function exponent_m = monomialreduction(exponent_m,exponent_p,options,csclasses,LPmodel) %MONOMIALREDUCTION Internal function for monomial reduction in SOS programs % Author Johan Löfberg % $Id: monomialreduction.m,v 1.2 2006/09/26 14:28:43 joloef Exp $ % ********************************************** % TRIVIAL REDUCTIONS (stupid initial generation) % ********************************************** mindegrees = min(exponent_p,[],1); maxdegrees = max(exponent_p,[],1); mindeg = min(sum(exponent_p,2)); maxdeg = max(sum(exponent_p,2)); if size(exponent_m{1},2)==0 % Stupid case : set(sos(parametric)) if options.verbose>0;disp('Initially 1 monomials in R^0');end else if options.verbose>0;disp(['Initially ' num2str(sum(cellfun('prodofsize',exponent_m)/size(exponent_m{1},2))) ' monomials in R^' num2str(size(exponent_p,2))]);end end for i = 1:length(csclasses) t = cputime; % THE CODE BELOW IS MESSY TO HANDLE SEVERAL BUGS IN MATLAB %too_large_term = any(exponent_m-repmat(maxdegrees/2,size(exponent_m,1),1)>0,2);% DOES NOT HANDLE ODD % POLYNIMIALS CORRECTLY a1 = full(ceil((1+maxdegrees)/2)); % 6.5.1 in linux freaks on sparse stuff... if isempty(a1) a1 = zeros(size(maxdegrees)); end a2 = full(size(exponent_m{i},1)); too_large_term = any(exponent_m{i}-repmat(a1,a2,1)>0,2); %too_small_term = any(exponent_m-repmat(mindegrees/2,size(exponent_m,1),1)<0,2); a1 = full(floor(mindegrees/2)); if isempty(a1) a1 = zeros(size(mindegrees)); end a2 = full(size(exponent_m{i},1)); too_small_term = any(exponent_m{i}-repmat(a1,a2,1)<0,2);%x^2+xz %too_large_sum = any(sum(exponent_m,2)-maxdeg/2>0,2); % DOES NOT HANDLE ODD % POLYNIMIALS CORRECTLY too_large_sum = any(sum(exponent_m{i},2)-ceil((1+maxdeg)/2)>0,2); too_small_sum = any(sum(exponent_m{i},2)-mindeg/2<0,2); keep = setdiff1D((1:size(exponent_m{i},1)),find(too_large_term | too_small_term | too_large_sum | too_small_sum)); exponent_m{i} = exponent_m{i}(keep,:); t = cputime-t; end if options.verbose>1;disp(['Removing large/small............Keeping ' num2str(sum(cellfun('prodofsize',exponent_m)/size(exponent_m{1},2))) ' monomials (' num2str(t) 'sec)']);end % ************************************************ % Homogenuous? % ************************************************ if all(sum(exponent_p,2)==sum(exponent_p(1,:))) for i = 1:length(csclasses) j = csclasses{i}; t = cputime; exponent_m{i} = exponent_m{i}(sum(exponent_m{i},2)==sum(exponent_p(1,:))/2,:); t = cputime-t; end if options.verbose>1;disp(['Homogenuous form!...............Keeping ' num2str(sum(cellfun('prodofsize',exponent_m)/size(exponent_m{1},2))) ' monomials (' num2str(t) 'sec)']);end end % ************************************************ % DIAGONAL CONSISTENCY : MONOMIAL ONLY IN % DIAGONAL, CONSTRAINED TO BE ZER0, CAN BE REMOVED % ************************************************ if (options.sos.inconsistent==1) & ~options.sos.csp t = cputime; keep = consistent(exponent_m{1},exponent_p); exponent_m{1} = exponent_m{1}(keep,:); t = cputime-t; if options.verbose>0;disp(['Diagonal inconsistensies........Keeping ' num2str(size(exponent_m{1},1)) ' monomials (' num2str(t) 'sec)']);end end % *********************************************************** % NEWTON POLYTOPE CHECK % *********************************************************** if options.sos.newton t = cputime; [exponent_m,changed,no_lp_solved] = newtonreduce(exponent_m,exponent_p,options,LPmodel); t = cputime-t; if options.verbose>1 | (options.verbose>0 & 1+changed); info = ['Newton polytope (' num2str(no_lp_solved) ' LPs)']; info = [info repmat('.',1,32-length(info))]; disp([info 'Keeping ' num2str(size(exponent_m{end},1)) ' monomials (' num2str(t) 'sec)']); end end if (options.sos.inconsistent==2) & ~options.sos.csp t = cputime; keep = consistent(exponent_m{1},exponent_p); exponent_m{1} = exponent_m{1}(keep,:); t = cputime-t; if options.verbose>1;disp(['Diagonal inconsistensies........Keeping ' num2str(size(exponent_m,1)) ' monomials (' num2str(t) 'sec)']);end end