filename, "");

	int n_start,m_start,n_end,m_end;
	if (4 != sscanf(para,"%d/%d/%d/%d",&n_start,&m_start,&n_end,&m_end))
	{
		std::cerr << GCTL_BOLDRED << "error ==> " << GCTL_RESET << "wrong parameter: " << para << std::endl;
		return -1;
	}
	//识别列次序
	int order[4];
	if (4 != sscanf(orders,"%d,%d,%d,%d",&order[0],&order[1],&order[2],&order[3]))
	{
		std::cerr << GCTL_BOLDRED << "error ==> " << GCTL_RESET << "wrong parameter: " << orders << std::endl;
		return -1;
	}

	//按照最大阶数初始化下半三角矩阵
	NN_size = n_end + 1;
	//对于二维vector来说 对行初始化的时候需要使用resize 而对于列的初始化而言使用reserve效率更高
	coff_C.resize(NN_size);
	coff_S.resize(NN_size);
	for (int i = 0; i < NN_size; i++)
	{
		coff_C[i].resize(i+1,0.0);
		coff_S[i].resize(i+1,0.0);
	}

	int jp_num = atoi(jp.c_str());
	int n,m; //行列号
	std::string temp_d;
	double temp_c,temp_s;
	std::vector<std::string> temp_row; temp_row.reserve(100); //出现初始化100个double的空间 这样读文件更快
	std::string temp_str;
	std::stringstream temp_ss;
	while (getline(infile, temp_str))
	{
		if (jp_num > 0) {jp_num--; continue;}
		if (temp_str[0] == '#') continue;

		//gctl::parse_string_to_vector(temp_str, ' ', temp_row);
		
		if (*(temp_str.begin()) == '#') continue;
		if (!temp_row.empty()) temp_row.clear();
		temp_ss.str("");
		temp_ss.clear();
		temp_ss << temp_str;
		while (temp_ss >> temp_d)
		{
			temp_row.push_back(temp_d);
		}

		n = atoi(temp_row[order[0]].c_str());
		m = atoi(temp_row[order[1]].c_str());
		temp_c = gctl::str2double(temp_row[order[2]]);
		temp_s = gctl::str2double(temp_row[order[3]]);

		if (n >= n_start && n <= n_end && m >= m_start && m <= m_end)
		{
			coff_C[n][m] = temp_c;
			coff_S[n][m] = temp_s;
		}
	}
	infile.close();
	return 0;
}

int shc2xyz::initObs(const char* r_para,const char* i_para,const char* refsys)
{
	//解析参考球
	if (!strcmp(refsys,"NULL"))
	{
		refr = refR = 0.0;
	}
	else if (!strcmp(refsys,"WGS84"))
	{
		refr = GCTL_WGS84_PoleRadius;
		refR = GCTL_WGS84_EquatorRadius;
	}
	else if (!strcmp(refsys,"Earth"))
	{
		refr = GCTL_Earth_Radius;
		refR = GCTL_Earth_Radius;
	}
	else if (!strcmp(refsys,"Moon"))
	{
		refr = GCTL_Moon_Radius;
		refR = GCTL_Moon_Radius;
	}
	else if (!strcmp(refsys,"Mars"))
	{
		refr = GCTL_Mars_Radius;
		refR = GCTL_Mars_Radius;
	}
	else if (2 != sscanf(refsys,"%lf/%lf",&refr,&refR))
	{
		std::cerr << GCTL_BOLDRED << "error ==> " << GCTL_RESET << "wrong parameter: " << refsys << std::endl;
		return -1;
	}

	//解析经纬度范围 按规则网络初始化观测点位置
	if (5 != sscanf(r_para,"%lf/%lf/%lf/%lf/%lf",&lonmin,&lonmax,&latmin,&latmax,&altitude))
	{
		if (4 != sscanf(r_para,"%lf/%lf/%lf/%lf",&lonmin,&lonmax,&latmin,&latmax))
		{
			std::cerr << GCTL_BOLDRED << "error ==> " << GCTL_RESET << "wrong parameter: " << r_para << std::endl;
			return -1;
		}
		else altitude = 0.0;
	}

