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How did I get to become a cell biologist? Or, more generally, why do things happen the way they do? The answer provided by the philosopher Democritus and later adopted by Jacques Monod is “everything existing in the universe is the fruit of chance and necessity.” While I read Monod's book Chance and Necessity as an undergraduate student, little did I ...
openaire +5 more sources
Chance-Constrained Optimization in Contact-Rich Systems for Robust Manipulation [PDF]
This paper presents a chance-constrained formulation for robust trajectory optimization during manipulation. In particular, we present a chance-constrained optimization for Stochastic Discrete-time Linear Complementarity Systems (SDLCS). To solve the optimization problem, we formulate Mixed-Integer Quadratic Programming with Chance Constraints (MIQPCC).
arxiv
Studying interactions between lysosomes and mitochondria in living cells is difficult due to the limitations of existing probes. Here, the authors develop new cell-permeable fluorescent probes to image the dynamics of lysosomes and their physical ...
Yubing Han+4 more
doaj +1 more source
Data-Driven Moment-Based Distributionally Robust Chance-Constrained Optimization [PDF]
Many stochastic optimization problems include chance constraints that enforce constraint satisfaction with a specific probability; however, solving an optimization problem with chance constraints assumes that the solver has access to the exact underlying probability distribution, which is often unreasonable.
arxiv
Chance-Constrained Shrunken-Primal-Dual Subgradient (CC-SPDS) Approach for Decentralized Electric Vehicle Charging Control [PDF]
In this paper, we develop a chance-constrained decentralized electric vehicle (EV) charging control framework to achieve "valley-filling" meanwhile meeting individual charging requirements and satisfying distribution network constraints. The control design is formulated as an optimization problem with a stochastic non-separable objective function and ...
arxiv +1 more source
Chance Constrained Stochastic Optimal Control Based on Sample Statistics With Almost Surely Probabilistic Guarantees [PDF]
While techniques have been developed for chance constrained stochastic optimal control using sample disturbance data that provide a probabilistic confidence bound for chance constraint satisfaction, far less is known about how to use sample data in a manner that can provide almost surely guarantees of chance constraint satisfaction.
arxiv
Aristotle’s views on chance and their contemporary relevance [PDF]
In this article I first set out Aristotle's explanation of chance as a term that refers to an event that occurs unusually and that appears significant in the context of the human search to achieve a goal. On this basis Aristotle argues against Democritus
John Dudley
doaj +1 more source
Duniway Middle School Counseling Center [PDF]
This presentation on the Duniway Middle School Counseling Center was given by Kelsey Chance as part of her Kemper Internship during ...
Chance, Kelsey
core +1 more source
Method for Chance Constrained Optimal Control Using Biased Kernel Density Estimators [PDF]
A method is developed to numerically solve chance constrained optimal control problems. The chance constraints are reformulated as nonlinear constraints that retain the probability properties of the original constraint. The reformulation transforms the chance constrained optimal control problem into a deterministic optimal control problem that can be ...
arxiv