Merge branch 'non-central-f-inverse' of https://github.com/JacobHass8/math into pr1345

doc/distributions/nc_f.qbk

@@ -26,6 +26,11 @@
 
       // Accessor to non-centrality parameter lambda:
       BOOST_MATH_GPU_ENABLED RealType non_centrality()const;
+
+      // Parameter finders: 
+      BOOST_MATH_GPU_ENABLED static RealType find_non_centrality(const RealType x, const RealType v1, const RealType v2, const RealType p);
+      template <class A, class B, class C, class D>
+      BOOST_MATH_GPU_ENABLED static RealType find_non_centrality(const complemented3_type<A,B,C,D>& c);
    };
    
    }} // namespaces
@@ -53,6 +58,20 @@ for different values of [lambda]:
 
 [graph nc_f_pdf]
 
+      BOOST_MATH_GPU_ENABLED static RealType find_non_centrality(const RealType x, const RealType v1, const RealType v2, const RealType p);
+
+This function returns the non centrality parameter /lambda/ such that:
+
+`cdf(non_central_chi_squared<RealType, Policy>(v1, v2, lambda), x) == p`
+
+      template <class A, class B, class C, class D>
+      BOOST_MATH_GPU_ENABLED static RealType find_non_centrality(const complemented4_type<A,B,C,D>& c);
+
+When called with argument `boost::math::complement(x, v1, v2, q)`
+this function returns the non centrality parameter /lambda/ such that:
+
+`cdf(complement(non_central_chi_squared<RealType, Policy>(v1, v2, lambda), x)) == q`.
+
 [h4 Member Functions]
 
       BOOST_MATH_GPU_ENABLED non_central_f_distribution(RealType v1, RealType v2, RealType lambda);

include/boost/math/distributions/non_central_f.hpp

@@ -17,11 +17,71 @@
 #include <boost/math/distributions/detail/generic_mode.hpp>
 #include <boost/math/special_functions/pow.hpp>
 #include <boost/math/policies/policy.hpp>
+#include <boost/math/distributions/complement.hpp> // complements
+#include <boost/math/distributions/fisher_f.hpp>
+#include <boost/math/special_functions/relative_difference.hpp> 
 
