Abstract: Traffic flow between each pair of nodes in a network may be modeled based on loads measured at each link and based on gravity measures associated with each node. Gravity measures correspond to a relative likelihood of the node being a source or a sink of traffic. Gravity objectives are assigned to nodes to serve as an objective for a node's performance. These gravity objectives may be based on qualitative characteristics associated with each node. Because the assigned gravity objectives may be subjective, the gravity measures are used to generate a quantitative function for determining whether a network can achieve these gravity objectives. In one embodiment, link loads are allocated to traffic flows between nodes and current gravity measures are determined. Changes to link loads and traffic flows may then be modeled to minimize a difference between the assigned gravity measures and the gravity measures.

Abstract: Traffic flow between each pair of nodes in a network may be modeled based on loads measured at each link and based on gravity measures associated with each node. Gravity measures correspond to a relative likelihood of the node being a source or a sink of traffic. Gravity objectives are assigned to nodes to serve as an objective for a node's performance. These gravity objectives may be based on qualitative characteristics associated with each node. Because the assigned gravity objectives may be subjective, the gravity measures are used to generate a quantitative function for determining whether a network can achieve these gravity objectives. In one embodiment, link loads are allocated to traffic flows between nodes and current gravity measures are determined. Changes to link loads and traffic flows may then be modeled to minimize a difference between the assigned gravity measures and the gravity measures.

Abstract: Traffic flow between each pair of nodes in a network are determined based on loads measured at each link and based on gravity measures. The gravity measures correspond to a likelihood of the node being a source or a sink of traffic and may be assigned based on characteristics associated with each node, such as the demographics of the region in which the node is located, prior sinking and sourcing statistics, and so on. The gravity measures are used to generate an objective function for solving a system of linear equations, rather than as criteria that must be satisfied in the solution. The measured link loads are allocated among the traffic flows between nodes to at least a given allocation efficiency criteria by solving a system of linear equations with an objective of minimizing a difference between the assigned gravities and the resultant gravities corresponding to the determined flows.

Abstract: Traffic flow between each pair of nodes in a network are determined based on loads measured at each link and based on gravity measures. The gravity measures correspond to a likelihood of the node being a source or a sink of traffic and may be assigned based on characteristics associated with each node, such as the demographics of the region in which the node is located, prior sinking and sourcing statistics, and so on. The gravity measures are used to generate an objective function for solving a system of linear equations, rather than as criteria that must be satisfied in the solution. The measured link loads are allocated among the traffic flows between nodes to at least a given allocation efficiency criteria by solving a system of linear equations with an objective of minimizing a difference between the assigned gravities and the resultant gravities corresponding to the determined flows.

Abstract: Traffic flow between each pair of nodes in a network are determined based on loads measured at each link and based on gravity measures associated with each node. The gravity measures correspond to a relative likelihood of the node being a source or a sink of traffic, and may be assigned based on ‘soft’ characteristics associated with each node, such as the demographics of the region in which the node is located, prior sinking and sourcing statistics, and so on. Because the assigned gravities are relatively subjective, the gravity measures are used to generate an objective function for solving a system of linear equations, rather than as criteria that must be satisfied in the solution. The measured link loads are allocated among the traffic flows between nodes to at least a given allocation efficiency criteria by solving a system of linear equations with an objective of minimizing a difference between the assigned gravities and the resultant gravities corresponding to the determined flows.

Abstract: In one embodiment a direct mailer is made essentially of a single piece of paper or other material having on a first side an addressee and a postage indicator and having on a second opposite side at least six advertisers' advertisements and an indication of discounts (e.g., coupons) associated with at least three of those advertisements. The paper or other material, which is preferably folded as a bi-fold, tri-fold, quad-fold, or more, can have a final folded size which permits the mailer to qualify for bulk mail rates. In another embodiment, the direct mailer is made essentially of a single piece of folded paper or other material having on the addressee and postage indicators on the same side as the at least six advertisers' advertisements and indications of discounts associated with at least three of those advertisements.

Abstract: Traffic flow between each pair of nodes in a network are determined based on loads measured at each link and based on gravity measures associated with each node. The gravity measures correspond to a relative likelihood of the node being a source or a sink of traffic, and may be assigned based on ‘soft’ characteristics associated with each node, such as the demographics of the region in which the node is located, prior sinking and sourcing statistics, and so on. Because the assigned gravities are relatively subjective, the gravity measures are used to generate an objective function for solving a system of linear equations, rather than as criteria that must be satisfied in the solution. The measured link loads are allocated among the traffic flows between nodes to at least a given allocation efficiency criteria by solving a system of linear equations with an objective of minimizing a difference between the assigned gravities and the resultant gravities corresponding to the determined flows.

Abstract: A first embodiment of a micromesh laminate includes a micromesh fabric first layer, a form-providing second layer laminated to the micromesh fabric, and preferably a woven or knit fabric third layer laminated or stitched to the second layer. The micromesh fabric is typically a knit fabric made of polyester or nylon and has small holes, on the order of approximately 0.5 mm by 0.5 mm to 3 mm by 3 mm, knit into the fabric. Preferably, the second layer is either a high or low density polyurethane foam, neoprene foam, or film, and the third layer is made from cotton, nylon, polyester, acrylic, or spandex. The layers are preferably bonded together with an adhesive which can withstand high washability, e.g., a crosslinked urethane adhesive; alternatively, the second layer and third layer may be flame laminated or stitched together. A second embodiment of a micromesh laminate includes a micromesh first layer, and a woven or knit fabric second layer laminated to the first layer.