About this product: This digital document is an article from National Underwriter Property & Casualty-Risk & Benefits Management, published by The National Underwriter Company on May 4, 1992. The length of the article is 536 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.
Citation Details Title: Arizona law backfires. (proof of auto insurance for car registration) (California & the Western States Supplement) (Editorial) Publication:National Underwriter Property & Casualty-Risk & Benefits Management (Magazine/Journal) Date: May 4, 1992 Publisher: The National Underwriter Company Issue: n18 Page: pC8(1)
About this product: This digital document is an article from The Register-Guard (Eugene, OR), published by The Register Guard on July 6, 2002. The length of the article is 573 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.
Citation Details Title: DMV gets stricter on proof of identity.(Transportation)(Driver's license: To battle identity theft and fraudulent car registrations, tougher documentation rules are taking effect.) Publication:The Register-Guard (Eugene, OR) (Newspaper) Date: July 6, 2002 Publisher: The Register Guard Page: B1
About this product: This digital document is an article from The Register-Guard (Eugene, OR), published by The Register Guard on July 13, 2009. The length of the article is 668 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.
Citation Details Title: County floats idea of car fees.(Government Local)(A registration charge, which would be in addition to state costs, comes up as a way to fund road work) Author: Unavailable Publication:The Register-Guard (Eugene, OR) (Newspaper) Date: July 13, 2009 Publisher: The Register Guard Page: B9
About this product: This digital document is a journal article from European Journal of Operational Research, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description: In this study we consider the elevator operation problem of single-car elevator systems with destination hall call registration. In this part we construct a branch-and-bound algorithm to solve the dynamic operation optimization problem formulated in the first part. To calculate lower bounds of the subproblems generated in the course of the branch-and-bound algorithm, we first relax some of the constraints of the subproblems and decompose the relaxed subproblems into three parts. Then, we apply the Lagrangian relaxation method to the decomposed subproblems.
About this product: This digital document is a journal article from European Journal of Operational Research, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description: The purpose of this two-part study is to investigate the operation problem of single-car elevator systems with destination hall call registration. Destination hall call registration is such a system in which passengers register their destination floors at elevator halls before boarding the car, while in the ordinary systems passengers specify only the directions of their destination floors at elevator halls and register destination floors after boarding the car. In this part of the study, we formulate the operation problem as a dynamic optimization problem and demonstrate by computer simulations that dynamically optimized operation considerably improves the transportation capability compared to conventional selective collective operation. How to solve the dynamic optimization problem is given in the second part of this study.
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