Tae-Hwa Kim and Hong-Kun Xu [Strong convergence of modified Mann iterations for asymptotically nonexpansive mappings and semigroups, Nonlinear Analysis 64(2006)1140-1152 ] proved the strong convergence theorems of modified Mann iterations for asymptotically nonexpansive mappings and semigroups on bounded subset C of a Hilbert space by the CQ iteration method. The purpose of this paper is to mod...

The concept of iteration is fundamental to systems analysis and design practice and methods. In this chapter we explore the notion of iteration, and distinguish two domains of iteration: iterations associated with cognitive processes that take place during design and iterations over representational artifacts about the design. Cognitive iterations can be concerned with the design; the design pr...

Reinforcement learning has been used to approach well-known NP-hard combinatorial problems in graph theory. Among these, Hamiltonian cycle are exceptionally difficult analyze, even when restricted individual instances of structurally complex graphs. In this paper, we use Monte Carlo Tree Search (MCTS), the search algorithm behind many state-of-the-art reinforcement algorithms such as AlphaZero,...

Inventory of raw materials is a big deal in every production process, both company and home business production. In order to meet consumer demand, must be able determine the amount inventory that should provided. The purpose this research choose an alternative selection ordering produce maximum with minimum costs. material referred study pandan leaves used make mats. Analysis was Markov decisio...

The paper presents some approximation methods for the Boltz-mann equation. In the rst part fully implicit discretization techniques for the spatially homogeneous Boltzmann equation are investigated. The implicit equation is solved using an iteration process. It is shown that the iteration converges to the correct solution for the moments of the distribution function as long as the mass conserva...