-
convex conjugate of a
function is
always lower semi-continuous. The
biconjugate f ∗ ∗ {\displaystyle f^{**}} (the
convex conjugate of the
convex conjugate)...
- In mathematics, more
specifically in
numerical linear algebra, the
biconjugate gradient method is an
algorithm to
solve systems of
linear equations Ax=b...
- In
numerical linear algebra, the
biconjugate gradient stabilized method,
often abbreviated as BiCGSTAB, is an
iterative method developed by H. A. van...
-
conjugate gradient method Nonlinear conjugate gradient method Biconjugate gradient method Biconjugate gradient stabilized method Elijah **** (1997). Optimization :...
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necessary and
sufficient conditions for a
function to be
equal to its
biconjugate. This is in
contrast to the
general property that for any
function f∗∗≤f{\displaystyle...
- . {\displaystyle \left\langle x^{*},z\right\rangle :=x^{*}(z).} The
biconjugate of f {\displaystyle f} is the map f ∗ ∗ = ( f ∗ ) ∗ : X → [ − ∞ , ∞ ]...
- is impractical. The CGS
method was
developed as an
improvement to the
biconjugate gradient method. A
system of
linear equations Ax=b{\displaystyle A{\mathbf...
-
methods such as the
generalized minimal residual method (GMRES) and the
biconjugate gradient method (BiCG) have been derived.
Since these methods form a...
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Conjugate Gradient (CG)
Conjugate Gradient Squared (CGS)
BiConjugate Gradient (BiCG)
BiConjugate Gradient Stabilized (BiCGSTAB)
Generalized Minimum Residual...
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dimension reduction),
GMRES (generalized
minimum residual),
BiCGSTAB (
biconjugate gradient stabilized), QMR (quasi
minimal residual),
TFQMR (transpose-free...