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Skydiving to bootstrap islands
by
van Rees, Balt C.
, Liu, Aike
, Simmons-Duffin, David
, Su, Ning
in
Algorithms
/ Classical and Quantum Gravitation
/ Conformal and W Symmetry
/ Elementary Particles
/ Field Theories in Lower Dimensions
/ Mathematical functions
/ Optimization
/ Parachuting
/ Parameters
/ Physics
/ Physics and Astronomy
/ Quantum Field Theories
/ Quantum Field Theory
/ Quantum Physics
/ Regular Article - Theoretical Physics
/ Relativity Theory
/ Scale and Conformal Symmetries
/ Semidefinite programming
/ Skydiving
/ String Theory
/ Symmetry
/ Variables
2025
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Skydiving to bootstrap islands
by
van Rees, Balt C.
, Liu, Aike
, Simmons-Duffin, David
, Su, Ning
in
Algorithms
/ Classical and Quantum Gravitation
/ Conformal and W Symmetry
/ Elementary Particles
/ Field Theories in Lower Dimensions
/ Mathematical functions
/ Optimization
/ Parachuting
/ Parameters
/ Physics
/ Physics and Astronomy
/ Quantum Field Theories
/ Quantum Field Theory
/ Quantum Physics
/ Regular Article - Theoretical Physics
/ Relativity Theory
/ Scale and Conformal Symmetries
/ Semidefinite programming
/ Skydiving
/ String Theory
/ Symmetry
/ Variables
2025
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Do you wish to request the book?
Skydiving to bootstrap islands
by
van Rees, Balt C.
, Liu, Aike
, Simmons-Duffin, David
, Su, Ning
in
Algorithms
/ Classical and Quantum Gravitation
/ Conformal and W Symmetry
/ Elementary Particles
/ Field Theories in Lower Dimensions
/ Mathematical functions
/ Optimization
/ Parachuting
/ Parameters
/ Physics
/ Physics and Astronomy
/ Quantum Field Theories
/ Quantum Field Theory
/ Quantum Physics
/ Regular Article - Theoretical Physics
/ Relativity Theory
/ Scale and Conformal Symmetries
/ Semidefinite programming
/ Skydiving
/ String Theory
/ Symmetry
/ Variables
2025
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Journal Article
Skydiving to bootstrap islands
2025
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Overview
A
bstract
We study families of semidefinite programs (SDPs) that depend nonlinearly on a small number of “external” parameters. Such families appear universally in numerical bootstrap computations. The traditional method for finding an optimal point in parameter space works by first solving an SDP with fixed external parameters, then moving to a new point in parameter space and repeating the process. Instead, we unify solving the SDP and moving in parameter space in a single algorithm that we call “skydiving”. We test skydiving on some representative problems in the conformal bootstrap, finding significant speedups compared to traditional methods.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V,SpringerOpen
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