📄 feasible_point.m
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function result = feasible_point(con,p)
% Check the feasibility of the point "p" with respect to "con"
%
% Syntax:
% "result = feasible_point(con,p)"
%
% Description:
% "feasible_point(con,p)" returns "1" if the point "p" satisfies the linear
% constraints represented by "con", and "0" if "p" does not.
%
% Examples:
% Given the linear constraint object "con" representing a square in the
% plane x3=0 with corners at (x1,x2) pairs (2,1), (2,3), (4,3), and
% (4,1) and point "p = [3 2 0]'".
%
%
%
% "result = feasible_point(con,p)"
%
% "result = 1"
%
%
%
% Now use "p = [5 4 2]'".
%
%
%
% "result = feasible_point(con,p)"
%
% "result = 0"
%
%
%
% See Also:
% linearcon
global GLOBAL_APPROX_PARAM
epsilon = GLOBAL_APPROX_PARAM.poly_epsilon;
% Equality constraints first
CE = con.CE; dE = con.dE;
result = 1;
for k = 1:length(dE)
if abs(CE(k,:)*p - dE(k)) > epsilon
result = 0;
return
end
end
% Inequality constraints next
CI = con.CI; dI = con.dI;
result = 1;
for k = 1:length(dI)
if CI(k,:)*p > (dI(k) + epsilon)
result = 0;
return
end
end
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