	//解析间隔
	if (2 != sscanf(i_para,"%lf/%lf",&dlon,&dlat))
	{
		std::cerr << GCTL_BOLDRED << "error ==> " << GCTL_RESET << "wrong parameter: " << i_para << std::endl;
		return -1;
	}

	spoint temp_spoint;
	double lon,lat;
	lon_size = round((lonmax-lonmin)/dlon) + 1;
	lat_size = round((latmax-latmin)/dlat) + 1;
	obsPoint.reserve(lon_size*lat_size);
	for (int i = 0; i < lat_size; i++)
	{
		for (int j = 0; j < lon_size; j++)
		{
			lat = latmin + i*dlat; lon = lonmin + j*dlon;
			temp_spoint.lon = lon; temp_spoint.lat = lat;
			temp_spoint.ref = gctl::ellipse_radius_2d(refR, refr, temp_spoint.lat*GCTL_Pi/180.0);
			temp_spoint.alti = altitude;
			temp_spoint.rad = temp_spoint.ref + temp_spoint.alti;
			temp_spoint.val = 0.0;
			obsPoint.push_back(temp_spoint);
		}
	}
	return 0;
}

int shc2xyz::relocateAltitude(const char* filepara)
{
	char filename[1024];
	int orders[3] = {0,1,2}; //默认的读入的数据列为前三列

	if(!strcmp(filepara,"NULL")) return 0;

	//解析文件名中是否含有+d标示 如果有则将+d以前解释为filename 之后为需要读入的数据列 默认为逗号分隔
	//否则将filepara赋值为filename
	if (4 != sscanf(filepara,"%[^+]+d%d,%d,%d",filename,&orders[0],&orders[1],&orders[2]))
		strcpy(filename,filepara);

	std::ifstream infile;
	gctl::open_infile(infile,filename,"");

	int numM,numN,tempM,tempN;
	std::string temp_str;
	std::stringstream temp_ss;
	double temp_d,temp_lon,temp_lat,temp_alti;
	std::vector<double> temp_row;

	numM = floor((latmax-latmin)/dlat)+1;
	numN = floor((lonmax-lonmin)/dlon)+1;
	while(getline(infile,temp_str))
	{
		if (*(temp_str.begin()) == '#') continue;

		temp_ss.str(""); temp_ss.clear(); temp_ss << temp_str;
		if(!temp_row.empty()) temp_row.clear();
		while(temp_ss >> temp_d)
			temp_row.push_back(temp_d);

		temp_lon = temp_row[orders[0]];
		temp_lat = temp_row[orders[1]];
		temp_alti = temp_row[orders[2]];

		tempM = round((temp_lat-latmin)/dlat);
		tempN = round((temp_lon-lonmin)/dlon);
		obsPoint[tempM*numN+tempN].alti = temp_alti;
		obsPoint[tempM*numN+tempN].rad = obsPoint[tempM*numN+tempN].ref + temp_alti;
	}
	infile.close();
	return 0;
}

int shc2xyz::initTargetType(const char* type)
{
	if(!strcmp(type,"n")) //topography
		tar_type_ = Null;
	else if(!strcmp(type,"t")) //topography
		tar_type_ = Topography;
	else if (!strcmp(type,"d") || !strcmp(type,"g"))
		tar_type_ = GravAnomaly;
	else if (!strcmp(type,"r"))
		tar_type_ = RadialGravityGradient;
	else if (!strcmp(type,"p"))
		tar_type_ = GravPotential;
	else if (!strcmp(type,"h"))
		tar_type_ = HeightAnomaly;
	else if (!strcmp(type,"dlon"))
		tar_type_ = GravDisturbanceLon;
	else if (!strcmp(type,"dlat"))
		tar_type_ = GravDisturbanceLat;
	else
	{
		std::cerr << GCTL_BOLDRED << "error ==> " << GCTL_RESET << "unknown calculation type of " << type << std::endl;
		return -1;
	}
	return 0;
}

