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| author | epapoutsellis <epapoutsellis@gmail.com> | 2019-04-25 17:44:35 +0100 |
|---|---|---|
| committer | epapoutsellis <epapoutsellis@gmail.com> | 2019-04-25 17:44:35 +0100 |
| commit | 0f2d32bd2b8be057a1cf9778c04a9000240d6e75 (patch) | |
| tree | 30b1af2e010033abda27f6cbb247008c0312eb51 | |
| parent | fb6f44dff00c194e4936f39e4be8d0f22e8fe4da (diff) | |
| parent | b726c09f16c256daf92544668d2ff51bed3cf06f (diff) | |
| download | framework-0f2d32bd2b8be057a1cf9778c04a9000240d6e75.tar.gz framework-0f2d32bd2b8be057a1cf9778c04a9000240d6e75.tar.bz2 framework-0f2d32bd2b8be057a1cf9778c04a9000240d6e75.tar.xz framework-0f2d32bd2b8be057a1cf9778c04a9000240d6e75.zip | |
TV dynamic tomo
| -rw-r--r-- | Wrappers/Python/ccpi/optimisation/functions/KullbackLeibler.py | 39 | ||||
| -rw-r--r-- | Wrappers/Python/ccpi/optimisation/functions/L2NormSquared.py | 10 |
2 files changed, 16 insertions, 33 deletions
diff --git a/Wrappers/Python/ccpi/optimisation/functions/KullbackLeibler.py b/Wrappers/Python/ccpi/optimisation/functions/KullbackLeibler.py index 22d21fd..14b5ea0 100644 --- a/Wrappers/Python/ccpi/optimisation/functions/KullbackLeibler.py +++ b/Wrappers/Python/ccpi/optimisation/functions/KullbackLeibler.py @@ -62,19 +62,6 @@ class KullbackLeibler(Function): if out is None: return 1 - self.b/(x + self.bnoise) else: -#<<<<<<< HEAD -# self.b.divide(x+self.bnoise, out=out) -# out.subtract(1, out=out) -# -# def convex_conjugate(self, x): -# -# tmp = self.b/( 1 - x ) -# ind = tmp.as_array()>0 -# -# sel -# -# return (self.b * ( ImageData( numpy.log(tmp) ) - 1 ) - self.bnoise * (x - 1)).sum() -#======= x.add(self.bnoise, out=out) self.b.divide(out, out=out) out.subtract(1, out=out) @@ -116,23 +103,19 @@ class KullbackLeibler(Function): if out is None: z = x + tau * self.bnoise - return 0.5*((z + 1) - ((z-1)**2 + 4 * tau * self.b).sqrt()) else: - z = x + tau * self.bnoise - res = 0.5*((z + 1) - ((z-1)**2 + 4 * tau * self.b).sqrt()) - out.fill(res) -# else: -# z_m = x + tau * self.bnoise -1 -# self.b.multiply(4*tau, out=out) -# z_m.multiply(z_m, out=z_m) -# out += z_m -# out.sqrt(out=out) -# z = z_m + 2 -# z_m.sqrt(out=z_m) -# z_m += 2 -# out *= -1 -# out += z_m + z_m = x + tau * self.bnoise -1 + self.b.multiply(4*tau, out=out) + z_m.multiply(z_m, out=z_m) + out += z_m + out.sqrt(out=out) + z_m.sqrt(out=z_m) + z_m += 2 + out *= -1 + out += z_m + out *= 0.5 + def __rmul__(self, scalar): diff --git a/Wrappers/Python/ccpi/optimisation/functions/L2NormSquared.py b/Wrappers/Python/ccpi/optimisation/functions/L2NormSquared.py index 5490782..20e754e 100644 --- a/Wrappers/Python/ccpi/optimisation/functions/L2NormSquared.py +++ b/Wrappers/Python/ccpi/optimisation/functions/L2NormSquared.py @@ -94,12 +94,12 @@ class L2NormSquared(Function): return x/(1+2*tau) else: -# tmp = x.subtract(self.b) + tmp = x.subtract(self.b) # tmp -= self.b -# tmp /= (1+2*tau) -# tmp += self.b -# return tmp - return (x-self.b)/(1+2*tau) + self.b + tmp /= (1+2*tau) + tmp += self.b + return tmp +# return (x-self.b)/(1+2*tau) + self.b # if self.b is not None: # out=x |