སྒྱུ་རྩལ
མཛེས་སྡུག་དང་བདེ་ཐང
བཟོ་རིག
རིག་གནས་དང་ལོ་རྒྱུས
དགའ་སྟོན
ཁོར་ཡུག
ཟས་དང་བཏུང་རྫས
ཕྱིར་འཕྲུལ་རིག
ཚན་རིག
རྩེད་འགྲན
རིག་རྩལ
གྱོན་རུང

Newton's Method — Chase a Root Down Tangent Lines You Draw
A hands-on maths project: plot a curve on grid paper, draw the tangent line where it starts, slide down it to the axis, and repeat -- watching your guesses march onto the solution. This is Newton's method; a Python cell checks your root, and a compendium shows its power and its pitfalls.
འགོ་བཙུགས
30 minutes
ལམ་སྟོན
1
1
Following the slope to the answer
Following the slope to the answer
How do you solve an equation with no tidy formula? Around 1669 Isaac Newton gave an answer: guess, draw the tangent line to the curve there, and follow it down to where it crosses zero -- that landing point is a much better guess. Repeat, and you zoom in. You will do it with a ruler.
2
2
Plot the curve
Plot the curve
Rule a grid on card (your graph paper). Plot the curve y = x-cubed minus 2x minus 5 for x from 1.5 to 3 by working out a few points and joining them smoothly. It crosses the x-axis somewhere near x = 2 -- that crossing is the solution you are hunting.
གོམ་པ་འདིའི་རྫས་རིགས:
Cardstock Assorted Pack (50 sheets)1 pieceལག་ཆས་དགོས་མཁོ:
Steel Ruler (30cm)
Graphite Pencil Set3
3
Slide down the tangents
Slide down the tangents
Start at x = 2. Lay your ruler along the curve there to draw the tangent line, and mark where that straight line crosses the x-axis -- read off the new x. Move to that x on the curve, draw the new tangent, and mark where IT crosses. After just two or three tangents your marks pile up on the root, near x = 2.095.
ལག་ཆས་དགོས་མཁོ:
Calculator4
4
Check the root
Check the root
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ལག་ཆས་དགོས་མཁོ:
Desktop Computer
Calculator5
5
Compendium: fast, but handle with care
Compendium: fast, but handle with care
What your tangents teach. (1) Each step replaces the guess with x minus f(x) divided by the slope f'(x); near the root the accuracy doubles every step, dazzlingly fast. (2) Heron's ancient square-root trick is just Newton's method applied to 'x squared minus S'. (3) It needs a derivative (the slope) and a reasonable starting guess -- start in a bad spot, or near a flat part of the curve, and the tangents can fly AWAY from the root instead of toward it. (4) Given a good start, it is the default way computers solve equations in engineering, physics, computer graphics and the training of machine-learning models.
རྫས་རིགས
1- ས་ཆ་འཛིན
ལག་ཆས་དགོས་མཁོ
4- ས་ཆ་འཛིན
- ས་ཆ་འཛིན
- ས་ཆ་འཛིན
- ས་ཆ་འཛིན
འབྲེལ་ཡོད་བིལུ་པིརིན་ཊི
བིལུ་པིརིན་ཊི་འདི་ཚུ་ཐབས་ལམ་དང་རྫས་རིགས། སྤྱི་ཆོས་བགོ་བཤའ་བྱེད
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བཟོ་མཁན་ལ་རྒྱབ་སྐྱོར་བྱེད་པའི་ཆེད་ཁོང་ཚོའི་བིལུ་པིརིན་ཊི་བརྒྱུད་ཐོན་སྐྱེད་ཉོ། བཟོ་མཁན་གྱིས བཟོ་མཁན་གྱི་ཁེ་ཕོགས ཚོང་པས་གཏན་འཁེལ་བྱས་པ། ཡང་ན་བིལུ་པིརིན་ཊི་འདིའི་པར་གསར་བཟོས་ཏེ་ཁྱེད་རང་གི་བིལུ་པིརིན་ཊི་ནང་མཐུད་སྦྲེལ་བྱས་ཏེ་ཡོང་སྒོ་བགོ་བཤའ་བྱེད།