//初始化矩阵
int shc2xyz::initMatrix(const char* type,const char* para,const char* norType,const char* zfile)
{
	//初始化GM与R
	if (strcmp(para,"NULL")) //如果para不为NULL则识别参数 否则将GM与R初始化为MAX_BDL
	{
		if (2 != sscanf(para,"%lf/%lf",&GM,&R))
		{
			std::cerr << GCTL_BOLDRED << "error ==> " << GCTL_RESET << "wrong parameter: " << para << std::endl;
			return -1;
		}
	}
	else GM = R = GCTL_BDL_MAX;
	//初始化归一化类型
	if (!strcmp(norType,"g")) norSum = gctl::Pi4;
	else if (!strcmp(norType,"m")) norSum = gctl::One;
	else
	{
		std::cerr << GCTL_BOLDRED << "error ==> " << GCTL_RESET << "wrong parameter: " << norType << std::endl;
		return -1;
	}
	//初始化伴随勒让德函数矩阵
	Pnm.resize(NN_size);
	for (int i = 0; i < NN_size; i++)
		Pnm.at(i).resize(i+1,0.0);
	//初始化sin和cos矩阵
	mCos.resize(lon_size, NN_size);
	mSin.resize(lon_size, NN_size);
	//计算mCos和mSin的值
	int i,j;
	double lon;
#pragma omp parallel for private(i,j,lon) schedule(guided)
	for (i = 0; i < lon_size; i++)
	{
		lon = lonmin + i*dlon;
		for (j = 0; j < NN_size; j++)
		{
			mCos[i][j] = cos(j*lon*GCTL_Pi/180.0);
			mSin[i][j] = sin(j*lon*GCTL_Pi/180.0);
		}
	}
	//计算勒让德函数系数
	gctl::get_a_nm_array(NN_size, Anm);
	gctl::get_b_nm_array(NN_size, Bnm);
	//计算乘子参数
	if(!strcmp(type,"n")) // null
		multi_factor = 1.0;
	else if(!strcmp(type,"t")) //topography
		multi_factor = 1.0;
	else if (!strcmp(type,"d") || !strcmp(type,"g")) //gravity disturbance
		multi_factor = 1e+5*GM/(R*R);
	else if (!strcmp(type,"r")) //gravity disturbance
		multi_factor = 1e+9*GM/(R*R);
	else if (!strcmp(type,"p"))
		multi_factor = 1e+5*GM/R;
	else if (!strcmp(type,"h"))
		multi_factor = 1e+5*GM/(R*NORMAL_GRAVITY*1e+5);
	else if (!strcmp(type,"dlat") || !strcmp(type,"dlon"))
		multi_factor = 1e+5*GM/(R*R);
	else
	{
		std::cerr << GCTL_BOLDRED << "error ==> " << GCTL_RESET << "unknown calculation type of " << type << std::endl;
		return -1;
	}
	//初始化乘子矩阵
	multi_array.resize(lat_size);
	for (i = 0; i < lat_size; i++)
	{
		multi_array[i].resize(NN_size,1.0); //初始化乘子矩阵为1 适用于地形等直接计算的类型
	}
	//如果计算高程不在同一高程 则不能使用multi_array 同时应该使用calSolution2()函数
	if (strcmp(zfile,"NULL"))
		return 0;
	//如果计算类型不是地形等直接计算类型则需要检验-g选项是否已经设置
	if (strcmp(type,"t"))
	{
		if (GM == GCTL_BDL_MAX || R == GCTL_BDL_MAX)
		{
			std::cerr << GCTL_BOLDRED << "error ==> " << GCTL_RESET << "-g option must be set for gravitational calculation" << std::endl;
			return -1;
		}
	}
	//根据不同类型计算乘子参数和乘子矩阵
	if (!strcmp(type,"d")) //gravity disturbance
	{
//#pragma omp parallel for private(i,j) shared(R,lon_size) schedule(guided)
#pragma omp parallel for private(i,j) schedule(guided)
		for (i = 0; i < lat_size; i++)
		{
			for (j = 0; j < NN_size; j++)
			{
				multi_array[i][j] = pow(R/obsPoint[i*lon_size].rad,j+2)*(j+1);
			}
		}
	}
	else if (!strcmp(type,"r")) //gravity gradient
	{
//#pragma omp parallel for private(i,j) shared(R,lon_size) schedule(guided)
#pragma omp parallel for private(i,j) schedule(guided)
		for (i = 0; i < lat_size; i++)
		{
			for (j = 0; j < NN_size; j++)
			{
				multi_array[i][j] = pow(R/obsPoint[i*lon_size].rad,j+2)*(j+1)*(j+2)/obsPoint[i*lon_size].rad;
			}
		}
	}
	else if (!strcmp(type,"g")) //gravity anomaly
	{
//#pragma omp parallel for private(i,j) shared(R,lon_size) schedule(guided)
#pragma omp parallel for private(i,j) schedule(guided)
		for (i = 0; i < lat_size; i++)
		{
			for (j = 0; j < NN_size; j++)
			{
				multi_array[i][j] = pow(R/obsPoint[i*lon_size].rad,j+2)*(j-1);
			}
		}
	}
	else if (!strcmp(type,"p")) //geo-potential
	{
//#pragma omp parallel for private(i,j) shared(R,lon_size) schedule(guided)
#pragma omp parallel for private(i,j) schedule(guided)
		for (i = 0; i < lat_size; i++)
		{
			for (j = 0; j < NN_size; j++)
			{
				multi_array[i][j] = pow(R/obsPoint[i*lon_size].rad,j+1);
			}
		}
	}
	else if (!strcmp(type,"dlon") || !strcmp(type,"dlat"))
	{
//#pragma omp parallel for private(i,j) shared(R,lon_size) schedule(guided)
#pragma omp parallel for private(i,j) schedule(guided)
		for (i = 0; i < lat_size; i++)
		{
			for (j = 0; j < NN_size; j++)
			{
				multi_array[i][j] = pow(R/obsPoint[i*lon_size].rad,j+2);
			}
		}
	}
	return 0;
}

