Helping non-experts create mathematical models through natural selection

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Science and engineering capabilities such as manage of excessive-precision circulate programs or electrochemical processes are in most cases constructed on mathematical items of dynamic programs. Ph.D. candidate Dhruv Khandelwal developed a framework that enables folk with out ride in files-pushed modeling to barely with out bother invent excessive-high quality, optimized mathematical items of these dynamic programs. That is a needed tool that can assist researchers of any stripe navigate the complex maze of modeling technologies and programs dynamics, and beef up files-pushed be taught output and valorization. As an instance, electrical engineers managing the smartly being of the electrical energy grid or researchers discovering out the growth of most cancers cells. Khandelwal defends his Ph.D. thesis on March 4.
Helping non-experts create mathematical models through natural selection
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