 namespace boost
 {
    namespace math
    {
+      namespace detail
+      {
+         template <class RealType, class Policy>
+         struct non_centrality_finder_f
+         {
+            BOOST_MATH_GPU_ENABLED non_centrality_finder_f(const RealType x_, const RealType v1_, const RealType v2_, const RealType p_, const bool c)
+               : x(x_), v1(v1_), v2(v2_), p(p_), comp(c) {}
+
+            BOOST_MATH_GPU_ENABLED RealType operator()(RealType nc) const
+            {
+               non_central_f_distribution<RealType, Policy> d(v1, v2, nc);
+               return comp ?
+                  RealType(p - cdf(complement(d, x)))
+                  : RealType(cdf(d, x) - p);
+            }
+         private:
+            RealType x, v1, v2, p;
+            bool comp; 
+         };
+         
+         template <class RealType, class Policy>
+         BOOST_MATH_GPU_ENABLED RealType find_non_centrality_f(const RealType x, const RealType v1, const RealType v2, const RealType p, const RealType q, const Policy& pol)
+         {
+            constexpr auto function = "non_central_f<%1%>::find_non_centrality";
+
+            if ( p == 0 || q == 0) {
+               return policies::raise_domain_error<RealType>(function, "Can't find non centrality parameter when the probability is <=0 or >=1, only possible answer is %1%", // LCOV_EXCL_LINE
+                  RealType(boost::math::numeric_limits<RealType>::quiet_NaN()), Policy()); // LCOV_EXCL_LINE
+            }
+
+            // Check if nc = 0 (which is just the F-distribution)
+            // I first tried comparing to boost::math::tools::epsilon<RealType>(),
+            // but this was never satisfied for floats or doubles. Only 
+            // long doubles would correctly return 0.
+            fisher_f_distribution<RealType, Policy> dist(v1, v2); 
+            if (boost::math::relative_difference(pdf(dist, x), p) < 1e-7){
+               return 0;
+            }
+
+            non_centrality_finder_f<RealType, Policy> f(x, v1, v2, p < q ? p : q, p < q ? false : true);
+            RealType guess = RealType(10);                       // Starting guess.
+            RealType factor = RealType(2);                                 // How big steps to take when searching.
+            boost::math::uintmax_t max_iter = policies::get_max_root_iterations<Policy>();
+            tools::eps_tolerance<RealType> tol(policies::digits<RealType, Policy>());
+
+            boost::math::pair<RealType, RealType> result_bracket = tools::bracket_and_solve_root(
+                                 f, guess, factor, false, tol, max_iter, pol);
+            
+            RealType result = result_bracket.first + (result_bracket.second - result_bracket.first)/2;
+            if (max_iter >= policies::get_max_root_iterations<Policy>()) {
+               return policies::raise_evaluation_error<RealType>(function, "Unable to locate solution in a reasonable time:" // LCOV_EXCL_LINE
+                  " or there is no answer to problem.  Current best guess is %1%", result, Policy()); // LCOV_EXCL_LINE
+            }
+            return result;
+         }
+      } // namespace detail
+
       template <class RealType = double, class Policy = policies::policy<> >
       class non_central_f_distribution
       {
@@ -58,6 +118,49 @@ namespace boost
          { // Private data getter function.
             return ncp;
          }
+         BOOST_MATH_GPU_ENABLED static RealType find_non_centrality(const RealType x, const RealType v1, const RealType v2, const RealType p)
+         {
+            constexpr auto function = "non_central_f_distribution<%1%>::find_non_centrality";
+            typedef typename policies::evaluation<RealType, Policy>::type eval_type;
+            typedef typename policies::normalise<
+               Policy,
+               policies::promote_float<false>,
+               policies::promote_double<false>,
+               policies::discrete_quantile<>,
+               policies::assert_undefined<> >::type forwarding_policy;
+            eval_type result = detail::find_non_centrality_f(
+               static_cast<eval_type>(x),
+               static_cast<eval_type>(v1),
+               static_cast<eval_type>(v2),
+               static_cast<eval_type>(p),
+               static_cast<eval_type>(1-p),
+               forwarding_policy());
+            return policies::checked_narrowing_cast<RealType, forwarding_policy>(
+               result,
+               function);
+         }
+         template <class A, class B, class C, class D>
+         BOOST_MATH_GPU_ENABLED static RealType find_non_centrality(const complemented4_type<A,B,C, D>& c)
+         {
+            constexpr auto function = "non_central_f_distribution<%1%>::find_non_centrality";
+            typedef typename policies::evaluation<RealType, Policy>::type eval_type;
+            typedef typename policies::normalise<
+               Policy,
+               policies::promote_float<false>,
+               policies::promote_double<false>,
+               policies::discrete_quantile<>,
+               policies::assert_undefined<> >::type forwarding_policy;
+            eval_type result = detail::find_non_centrality_f(
+               static_cast<eval_type>(c.dist),
+               static_cast<eval_type>(c.param1),
+               static_cast<eval_type>(c.param2),
+               static_cast<eval_type>(1-c.param3),
+               static_cast<eval_type>(c.param3),
+               forwarding_policy());
+            return policies::checked_narrowing_cast<RealType, forwarding_policy>(
+               result,
+               function);
+         }
       private:
          // Data member, initialized by constructor.
          RealType v1;   // alpha.
@@ -404,7 +507,6 @@ namespace boost
                Policy());
          return (x / (1 - x)) * (c.dist.degrees_of_freedom2() / c.dist.degrees_of_freedom1());
       } // quantile complement.
-
    } // namespace math
 } // namespace boost
 

test/cuda_jamfile

@@ -165,6 +165,8 @@ run test_nc_f_pdf_double.cu ;
 run test_nc_f_pdf_float.cu ;
 run test_nc_f_quan_double.cu ;
 run test_nc_f_quan_float.cu ;
+run test_nc_f_finder_double.cu ;
+run test_nc_f_finder_float.cu ;
 
 run test_nc_chi_squared_cdf_double.cu ;
 run test_nc_chi_squared_cdf_float.cu ;

test/test_nc_f.cpp

@@ -141,6 +141,10 @@ void test_spot(
             quantile(dist, P), x, tol * 10);
       BOOST_CHECK_CLOSE(
             quantile(complement(dist, Q)), x, tol * 10);
+      BOOST_CHECK_CLOSE(
+            dist.find_non_centrality(x, a, b, P), ncp, tol * 10);
+      BOOST_CHECK_CLOSE(
+            dist.find_non_centrality(boost::math::complement(x, a, b, Q)), ncp, tol * 10);
    }
    if(boost::math::tools::digits<RealType>() > 50)
    {
@@ -323,6 +327,25 @@ void test_spots(RealType)
    {
       BOOST_CHECK_CLOSE(cdf(boost::math::non_central_f_distribution<RealType>(static_cast<RealType>(1e-100L), 3.f, 1.5f), static_cast<RealType>(1e100L)), static_cast<RealType>(0.6118152873453990639132215575213809716459L), tolerance);
    }
+   
+   // Check find_non_centrality_f edge case handling 
+   // Case when nc=0
+   RealType a = 5;
+   RealType b = 2;
+   RealType nc = 0;
+   RealType x_vals[] = { 0.25, 1.25, 10, 100};
+   boost::math::non_central_f_distribution<RealType> dist_no_centrality(a, b, nc);
+   for (RealType x : x_vals)
+   {
+      RealType P = pdf(dist_no_centrality, x);
+      BOOST_CHECK_CLOSE(dist.find_non_centrality(x, a, b, P), static_cast<RealType>(0), tolerance);
+   }
+   // Case when P=1 or P=0 
+   BOOST_MATH_CHECK_THROW(dist.find_non_centrality(x, a, b, 1), std::domain_error);
+   BOOST_MATH_CHECK_THROW(dist.find_non_centrality(x, a, b, 0), std::domain_error);
+   // Case when Q=1 or Q=0
+   BOOST_MATH_CHECK_THROW(dist.find_non_centrality(boost::math::complement(x, a, b, 1)), std::domain_error);
+   BOOST_MATH_CHECK_THROW(dist.find_non_centrality(boost::math::complement(x, a, b, 0)), std::domain_error);
 } // template <class RealType>void test_spots(RealType)
 