int shc2xyz::outObs(const char* filename)
{
	if (!strcmp(filename,"NULL")) //没有输入文件 直接输出规则网计算结果
	{
		if (tar_type_ == Null)
		{
			std::cout << "# NaN value = 1e+30" << std::endl;
			std::cout << "# lon(deg) lat(deg) data(unknown)" << std::endl;
			for (int i = 0; i < obsPoint.size(); i++)
			{
				std::cout << std::setprecision(16) << obsPoint[i].lon << " " << obsPoint[i].lat << " " << obsPoint[i].val << std::endl;
			}
		}
		else if (tar_type_ == Topography)
		{
			std::cout << "# NaN value = 1e+30" << std::endl;
			std::cout << "# topography = radius - reference" << std::endl;
			std::cout << "# lon(deg) lat(deg) reference-radius(m) topography(m)" << std::endl;
			for (int i = 0; i < obsPoint.size(); i++)
			{
				std::cout << std::setprecision(16) << obsPoint[i].lon << " " << obsPoint[i].lat << " " 
					<< obsPoint[i].ref << " " << obsPoint[i].val - obsPoint[i].ref << std::endl;
			}
		}
		else if (tar_type_ == HeightAnomaly)
		{
			std::cout << "# NaN value = 1e+30" << std::endl;
			std::cout << "# Normal Gravity = " << NORMAL_GRAVITY << " m/s^2" << std::endl;
			std::cout << "# lon(deg) lat(deg) reference-radius(m) height-anomaly(m)" << std::endl;
			for (int i = 0; i < obsPoint.size(); i++)
			{
				obsPoint[i].info();
			}
		}
		else
		{
			std::cout << "# NaN value = 1e+30" << std::endl;
			std::cout << "# lon(deg) lat(deg) reference-radius(m) altitude(m) grav-field(mGal|Eo)" << std::endl;
			for (int i = 0; i < obsPoint.size(); i++)
			{
				obsPoint[i].info();
			}
		}
	}
	else
	{
		std::ifstream infile;
		gctl::open_infile(infile,filename,"");

