The paper presents computational methods for determining the equilibrium distribution of customers in closed queueing networks with exponential servers. It derives expressions for various marginal distributions and introduces two-dimensional iterative algorithms that are efficient and easy to implement. The algorithms are designed to handle the computational aspects of basic equilibrium distributions and certain marginal distributions. The paper also discusses the implementation considerations such as storage allocation strategies and the order of evaluation. Additionally, it explores networks with load-dependent servers, providing a more complex but general framework for analyzing such systems. The methods are illustrated through an example of a central server model used to study multiprogrammed computer systems, demonstrating their practical applications in analyzing system behavior and performance.The paper presents computational methods for determining the equilibrium distribution of customers in closed queueing networks with exponential servers. It derives expressions for various marginal distributions and introduces two-dimensional iterative algorithms that are efficient and easy to implement. The algorithms are designed to handle the computational aspects of basic equilibrium distributions and certain marginal distributions. The paper also discusses the implementation considerations such as storage allocation strategies and the order of evaluation. Additionally, it explores networks with load-dependent servers, providing a more complex but general framework for analyzing such systems. The methods are illustrated through an example of a central server model used to study multiprogrammed computer systems, demonstrating their practical applications in analyzing system behavior and performance.