mathematical programming

基本解釋

It involves a lot of intercross subjects and technologies such as machine learning, mathematical programming, statistics, pattern recognition and so on.
它是一門交叉學(xué)科，涉及機(jī)器學(xué)習(xí)、數(shù)學(xué)規(guī)劃、數(shù)理統(tǒng)計(jì)、模式識(shí)別等相關(guān)技術(shù)。
In mathematical programming, the goal of coding is often the standard output values that the analytical procedure (such as MultipleRegression, TimeSeries, or ChiSquared) is expected to generate.
在數(shù)學(xué)編程中，編碼的目標(biāo)通常是分析過(guò)程（比如 MultipleRegression 、 TimeSeries 或 ChiSquared ）所希望生成的標(biāo)準(zhǔn)輸出值。
The method of numerical simulation converts the question of conjugate surfaces into the problem of mathematical programming. The conjugate process can be directly described by numerical simulation.
數(shù)字仿真方法將共軛曲面問(wèn)題歸結(jié)為數(shù)學(xué)規(guī)劃問(wèn)題，可以應(yīng)用數(shù)字化手段直接描述共軛過(guò)程。

數(shù)學(xué)規(guī)劃
Data Envelopment Analysis (DEA) is a mathematical programming approach to assess the relative efficiencies of decision making units with multiple inputs and outputs.
DEA是評(píng)價(jià)一組具有多輸入和多輸出的決策單元相對(duì)效率的數(shù)學(xué)規(guī)劃方法。
計(jì)算機(jī)科學(xué)技術(shù)
數(shù)學(xué)規(guī)劃
It involves a lot of intercross subjects and technologies such as machine learning, mathematical programming, statistics, pattern recognition and so on.
它是一門交叉學(xué)科,涉及機(jī)器學(xué)習(xí)、數(shù)學(xué)規(guī)劃、數(shù)理統(tǒng)計(jì)、模式識(shí)別等相關(guān)技術(shù)。
數(shù)學(xué)
數(shù)學(xué)規(guī)畫
數(shù)學(xué)規(guī)劃