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A Graph Model for Imperative Computation [PDF]
Scott's graph model is a lambda-algebra based on the observation that continuous endofunctions on the lattice of sets of natural numbers can be represented via their graphs. A graph is a relation mapping finite sets of input values to output values. We
Guy McCusker
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Parents’ perceptions of their children’s physical activity during the COVID-19 pandemic
Background COVID-19 has drastically changed the everyday lives of children, including limiting interactions with peers, loss of regularly organized activities, and closure of schools and recreational facilities.
Emma Ostermeier +4 more
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Carving out OPE space and precise O(2) model critical exponents
We develop new tools for isolating CFTs using the numerical bootstrap. A “cutting surface” algorithm for scanning OPE coefficients makes it possible to find islands in high-dimensional spaces.
Shai M. Chester +6 more
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Background Recovery Colleges (RCs) are mental health and well-being education centres where people come together and learn skills that support their wellness. Co-production, co-learning and transformative education are fundamental to RCs.
Holly Harris +8 more
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Holographic bubbles with Jecco: expanding, collapsing and critical
Cosmological phase transitions can proceed via the nucleation of bubbles that subsequently expand and collide. The resulting gravitational wave spectrum depends crucially on the properties of these bubbles.
Yago Bea +6 more
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As a new abstract computational model in evolutionary transfer optimization (ETO), single-objective to multi-objective optimization (SMO) is conducted at the macroscopic level rather than the intermediate level for specific algorithms or the microscopic ...
Wendi Xu +9 more
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Executing convex polytope queries on nD point clouds
Efficient spatial queries are frequently needed to extract useful information from massive nD point clouds. Most previous studies focus on developing solutions for orthogonal window queries, while rarely considering the polytope query.
Haicheng Liu +3 more
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Sensitivity Analysis for Convex Multiobjective Programming in Abstract Spaces
The main object of this paper is to prove that for a linear or convex multiobjective program, a dual program can be obtained which gives the primal sensitivity without any special hypothesis about the way of choosing the optimal solution in the efficient set ...
Balbás, A., Guerra, P.Jiménez
openaire +3 more sources
Methods for evolving robust programs [PDF]
. Many evolutionary computation search spaces require fitness assessment through the sampling of and generalization over a large set of possible cases as input.
Liviu Panait, Sean Luke
core +2 more sources
Background Violence against adolescent girls in humanitarian settings is of urgent concern given their additional vulnerabilities to violence and unique health and well-being needs that have largely been overlooked by the humanitarian community. In order
Kathryn L. Falb +14 more
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