		spoint temp_sp;
		std::string temp_str;
		std::stringstream temp_ss;
		while (getline(infile,temp_str))
		{
			if(*(temp_str.begin()) == '#') continue;

			temp_ss.str("");
			temp_ss.clear();
			temp_ss << temp_str;
			temp_ss >> temp_sp.lon >> temp_sp.lat;
			temp_sp.ref = gctl::ellipse_radius_2d(refR, refr, temp_sp.lat*GCTL_Pi/180.0);
			temp_sp.alti = altitude;
			outPoint.push_back(temp_sp);
		}
		infile.close();

		int numM,numN,tempM,tempN;
		double lon1,lon2,lat1,lat2;

		numM = floor((latmax-latmin)/dlat)+1;
		numN = floor((lonmax-lonmin)/dlon)+1;
		for (int i = 0; i < outPoint.size(); i++)
		{
			tempM = floor((outPoint[i].lat-latmin)/dlat);
			tempN = floor((outPoint[i].lon-lonmin)/dlon);

			if (tempM == (numM-1))
				tempM -= 1;
			if (tempN == (numN-1))
				tempN -= 1;

			if (tempM >= 0 && tempN >= 0 && tempM <= numM-2 && tempN <= numN-2)
			{
				lon1 = lonmin+tempN*dlon;
				lon2 = lonmin+(tempN+1)*dlon;
				lat1 = latmin+tempM*dlat;
				lat2 = latmin+(tempM+1)*dlat;
				outPoint[i].val = gctl::sph_linear_interpolate_deg(lat1,lat2,lon1,lon2,
											outPoint[i].lat,outPoint[i].lon,
											obsPoint[tempM*numN+tempN].val,
											obsPoint[tempM*numN+tempN+1].val,
											obsPoint[(tempM+1)*numN+tempN].val,
											obsPoint[(tempM+1)*numN+tempN+1].val);
			}
		}

		if (tar_type_ == Null)
		{
			std::cout << "# NaN value = 1e+30" << std::endl;
			std::cout << "# lon(deg) lat(deg) data(unknown)" << std::endl;
			for (int i = 0; i < outPoint.size(); i++)
			{
				std::cout << std::setprecision(16) << outPoint[i].lon << " " << outPoint[i].lat << " " << outPoint[i].val << std::endl;
			}
		}
		else if (tar_type_ == Topography)
		{
			std::cout << "# NaN value = 1e+30" << std::endl;
			std::cout << "# topography = radius - reference" << std::endl;
			std::cout << "# lon(deg) lat(deg) reference-radius(m) topography(m)" << std::endl;
			for (int i = 0; i < outPoint.size(); i++)
			{
				std::cout << std::setprecision(16) << outPoint[i].lon << " " << outPoint[i].lat << " " 
					<< outPoint[i].ref << " " << outPoint[i].val - outPoint[i].ref << std::endl;
			}
		}
		else if (tar_type_ == HeightAnomaly)
		{
			std::cout << "# NaN value = 1e+30" << std::endl;
			std::cout << "# Normal Gravity = " << NORMAL_GRAVITY << " m/s^2" << std::endl;
			std::cout << "# lon(deg) lat(deg) reference-radius(m) height-anomaly(m)" << std::endl;
			for (int i = 0; i < outPoint.size(); i++)
			{
				outPoint[i].info();
			}
		}
		else
		{
			std::cout << "# NaN value = 1e+30" << std::endl;
			std::cout << "# lon(deg) lat(deg) reference-radius(m) altitude(m) grav-field(mGal|Eo)" << std::endl;
			for (int i = 0; i < outPoint.size(); i++)
			{
				outPoint[i].info();
			}
		}
	}
	return 0;
}

