The field of distributed optimization algorithms is wide and growing, and new techniques for categorizing and analyzing existing algorithms are continually being developed. In this Thesis, we leverage control theoretic analysis and block diagram interpretations for existing algorithms to synthesize entirely new families of algorithms. These new algorithm families have...
No two cells in a population are identical to each other. Cell populations are almost universally heterogeneous, with their heterogeneity or variability often underlying complex emergent behavior and phenotypes. Heterogeneity presents a challenge to the discovery, characterization, and control of multicellular systems. Heterogeneity exists across multiple scales, ranging from the...