College of Management‚ NCTU Operation Research I Fall‚ 2008 Chap8 The Transportation and Assignment Problems Example: Three canneries and four warehouse Shipping Cost per Truckload Output Warehouse 1 2 3 4 464 513 654 867 75 1 Cannery 352 416 690 791 125 2 995 682 388 685 100 3 80 65 70 85 Allocation xij = the number of truckloads to be shipped from cannery i to warehouse j. The Transportation Problem Distribute goods from sources to destinations with
Premium Optimization Operations research Assignment problem
e¨vsK kvLvq Dc¯’vcb Ki‡j †PKwU Ach©vß Znwe‡ji Kvi‡Y wZb eviB cÖZ¨vL¨vZ nq| weMZ 08/08/10 wLª: ZvwiL Awf‡hvMKvix Avmvgx‡K †P‡K D‡jwLZ UvKv ‡bvwUk cÖvwßi 30 w`‡b g‡a¨ cwi‡kv‡ai Aby‡iva Rvwb‡q cÖvwß ¯^xKvi mn †iwR: WvK‡hv‡M wjM¨vj †bvwUk †cÖiY K‡ib| Avmvgx MZ 14/08/10 wLª: ZvwiL wjM¨vj †bvwUk cÖvß nb‚ wKš‘ wZwb †bvwUk cÖvwßi wba©vwiZ 30 w`‡bi g‡a¨ †P‡K D‡jwLZ UvKv cwi‡kv‡a e¨_© n‡q‡Q| AZ:ci 19/09/10 wLª: ZvwiL Awf‡hvMKvix G gvgjvwU `v‡qi K‡ib| weMZ 05/05/11 wLª: ZvwiL Avmvgxi wei“‡× The Negotiable
Premium
KULIYYAH OF ECONOMICS & MANAGEMENT SCIENCES DEPARTMENT OF ECONOMICS GROUP PROJECT EXPORTING AUTOMOBILE INDUSTRY: PROTON Prepared by | : | TENGKU ROWENA BT TENGKU RAZALI (0822218)SITI LIYANA BT ROZMI (0721620)NIK MALIHAH BT JUSOH (0723714)NAZIHA BT AZAM (0729704)ANNUR IZZAH BT ABDUL RAZAK (0911518) | Section Number | : | 1 | Course CodeCourse Title | :: | MKTG 4810International Marketing | Lecturer’s NameSemester‚ YearSubmission Date | ::: | Assoc. Prof. Dr. Ahasanul Haque1‚ 2011/20129th
Premium Automotive industry Volkswagen Group General Motors
and test reports‚ to pick the person with top individual talent and overlook the teamwork performance. For the training‚ Coach tried several methods to improve the team performance‚ but the result is that the V team was keep losing to the VJ team‚ Moreover‚ the VJ team was not only beat the V team‚ also beat the its team members psychologically. For the coming races‚ Coach P hesitated about which team should be appointed to the match‚ even there was only four days left‚ he still trying to recombine
Premium Leadership
Informatica 31 (2007) 1–13 1 A Novel Roll-Back Mechanism for Performance Enhancement of Asynchronous Checkpointing and Recovery Keywords: asynchronous checkpointing‚ recovery‚ maximum consistent state In this paper‚ we present a high performance recovery algorithm for distributed systems in which checkpoints are taken asynchronously. It offers fast determination of the recent consistent global checkpoint (maximum consistent state) of a distributed system after the system recovers from
Premium Time Computer program Googol
in equilibrium: Vj = (Sj + Dj ) = Xj /ρk‚ for any firm j in class k. That is‚ the market value of any firm is independent of its capital structure and is given by capitalizing its expected return at the rateρk appropriate to its class. This proposition can be stated in an equivalent way in terms of the firm’s "average cost of capital‚" Xj / Vj‚ which is the ratio of its expected return to the market value of all its securities. Our proposition then is: Xj / (Sj + Di) = Xj / Vj =ρk‚ for any firm
Premium Finance Economics Tax
Transportation Problems Transportation is considered as a “special case” of LP Reasons? it can be formulated using LP technique so is its solution Here‚ we attempt to firstly define what are them and then studying their solution methods: Transportation Problem We have seen a sample of transportation problem on slide 29 in lecture 2 Here‚ we study its alternative solution method Consider the following transportation tableau Review of Transportation Problem A Transportation
Premium
Note that P (uj ≤ Xj ≤ vj ) = e−λuj − e−λvj ‚ and fXj (x|uj ≤ Xj ≤ vj ) = λe−λx /{e−λuj − e−λvj }. Hence‚ Xj (λ) ≡ Eλ (Xj |Xj ∈ [uj ‚ vj ]) = 1 uj exp(−λuj ) − vj exp(−λvj ) + . λ exp(−λuj ) − exp(−λvj ) The log-likelihood function based on the full sample is n ∑ l(θ) ≡ l(θ; X1 ‚ · · · ‚ Xn ) = n log λ − λ Xj ‚ j=1 which yields the MLE based on full sample θ(X1 ‚ · · · ‚ Xn ) = n/ ∑ 1≤j≤n Xj . Now the E-step is Q(λ) = Eλ0 {l(θ) | Xj ∈ [uj ‚ vj ] for m < j ≤ n} = n
Free Probability theory Normal distribution
the world. When you connect one of the computers in your company (VJ Edibles) to the internet‚ you don’t connect it directly to the internet backbone. You connect it to an ISP (Internet Service Provider) that charge your company monthly fee for the internet access like Virgin‚ Sky and Talk Talk and give you software and user account. To be able to communicate with the ISP you need computers with modem to connect the computers at VJ Edibles to a phone line. When you connect to the internet that makes
Premium Internet IP address Internet Protocol
Bayesian Probabilistic Matrix Factorization using Markov Chain Monte Carlo Ruslan Salakhutdinov rsalakhu@cs.toronto.edu Andriy Mnih amnih@cs.toronto.edu Department of Computer Science‚ University of Toronto‚ Toronto‚ Ontario M5S 3G4‚ Canada Abstract Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP estimate of the model parameters‚ a procedure that can be
Premium Conditional probability Monte Carlo method