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LEDA 6.6 C＋＋程式開發軟體

LEDA 6.6 C＋＋是一套群昱公司代理的程式開發軟體，LEDA為用戶提供了對各個領域的應用詳細的知識演算法：圖像領域和網路問題領域，幾何學計算領域，組合優化領域等等。 值得一提的是，LED提供了四個不同的程式開發包供用戶使用： 基本包，幾何學包，圖形包和圖形用戶介面（GUI）包。

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Overview

  • LEDA is our C++ class library for
    efficient data types and algorithms. LEDA provides algorithmic in-depth
    knowledge in the field of graph- and network problems, geometric
    computations, combinatorial opimization and other. LEDA  is implemented
    following the object-oriented approach.
  • LEDA is used in application areas such as
    telecommunication, GIS, VLSI design, scheduling, traffic planning,
    computational biology and computer -aided design.
  • LEDA offers all of the relevant algorithm
    building blocks in an easy-to-use and efficient form dealing with
    objects such as graphs, sequences, dictionaries, trees, points, flows,
    matchings, segments, shortest paths, and many more. Thus it is
    applicable in all software projects using object-oriented generic
    programming.
  • LEDA is available for a multitude of different operating systems and compilers.
  • LEDA is available as full package – professional and research edition – and also as free edition with limited functionality.

Technical Qualities

  • LEDA provides efficient generic data
    structures and algorithms which allow to be parameterized by user or
    problem specific data.
  • LEDA offers efficient iterator
    concepts for data structures as well as arbitrarily precise numeric data
    types.The correctness of the results is always guaranteed. Several
    algorithms prove their results by short and understandable test routines
    relying on mathematical theorems.
  • Error handling is accomplished by C++ exceptions or via standard error output.
  • LEDA offers its own memory management
    (it may be switched off, if necessary) that increases the time and space
    efficiency of the LEDA   data types. In addition LEDA   supports all
    common C++ compiler and operating systems of the Windows, Linux and Unix
    world.

Functional Qualities

  • LEDA contains container data types like
    list, array, map, dictionary, priority queue, stack, queue, set,
    dynamic tree, etc, and basic data types such as searching and sorting
    algorithms, as well as numerically exact geometric algorithms, e.g.
    convex hull, delaunay triangulations, line segment intersection
    algorithms, boolean operations on polygons, Minkowski sum, and many
    more. These algorithms also handle all degenerated cases.
  • LEDA offers comfortable graph data
    types realizing an iterator concept as well as a storage and cache
    efficient implementation for static graphs.
  • LEDA offers a wide variety of graph and
    network algorithms like depth-first search, breadth-first search,
    shortest paths, minimal spanning trees, matching, weighted matching
    ,network flow, planarity testing, graph layout and many more. The
    network algorithms can be parameterized in the number type they use
    (int, double, integer, rational). In case of numerically inexact number
    types like int and double, the algorithms automatically detect rounding
    errors and number overflows. Thus the correctness of the result is
    always guaranteed.
  • LEDA contains specific modules covering cryptography, compression, graph and subgraph isomorphisms, and string alignment.
  • Reported results are correct, and integrated check-routines even verify the correctness of the results.
  • All LEDA classes and algorithms are documented in detail. Documentations are online accessible, see LEDA resources for more information.
  • Customers receive timely and efficient
    support in case of installation or application problems. In addition
    Algorithmic Solutions accepts special development orders for individual
    product extensions and customization.

Merits and Benefits

  • Ease of use: LEDA is easy to use, even
    in the daily development process. It provides an intuitive class
    interface. Names of classes, functions and algorithms are standardized
    and well documented, time and space complexity is specified.
  • Reusablility: LEDA code is reusable; development time significantly decreases and rapid prototyping is possible.
  • Efficiency: LEDA provides a wide range of
    efficient algorithms, many of them being proven to be asymptotically
    optimal. LEDA shows excellent results when compared to other libraries.
    Employment of advanced algorithmic methodologies and efficient
    implemented standard algorithms and data structures create added value
    and innovation.
  • Reliability: Our implemented algorithms
    are reliable, they also get along with degenerated inputs and problem
    instances. By providing different number kernels problems arising from
    finite precision computations are prevented. LEDA is well-tested during
    a reliable object-oriented development process as well as by its huge
    number of users.
  • Correctness checking: All algorithmic results are correct. In addition LEDA performs run-time checking.
  • Extensibility: LEDA is easily extensible by means
    of parametric polymorphism.
  • Independency: LEDA   runs on different
    operating systems like Windows, Unix, Linux, with most C++ compilers
    available. It is independent from software libraries such as MFC or STL
    and excels with respect to product continuity and product consistency.
  • Support: The LEDA  user forum
    offers LEDA users from all over the world the possibility to dicuss
    algorithmic and LEDA related problems and features. In this forum you
    may also receive support from our support team.

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