int shc2xyz::calSolution()
{
	//计算
	int i,j,n,m;
	double temp_d,lat;

	gctl::progress_bar bar(lat_size,"Process");

	if (tar_type_ == GravDisturbanceLon)
	{
		for (i = 0; i < lat_size; i++)
		{
			bar.progressed(i);
			lat = latmin + dlat*i;
			//计算伴随勒让德函数 对于同一个纬度只需要计算一次
			gctl::nalf_sfcm(Pnm,Anm,Bnm,NN_size,90.0-lat,norSum);
			//这里可以使用并行加速计算外层循环 内层计算因为是递归计算因此不能并行
			//一种并行方案更快一些
#pragma omp parallel for private(j,n,m,temp_d) shared(i) schedule(guided)
			for (j = 0; j < lon_size; j++)
			{
				temp_d = 0;
				for (n = 0; n < NN_size; n++)
				{
					for (m = 0; m < n+1; m++)
					{
						temp_d += (1.0/cos(lat*GCTL_Pi/180.0))*multi_array[i][n]*m*Pnm[n][m]*(coff_S[n][m]*mCos[j][m] - coff_C[n][m]*mSin[j][m]);
					}
				}
				obsPoint[i*lon_size+j].val = multi_factor*temp_d;
			}
		}
	}
	else if (tar_type_ == GravDisturbanceLat)
	{
		for (i = 0; i < lat_size; i++)
		{
			bar.progressed(i);
			lat = latmin + dlat*i;
			//计算伴随勒让德函数 对于同一个纬度只需要计算一次
			gctl::nalf_sfcm(Pnm,Anm,Bnm,NN_size,90.0-lat,norSum,true);
			//这里可以使用并行加速计算外层循环 内层计算因为是递归计算因此不能并行
			//一种并行方案更快一些
#pragma omp parallel for private(j,n,m,temp_d) shared(i) schedule(guided)
			for (j = 0; j < lon_size; j++)
			{
				temp_d = 0;
				for (n = 0; n < NN_size; n++)
				{
					for (m = 0; m < n+1; m++)
					{
						temp_d += multi_array[i][n]*Pnm[n][m]*(coff_C[n][m]*mCos[j][m]+coff_S[n][m]*mSin[j][m]);
					}
				}
				obsPoint[i*lon_size+j].val = multi_factor*temp_d;
			}
		}
	}
	else
	{
		for (i = 0; i < lat_size; i++)
		{
			bar.progressed(i);
			lat = latmin + dlat*i;
			//计算伴随勒让德函数 对于同一个纬度只需要计算一次
			gctl::nalf_sfcm(Pnm,Anm,Bnm,NN_size,90.0-lat,norSum,false);
			//这里可以使用并行加速计算外层循环 内层计算因为是递归计算因此不能并行
			//一种并行方案更快一些
#pragma omp parallel for private(j,n,m,temp_d) shared(i) schedule(guided)
			for (j = 0; j < lon_size; j++)
			{
				temp_d = 0;
				for (n = 0; n < NN_size; n++)
				{
					for (m = 0; m < n+1; m++)
					{
						temp_d += multi_array[i][n]*Pnm[n][m]*(coff_C[n][m]*mCos[j][m]+coff_S[n][m]*mSin[j][m]);
					}
				}
				obsPoint[i*lon_size+j].val = multi_factor*temp_d;
			}
		}
	}
	return 0;
}

int shc2xyz::calSolution2(const char* type)
{
	//计算
	int i,j,n,m;
	double temp_d,lat;

