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)