 BOOST_AUTO_TEST_CASE( test_main )

test/test_nc_f_finder_double.cu

@@ -0,0 +1,114 @@
+//  Copyright John Maddock 2016.
+//  Copyright Matt Borland 2024.
+//  Use, modification and distribution are subject to the
+//  Boost Software License, Version 1.0. (See accompanying file
+//  LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
+
+#define BOOST_MATH_OVERFLOW_ERROR_POLICY ignore_error
+
+#include <iostream>
+#include <iomanip>
+#include <vector>
+#include <boost/math/distributions/non_central_f.hpp>
+#include <boost/math/special_functions/relative_difference.hpp>
+#include <boost/random/mersenne_twister.hpp>
+#include <boost/random/uniform_real_distribution.hpp>
+#include "cuda_managed_ptr.hpp"
+#include "stopwatch.hpp"
+
+// For the CUDA runtime routines (prefixed with "cuda_")
+#include <cuda_runtime.h>
+
+typedef double float_type;
+
+/**
+ * CUDA Kernel Device code
+ *
+ */
+__global__ void cuda_test(const float_type *in1, float_type *out, int numElements)
+{
+    int i = blockDim.x * blockIdx.x + threadIdx.x;
+
+    if (i < numElements)
+    {
+        boost::math::non_central_f_distribution<float_type> dist(5, 5, 5);
+        out[i] = dist.find_non_centrality(5, 5, 5, in1[i]);
+    }
+}
+
+/**
+ * Host main routine
+ */
+int main(void)
+{
+  try{
+
+    // Error code to check return values for CUDA calls
+    cudaError_t err = cudaSuccess;
+
+    // Print the vector length to be used, and compute its size
+    int numElements = 50000;
+    std::cout << "[Vector operation on " << numElements << " elements]" << std::endl;
+
+    // Allocate the managed input vector A
+    cuda_managed_ptr<float_type> input_vector1(numElements);
+
+    // Allocate the managed output vector C
+    cuda_managed_ptr<float_type> output_vector(numElements);
+
+    boost::random::mt19937 gen;
+    boost::random::uniform_real_distribution<float_type> dist(0.1, 0.9);
+    // Initialize the input vectors
+    for (int i = 0; i < numElements; ++i)
+    {
+        input_vector1[i] = dist(gen);
+    }
+
+    // Launch the Vector Add CUDA Kernel
+    int threadsPerBlock = 256;
+    int blocksPerGrid =(numElements + threadsPerBlock - 1) / threadsPerBlock;
+    std::cout << "CUDA kernel launch with " << blocksPerGrid << " blocks of " << threadsPerBlock << " threads" << std::endl;
+
+    watch w;
+    cuda_test<<<blocksPerGrid, threadsPerBlock>>>(input_vector1.get(), output_vector.get(), numElements);
+    cudaDeviceSynchronize();
+    std::cout << "CUDA kernal done in " << w.elapsed() << "s" << std::endl;
+
+    err = cudaGetLastError();
+    if (err != cudaSuccess)
+    {
+        std::cerr << "Failed to launch non_central_f distribution kernel (error code " << cudaGetErrorString(err) << ")!" << std::endl;
+        return EXIT_FAILURE;
+    }
+
+    // Verify that the result vector is correct
+    std::vector<float_type> results;
+    results.reserve(numElements);
+    w.reset();
+
+    boost::math::non_central_f_distribution<float_type> non_central_dist(5, 5, 5);
+    for(int i = 0; i < numElements; ++i)
+    {
+        results.push_back(non_central_dist.find_non_centrality(5, 5, 5, input_vector1[i]));
+    }
+    double t = w.elapsed();
+    // check the results
+    for(int i = 0; i < numElements; ++i)
+    {
+        if (boost::math::epsilon_difference(output_vector[i], results[i]) > 100.0)
+        {
+            std::cerr << "Result verification failed at element " << i << "!" << std::endl;
+            std::cerr << "Error rate was: " << boost::math::epsilon_difference(output_vector[i], results[i]) << "eps" << std::endl;
+            return EXIT_FAILURE;
+        }
+    }
+
+    std::cout << "Test PASSED with calculation time: " << t << "s" << std::endl;
+    std::cout << "Done\n";
+  }
+  catch(const std::exception& e)
+  {
+    std::cerr << "Stopped with exception: " << e.what() << std::endl;
+  }
+  return 0;
+}

