An Adaptive Pseudospectral Method for Fractional Order Boundary Value Problems

<table>Comparison of <svg height="16.625" id="M421" style="vertical-align:-3.56265pt" version="1.1" viewbox="0 0 31.237499 16.625" width="31.237499" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg> for <svg height="11.375" id="M422" style="vertical-align:-0.1638pt" version="1.1" viewbox="0 0 49.0625 11.375" width="49.0625" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,11.112)"><path d="M764 650l-7 -26q-61 -10 -91.5 -22.5t-76.5 -48.5l-235 -184q104 -152 208 -276q31 -37 54.5 -48.5t68.5 -16.5l-7 -28h-156q-138 170 -213 284q-19 29 -33.5 35t-33.5 -7l-29 -173q-15 -75 -5.5 -90.5t74.5 -20.5l-5 -28h-260l7 28q58 5 74 21.5t30 89.5l70 378
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</svg>, <svg height="11.375" id="M423" style="vertical-align:-0.1638pt" version="1.1" viewbox="0 0 50.724998 11.375" width="50.724998" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,11.112)"><path d="M857 650l-6 -28q-44 -4 -61.5 -16.5t-29.5 -48.5q-11 -32 -37 -166l-78 -399h-29l-351 537h-4l-56 -276q-24 -120 -24 -164q0 -35 17.5 -46t75.5 -15l-6 -28h-245l7 28q41 2 62 14t31 44q10 30 41 171l53 245q8 44 6.5 60.5t-14.5 33.5q-10 15 -27 19.5t-64 6.5l6 28h153
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</svg> with exact solutions for Example <a href="https://static.hindawi.com/articles/aaa/volume-2012/381708/figures/#ex5">3.5</a>.</table>

Abstract and Applied Analysis

fig1

Figure 1

Figure 1: An Adaptive Pseudospectral Method for Fractional Order Boundary Value Problems 