An iterative scheme in computer science refers to a method that produces approximate results through a repetitive process of updating an initial vector based on a defined iterative matrix and vector. It requires
Vaughan R C.A new iterative method in Waring's problem, II.J London Math Soc.1989.219-230R C Vaughan.A new iterative method in Waring’s problem II. Journal of the London Mathematical Society . 1989R. C. Vaughan, A new iterative method in Waring's problem II, J. London Math. Soc....
Iterative and Incremental development is a combination of both iterative design or iterative method and incremental build model for development. "During software development, more than one iteration of the software development cycle may be in progress at the same time." This process may be described...
In what follows, we will often use the abbreviations, u(x)=f(x)f′(x),Cν(x)=f(ν)(x)ν!f′(x),cν=Cν(α)(ν=2,3,…). The best known iterative method for solving nonlinear equations is the Newton method xˆ=x-f(x)f′(x)=x-u(x) (see the iterative formula (1.3...
WhenAmultiplies a vector, most of the elements in the resulting vector are zeros. The nonzero elements in the result correspond with the nonzero tridiagonal elements ofA. So, for a given vectorx, the linear operator function simply needs to add together three vectors to calculate the value of...
S. Improvements in the synthesis of phenylacetylene monodendrons including a solid-phase convergent method. Macromolecules 28, 5955–5963 (1995). Article CAS Google Scholar Xu, Z., Kahr, M., Walker, K. L., Wilkins, C. L. & Moore, J. S. Phenylacetylene dendrimers by the divergent, ...
The cyclical fast iterative method (cycFIM) is used to calculate ATs (steps An ). These ATs are utilized to compute Idiff needed in the RD model (steps Bn ). The approximated RD model determines Vm by solving the ODE system of the ionic model and incorporating Idiff (steps...
However, while improving enzyme activity can greatly contribute to production yields, it may not guarantee a continuous increase in those yields. In this study, to maximize the yield, an enzyme design method45 was applied to enrich more beneficial mutations in the construction of the mutation ...
Typical methods for solving reinforcement learning problems iterate two steps, policy evaluation and policy improvement. This paper proposes algorithms for the policy evaluation to improve learning efficiency. The proposed algorithms are based on the Krylov Subspace Method (KSM), which is a nonstationary...
Set C0 = C and iterate until convergence. Note that this technique is identical to the standard iterative closest point (ICP) algorithm of Besl and McKay (1992), except that it is done in the embedded functional space, rather than the standard Euclidean space. Note also that this method can...