326 lines
10 KiB
Mathematica
326 lines
10 KiB
Mathematica
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function y = minus(X,Y)
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%MINUS (overloaded)
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global FACTORTRACKING
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% Cannot use isa here since blkvar is marked as sdpvar
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X_class = class(X);
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Y_class = class(Y);
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X_is_spdvar = strcmp(X_class,'sdpvar');
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Y_is_spdvar = strcmp(Y_class,'sdpvar');
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% Convert block objects
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if ~X_is_spdvar && ~strcmp(X_class,'double')
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if isa(X,'blkvar')
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X = sdpvar(X);
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X_is_spdvar = isa(X,'sdpvar');
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elseif isa(X,'intval')
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X_is_spdvar = 0;
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Y.basis = intval(Y.basis);
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elseif isa(X,'uint8') || isa(X,'uint16') || isa(X,'uint32') || isa(X,'uint64')
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X = double(X);
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end
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end
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if ~Y_is_spdvar && ~strcmp(Y_class,'double')
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if isa(Y,'blkvar')
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Y = sdpvar(Y);
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Y_is_spdvar = isa(Y,'sdpvar');
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elseif isa(Y,'intval')
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Y_is_spdvar = 0;
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X.basis = intval(X.basis);
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elseif isa(Y,'uint8') || isa(Y,'uint16') || isa(Y,'uint32') || isa(Y,'uint64')
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Y = double(Y);
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end
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end
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if X_is_spdvar
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if X.typeflag == 40
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y = X + uminus(Y);
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return
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end
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else
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if any(isnan(X))
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error('Adding NaN to an SDPVAR makes no sense.');
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end
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end
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if Y_is_spdvar
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if Y.typeflag == 40
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y =X + uminus(Y);
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return
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end
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else
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if any(isnan(Y))
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error('Adding NaN to an SDPVAR makes no sense.');
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end
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end
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switch 2*X_is_spdvar+Y_is_spdvar
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case 1
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if isempty(X)
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try
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y = full(X - reshape(Y.basis(:,1),Y.dim(1),Y.dim(2)));
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catch
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error(lasterr);
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end
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return
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end
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y = Y;
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n_Y = Y.dim(1);
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m_Y = Y.dim(2);
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[n_X,m_X] = size(X);
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x_isscalar = (n_X*m_X==1);
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y_isscalar = (n_Y*m_Y==1);
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any_scalar = x_isscalar | y_isscalar;
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% Speeeeeeed
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if x_isscalar && y_isscalar
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y.basis = -y.basis;
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tmp = y.basis(1)+X;
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if (isequal(class(tmp),'gem') || isequal(class(tmp),'sgem')) && ~isequal(class(y.basis), class(tmp))
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y.basis = gemify(y.basis);
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end
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y.basis(1) = tmp;
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% Reset info about conic terms
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y.conicinfo = [0 0];
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y.extra.opname='';
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if FACTORTRACKING, y = addfactors(y,X,-Y);end
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return
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end
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if any_scalar || all([n_Y m_Y]==[n_X m_X])
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if y_isscalar
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y.basis = repmat(y.basis,n_X*m_X,1);
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y.dim(1) = n_X;
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y.dim(2) = m_X;
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end
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y.basis = -y.basis;
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if nnz(X)~=0
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tmp = y.basis(:,1)+X(:);
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if (isequal(class(tmp),'gem') || isequal(class(tmp),'sgem')) && ~isequal(class(y.basis), class(tmp))
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y.basis = gemify(y.basis);
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end
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y.basis(:,1) = tmp;
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end
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else
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error('Matrix dimensions must agree.');
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end
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% Reset info about conic terms
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y.conicinfo = [0 0];
