Searching for New Physics with \(\bar {\mathcal {B}}(B_{s,d}\to \mu \bar \mu )/\Delta M_{s,d}\)

Superdeduction in Lambda-Bar-Mu-Mu-Tilde

Superdeduction is a method specially designed to ease the use of first-order theories in predicate logic. The theory is used to enrich the deduction system with new deduction rules in a systematic, correct and complete way. A proof-term language and a cut-elimination reduction already exist for superdeduction, both based on Christian Urban’s work on classical sequent calculus. However the compu...

Strong normalization of lambda-bar-mu-mu-tilde-calculus with explicit substitutions

Measurements of Charged Current Lepton Universality and |V[subscript us]| Using Tau Lepton Decays to e-[over- bar]etau, mu-[over-bar]mu, pi-tau, and K-tau

and |V[subscript us]| Using Tau Lepton Decays to e-[over-bar]etau, mu-[over-bar]mu, pi-tau, and K-tau Citation BABAR Collaboration et al. " Measurements of Charged Current Lepton Universality and |V_{us}| Using Tau Lepton Decays to e^{-} nu [over-bar]_{e} nu _{ tau }, mu^{-} nu [over-bar]_{mu} nu _{ tau }, pi^{-} nu _{ tau }, and K^{-} nu _{ tau }. Article is made available in accordance with t...

A Fuzzy - Controlled Delta - Bar - Delta LearningruleW

| In classic backpropagation nets, as introduced by Rumelhart et al. 1], the weights are modiied according to the method of steepest descent. The goal of this weight modiication is to minimise the error in net-outputs for a given training set. Basing upon Jacobs' work 2], we point out drawbacks of steepest descent and suggest improvements on it. These yield a backpropagation net, which adjusts ...

The non-constructive mu operator, fixed point theories with ordinals, and the bar rule