MathOpt 服务
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MathOpt 是一个 API，用于对 C++ 和 Python 中的优化问题进行建模和解决。MathOpt 服务是 OR API 中的一组实验性方法，可让您使用端点远程解决数学优化问题：
https://optimization.googleapis.com/v1/mathopt:solveMathOptModel
MathOpt 功能
MathOpt 模型可以包含：
- 整数或连续变量
- 线性约束或二次约束
- 线性目标或二次目标
模型的定义独立于任何求解器，并且求解器可以互换交换。SolveMathOptModel 支持以下求解器：
在求解模型时，MathOpt 服务支持 MathOpt 的大多数功能，包括：
- 双重身份
- 原始光与双光
- 次优原始解和双重解
- 温启动（按解决方案或基于）
- 详细的终止原因
- 分支优先级
- 许多求解器独立参数
尚不支持回调、增量和中断。MathOpt 服务将来将使用更丰富的通信协议支持这些功能。
设置和安装
如需使用 MathOpt 的远程求解功能，您需要可以按照设置指南获取的 API 密钥。MathOpt 提供 C++ 和 Python 版客户端库，从 9.9 版起，这些库就作为 OR-Tools 的一部分提供。
如果您有与 MathOpt 服务相关的问题，请发送电子邮件至 or-mathopt-service+support@google.com。
如未另行说明，那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可，并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情，请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
最后更新时间 (UTC)：2024-08-09。
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