	gctl::progress_bar bar(lat_size,"Process");
	if (!strcmp(type,"d"))
	{
		for (i = 0; i < lat_size; i++)
		{
			bar.progressed(i);
			lat = latmin + dlat*i;
			//计算伴随勒让德函数 对于同一个纬度只需要计算一次
			gctl::nalf_sfcm(Pnm,Anm,Bnm,NN_size,90.0-lat,norSum);
			//这里可以使用并行加速计算外层循环 内层计算因为是递归计算因此不能并行
			//一种并行方案更快一些
//#pragma omp parallel for private(j,n,m,temp_d) shared(i,multi_factor,lon_size) schedule(guided)
#pragma omp parallel for private(j,n,m,temp_d) shared(i) schedule(guided)
			for (j = 0; j < lon_size; j++)
			{
				temp_d = 0;
				for (n = 0; n < NN_size; n++)
				{
					for (m = 0; m < n+1; m++)
					{
						//pow(R/obsPoint[i*lon_size+j].rad,n+2)*(n+1)
						temp_d += pow(R/obsPoint[i*lon_size+j].rad,n+2)*(n+1)*Pnm[n][m]*(coff_C[n][m]*mCos[j][m]+coff_S[n][m]*mSin[j][m]);
					}
				}
				obsPoint[i*lon_size+j].val = multi_factor*temp_d;
			}
		}
	}
	else if (!strcmp(type,"g"))
	{
		for (i = 0; i < lat_size; i++)
		{
			bar.progressed(i);
			lat = latmin + dlat*i;
			//计算伴随勒让德函数 对于同一个纬度只需要计算一次
			gctl::nalf_sfcm(Pnm,Anm,Bnm,NN_size,90.0-lat,norSum);
			//这里可以使用并行加速计算外层循环 内层计算因为是递归计算因此不能并行
			//一种并行方案更快一些
//#pragma omp parallel for private(j,n,m,temp_d) shared(i,multi_factor,lon_size) schedule(guided)
#pragma omp parallel for private(j,n,m,temp_d) shared(i) schedule(guided)
			for (j = 0; j < lon_size; j++)
			{
				temp_d = 0;
				for (n = 0; n < NN_size; n++)
				{
					for (m = 0; m < n+1; m++)
					{
						//pow(R/obsPoint[i*lon_size+j].rad,n+2)*(n-1)
						temp_d += pow(R/obsPoint[i*lon_size+j].rad,n+2)*(n-1)*Pnm[n][m]*(coff_C[n][m]*mCos[j][m]+coff_S[n][m]*mSin[j][m]);
					}
				}
				obsPoint[i*lon_size+j].val = multi_factor*temp_d;
			}
		}
	}
	else if (!strcmp(type,"p"))
	{
		for (i = 0; i < lat_size; i++)
		{
			bar.progressed(i);
			lat = latmin + dlat*i;
			//计算伴随勒让德函数 对于同一个纬度只需要计算一次
			gctl::nalf_sfcm(Pnm,Anm,Bnm,NN_size,90.0-lat,norSum);
			//这里可以使用并行加速计算外层循环 内层计算因为是递归计算因此不能并行
			//一种并行方案更快一些
//#pragma omp parallel for private(j,n,m,temp_d) shared(i,multi_factor,lon_size) schedule(guided)
#pragma omp parallel for private(j,n,m,temp_d) shared(i) schedule(guided)
			for (j = 0; j < lon_size; j++)
			{
				temp_d = 0;
				for (n = 0; n < NN_size; n++)
				{
					for (m = 0; m < n+1; m++)
					{
						//pow(R/obsPoint[i*lon_size+j].rad,n+1)
						temp_d += pow(R/obsPoint[i*lon_size+j].rad,n+1)*Pnm[n][m]*(coff_C[n][m]*mCos[j][m]+coff_S[n][m]*mSin[j][m]);
					}
				}
				obsPoint[i*lon_size+j].val = multi_factor*temp_d;
			}
		}
	}
	return 0;
}

#endif //_FUNC_H