sedumipy.stepdif¶
Port of stepdif.m: primal-dual step-length differentiation for the self-dual model. Pure scalar/vector arithmetic – no cone math or C kernels needed.
Functions
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[t,rcdx] = stepdif(d,R,y0,x,y,z,dy0,dx,dy,dz,b,mint,tpmtd) |
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