Skip to main content

Black Berry Meet up at 1st Feb in BIT Noida

Event Details BlackBerry Developer Group India has grown to have around 1500 members on its Facebook group in a short span of 2 years. The group is now organizing a meetup for its members to share ideas and opportunities relating to the BlackBerry 10 platform in particular and app development in general. https://www.eventbrite.com/e/blackberry-developer-group-india-meetup-tickets-10268989825 Agenda 11:45 am : Introductions 12:00 noon : Talk by Mr. Ebrahim Popat, Manager - Developer Alliances, vServ.mobi Advertising Network on "Monetising your apps - Best Practices" 12:30 pm : Mr. Saurabh Jain, Founder of BB Developer Group India and OpenClass will give an "Introduction to BB Developer Group India and OpenClass" 12:45 pm : Talk by Mr. Nit Navodit, Appbulous on "Cocos2D for BB 10" 1:30 pm : Informal mixer between the attendees 2:00 pm : Formal close of the session

Comments

Popular posts from this blog

Advantages and Disadvantages of EIS Advantages of EIS Easy for upper-level executives to use, extensive computer experience is not required in operations Provides timely delivery of company summary information Information that is provided is better understood Filters data for management Improves to tracking information Offers efficiency to decision makers Disadvantages of EIS System dependent Limited functionality, by design Information overload for some managers Benefits hard to quantify High implementation costs System may become slow, large, and hard to manage Need good internal processes for data management May lead to less reliable and less secure data

Inter-Organizational Value Chain

The value chain of   a company is part of over all value chain. The over all competitive advantage of an organization is not just dependent on the quality and efficiency of the company and quality of products but also upon the that of its suppliers and wholesalers and retailers it may use. The analysis of overall supply chain is called the value system. Different parts of the value chain 1.  Supplier     2.  Firm       3.   Channel 4 .   Buyer

Big-M Method and Two-Phase Method

Big-M Method The Big-M method of handling instances with artificial  variables is the “commonsense approach”. Essentially, the notion is to make the artificial variables, through their coefficients in the objective function, so costly or unprofitable that any feasible solution to the real problem would be preferred, unless the original instance possessed no feasible solutions at all. But this means that we need to assign, in the objective function, coefficients to the artificial variables that are either very small (maximization problem) or very large (minimization problem); whatever this value,let us call it Big M . In fact, this notion is an old trick in optimization in general; we  simply associate a penalty value with variables that we do not want to be part of an ultimate solution(unless such an outcome is unavoidable). Indeed, the penalty is so costly that unless any of the  respective variables' inclusion is warranted algorithmically, such variables will never be p