8. A method for designing complex, mixed signal circuits, comprising: 1) generating electronic data defining a baseline schematic design; 2) generating a parameterized parasitic-aware netlist using the baseline schematic design; 3) performing design and process parameter statistical optimization and mixed signal figures of merit statistical characterization using the parameterized parasitic-aware netlist and mixed signal component specifications; 4) determining whether one or more predetermined design specifications are satisfied; 5) optimizing the parameterized parasitic-aware netlist if it is determined that the one more predetermined design specifications are not satisfied; 6) generating electronic data defining a schematic-optimal layout design if it is determined that the one or more predetermined design specifications are satisfied; and 7) wherein one or more of 1) through 6) are performed using one or more processors.
8. A method for designing complex, mixed signal circuits, comprising: 1) generating electronic data defining a baseline schematic design; 2) generating a parameterized parasitic-aware netlist using the baseline schematic design; 3) performing design and process parameter statistical optimization and mixed signal figures of merit statistical characterization using the parameterized parasitic-aware netlist and mixed signal component specifications; 4) determining whether one or more predetermined design specifications are satisfied; 5) optimizing the parameterized parasitic-aware netlist if it is determined that the one more predetermined design specifications are not satisfied; 6) generating electronic data defining a schematic-optimal layout design if it is determined that the one or more predetermined design specifications are satisfied; and 7) wherein one or more of 1) through 6) are performed using one or more processors. 12. The method of claim 8 wherein the design and process parameter statistical optimization comprises performing a statistical analysis of the parameterized parasitic-aware netlist for one or more figures of merit using Latin Hypercube Sampling to generate a probability density function for each of the figures of merit.