代码搜索:APPROXIMATION

找到约 1,542 项符合「APPROXIMATION」的源代码

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h cra.h

/*********************************************************************** File: cra.h Rev: a-1 Date: 07/28/2000 Copyright (c) 1996, 2001 by David M. Warme ***************************************
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m seg_approx_ode.m

function [SEG,SPf,intersect_flag] = seg_approx_ode(sys_eq,ode_param,X0,INV,SP0,t0,tf,Pcon) % Approximate a single segment of a flow pipe for a `nonlinear` dynamics. % % Syntax: % "[SEG,SPf,int
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lnt co-arch.lnt

// co-arch.lnt // Compiler Options for Archimedes C // This file contains options to allow PC-lint to process source // files for your compiler. It is used as follows: // //
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lnt co-arch.lnt

// co-arch.lnt // Compiler Options for Archimedes C // This file contains options to allow PC-lint to process source // files for your compiler. It is used as follows: // //
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m t_algorithms_doc.m

%% Algorithms for computing tensor decompositions %% Alternating least squares for PARAFAC/CANDECOMP % The function |parafac_als| computes an estimate of the best rank-R % PARAFAC model of a tens
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c print_62.c

/*===========================================================================*/ /* SEED reader | print_type62 | station header */ /*===================================
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m gmm_distance_bhattacharyya.m

function [Bc,Bd] = gmm_distance_bhattacharyya(g1, g2, N) % Monte Carlo approximation of Bhattacharyya distance. % % Note: MC integration of the form: integral of p(x)f(x) dx % require that p(x)
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m gmm_distance_bhattacharyya.m

function [Bc,Bd] = gmm_distance_bhattacharyya(g1, g2, N) % Monte Carlo approximation of Bhattacharyya distance. % % Note: MC integration of the form: integral of p(x)f(x) dx % require that p(x)
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m readme.m

% Demonstration examples for using SIMC model reduction (see simc_reduce.m) and % PID tuning (see simc_pidtuning.m) rules as described in Multivariable Feedback % Control by Skogestad and Postlethwa
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m simc_reduce.m

function [rsys,k,theta,tau1,tau2] = simc_reduce(sys,order,tauc) % SIMC_REDUCE Returns a first- or second-order time delay model as % a low-order approximation of a system model by applying the SIMC