exprtk_simple_example_16.cpp

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/*
 **************************************************************
 *         C++ Mathematical Expression Toolkit Library        *
 *                                                            *
 * Simple Example 16                                          *
 * Author: Arash Partow (1999-2024)                           *
 * URL: https://www.partow.net/programming/exprtk/index.html  *
 *                                                            *
 * Copyright notice:                                          *
 * Free use of the Mathematical Expression Toolkit Library is *
 * permitted under the guidelines and in accordance with the  *
 * most current version of the MIT License.                   *
 * https://www.opensource.org/licenses/MIT                    *
 * SPDX-License-Identifier: MIT                               *
 *                                                            *
 **************************************************************
*/
 
 
#include <cstdio>
#include <cstdlib>
#include <string>
 
#include "exprtk.hpp"
 
 
template <typename T>
void linear_least_squares()
{
   typedef exprtk::symbol_table<T> symbol_table_t;
   typedef exprtk::expression<T>   expression_t;
   typedef exprtk::parser<T>       parser_t;
 
   const std::string linear_least_squares_program =
      " if (x[] == y[])                                        "
      " {                                                      "
      "    var mean_x := avg(x);                               "
      "    var mean_y := avg(y);                               "
      "                                                        "
      "    beta  := sum((x - mean_x) * (y - mean_y)) /         "
      "             sum((x - mean_x)^2);                       "
      "                                                        "
      "    alpha := mean_y - beta * mean_x;                    "
      "                                                        "
      "    rmse  := sqrt(sum((beta * x + alpha - y)^2) / y[]); "
      " }                                                      "
      " else                                                   "
      " {                                                      "
      "    alpha := null;                                      "
      "    beta  := null;                                      "
      "    rmse  := null;                                      "
      " }                                                      ";
 
   T x[] = { T(1.0), T(2.0), T(3.0), T(4.0), T(5.0), T(6.0), T(7.0), T(8.0), T(9.0), T(10) };
   T y[] = { T(8.7), T(6.8), T(6.0), T(5.6), T(3.8), T(3.0), T(2.4), T(1.7), T(0.4), T(-1) };
 
   T alpha = T(0);
   T beta  = T(0);
   T rmse  = T(0);
 
   symbol_table_t symbol_table;
   symbol_table.add_variable("alpha", alpha);
   symbol_table.add_variable("beta" , beta );
   symbol_table.add_variable("rmse" , rmse );
   symbol_table.add_vector  ("x"    , x    );
   symbol_table.add_vector  ("y"    , y    );
 
   expression_t expression;
   expression.register_symbol_table(symbol_table);
 
   parser_t parser;
   if (!parser.compile(linear_least_squares_program,expression))
   {
      printf("error: %s\n",parser.error().c_str());
      return;
   }
 
   expression.value();
 
   printf("alpha: %15.12f\n", alpha);
   printf("beta:  %15.12f\n", beta );
   printf("rmse:  %15.12f\n", rmse );
   printf("y = %15.12fx + %15.12f\n", beta, alpha);
}
 
int main()
{
   linear_least_squares<double>();
   return 0;
}