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y.extra.opname='';
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y.extra.createTime = definecreationtime;
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if FACTORTRACKING, y = addfactors(y,X,-Y);end
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case 2
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if isempty(Y)
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try
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y = full(reshape(X.basis(:,1),X.dim(1),X.dim(2))-Y);
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catch
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error(lasterr);
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end
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return
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end
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y = X;
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n_X = X.dim(1);
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m_X = X.dim(2);
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[n_Y,m_Y] = size(Y);
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x_isscalar = (n_X*m_X==1);
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y_isscalar = (n_Y*m_Y==1);
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any_scalar = x_isscalar | y_isscalar;
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% Silly hack
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% Taking X-scalar(0) takes unnecessary time
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% and is used in most definitions of LMIs
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if (y_isscalar && (Y==0))
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return
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end
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% Speeeeeeed
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if x_isscalar && y_isscalar
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tmp = y.basis(1)-Y;
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if (isequal(class(tmp),'gem') || isequal(class(tmp),'sgem')) && ~isequal(class(y.basis), class(tmp))
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y.basis = gemify(y.basis);
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end
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y.basis(1) = tmp;
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% Reset info about conic terms
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y.conicinfo = [0 0];
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y.extra.opname='';
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if FACTORTRACKING, y = addfactors(y,X,-Y);end
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return
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end
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if any_scalar || all([n_Y m_Y]==[n_X m_X])
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if x_isscalar
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y.basis = repmat(y.basis,n_Y*m_Y,1);
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y.dim(1) = n_Y;
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y.dim(2) = m_Y;
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end
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tmp = y.basis(:,1)-Y(:);
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if (isequal(class(tmp),'gem') || isequal(class(tmp),'sgem')) && ~isequal(class(y.basis), class(tmp))
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y.basis = gemify(y.basis);
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end
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y.basis(:,1) = tmp;
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else
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error('Matrix dimensions must agree.');
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end
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% Update information about conic terms
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% This information is used in DUALIZE to
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% speed up some checks, and to facilitate some
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% advanced dualization features. It also
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% speeds up checking for symmetry in some other code
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% Ugly, but the best way at the moment
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% For a description of this field, check SDPVAR code
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% if (y.conicinfo(1)~=0) && isequal(Y,Y') && (y.conicinfo(2) ~= 2)
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% y.conicinfo(2) = max(1,y.conicinfo(2));
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% else
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y.conicinfo = [0 0];
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y.extra.opname='';
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if FACTORTRACKING, y = addfactors(y,X,-Y);end
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% end
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case 3
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% if (X.typeflag~=0) || (Y.typeflag~=0)
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% error('Relational objects cannot be manipulated')
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% end
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n_X = X.dim(1);
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m_X = X.dim(2);
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n_Y = Y.dim(1);
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m_Y = Y.dim(2);
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x_isscalar = (n_X*m_X==1);
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y_isscalar = (n_Y*m_Y==1);
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any_scalar = x_isscalar | y_isscalar;
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if ~any_scalar
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if (~((n_X==n_Y) && (m_X==m_Y)))
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error('Matrix dimensions must agree.')
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end
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end
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Xlmi_variables = X.lmi_variables;
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Ylmi_variables = Y.lmi_variables;
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yFirst = 0;
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xFirst = 0;
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if Ylmi_variables(end) < Xlmi_variables(1)
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all_lmi_variables = [Ylmi_variables Xlmi_variables];
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yFirst = 1;
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elseif Xlmi_variables(end) < Ylmi_variables(1)
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all_lmi_variables = [Xlmi_variables Ylmi_variables];
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xFirst = 1;
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else
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all_lmi_variables = uniquestripped([Xlmi_variables Ylmi_variables]);
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end
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y = X;
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%X.basis = []; % Returns memory?
