How to use the interface.store_dobldobl_system function in Interface

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github benjaminantieau / persispy / PHCpy / build / lib.linux-x86_64-2.7 / phcpy / trackers.py View on Github external
On return are the string representations of the solutions
    computed at the end of the paths.
    """
    from phcpy2c import py2c_copy_dobldobl_container_to_target_system
    from phcpy2c import py2c_copy_dobldobl_container_to_start_system
    from phcpy2c import py2c_copy_dobldobl_container_to_start_solutions
    from phcpy2c import py2c_create_dobldobl_homotopy
    from phcpy2c import py2c_create_dobldobl_homotopy_with_gamma
    from phcpy2c import py2c_solve_by_dobldobl_homotopy_continuation
    from phcpy2c import py2c_solcon_clear_dobldobl_solutions
    from phcpy2c import py2c_copy_dobldobl_target_solutions_to_container
    from interface import store_dobldobl_system
    from interface import store_dobldobl_solutions, load_dobldobl_solutions
    store_dobldobl_system(target)
    py2c_copy_dobldobl_container_to_target_system()
    store_dobldobl_system(start)
    py2c_copy_dobldobl_container_to_start_system()
    # py2c_clear_dobldobl_homotopy()
    if(gamma == 0):
        py2c_create_dobldobl_homotopy()
    else:
        py2c_create_dobldobl_homotopy_with_gamma(gamma.real, gamma.imag)
    dim = len(start)
    store_dobldobl_solutions(dim, sols)
    py2c_copy_dobldobl_container_to_start_solutions()
    py2c_solve_by_dobldobl_homotopy_continuation(tasks)
    py2c_solcon_clear_dobldobl_solutions()
    py2c_copy_dobldobl_target_solutions_to_container()
    return load_dobldobl_solutions()
github benjaminantieau / persispy / PHCpy / build / lib.linux-x86_64-2.7 / phcpy / trackers.py View on Github external
By default, a random gamma constant is generated,
    otherwise gamma must be a nonzero complex constant.
    On return are the string representations of the solutions
    computed at the end of the paths.
    """
    from phcpy2c import py2c_copy_dobldobl_container_to_target_system
    from phcpy2c import py2c_copy_dobldobl_container_to_start_system
    from phcpy2c import py2c_copy_dobldobl_container_to_start_solutions
    from phcpy2c import py2c_create_dobldobl_homotopy
    from phcpy2c import py2c_create_dobldobl_homotopy_with_gamma
    from phcpy2c import py2c_solve_by_dobldobl_homotopy_continuation
    from phcpy2c import py2c_solcon_clear_dobldobl_solutions
    from phcpy2c import py2c_copy_dobldobl_target_solutions_to_container
    from interface import store_dobldobl_system
    from interface import store_dobldobl_solutions, load_dobldobl_solutions
    store_dobldobl_system(target)
    py2c_copy_dobldobl_container_to_target_system()
    store_dobldobl_system(start)
    py2c_copy_dobldobl_container_to_start_system()
    # py2c_clear_dobldobl_homotopy()
    if(gamma == 0):
        py2c_create_dobldobl_homotopy()
    else:
        py2c_create_dobldobl_homotopy_with_gamma(gamma.real, gamma.imag)
    dim = len(start)
    store_dobldobl_solutions(dim, sols)
    py2c_copy_dobldobl_container_to_start_solutions()
    py2c_solve_by_dobldobl_homotopy_continuation(tasks)
    py2c_solcon_clear_dobldobl_solutions()
    py2c_copy_dobldobl_target_solutions_to_container()
    return load_dobldobl_solutions()
github benjaminantieau / persispy / PHCpy / build / lib.linux-x86_64-2.7 / phcpy / solver.py View on Github external
def dobldobl_deflate(system, solutions):
    """
    The deflation method augments the given system with
    derivatives to restore the quadratic convergence of
    Newton's method at isolated singular solutions,
    in double double precision.
    After application of deflation with default settings,
    the new approximate solutions are returned.
    """
    from phcpy2c import py2c_dobldobl_deflate
    from interface import store_dobldobl_system
    from interface import store_dobldobl_solutions, load_dobldobl_solutions
    store_dobldobl_system(system)
    store_dobldobl_solutions(len(system), solutions)
    py2c_dobldobl_deflate()
    result = load_dobldobl_solutions()
    return result
github benjaminantieau / persispy / PHCpy / build / lib.linux-x86_64-2.7 / phcpy / sets.py View on Github external
Given in embsys an embedded polynomial system and
    solutions with nonzero slace variables in esols,
    does one step in the homotopy cascade,
    with double double precision arithmetic.
    The list on return contains witness points on
    lower dimensional solution components.
    """
    from phcpy2c import py2c_copy_dobldobl_container_to_start_system
    from phcpy2c import py2c_copy_dobldobl_container_to_start_solutions
    from phcpy2c import py2c_dobldobl_cascade_homotopy
    from phcpy2c import py2c_solve_by_dobldobl_homotopy_continuation
    from phcpy2c import py2c_solcon_clear_dobldobl_solutions
    from phcpy2c import py2c_copy_dobldobl_target_solutions_to_container
    from interface import store_dobldobl_system
    from interface import store_dobldobl_solutions, load_dobldobl_solutions
    store_dobldobl_system(embsys)
    py2c_copy_dobldobl_container_to_start_system()
    store_dobldobl_solutions(len(embsys), esols)
    py2c_copy_dobldobl_container_to_start_solutions()
    py2c_dobldobl_cascade_homotopy()
    py2c_solve_by_dobldobl_homotopy_continuation()
    py2c_solcon_clear_dobldobl_solutions()
    py2c_copy_dobldobl_target_solutions_to_container()
    return load_dobldobl_solutions()
github benjaminantieau / persispy / PHCpy / build / lib.linux-x86_64-2.7 / phcpy / solver.py View on Github external
def dobldobl_usolve(pol, mxi, eps):
    """
    Applies the method of Durand-Kerner (aka Weierstrass)
    to the polynomial in the string pol, in double double precision
    The maximum number of iterations is in mxi,
    the requirement on the accuracy in eps.
    """
    from phcpy2c import py2c_usolve_dobldobl
    from interface import store_dobldobl_system, load_dobldobl_solutions
    store_dobldobl_system([pol])
    nit = py2c_usolve_dobldobl(mxi, eps)
    rts = load_dobldobl_solutions()
    return (nit, rts)
github benjaminantieau / persispy / PHCpy / build / lib.linux-x86_64-2.7 / phcpy / solver.py View on Github external
def permute_dobldobl_system(pols):
    """
    Permutes the equations in the list of polynomials in pols
    with coefficients in double double precision,
    along the permutation used in the mixed volume computation.
    """
    from phcpy2c import py2c_celcon_permute_dobldobl_system
    from interface import store_dobldobl_system, load_dobldobl_system
    store_dobldobl_system(pols)
    py2c_celcon_permute_dobldobl_system()
    return load_dobldobl_system()
github benjaminantieau / persispy / phc / ubuntu / phcpy / solver.py View on Github external
def dobldobl_usolve(pol, mxi, eps):
    """
    Applies the method of Durand-Kerner (aka Weierstrass)
    to the polynomial in the string pol, in double double precision
    The maximum number of iterations is in mxi,
    the requirement on the accuracy in eps.
    """
    from phcpy2c import py2c_usolve_dobldobl
    from interface import store_dobldobl_system, load_dobldobl_solutions
    store_dobldobl_system([pol])
    nit = py2c_usolve_dobldobl(mxi, eps)
    rts = load_dobldobl_solutions()
    return (nit, rts)