domingo, 26 de febrero de 2012

George Beernard Dantzig. Simplex method.


George Bernard Dantzig was born in 8 November 1914 in Portland, Oregon, USA. His father was Mathematics' professor, who left leaving his job as Boss of Matemáticas's Apartment in the University of Maryland just after Second World War. His mother was a linguist specialized in Slavic idioms.
Dantzig studied his course at the University of Maryland, where he tooks a degree in 1936. Next year, he took a studies of postgrade at the Mathematics School of the University of Michigan. However, it seemed him that courses was too abstract; So abstract, that he only desired a thing: abandoning his postgrado's studies and getting a job.
In 1937, Dantzig left Michigan to work as employee in Statistics at Bureau of Labor Satistics. Two years later, he enrolled in Berkeley, to study a Statistics' Doctorate.
During his first year in Berkeley, he enrolled at Statistics' course that was giving the famous professor, Jerzy Neymann. This professor used to writing on the blackboard a couple of exercises when his classrooms began in order to, like task for the home, be resolved for his pupils and delivered at the following classroom. In an occasion, Dantzig reached later to Neymann's classrooms, and noticed that on the blackboard was written two problems. He supposed that problems were homeworks and, logically, he copied and resolved them, even though they seemed him "a little harder than the ordinary problems". A few days later he delivered them to Neymann, apologizing to have delayed so much. Approximately six weeks after, a Sunday's morning at 8:00, Neymann came beating Dantzig's door explaining him that he wrotten an introduction to one of Dantzig's goods and he was wanting and that he read it in order to be able to send the article for his publication. The two problems of task that Dantzig had resolved were, in reality, two famous problems non resolved of Statistics. The solutions of these problems became his doctoral thesis, to Neymann's suggestion.
Nevertheless, Dantzig finished off his doctorate to 1946. Just after the beginning of Second World War he joined to United States Air Force and worked with ombat Analysis Branch of Statistical Control. After receiving his Doctorate, he returned to Air Force like Mathematicas' adviser of the U. A. Air Force Controller. Was in that work where he found the problems wich took him to do his big discoveries. Air Force needed a faster way to calculate the duration time of the stages of a program of display, workout and logistic supply.
The professor Dantzig basically centered his scientific developments, chronologically, in the RAND Corporation and Berkeley's and Stanford's universities in California, with temporary assignments in another centers like the IIASA in Vienna. (The anecdote that he tells like the principal reason to move from Berkeley to Stanford, the guilty is a parking for professors just in front of his new Department door, with such bad luck that this parking had disappeared when he became incorporated to Stanford).
Dantzig's work generalized the made for the economist, winner of the Nobel Prize, Wassily Leontief. Early, Dantzig noticed that the problems of planning wich he against with them were too much complexes for 1947 fastest computers (and even for the ones belonging to the present time).
            Once established the general problem of Linear Programming was necessary to find solutions in a reasonable time.Here Dantzig's geometric intuition yielded results : "I began noticing that the feasible region is a convex body, that is, a polyhedral set.Therefore, the process would be able to be improved if the movements were maded along the borders from one extreme point toward the following. However, this procedure seemed to be too inefficient. In three dimensions, the region could be visualized like a diamond with faces, edges and vertex. In the cases of many borders, the process would take an a journey along them before the diamond's point optimal corner would be reached".
            This intuition carried the first formulation of the Simplex Method in the summer of 1947. The first practical problem that got worked out with this method was one of nutrition.
            The October 3 l947 Dantzig visited the Institute for Advanced Study where meet for first time to John Von Neumann, who ,at that time, was considerate for a lot of people like the best Mathematician of the world. Von Neumann chatted with Dantzig about the work that he was realizing with Oscar Morgenstern about game theory.That moment went when Dantzig knew about the important theorem of duality for the first time.
            Another one of his grand achievements is the theory of duality, dreamt up together with Fulkerson and Johnson in 1954 to resolve the Traveling Salesman's paradigmatic problem (resolving then problems with 49 cities when, nowadays problems get worked out, by means of modern implementations of the method, with several thousands of cities and even one million nodes) is the predecessor of useful todays Branch-and-Cut methods so utilized in entire programming to resolve problems of grand dimensions.
            A precision about terminology: One simplex is an especial polyhedral convex united type. More concretely, be P1, P2,. . . , Pn +1 n +1 points ( or vectors ) in R. It is said that vectors have related independence if them n vectors P1 P2, P1 P3,. . . , P1 Pn, P1 are P independent lineally. If points have related independence, then the convex smaller set that he contains the n+1 points in is named n-simplex. In R, three points have related independence if not they are colinear. The convex smaller set that no contains three points colinear a triangle with these points as like vertex. Therefore, a 2-simplex is a triangle. In R, four points have related independence if they are no "co-plane". The convex smaller set that contains four of such points is a tetrahedron. This is the 3-simplex. Triangles and tetrahedrons are united polyhedral convex, regardless of that convex polyhedral sets are not necessarily simplex. The Simplex Method was called thus by George Dantzig, although it is not clear why he elected that name. It should be more suitable call it "Set Polyhedral Convex Method".
            Finally, but no the last thing, he is important to depict the programming mathematical application than the professor Dantzig went developing to long of years for various industrial sectors and of Administration, highlighting for example the project PILOT, for a better planning of the energetic sector and, therefore, a bigger energetic saving.
            May 13, 2004, George Bernard Dantzig, he died to the age of 90 years at his house of Stanford due to complications with diabetes and problems cardiovasculars.
Bibliography:
"George Bernard Dantzig Biography." George Bernard Dantzig's Biography. Web. 19 Feb. 2012. <http://www.phpsimplex.com/en/Dantzig_biography.htm>.