nonlinear_secant
nonlinear_secant,
demonstrates how a root of a function f(x) can be approximated using
the secant method.
The notes:
Scripts and functions:
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cubic.m,
evaluates the cubic function.
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cubic_secant.m,
uses secant() to find a zero of cubic().
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cubic_secant2.m,
uses secant2() to find a zero of cubic().
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hump.m,
evaluates the hump function.
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hump_secant.m,
uses secant() to find a zero of hump().
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hump_secant2.m,
uses secant2() to find a zero of hump().
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kepler.m,
evaluates the Kepler function.
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kepler_secant.m,
uses secant() to find a zero of kepler().
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kepler_secant2.m,
uses secant2() to find a zero of kepler().
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lambert.m,
evaluates the Lambert function.
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lambert_secant.m,
uses secant() to find a zero of lambert().
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lambert_secant2.m,
uses secant2() to find a zero of lambert().
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plots.m
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quadratic.m,
evaluates the quadratic function.
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quadratic_secant.m,
uses secant() to find a zero of quadratic().
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quadratic_secant2.m,
uses secant2() to find a zero of quadratic().
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secant.m,
seeks a root of a function using the secant method.
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secant2.m,
seeks a root of a function using the secant method,
and estimates the rate of convergence.
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trig.m,
evaluates the trig function.
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trig_secant.m,
uses secant() to find a zero of trig().
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trig_secant2.m,
uses secant2() to find a zero of trig().
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wiggle.m,
evaluates the wiggle function.
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wiggle_secant.m,
uses secant() to find a zero of wiggle().
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wiggle_secant2.m,
uses secant2() to find a zero of wiggle().
Text:
Images:
Last revised on 17 September 2019.