test/test_nc_f_finder_float.cu

@@ -0,0 +1,114 @@
+//  Copyright John Maddock 2016.
+//  Copyright Matt Borland 2024.
+//  Use, modification and distribution are subject to the
+//  Boost Software License, Version 1.0. (See accompanying file
+//  LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
+
+#define BOOST_MATH_OVERFLOW_ERROR_POLICY ignore_error
+
+#include <iostream>
+#include <iomanip>
+#include <vector>
+#include <boost/math/distributions/non_central_f.hpp>
+#include <boost/math/special_functions/relative_difference.hpp>
+#include <boost/random/mersenne_twister.hpp>
+#include <boost/random/uniform_real_distribution.hpp>
+#include "cuda_managed_ptr.hpp"
+#include "stopwatch.hpp"
+
+// For the CUDA runtime routines (prefixed with "cuda_")
+#include <cuda_runtime.h>
+
+typedef float float_type;
+
+/**
+ * CUDA Kernel Device code
+ *
+ */
+__global__ void cuda_test(const float_type *in1, float_type *out, int numElements)
+{
+    int i = blockDim.x * blockIdx.x + threadIdx.x;
+
+    if (i < numElements)
+    {
+        boost::math::non_central_f_distribution<float_type> dist(5, 5, 5);
+        out[i] = dist.find_non_centrality(5, 5, 5, in1[i]);
+    }
+}
+
+/**
+ * Host main routine
+ */
+int main(void)
+{
+  try{
+
+    // Error code to check return values for CUDA calls
+    cudaError_t err = cudaSuccess;
+
+    // Print the vector length to be used, and compute its size
+    int numElements = 50000;
+    std::cout << "[Vector operation on " << numElements << " elements]" << std::endl;
+
+    // Allocate the managed input vector A
+    cuda_managed_ptr<float_type> input_vector1(numElements);
+
+    // Allocate the managed output vector C
+    cuda_managed_ptr<float_type> output_vector(numElements);
+
+    boost::random::mt19937 gen;
+    boost::random::uniform_real_distribution<float_type> dist(0.1, 0.9);
+    // Initialize the input vectors
+    for (int i = 0; i < numElements; ++i)
+    {
+        input_vector1[i] = dist(gen);
+    }
+
+    // Launch the Vector Add CUDA Kernel
+    int threadsPerBlock = 256;
+    int blocksPerGrid =(numElements + threadsPerBlock - 1) / threadsPerBlock;
+    std::cout << "CUDA kernel launch with " << blocksPerGrid << " blocks of " << threadsPerBlock << " threads" << std::endl;
+
+    watch w;
+    cuda_test<<<blocksPerGrid, threadsPerBlock>>>(input_vector1.get(), output_vector.get(), numElements);
+    cudaDeviceSynchronize();
+    std::cout << "CUDA kernal done in " << w.elapsed() << "s" << std::endl;
+
+    err = cudaGetLastError();
+    if (err != cudaSuccess)
+    {
+        std::cerr << "Failed to launch non_central_f distribution kernel (error code " << cudaGetErrorString(err) << ")!" << std::endl;
+        return EXIT_FAILURE;
+    }
+
+    // Verify that the result vector is correct
+    std::vector<float_type> results;
+    results.reserve(numElements);
+    w.reset();
+
+    boost::math::non_central_f_distribution<float_type> non_central_dist(5, 5, 5);
+    for(int i = 0; i < numElements; ++i)
+    {
+        results.push_back(non_central_dist.find_non_centrality(5, 5, 5, input_vector1[i]));
+    }
+    double t = w.elapsed();
+    // check the results
+    for(int i = 0; i < numElements; ++i)
+    {
+        if (boost::math::epsilon_difference(output_vector[i], results[i]) > 100.0)
+        {
+            std::cerr << "Result verification failed at element " << i << "!" << std::endl;
+            std::cerr << "Error rate was: " << boost::math::epsilon_difference(output_vector[i], results[i]) << "eps" << std::endl;
+            return EXIT_FAILURE;
+        }
+    }
+
+    std::cout << "Test PASSED with calculation time: " << t << "s" << std::endl;
+    std::cout << "Done\n";
+  }
+  catch(const std::exception& e)
+  {
+    std::cerr << "Stopped with exception: " << e.what() << std::endl;
+  }
+  return 0;
+}