def project(v: Vector, w: Vector) -> Vector:
"""return the projection of v onto the direction w"""
projection_length = dot(v, w)
return scalar_multiply(projection_length, w)
def gradient_step(v: Vector, gradient: Vector, step_size: float) -> Vector:
"""Moves `step_size` in the `gradient` direction from `v`"""
assert len(v) == len(gradient)
step = scalar_multiply(step_size, gradient)
return add(v, step)
def gradient_step(v: Vector, gradient: Vector, step_size: float) -> Vector:
"""v에서 step_size만큼 이동하기"""
assert len(v) == len(gradient)
step = scalar_multiply(step_size, gradient)
retrun add(v, step)
def gradient_step(v: Vector, gradient: Vector, step_size: float) -> Vector:
step = scalar_multiply(step_size, gradient)
return add(v, step)
def gradient_step(v: Vector, gradient: Vector, step_size: float) -> Vector:
"""Moves `step_size` in the `gradient` direction from `v`"""
assert len(v) == len(gradient)
step = scalar_multiply(step_size, gradient)
return add(v, step)
def gradient_step(v: Vector, gradient: Vector, step_size: float) -> Vector:
"""Przejdź o step_size w kierunku gradient od punktu v."""
assert len(v) == len(gradient)
step = scalar_multiply(step_size, gradient)
return add(v, step)
def project(v: Vector, w: Vector) -> Vector:
"""return the projection of v onto the direction w"""
projection_length = dot(v, w)
return scalar_multiply(projection_length, w)
def gradient_step(v:np.array,gradient:np.array,step_size:float)->np.array:
step = scalar_multiply(step_size,gradient)
return add(v,step)