nonlinear_newton
nonlinear_newton,
demonstrates how a root of a function f(x) can be approximated using
Newton's method.
The notes:
Scripts and functions:
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cubic.m,
evaluates the cubic function.
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cubic_fp.m,
evaluates the derivative of the cubic function.
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hump.m,
evaluates the hump function.
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hump_fp.m,
evaluates the derivative of the hump function.
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jump.m,
evaluates the jump function.
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jump_fp.m,
evaluates the derivative of the jump function.
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jump_newton.m,
uses Newton's method to seek a root of the jump function.
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kepler.m,
evaluates the Kepler function.
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kepler_fp.m,
evaluates the derivative of the Kepler function.
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kepler_newton.m,
uses Newton's method to seek a root of the Kepler function.
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lambert.m,
evaluates the Lambert function.
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lambert_fp.m,
evaluates the derivative of the Lambert function.
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lambert_newton.m,
uses Newton's method to seek a root of the Lambert function.
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multi.m,
evaluates the multi function.
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multi_fp.m,
evaluates the derivative of the multi function.
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multi_newton.m,
uses Newton's method to seek a root of the multi function.
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newton.m,
applies Newton's method.
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quadratic.m,
evaluates the quadratic function.
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quadratic_fp.m,
evaluates the derivative of the quadratic function.
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quartic.m,
evaluates the quartic function.
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quartic_fp.m,
evaluates the derivative of the quartic function.
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trig.m,
evaluates the trig function.
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trig_fp.m,
evaluates the derivative of the trig function.
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wiggle.m,
evaluates the wiggle function.
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wiggle_fp.m,
evaluates the derivative of the wiggle function.
Text:
Images:
Last revised on 24 September 2019.