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Monocryl is a synthetic, absorbable suture manufactured in Cornelia, Georgia, USA, and trademarked by Ethicon. It is composed of poliglecaprone 25, which is a copolymer of glycolide and epsilon-caprolactone. [1] It comes both dyed (violet) and undyed (clear) and is an absorbable monofilament suture.
A synthetic adsorbable suture material. Monofilament synthetic absorbable suture, prepared from the polyester, poly (p-dioxanone). Composition: Natural purified collagen: Natural purified collagen: Polyglycolic acid: Polyester and poly (p-dioxanone) Adsorption rate and tensile strength: Strength retention for at least 7 days.
It is generally used in solving non-linear equations like Euler's equations in computational fluid dynamics. Matrix-free conjugate gradient method has been applied in the non-linear elasto-plastic finite element solver. [7] Solving these equations requires the calculation of the Jacobian which is costly in terms of CPU time and storage. To ...
The Lyapunov equation is linear; therefore, if contains entries, the equation can be solved in () time using standard matrix factorization methods.. However, specialized algorithms are available which can yield solutions much quicker owing to the specific structure of the Lyapunov equation.
[2] [3] The MINRES method requires that the matrix is symmetric, but has the advantage that it only requires handling of three vectors. GMRES is a special case of the DIIS method developed by Peter Pulay in 1980. DIIS is applicable to non-linear systems.
The degradation process is erosive and appears to take place in two steps during which the polymer is converted back to its monomer glycolic acid: first water diffuses into the amorphous (non-crystalline) regions of the polymer matrix, cleaving the ester bonds; the second step starts after the amorphous regions have been eroded, leaving the ...
In mathematics, matrix calculus is a specialized notation for doing multivariable calculus, especially over spaces of matrices.It collects the various partial derivatives of a single function with respect to many variables, and/or of a multivariate function with respect to a single variable, into vectors and matrices that can be treated as single entities.
Whereas linear conjugate gradient seeks a solution to the linear equation =, the nonlinear conjugate gradient method is generally used to find the local minimum of a nonlinear function using its gradient alone. It works when the function is approximately quadratic near the minimum, which is the case when the function is twice differentiable at ...