companydirectorylist.com  Global Business Directories and Company Directories
Search Business,Company,Industry :


Country Lists
USA Company Directories
Canada Business Lists
Australia Business Directories
France Company Lists
Italy Company Lists
Spain Company Directories
Switzerland Business Lists
Austria Company Directories
Belgium Business Directories
Hong Kong Company Lists
China Business Lists
Taiwan Company Lists
United Arab Emirates Company Directories


Industry Catalogs
USA Industry Directories












Company Directories & Business Directories

LYLES DATA SYSTEMS INC

FLORENCE-USA

Company Name:
Corporate Name:
LYLES DATA SYSTEMS INC
Company Title:  
Company Description:  
Keywords to Search:  
Company Address: 823 S Saint Claire Dr,FLORENCE,SC,USA 
ZIP Code:
Postal Code:
29501-5943 
Telephone Number: 8436649280 (+1-843-664-9280) 
Fax Number: 8436621332 (+1-843-662-1332) 
Website:
www. lylesdata. com 
Email:
 
USA SIC Code(Standard Industrial Classification Code):
573401 
USA SIC Description:
Computer Software 
Number of Employees:
 
Sales Amount:
 
Credit History:
Credit Report:
 
Contact Person:
 
Remove my name



copy and paste this google map to your website or blog!

Press copy button and paste into your blog or website.
(Please switch to 'HTML' mode when posting into your blog. Examples:
WordPress Example, Blogger Example)









Input Form:Deal with this potential dealer,buyer,seller,supplier,manufacturer,exporter,importer

(Any information to deal,buy, sell, quote for products or service)

Your Subject:
Your Comment or Review:
Security Code:



Previous company profile:
BROWNS DETECTIVE AGENCY
GUESTHOUSE INTERNATIONAL INN
ENGLEWOOD ELECTRICAL SUPPLY
Next company profile:
AD VENTURES
STATE FARM INSURANCE COMPANIES - DES MOINES OFFICE
FLORENCE FIRE DEPT










Company News:
  • Dynamic programming language - Wikipedia
    A dynamic programming language is a type of programming language that allows various operations to be determined and executed at runtime This is different from the compilation phase Key decisions about variables, method calls, or data types are made when the program is running, unlike in static languages, where the structure and types are fixed during compilation Dynamic languages provide
  • Viterbi algorithm - Wikipedia
    The Viterbi algorithm is a dynamic programming algorithm that finds the most likely sequence of hidden events that would explain a sequence of observed events The result of the algorithm is often called the Viterbi path It is most commonly used with hidden Markov models (HMMs) For example, if a doctor observes a patient's symptoms over several days (the observed events), the Viterbi
  • Bellman equation - Wikipedia
    Bellman flow chart A Bellman equation, named after Richard E Bellman, is a technique in dynamic programming which breaks an optimization problem into a sequence of simpler subproblems, as Bellman's "principle of optimality" prescribes [1] It is a necessary condition for optimality [2] The "value" of a decision problem at a certain point in time is written in terms of the payoff from some
  • Floyd–Warshall algorithm - Wikipedia
    The Floyd–Warshall algorithm is an example of dynamic programming, and was published in its currently recognized form by Robert Floyd in 1962 [3] However, it is essentially the same as algorithms previously published by Bernard Roy in 1959 [4] and also by Stephen Warshall in 1962 [5] for finding the transitive closure of a graph, [6] and is closely related to Kleene's algorithm (published
  • Just-in-time compilation - Wikipedia
    In computing, just-in-time (JIT) compilation (also dynamic translation or run-time compilations) [1] is compilation (of computer code) during execution of a program (at run time) rather than before execution [2] This may consist of source code translation but is more commonly bytecode translation to machine code, which is then executed directly A system implementing a JIT compiler typically
  • Stochastic dynamic programming - Wikipedia
    Originally introduced by Richard E Bellman in (Bellman 1957), stochastic dynamic programming is a technique for modelling and solving problems of decision making under uncertainty Closely related to stochastic programming and dynamic programming, stochastic dynamic programming represents the problem under scrutiny in the form of a Bellman equation [1] The aim is to compute a policy
  • Backward induction - Wikipedia
    In dynamic programming, a method of mathematical optimization, backward induction is used for solving the Bellman equation [3][4] In the related fields of automated planning and scheduling and automated theorem proving, the method is called backward search or backward chaining
  • Machine learning - Wikipedia
    Many reinforcement learning algorithms use dynamic programming techniques [54] Reinforcement learning algorithms do not assume knowledge of an exact mathematical model of the MDP and are used when exact models are infeasible Reinforcement learning algorithms are used in autonomous vehicles or in learning to play a game against a human opponent




Business Directories,Company Directories
Business Directories,Company Directories copyright ©2005-2012 
disclaimer