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y.lmi_variables = all_lmi_variables;
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if isequal(all_lmi_variables,Xlmi_variables)
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in_X_logical = ones(1,length(Xlmi_variables));
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in_X = 1:length(Xlmi_variables);
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else
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in_X_logical = ismembcYALMIP(all_lmi_variables,Xlmi_variables);
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in_X = find(in_X_logical);
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end
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if isequal(all_lmi_variables,Ylmi_variables)
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in_Y_logical = ones(1,length(Ylmi_variables));
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in_Y = 1:length(Ylmi_variables);
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else
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in_Y_logical = ismembcYALMIP(all_lmi_variables,Ylmi_variables);
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in_Y = find(in_Y_logical);
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end
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if isequal(Xlmi_variables,Ylmi_variables) && n_Y==n_X && m_Y==m_X
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y.basis = y.basis - Y.basis;
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% Super special case f(scalar)-f(scalar)
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if length(X.lmi_variables)==1
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if all(y.basis(:,2)==0)
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y = full(reshape(y.basis(:,1),n_Y,m_Y));
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else
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y.conicinfo = [0 0];
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y.extra.opname='';
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if FACTORTRACKING, y = addfactors(y,X,-Y);end
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end
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return
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end
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elseif max(Xlmi_variables) < min(Ylmi_variables) && n_Y==n_X && m_Y==m_X
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% Disjoint variables in X - Y
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y.basis = [y.basis(:,1) - Y.basis(:,1) y.basis(:,2:end) -Y.basis(:,2:end)];
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elseif max(Ylmi_variables) < min(Xlmi_variables) && n_Y==n_X && m_Y==m_X
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% Disjoint variables in X - Y
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y.basis = [y.basis(:,1) - Y.basis(:,1) -Y.basis(:,2:end) y.basis(:,2:end)];
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else
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% [ix,jx,sx] = find(y.basis);y.basis = [];
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% [iy,jy,sy] = find(Y.basis);%Y.basis = [];
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mapX = [1 1+in_X];
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mapY = [1 1+in_Y];
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% basis_X = sparse(ix,mapX(jx),sx,n_X*m_X,1+length(all_lmi_variables));ix=[];jx=[];sx=[];
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% basis_Y = sparse(iy,mapY(jy),sy,n_Y*m_Y,1+length(all_lmi_variables));iy=[];jy=[];sy=[];
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basis_X = X.basis*(sparse(1:length(mapX),mapX,1,size(X.basis,2),length(all_lmi_variables)+1));
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basis_Y = Y.basis*(sparse(1:length(mapY),mapY,1,size(Y.basis,2),length(all_lmi_variables)+1));
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% Fix addition of matrix+scalar
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if n_X*m_X<n_Y*m_Y
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y.dim(1) = n_Y;
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y.dim(2) = m_Y;
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try
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y.basis = bsxfun(@plus,basis_X,-basis_Y);
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catch
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basis_X = repmat(basis_X,n_Y*m_Y,1);
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y.basis = basis_X - basis_Y;
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end
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elseif n_Y*m_Y<n_X*m_X
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y.dim(1) = n_X;
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y.dim(2) = m_X;
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try
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y.basis = bsxfun(@minus,basis_X,basis_Y);
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catch
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basis_Y = repmat(basis_Y,n_X*m_X,1);
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y.basis = basis_X - basis_Y;
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end
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else
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y.basis = basis_X - basis_Y;
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end
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end
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y.conicinfo = [0 0];
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y.extra.opname='';
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y.extra.createTime = definecreationtime;
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if FACTORTRACKING, y = addfactors(y,X,-Y);end
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if nnz(in_Y_logical & in_X_logical)>0
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y = clean(y);
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end
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otherwise
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end
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% Update info on KYP objects
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if X_is_spdvar && Y_is_spdvar
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if X.typeflag==9 && Y.typeflag==9
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error('Substraction of KYP objects currently not supported')
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end
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end
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if Y_is_spdvar
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if Y.typeflag==9
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y.extra.M = -Y.extra.M+X;
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y.extra.negated = ~Y.extra.negated;
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return
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end
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end
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if X_is_spdvar
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if X.typeflag==9
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y.extra.M = y.extra.M-Y;
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return
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end
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end
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