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cpp gps.cpp

/* Module : GPS.CPP Purpose: "C" style Implementation to GPS32 Created: PJN / 28-12-1997 History: PJN / 20-01-1998 1. A number of problems were discovered when GPSLIB was being
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www.eeworm.com/read/190580/8441987

cpp gps.cpp

/* Module : GPS.CPP Purpose: "C" style Implementation to GPS32 Created: PJN / 28-12-1997 History: PJN / 20-01-1998 1. A number of problems were discovered when GPSLIB was being
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www.eeworm.com/read/185143/9055843

notes

Notes on bi-directional simultanious I/O: (from barrett@asgard.cs.colorado.edu) Problems Discussed: - How do you prevent a write from blocking when select(2) returns true? - How do you detect
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notes

Notes on bi-directional simultanious I/O: (from barrett@asgard.cs.colorado.edu) Problems Discussed: - How do you prevent a write from blocking when select(2) returns true? - How do you detect
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www.eeworm.com/read/371997/9525703

m ex1bvp.m

function ex1bvp %EX1BVP Example 1 of the BVP tutorial. % This is the example for MUSN in U. Ascher, R. Mattheij, and R. Russell, % Numerical Solution of Boundary Value Problems for Ordinary D
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m ex6bvp.m

function ex6bvp %EX6BVP Example 6 of the BVP tutorial. % This is Example 2 from M. Kubicek et alia, Test examples for comparison % of codes for nonlinear boundary value problems in ordinary d
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www.eeworm.com/read/169313/9867310

patch readline-2.0.patch

This patch corrects a config mistake in GNU readline-2.0 that causes it to mishandle signals, resulting in problems with ftp's ^C handling. *** signals.c.dist Wed Aug 3 11:25:57 1994 --- signals.c
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m simu_anneal.m

function simu_anneal(obj_fun, range) % simu_anneal.m % function simu_anneal(obj_fun, range) % Simulated annealing for optimization % (minimization only) problems % obj_fun is a dot m file to
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m lp_solve.m

%LP_SOLVE Solves mixed integer linear programming problems. % % SYNOPSIS: [obj,x,duals] = lp_solve(f,a,b,e,vlb,vub,xint,autoscale,keep) % % solves the MILP problem % % max v = f'*x
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m lp_maker.m

%LP_MAKER Makes mixed integer linear programming problems. % % SYNOPSIS: [lp_handle] = lp_maker(f,a,b,e,vlb,vub,xint,autoscale,setminim) % make the MILP problem % max v = f'*x % a
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