Algoritmo del simplesso. Da Wikipedia, l'enciclopedia libera. L'algoritmo del simplesso, ideato dall'americano George Dantzig nel 1947, è un metodo numerico per risolvere problemi di programmazione lineare. È citato dalla rivista americana Computing in Science and Engineering come uno dei dieci migliori algoritmi del secolo.[1] Questo algoritmo fa uso del concetto di simplesso, cioè un politopo di N+1 vertici in N dimensioni: un segmento di retta in una dimensione, un triangolo in due dimensioni, un tetraedro in tre dimensioni. La programmazione lineare[modifica | modifica sorgente] Un problema di programmazione lineare consiste nel massimizzare o minimizzare una funzione lineare definita sull'insieme delle soluzioni di un sistema di disequazioni lineari, dette vincoli. Per esempio il problema: è un problema di programmazione lineare. I vincoli definiscono la regione ammissibile (cioè l'insieme dei punti che soddisfano tutti i vincoli del problema, in inglese "feasible region").
Massimizzare s.t. e . . Come: con. Finite state machine. The behavior of state machines can be observed in many devices in modern society which perform a predetermined sequence of actions depending on a sequence of events with which they are presented. Simple examples are vending machines which dispense products when the proper combination of coins is deposited, elevators which drop riders off at upper floors before going down, traffic lights which change sequence when cars are waiting, and combination locks which require the input of combination numbers in the proper order.
Finite-state machines can model a large number of problems, among which are electronic design automation, communication protocol design, language parsing and other engineering applications. In biology and artificial intelligence research, state machines or hierarchies of state machines have been used to describe neurological systems and in linguistics—to describe the grammars of natural languages.
FSMs are studied in the more general field of automata theory. A turnstile. Home page of Les Hatton. [ NPL Home ] - World leading measurement science laboratory, recognised for excellence in physics. Science News, Articles and Information | Scientific American. Surface reconstruction from a mesh. Overview The target of this technique is to reconstruct Bezier rectangular surface patches from a triangular mesh.
Most of the mechanical CAD systems use rectangular patches to represent a surface shape. It is difficult to integrate a triangular-mesh based modeling technique into the conventional CAD system because of the different representation of the surfaces. The reconstruction technique described here will make it easy. Research items The input and the output of the technique are shown in Figure 1. Outline of the algorithm is shown in Figure 2. The characteristics of the algorithm is summarized in Table 1. Application to surface design by mechanical CAD system Figure 3 shows surfaces generated by the plug-in module of this technique into the CAD system CATIA developed by Dassault Systemes. Publications. Datamodel.com: Data Model Portal :: Index.