Symbolic and numerical methods like finite differentiation perform very badly when applied to complex functions; automatic differentiation (AD), on the other hand, overcomes numerous restrictions as floating-point precision errors, for numerical differentiation, or memory intensive symbolic approach. AD use exact expressions with floating-point values rather than symbolic strings, there is no approximation error [175].
Title: Meshfree Approximation Methods With Matlab ....rar
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