Fast and accurate computation of orbital collision probability for short-term encounters
R Serra, D Arzelier, M Joldes, JB Lasserre… - Journal of Guidance …, 2016 - arc.aiaa.org
This article provides a new method for computing the probability of collision between two
spherical space objects involved in a short-term encounter under Gaussian-distributed …
spherical space objects involved in a short-term encounter under Gaussian-distributed …
Algebraic perspectives on signomial optimization
M Dressler, R Murray - SIAM Journal on Applied Algebra and Geometry, 2022 - SIAM
Signomials are obtained by generalizing polynomials to allow for arbitrary real exponents.
This generalization offers great expressive power but has historically sacrificed the …
This generalization offers great expressive power but has historically sacrificed the …
Inner approximations for polynomial matrix inequalities and robust stability regions
D Henrion, JB Lasserre - IEEE Transactions on Automatic …, 2011 - ieeexplore.ieee.org
Following a polynomial approach, many robust fixed-order controller design problems can
be formulated as optimization problems whose set of feasible solutions is modeled by …
be formulated as optimization problems whose set of feasible solutions is modeled by …
Simple formula for integration of polynomials on a simplex
JB Lasserre - BIT Numerical Mathematics, 2021 - Springer
We show that integrating a polynomial f of degree t on an arbitrary simplex (with respect to
Lebesgue measure) reduces to evaluating t homogeneous related Bombieri polynomials of …
Lebesgue measure) reduces to evaluating t homogeneous related Bombieri polynomials of …
Distributionally robust optimization with polynomial densities: theory, models and algorithms
E de Klerk, D Kuhn, K Postek - Mathematical Programming, 2020 - Springer
In distributionally robust optimization the probability distribution of the uncertain problem
parameters is itself uncertain, and a fictitious adversary, eg, nature, chooses the worst …
parameters is itself uncertain, and a fictitious adversary, eg, nature, chooses the worst …
Convergence analysis for Lasserre's measure-based hierarchy of upper bounds for polynomial optimization
E De Klerk, M Laurent, Z Sun - Mathematical Programming, 2017 - Springer
We consider the problem of minimizing a continuous function f over a compact set K K. We
analyze a hierarchy of upper bounds proposed by Lasserre (SIAM J Optim 21 (3): 864–885 …
analyze a hierarchy of upper bounds proposed by Lasserre (SIAM J Optim 21 (3): 864–885 …
Let's Make a Splan: Risk-Aware Trajectory Optimization in a Normalized Gaussian Splat
Neural Radiance Fields and Gaussian Splatting have transformed the field of computer
vision by enabling photo-realistic representation of complex scenes. Despite this success …
vision by enabling photo-realistic representation of complex scenes. Despite this success …
[图书][B] Linear and integer programming vs linear integration and counting: a duality viewpoint
JB Lasserre - 2009 - books.google.com
Page 1 Jean Bernard Lasserre SPRINGER SERIES IN OPERATIONS RESEARCH AND
FINANCIAL ENGINEERING Linear and Integer Programming vs Linear Integration and Counting …
FINANCIAL ENGINEERING Linear and Integer Programming vs Linear Integration and Counting …
Probabilistic collision avoidance for long-term space encounters via risk selection
R Serra, D Arzelier, M Joldes… - Advances in Aerospace …, 2015 - Springer
This paper deals with collision avoidance between two space objects involved in a long-
term encounter, assuming Keplerian linearized dynamics. The primary object is an active …
term encounter, assuming Keplerian linearized dynamics. The primary object is an active …
Level sets and nongaussian integrals of positively homogeneous functions
JB Lasserre - International Game Theory Review, 2015 - World Scientific
We investigate various properties of the sublevel set G={x: g (x)≤ 1} and the integration of h
on this sublevel set when g and h are positively homogeneous functions (and in particular …
on this sublevel set when g and h are positively homogeneous functions (and in particular …