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5 results for “gradient”

Formulae (5)

\nabla f = \left(\frac{\partial f}{\partial x}, \frac{\partial f}{\partial y}\right)

Vector of partial derivatives pointing in the steepest ascent.

\theta = \theta - \alpha \nabla J(\theta)

Iterative optimization step to minimize a cost function.

\gamma = \dfrac{T - D}{W}

Climb angle (as a fraction) equals excess thrust divided by weight.

\text{gradient} = \frac{\text{rise}}{\text{run}} \times 100\%

Steepness of terrain as a percentage.

\Delta T = G_T \, d

Temperature rise with depth into the Earth.