代码搜索：Formulation

找到约 295 项符合「Formulation」的源代码

代码结果 295
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c ne.c

/** * \file ne.c * \author Peter Corke * \brief Compute the recursive Newton-Euler formulation * * Copyright (c) 2002 Peter I. Corke * * Permission to use and distribute is granted, provided t
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www.eeworm.com/read/424063/10500680

m rlsppd.m

function [l,p] = rlsppd(b_num,a_den,char_poly) %RLSPPD Discrete pole placement (difference operator formulation) % % Computes the controller polynomials given the discrete time % system defined by
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www.eeworm.com/read/243539/12935359

c ne.c

/** * \file ne.c * \author Peter Corke * \brief Compute the recursive Newton-Euler formulation * * Copyright (c) 2002 Peter I. Corke * * Permission to use and distribute is granted, provided t
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www.eeworm.com/read/477110/6747950

c ne.c

/** * \file ne.c * \author Peter Corke * \brief Compute the recursive Newton-Euler formulation */ /* * Copyright (C) 1999-2008, by Peter I. Corke * * This file is part of The Robotics Toolbox
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www.eeworm.com/read/147096/12584475

m rlsppd.m

function [l,p] = rlsppd(b_num,a_den,char_poly) %RLSPPD Discrete pole placement (difference operator formulation) % % Computes the controller polynomials given the discrete time % system defined by
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www.eeworm.com/read/101557/15826681

m rlsppd.m

function [l,p] = rlsppd(b_num,a_den,char_poly) %RLSPPD Discrete pole placement (difference operator formulation) % % Computes the controller polynomials given the discrete time % system defined by
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www.eeworm.com/read/289743/8529932

m hill_obj.m

function [f,df]=hill_obj(x,dims,ii,dd,pars); % % computes the objective function and gradient of the non-convex formulation of MVU. % % copyright by Kilian Q. Weinberger, 2006 % % % % This file is
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www.eeworm.com/read/282683/9074167

m hill_obj.m

function [f,df]=hill_obj(x,dims,ii,dd,pars); % % computes the objective function and gradient of the non-convex formulation of MVU. % % copyright by Kilian Q. Weinberger, 2006 % % % % This file is
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www.eeworm.com/read/380715/9133989

m unc_nn_griewangk.m

function [fval]=unc_nn_Griewangk(x) %reference: %note that you can get the formulation of unc_nn_Griewangk from some %aritcles,such as %(1)Hartmut Pohlheim 'Genetic Algorithm Toolbox Test Function
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www.eeworm.com/read/380715/9134025

m unc_nn_schwefel.m

function [fval]=unc_nn_Schwefel(x) %reference: %note that you can get the formulation of unc_nn_Schwefel from some %aritcles,such as %(1)Hartmut Pohlheim 'Genetic Algorithm Toolbox Test Functions'
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