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/* Copyright (c) 2007-2014 Massachusetts Institute of Technology
*
* Permission is hereby granted, free of charge, to any person obtaining
* a copy of this software and associated documentation files (the
* "Software"), to deal in the Software without restriction, including
* without limitation the rights to use, copy, modify, merge, publish,
* distribute, sublicense, and/or sell copies of the Software, and to
* permit persons to whom the Software is furnished to do so, subject to
* the following conditions:
*
* The above copyright notice and this permission notice shall be
* included in all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
* LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
* OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
* WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
*/
#include <math.h>
#include <float.h>
#include "nlopt-internal.h"
/*************************************************************************/
int nlopt_isinf(double x) {
return fabs(x) >= HUGE_VAL * 0.99
#ifdef HAVE_ISINF
|| isinf(x)
#endif
;
}
/*************************************************************************/
void NLOPT_STDCALL nlopt_version(int *major, int *minor, int *bugfix)
{
*major = MAJOR_VERSION;
*minor = MINOR_VERSION;
*bugfix = BUGFIX_VERSION;
}
/*************************************************************************/
static const char nlopt_algorithm_names[NLOPT_NUM_ALGORITHMS][256] = {
"DIRECT (global, no-derivative)",
"DIRECT-L (global, no-derivative)",
"Randomized DIRECT-L (global, no-derivative)",
"Unscaled DIRECT (global, no-derivative)",
"Unscaled DIRECT-L (global, no-derivative)",
"Unscaled Randomized DIRECT-L (global, no-derivative)",
"Original DIRECT version (global, no-derivative)",
"Original DIRECT-L version (global, no-derivative)",
#ifdef WITH_CXX
"StoGO (global, derivative-based)",
"StoGO with randomized search (global, derivative-based)",
#else
"StoGO (NOT COMPILED)",
"StoGO randomized (NOT COMPILED)",
#endif
"original L-BFGS code by Nocedal et al. (NOT COMPILED)",
"Limited-memory BFGS (L-BFGS) (local, derivative-based)",
"Principal-axis, praxis (local, no-derivative)",
"Limited-memory variable-metric, rank 1 (local, derivative-based)",
"Limited-memory variable-metric, rank 2 (local, derivative-based)",
"Truncated Newton (local, derivative-based)",
"Truncated Newton with restarting (local, derivative-based)",
"Preconditioned truncated Newton (local, derivative-based)",
"Preconditioned truncated Newton with restarting (local, derivative-based)",
"Controlled random search (CRS2) with local mutation (global, no-derivative)",
"Multi-level single-linkage (MLSL), random (global, no-derivative)",
"Multi-level single-linkage (MLSL), random (global, derivative)",
"Multi-level single-linkage (MLSL), quasi-random (global, no-derivative)",
"Multi-level single-linkage (MLSL), quasi-random (global, derivative)",
"Method of Moving Asymptotes (MMA) (local, derivative)",
"COBYLA (Constrained Optimization BY Linear Approximations) (local, no-derivative)",
"NEWUOA unconstrained optimization via quadratic models (local, no-derivative)",
"Bound-constrained optimization via NEWUOA-based quadratic models (local, no-derivative)",
"Nelder-Mead simplex algorithm (local, no-derivative)",
"Sbplx variant of Nelder-Mead (re-implementation of Rowan's Subplex) (local, no-derivative)",
"Augmented Lagrangian method (local, no-derivative)",
"Augmented Lagrangian method (local, derivative)",
"Augmented Lagrangian method for equality constraints (local, no-derivative)",
"Augmented Lagrangian method for equality constraints (local, derivative)",
"BOBYQA bound-constrained optimization via quadratic models (local, no-derivative)",
"ISRES evolutionary constrained optimization (global, no-derivative)",
"Augmented Lagrangian method (needs sub-algorithm)",
"Augmented Lagrangian method for equality constraints (needs sub-algorithm)",
"Multi-level single-linkage (MLSL), random (global, needs sub-algorithm)",
"Multi-level single-linkage (MLSL), quasi-random (global, needs sub-algorithm)",
"Sequential Quadratic Programming (SQP) (local, derivative)",
"CCSA (Conservative Convex Separable Approximations) with simple quadratic approximations (local, derivative)",
"ESCH evolutionary strategy"
};
const char * NLOPT_STDCALL nlopt_algorithm_name(nlopt_algorithm a)
{
if (((int) a) < 0 || a >= NLOPT_NUM_ALGORITHMS) return "UNKNOWN";
return nlopt_algorithm_names[a];
}
/*************************************************************************/
/* get thread id, if possible, for use in nlopt_srand_time to ensure that
different threads have a different default seed even if they are called
simultaneously */
#if defined(_WIN32) || defined(__WIN32__)
# include <windows.h>
# define my_gettid GetCurrentThreadId
#elif defined(HAVE_GETTID_SYSCALL)
# include <unistd.h>
# include <sys/syscall.h>
# define my_gettid() syscall(SYS_gettid)
#elif defined(HAVE_GETPID)
# include <sys/types.h>
# include <unistd.h>
# define my_gettid getpid
#else
# define my_gettid() (0)
#endif
/*************************************************************************/
static THREADLOCAL int nlopt_srand_called = 0;
void NLOPT_STDCALL nlopt_srand(unsigned long seed) {
nlopt_srand_called = 1;
nlopt_init_genrand(seed);
}
void NLOPT_STDCALL nlopt_srand_time(void) {
nlopt_srand(nlopt_time_seed() + my_gettid() * 314159);
}
void nlopt_srand_time_default(void) {
if (!nlopt_srand_called) nlopt_srand_time();
}
/*************************************************************************/
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