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Gurobi Optimization Gurobi v4.0.0 英文正式版(智慧引擎提供了新一代的高精確性的描繪軟體)

破解說明:
關掉主程式,破解檔放置於crack夾內,請將破解檔複製於主程式的安裝目錄內既可破解
內容說明:
Gurobi智慧引擎提供了新一代的高精確性的描繪方案。
英文說明:
The Gurobi Optimizer is a state-of-the-art solver
for linear programming (LP), quadratic programming
(QP) and mixed-integer programming (MILP and MIQP).
It was designed from the ground up to exploit modern
multi-core processors. Every Gurobi license allows
parallel processing, and the Gurobi Parallel
Optimizer is deterministic: two separate runs on the
same model will produce identical solution paths.

For solving LP and QP models, the Gurobi Optimizer
includes high-performance implementations of the
primal simplex method, the dual simplex method, and
a parallel barrier solver. For MILP and MIQP models,
the Gurobi Optimizer incorporates the latest methods
including cutting planes and powerful solution
heuristics. All models benefit from advanced
presolve methods to simplify models and slash solve
times.

The Gurobi Optimizer is written in C and is
accessible from several languages. In addition to a
powerful, interactive Python interface and a
matrix-oriented C interface, we provide
object-oriented interfaces from C++, Java, Python,
and the .NET languages. These interfaces have all
been designed to be lightweight and easy to use,
with the goal of greatly enhancing the accessibility
of our products. And since the interfaces are
lightweight, they are faster and use less memory
than other standard interfaces. Our online
documentation (Quick Start Guide, Example Tour and
Reference Manual) describes the use of these
interfaces.

Gurobi is also available through several powerful
third-party modeling systems including AIMMS, AMPL,
FRONTLINE SOLVERS, GAMS, MPL, OptimJ and TOMLAB.

Version 4.0 of the Gurobi Optimizer includes a
number of enhancements. Users of previous versions
may need to make a few minor changes to their
existing programs. Here are the new features, and
the likely changes required to existing programs.
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