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商品編號:CID7065 碟片數量:1片 銷售價格:200 瀏覽次數:9921
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商品描述
Ziena Optimization KNITRO v9.0 非線性優化軟體 英文破解版
軟體簡介:
KNITRO是一個非線性優化解決方案。 該版本需要AMPL或者Matlab支持
KNITRO is a solver for nonlinear optimization. It is
the most powerful and versatile solver on the
market, providing three state-of-the-art algorithms.
The broad range of behaviors exhibited by nonlinear
problems makes this an essential feature.
KNITRO is designed for large problems with
dimensions running into the hundred thousands. It is
effective for solving linear, quadratic, and
nonlinear smooth optimization problems, both convex
and nonconvex. It is also effective for nonlinear
regression, problems with complementarity
constraints (MPCCs or MPECs), and mixed-integer
programming (MIPs), particular convex mixed integer,
nonlinear problems (MINLP). KNITRO is highly
regarded for its robustness and efficiency.
KNITRO provides a wide range of user options, and
offers interfaces to C, C++, Fortran, Java, AMPL,
AIMMS, GAMS, MPL, Mathematica, MATLAB Microsoft
Excel, and LabVIEW. Continuing active development
and support ensures that KNITRO will remain the
leader in nonlinear optimization.
軟體簡介:
KNITRO是一個非線性優化解決方案。 該版本需要AMPL或者Matlab支持
KNITRO is a solver for nonlinear optimization. It is
the most powerful and versatile solver on the
market, providing three state-of-the-art algorithms.
The broad range of behaviors exhibited by nonlinear
problems makes this an essential feature.
KNITRO is designed for large problems with
dimensions running into the hundred thousands. It is
effective for solving linear, quadratic, and
nonlinear smooth optimization problems, both convex
and nonconvex. It is also effective for nonlinear
regression, problems with complementarity
constraints (MPCCs or MPECs), and mixed-integer
programming (MIPs), particular convex mixed integer,
nonlinear problems (MINLP). KNITRO is highly
regarded for its robustness and efficiency.
KNITRO provides a wide range of user options, and
offers interfaces to C, C++, Fortran, Java, AMPL,
AIMMS, GAMS, MPL, Mathematica, MATLAB Microsoft
Excel, and LabVIEW. Continuing active development
and support ensures that KNITRO will remain the
leader in nonlinear optimization.
