Thomas Mulligan breaks down the common psychological traps and logical oversights that lead many to stumble when faced with deceptively straightforward numerical puzzles.

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Abstract: The conventional magnetotelluric (MT) data inversion methods, such as the nonlinear conjugate gradient method, quasi-Newton method, and Gauss–Newton method and so on, can converge robustly, ...

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